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ORCIDQian Liu 0033
刘乾
Person information
- unicode name: 刘乾
- affiliation: ByteDance, TikTok AI Innovation Center, Singapore
- affiliation (former): Microsoft Research Asia, China
- affiliation (former, PhD): Beihang University, Beijing, China
Other persons with the same name
- Qian Liu — disambiguation page
- Qian Liu 0001
![[0000-0003-2282-4572]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-2282-4572")
— Dalian University of Technology, School of Computer Science and Technology, China (and 1 more) - Qian Liu 0002 — Hong Kong University of Science and Technology, Department of Industrial Engineering and Logistics Management, Hong Kong
- Qian Liu 0003 — Huazhong University of Science and Technology, Hubei Bioinformatics and Molecular Imaging Key Laboratory, Wuhan, China
- Qian Liu 0004 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, China
- Qian Liu 0005 — University of Manchester, UK (and 1 more)
- Qian Liu 0006 — Virginia Tech, Blacksburg, VA, USA
- Qian Liu 0007 — Wuhan University, School of Information Management, Wuhan, China
- Qian Liu 0008 — Nanjing University of Science and Technology, School of Computer Science and Engineering, Nanjing, China
- Qian Liu 0009 — Chongqing University of Posts and Telecommunications, School of Communication and Information Engineering, China (and 1 more)
- Qian Liu 0010 — Nanjing University of Information Science and Technology, School of Electronic and Information Engineering, Nanjing, China (and 1 more)
- Qian Liu 0011 — George Mason University, Department of Geography and Geoinformation Science, Fairfax, VA, USA
- Qian Liu 0012 — University of Auckland, Auckland, New Zealand (and 3 more)
- Qian Liu 0013 — Central University of Finance and Economics, Beijing, China (and 1 more)
- Qian Liu 0014 — Nanyang Technological University, Singapore
- Qian Liu 0015 — University of Manitoba, Winnipeg, Canada
- Qian Liu 0016 — Shandong Normal University, School of Mathematics and Statistics, Jinan, China
- Qian Liu 0017 — Zhejiang University, Hangzhou, China
- Qian Liu 0018 — Shandong Normal University, Jinan, China
- Qian Liu 0019 — Institute of Oceanography, Chinese Academy of Sciences, Qingdao, Shandong, China
- Qian Liu 0020 — Guangdong University of Technology, Guangzhou, China
- Qian Liu 0021 — Nanyang Technological University, Singapore
- Qian Liu 0022 — Harbin Institute of Technology, Harbin, Heilongjiang, China
- Qian Liu 0023 — Beijing Normal University, Beijing, China
- Qian Liu 0024 — University of Chinese Academy of Sciences, Beijing, China
- Qian Liu 0025 — Yanshan University, Qinhuangdao, China
- Qian Liu 0026 — University of Otago, Dunedin, New Zealand
- Qian Liu 0027 — Shanxi University, Taiyuan, China
- Qian Liu 0028 — State Grid Hunan Electric Power Limited Company, China
- Qian Liu 0029 — Beijing Electronic Science and Technology Institute, Beijing, China
- Qian Liu 0030 — Harbin Medical University, Harbin, China
- Qian Liu 0031 — Tianjin University of Technology, Tianjin, China
- Qian Liu 0032 — Jinan University, Guangzhou, Guangdong, China
- Qian Liu 0034 — Xihua University, School of Computer and Software Engineering, Chengdu, China
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2020 – today
- 2025
[j4]Libo Qin, Shijue Huang, Qiguang Chen, Qian Liu, Wanxiang Che, Ruifeng Xu:
MPFToD: a modularized pre-training framework for consistency identification in task-oriented dialogue. Frontiers Comput. Sci. 19(10): 1910351 (2025)- [j3]Haonan Wang, Qian Liu, Chao Du, Tongyao Zhu, Cunxiao Du, Kenji Kawaguchi, Tianyu Pang:
When Precision Meets Position: BFloat16 Breaks Down RoPE in Long-Context Training. Trans. Mach. Learn. Res. 2025 (2025) - [c55]Xuan Zhang, Cunxiao Du, Sicheng Yu, Jiawei Wu, Fengzhuo Zhang, Wei Gao, Qian Liu:
Sparse-to-Dense: A Free Lunch for Lossless Acceleration of Video Understanding in LLMs. ACL (2) 2025: 734-742 - [c54]Siming Huang, Tianhao Cheng, Jason Klein Liu, Weidi Xu, Jiaran Hao, Liuyihan Song, Yang Xu, Jian Yang, Jiaheng Liu, Chenchen Zhang, Linzheng Chai, Ruifeng Yuan, Xianzhen Luo, Qiufeng Wang, YuanTao Fan, Qingfu Zhu, Zhaoxiang Zhang, Yang Gao, Jie Fu, Qian Liu, Houyi Li, Ge Zhang, Yuan Qi, Yinghui Xu, Wei Chu, Zili Wang:
OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models. ACL (1) 2025: 33167-33193 - [c53]Changyu Chen, Zichen Liu, Chao Du, Tianyu Pang, Qian Liu, Arunesh Sinha, Pradeep Varakantham, Min Lin:
Bootstrapping Language Models with DPO Implicit Rewards. ICLR 2025 - [c52]Xiangming Gu, Tianyu Pang, Chao Du, Qian Liu, Fengzhuo Zhang, Cunxiao Du, Ye Wang, Min Lin:
When Attention Sink Emerges in Language Models: An Empirical View. ICLR 2025 - [c51]Fangyu Lei, Jixuan Chen, Yuxiao Ye, Ruisheng Cao, Dongchan Shin, Hongjin Su, Zhaoqing Suo, Hongcheng Gao, Wenjing Hu, Pengcheng Yin, Victor Zhong, Caiming Xiong, Ruoxi Sun, Qian Liu, Sida Wang, Tao Yu:
Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows. ICLR 2025 - [c50]Qian Liu, Xiaosen Zheng, Niklas Muennighoff, Guangtao Zeng, Longxu Dou, Tianyu Pang, Jing Jiang, Min Lin:
RegMix: Data Mixture as Regression for Language Model Pre-training. ICLR 2025 - [c49]Shen Nie, Fengqi Zhu, Chao Du, Tianyu Pang, Qian Liu, Guangtao Zeng, Min Lin, Chongxuan Li:
Scaling up Masked Diffusion Models on Text. ICLR 2025 - [c48]Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu, Jing Jiang, Min Lin:
Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates. ICLR 2025 - [c47]Keyu Duan, Yiran Zhao, Zhili Feng, Jinjie Ni, Tianyu Pang, Qian Liu, Tianle Cai, Longxu Dou, Kenji Kawaguchi, Anirudh Goyal, J. Zico Kolter, Michael Qizhe Shieh:
Unnatural Languages Are Not Bugs but Features for LLMs. ICML 2025 - [c46]Rui Min, Tianyu Pang, Chao Du, Qian Liu, Minhao Cheng, Min Lin:
Improving Your Model Ranking on Chatbot Arena by Vote Rigging. ICML 2025 - [c45]KaShun Shum, Yuzhen Huang, Hongjian Zou, Qi Ding, Yixuan Liao, Xiaoxin Chen, Qian Liu, Junxian He:
Predictive Data Selection: The Data That Predicts Is the Data That Teaches. ICML 2025 - [c44]Fan Zhou, Zengzhi Wang, Qian Liu, Junlong Li, Pengfei Liu:
Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale. ICML 2025 - [i81]Rui Min, Tianyu Pang, Chao Du, Qian Liu, Minhao Cheng, Min Lin:
Improving Your Model Ranking on Chatbot Arena by Vote Rigging. CoRR abs/2501.17858 (2025) - [i80]Longxu Dou, Qian Liu, Fan Zhou, Changyu Chen, Zili Wang, Ziqi Jin, Zichen Liu, Tongyao Zhu, Cunxiao Du, Penghui Yang, Haonan Wang, Jiaheng Liu, Yongchi Zhao, Xiachong Feng, Xin Mao, Man Tsung Yeung, Kunat Pipatanakul, Fajri Koto, Min Si Thu, Hynek Kydlícek, Zeyi Liu, Qunshu Lin, Sittipong Sripaisarnmongkol, Kridtaphad Sae-Khow, Nirattisai Thongchim, Taechawat Konkaew, Narong Borijindargoon, Anh Dao, Matichon Maneegard, Phakphum Artkaew, Zheng-Xin Yong, Quan Nguyen, Wannaphong Phatthiyaphaibun, Hoang H. Tran, Mike Zhang, Shiqi Chen, Tianyu Pang, Chao Du, Xinyi Wan, Wei Lu, Min Lin:
Sailor2: Sailing in South-East Asia with Inclusive Multilingual LLMs. CoRR abs/2502.12982 (2025) - [i79]Heming Xia, Cunxiao Du, Yongqi Li, Qian Liu, Wenjie Li:
Tutorial Proposal: Speculative Decoding for Efficient LLM Inference. CoRR abs/2503.00491 (2025) - [i78]Kashun Shum, Yuzhen Huang, Hongjian Zou, Qi Ding, Yixuan Liao, Xiaoxin Chen, Qian Liu, Junxian He:
Predictive Data Selection: The Data That Predicts Is the Data That Teaches. CoRR abs/2503.00808 (2025) - [i77]Mingzhe Du, Anh Tuan Luu, Bin Ji, Xiaobao Wu, Dong Huang, Terry Yue Zhuo, Qian Liu, See-Kiong Ng:
CodeArena: A Collective Evaluation Platform for LLM Code Generation. CoRR abs/2503.01295 (2025) - [i76]Keyu Duan, Yiran Zhao, Zhili Feng, Jinjie Ni, Tianyu Pang, Qian Liu, Tianle Cai, Longxu Dou, Kenji Kawaguchi, Anirudh Goyal, J. Zico Kolter, Michael Qizhe Shieh:
Unnatural Languages Are Not Bugs but Features for LLMs. CoRR abs/2503.01926 (2025) - [i75]Tongyao Zhu, Qian Liu, Haonan Wang, Shiqi Chen, Xiangming Gu, Tianyu Pang, Min-Yen Kan:
SkyLadder: Better and Faster Pretraining via Context Window Scheduling. CoRR abs/2503.15450 (2025) - [i74]Weihao Zeng, Yuzhen Huang, Qian Liu, Wei Liu, Keqing He, Zejun Ma, Junxian He:
SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild. CoRR abs/2503.18892 (2025) - [i73]Xueguang Ma, Qian Liu, Dongfu Jiang, Ge Zhang, Zejun Ma, Wenhu Chen:
General-Reasoner: Advancing LLM Reasoning Across All Domains. CoRR abs/2505.14652 (2025) - [i72]Xuan Zhang, Cunxiao Du, Sicheng Yu, Jiawei Wu, Fengzhuo Zhang, Wei Gao, Qian Liu:
Sparse-to-Dense: A Free Lunch for Lossless Acceleration of Video Understanding in LLMs. CoRR abs/2505.19155 (2025) - [i71]Mingzhe Du, Luu Tuan Tuan, Yue Liu, Yuhao Qing, Dong Huang, Xinyi He, Qian Liu, Zejun Ma, See-Kiong Ng:
Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization. CoRR abs/2505.23387 (2025) - [i70]Yuhong Chou, Zehao Liu, Rui-Jie Zhu, Xinyi Wan, Tianjian Li, Congying Chu, Qian Liu, Jibin Wu, Zejun Ma:
ZeCO: Zero Communication Overhead Sequence Parallelism for Linear Attention. CoRR abs/2507.01004 (2025) - [i69]Tianyu Zheng, Tianshun Xing, Qingshui Gu, Taoran Liang, Xingwei Qu, Xin Zhou, Yizhi Li, Zhoufutu Wen, Chenghua Lin, Wenhao Huang, Qian Liu, Ge Zhang, Zejun Ma:
First Return, Entropy-Eliciting Explore. CoRR abs/2507.07017 (2025) - [i68]Xinyi He, Qian Liu, Mingzhe Du, Lin Yan, Zhijie Fan, Yiming Huang, Zejian Yuan, Zejun Ma:
SWE-Perf: Can Language Models Optimize Code Performance on Real-World Repositories? CoRR abs/2507.12415 (2025) - [i67]Yizhi Li, Qingshui Gu, Zhoufutu Wen, Ziniu Li, Tianshun Xing, Shuyue Guo, Tianyu Zheng, Xin Zhou, Xingwei Qu, Wangchunshu Zhou, Zheng Zhang, Wei Shen, Qian Liu, Chenghua Lin, Jian Yang, Ge Zhang, Wenhao Huang:
TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling. CoRR abs/2508.17445 (2025) - [i66]Jingkai He, Tianjian Li, Erhu Feng, Dong Du, Qian Liu, Tao Liu, Yubin Xia, Haibo Chen:
History Rhymes: Accelerating LLM Reinforcement Learning with RhymeRL. CoRR abs/2508.18588 (2025) - [i65]Zhenghai Xue, Longtao Zheng, Qian Liu, Yingru Li, Xiaosen Zheng, Zejun Ma, Bo An:
SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning. CoRR abs/2509.02479 (2025) - [i64]Jinjie Ni, Qian Liu, Chao Du, Longxu Dou, Hang Yan, Zili Wang, Tianyu Pang, Michael Qizhe Shieh:
Training Optimal Large Diffusion Language Models. CoRR abs/2510.03280 (2025) - [i63]Terry Yue Zhuo, Xiaolong Jin, Hange Liu, Juyong Jiang, Tianyang Liu, Chen Gong, Bhupesh Bishnoi, Vaisakhi Mishra, Marek Suppa, Noah Ziems, Saiteja Utpala, Ming Xu, Guangyu Song, Kaixin Li, Yuhan Cao, Bo Liu, Zheng Liu, Sabina Abdurakhmanova, Wenhao Yu, Mengzhao Jia, Jihan Yao, Kenneth Hamilton, Kumar Shridhar, Minh Chien Vu, Dingmin Wang, Jiawei Liu, Zijian Wang, Qian Liu, Binyuan Hui, Meg Risdal, Ahsen Khaliq, Atin Sood, Zhenchang Xing, Wasi Uddin Ahmad, John Grundy, David Lo, Banghua Zhu, Xiaoning Du, Torsten Scholak, Leandro von Werra:
BigCodeArena: Unveiling More Reliable Human Preferences in Code Generation via Execution. CoRR abs/2510.08697 (2025) - [i62]Jinjie Ni, Qian Liu, Longxu Dou, Chao Du, Zili Wang, Hang Yan, Tianyu Pang, Michael Qizhe Shieh:
Diffusion Language Models are Super Data Learners. CoRR abs/2511.03276 (2025) - [i61]Fangyu Lei, Jinxiang Meng, Yiming Huang, Junjie Zhao, Yitong Zhang, Jianwen Luo, Xin Zou, Ruiyi Yang, Wenbo Shi, Yan Gao, Shizhu He, Zuo Wang, Qian Liu, Yang Wang, Ke Wang, Jun Zhao, Kang Liu:
DAComp: Benchmarking Data Agents across the Full Data Intelligence Lifecycle. CoRR abs/2512.04324 (2025) - [i60]Jingzhe Ding, Shengda Long, Changxin Pu, Huan Zhou, Hongwan Gao, Xiang Gao, Chao He, Yue Hou, Fei Hu, Zhaojian Li, Weiran Shi, Zaiyuan Wang, Daoguang Zan, Chenchen Zhang, Xiaoxu Zhang, Qizhi Chen, Xianfu Cheng, Bo Deng, Qingshui Gu, Kai Hua, Juntao Lin, Pai Liu, Mingchen Li, Xuanguang Pan, Zifan Peng, Yujia Qin, Yong Shan, Zhewen Tan, Weihao Xie, Zihan Wang, Yishuo Yuan, Jiayu Zhang, Enduo Zhao, Yunfei Zhao, He Zhu, Chenyang Zou, Ming Ding, Jianpeng Jiao, Jiaheng Liu, Minghao Liu, Qian Liu, Chongyao Tao, Jian Yang, Tong Yang, Zhaoxiang Zhang, Xinjie Chen, Wenhao Huang, Ge Zhang:
NL2Repo-Bench: Towards Long-Horizon Repository Generation Evaluation of Coding Agents. CoRR abs/2512.12730 (2025) - [i59]Yingru Li, Jiawei Xu, Jiacai Liu, Yuxuan Tong, Ziniu Li, Tianle Cai, Ge Zhang, Qian Liu, Baoxiang Wang:
Taming the Tail: Stable LLM Reinforcement Learning via Dynamic Vocabulary Pruning. CoRR abs/2512.23087 (2025) - 2024
- [j2]Dongfu Jiang, Xuan He, Huaye Zeng, Cong Wei, Max Ku, Qian Liu, Wenhu Chen:
Mantis: Interleaved Multi-Image Instruction Tuning. Trans. Mach. Learn. Res. 2024 (2024) - [c43]Zhaorui Yang, Tianyu Pang, Haozhe Feng, Han Wang, Wei Chen, Minfeng Zhu, Qian Liu:
Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning. ACL (1) 2024: 1028-1043 - [c42]Tongyao Zhu, Qian Liu, Liang Pang, Zhengbao Jiang, Min-Yen Kan, Min Lin:
Beyond Memorization: The Challenge of Random Memory Access in Language Models. ACL (1) 2024: 3373-3388 - [c41]Hongjin Su, Shuyang Jiang, Yuhang Lai, Haoyuan Wu, Boao Shi, Che Liu, Qian Liu, Tao Yu:
EvoR: Evolving Retrieval for Code Generation. EMNLP (Findings) 2024: 2538-2554 - [c40]Yajing Yang, Qian Liu, Min-Yen Kan:
DataTales: A Benchmark for Real-World Intelligent Data Narration. EMNLP 2024: 10764-10788 - [c39]Niklas Muennighoff, Qian Liu, Armel Randy Zebaze, Qinkai Zheng, Binyuan Hui, Terry Yue Zhuo, Swayam Singh, Xiangru Tang, Leandro von Werra, Shayne Longpre:
OctoPack: Instruction Tuning Code Large Language Models. ICLR 2024 - [c38]Yiheng Xu, Hongjin Su, Chen Xing, Boyu Mi, Qian Liu, Weijia Shi, Binyuan Hui, Fan Zhou, Yitao Liu, Tianbao Xie, Zhoujun Cheng, Siheng Zhao, Lingpeng Kong, Bailin Wang, Caiming Xiong, Tao Yu:
Lemur: Harmonizing Natural Language and Code for Language Agents. ICLR 2024 - [c37]Xiangming Gu, Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu, Ye Wang, Jing Jiang, Min Lin:
Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast. ICML 2024 - [c36]Fangyu Lei, Qian Liu, Yiming Huang, Shizhu He, Jun Zhao, Kang Liu:
S3Eval: A Synthetic, Scalable, Systematic Evaluation Suite for Large Language Model. NAACL-HLT 2024: 1259-1286 - [c35]Ruisheng Cao, Fangyu Lei, Haoyuan Wu, Jixuan Chen, Yeqiao Fu, Hongcheng Gao, Xinzhuang Xiong, Hanchong Zhang, Wenjing Hu, Yuchen Mao, Tianbao Xie, Hongshen Xu, Danyang Zhang, Sida I. Wang, Ruoxi Sun, Pengcheng Yin, Caiming Xiong, Ansong Ni, Qian Liu, Victor Zhong, Lu Chen, Kai Yu, Tao Yu:
Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows? NeurIPS 2024 - [c34]Mingzhe Du, Anh Tuan Luu, Bin Ji, Qian Liu, See-Kiong Ng:
Mercury: A Code Efficiency Benchmark for Code Large Language Models. NeurIPS 2024 - [c33]Chaofan Tao, Qian Liu, Longxu Dou, Niklas Muennighoff, Zhongwei Wan, Ping Luo, Min Lin, Ngai Wong:
Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies. NeurIPS 2024 - [c32]Xuan Zhang, Chao Du, Tianyu Pang, Qian Liu, Wei Gao, Min Lin:
Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs. NeurIPS 2024 - [c31]Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu, Jing Jiang, Min Lin:
Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses. NeurIPS 2024 - [i58]Terry Yue Zhuo, Armel Zebaze, Nitchakarn Suppattarachai, Leandro von Werra, Harm de Vries, Qian Liu, Niklas Muennighoff:
Astraios: Parameter-Efficient Instruction Tuning Code Large Language Models. CoRR abs/2401.00788 (2024) - [i57]Xiangming Gu, Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu, Ye Wang, Jing Jiang, Min Lin:
Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast. CoRR abs/2402.08567 (2024) - [i56]Dong Lu, Tianyu Pang, Chao Du, Qian Liu, Xianjun Yang, Min Lin:
Test-Time Backdoor Attacks on Multimodal Large Language Models. CoRR abs/2402.08577 (2024) - [i55]Tianlin Li, Xiaoyu Zhang, Chao Du, Tianyu Pang, Qian Liu, Qing Guo, Chao Shen, Yang Liu:
Your Large Language Model is Secretly a Fairness Proponent and You Should Prompt it Like One. CoRR abs/2402.12150 (2024) - [i54]Hongjin Su, Shuyang Jiang, Yuhang Lai, Haoyuan Wu, Boao Shi, Che Liu, Qian Liu, Tao Yu:
ARKS: Active Retrieval in Knowledge Soup for Code Generation. CoRR abs/2402.12317 (2024) - [i53]Zhaorui Yang, Qian Liu, Tianyu Pang, Han Wang, Haozhe Feng, Minfeng Zhu, Wei Chen:
Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning. CoRR abs/2402.13669 (2024) - [i52]Tianlin Li, Qian Liu, Tianyu Pang, Chao Du, Qing Guo, Yang Liu, Min Lin:
Purifying Large Language Models by Ensembling a Small Language Model. CoRR abs/2402.14845 (2024) - [i51]Anton Lozhkov, Raymond Li, Loubna Ben Allal, Federico Cassano, Joel Lamy-Poirier, Nouamane Tazi, Ao Tang, Dmytro Pykhtar, Jiawei Liu, Yuxiang Wei, Tianyang Liu, Max Tian, Denis Kocetkov, Arthur Zucker, Younes Belkada, Zijian Wang, Qian Liu, Dmitry Abulkhanov, Indraneil Paul, Zhuang Li, Wen-Ding Li, Megan Risdal, Jia Li, Jian Zhu, Terry Yue Zhuo, Evgenii Zheltonozhskii, Nii Osae Osae Dade, Wenhao Yu, Lucas Krauß, Naman Jain, Yixuan Su, Xuanli He, Manan Dey, Edoardo Abati, Yekun Chai, Niklas Muennighoff, Xiangru Tang, Muhtasham Oblokulov, Christopher Akiki, Marc Marone, Chenghao Mou, Mayank Mishra, Alex Gu, Binyuan Hui, Tri Dao, Armel Zebaze, Olivier Dehaene, Nicolas Patry, Canwen Xu, Julian J. McAuley, Han Hu, Torsten Scholak, Sébastien Paquet, Jennifer Robinson, Carolyn Jane Anderson, Nicolas Chapados, et al.:
StarCoder 2 and The Stack v2: The Next Generation. CoRR abs/2402.19173 (2024) - [i50]Tongyao Zhu, Qian Liu, Liang Pang, Zhengbao Jiang, Min-Yen Kan, Min Lin:
Beyond Memorization: The Challenge of Random Memory Access in Language Models. CoRR abs/2403.07805 (2024) - [i49]Longxu Dou, Qian Liu, Guangtao Zeng, Jia Guo, Jiahui Zhou, Wei Lu, Min Lin:
Sailor: Open Language Models for South-East Asia. CoRR abs/2404.03608 (2024) - [i48]Dongfu Jiang, Xuan He, Huaye Zeng, Cong Wei, Max Ku, Qian Liu, Wenhu Chen:
MANTIS: Interleaved Multi-Image Instruction Tuning. CoRR abs/2405.01483 (2024) - [i47]Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu, Jing Jiang, Min Lin:
Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses. CoRR abs/2406.01288 (2024) - [i46]Xuan Zhang, Chao Du, Tianyu Pang, Qian Liu, Wei Gao, Min Lin:
Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs. CoRR abs/2406.09136 (2024) - [i45]Changyu Chen, Zichen Liu, Chao Du, Tianyu Pang, Qian Liu, Arunesh Sinha, Pradeep Varakantham, Min Lin:
Bootstrapping Language Models with DPO Implicit Rewards. CoRR abs/2406.09760 (2024) - [i44]Terry Yue Zhuo, Minh Chien Vu, Jenny Chim, Han Hu, Wenhao Yu, Ratnadira Widyasari, Imam Nur Bani Yusuf, Haolan Zhan, Junda He, Indraneil Paul, Simon Brunner, Chen Gong, Thong Hoang, Armel Randy Zebaze, Xiaoheng Hong, Wen-Ding Li, Jean Kaddour, Ming Xu, Zhihan Zhang, Prateek Yadav, Naman Jain, Alex Gu, Zhoujun Cheng, Jiawei Liu, Qian Liu, Zijian Wang, David Lo, Binyuan Hui, Niklas Muennighoff, Daniel Fried, Xiaoning Du, Harm de Vries, Leandro von Werra:
BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions. CoRR abs/2406.15877 (2024) - [i43]Qian Liu, Xiaosen Zheng, Niklas Muennighoff, Guangtao Zeng, Longxu Dou, Tianyu Pang, Jing Jiang, Min Lin:
RegMix: Data Mixture as Regression for Language Model Pre-training. CoRR abs/2407.01492 (2024) - [i42]Ruisheng Cao, Fangyu Lei, Haoyuan Wu, Jixuan Chen, Yeqiao Fu, Hongcheng Gao, Xinzhuang Xiong, Hanchong Zhang, Yuchen Mao, Wenjing Hu, Tianbao Xie, Hongshen Xu, Danyang Zhang, Sida Wang, Ruoxi Sun, Pengcheng Yin, Caiming Xiong, Ansong Ni, Qian Liu, Victor Zhong, Lu Chen, Kai Yu, Tao Yu:
Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows? CoRR abs/2407.10956 (2024) - [i41]Chaofan Tao, Qian Liu, Longxu Dou, Niklas Muennighoff, Zhongwei Wan, Ping Luo, Min Lin, Ngai Wong:
Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies. CoRR abs/2407.13623 (2024) - [i40]Fan Zhou, Zengzhi Wang, Qian Liu, Junlong Li, Pengfei Liu:
Programming Every Example: Lifting Pre-training Data Quality like Experts at Scale. CoRR abs/2409.17115 (2024) - [i39]Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu, Jing Jiang, Min Lin:
Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates. CoRR abs/2410.07137 (2024) - [i38]Xiangming Gu, Tianyu Pang, Chao Du, Qian Liu, Fengzhuo Zhang, Cunxiao Du, Ye Wang, Min Lin:
When Attention Sink Emerges in Language Models: An Empirical View. CoRR abs/2410.10781 (2024) - [i37]Yajing Yang, Qian Liu, Min-Yen Kan:
DataTales: A Benchmark for Real-World Intelligent Data Narration. CoRR abs/2410.17859 (2024) - [i36]Shen Nie, Fengqi Zhu, Chao Du, Tianyu Pang, Qian Liu, Guangtao Zeng, Min Lin, Chongxuan Li:
Scaling up Masked Diffusion Models on Text. CoRR abs/2410.18514 (2024) - [i35]Siming Huang, Tianhao Cheng, Jason Klein Liu, Jiaran Hao, Liuyihan Song, Yang Xu, J. Yang, J. H. Liu, Chenchen Zhang, Linzheng Chai, Ruifeng Yuan, Zhaoxiang Zhang, Jie Fu, Qian Liu, Ge Zhang, Zili Wang, Yuan Qi, Yinghui Xu, Wei Chu:
OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models. CoRR abs/2411.04905 (2024) - [i34]Fangyu Lei, Jixuan Chen, Yuxiao Ye, Ruisheng Cao, Dongchan Shin, Hongjin Su, Zhaoqing Suo, Hongcheng Gao, Wenjing Hu, Pengcheng Yin, Victor Zhong, Caiming Xiong, Ruoxi Sun, Qian Liu, Sida I. Wang, Tao Yu:
Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows. CoRR abs/2411.07763 (2024) - [i33]Haonan Wang, Qian Liu, Chao Du, Tongyao Zhu, Cunxiao Du, Kenji Kawaguchi, Tianyu Pang:
When Precision Meets Position: BFloat16 Breaks Down RoPE in Long-Context Training. CoRR abs/2411.13476 (2024) - 2023
- [j1]Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, Qian Liu, Evgenii Zheltonozhskii, Terry Yue Zhuo, Thomas Wang, Olivier Dehaene, Mishig Davaadorj, Joel Lamy-Poirier, João Monteiro, Oleh Shliazhko, Nicolas Gontier, Nicholas Meade, Armel Zebaze, Ming-Ho Yee, Logesh Kumar Umapathi, Jian Zhu, Benjamin Lipkin, Muhtasham Oblokulov, Zhiruo Wang, Rudra Murthy V, Jason T. Stillerman, Siva Sankalp Patel, Dmitry Abulkhanov, Marco Zocca, Manan Dey, Zhihan Zhang, Nour Fahmy, Urvashi Bhattacharyya, Wenhao Yu, Swayam Singh, Sasha Luccioni, Paulo Villegas, Maxim Kunakov, Fedor Zhdanov, Manuel Romero, Tony Lee, Nadav Timor, Jennifer Ding, Claire Schlesinger, Hailey Schoelkopf, Jan Ebert, Tri Dao, Mayank Mishra, Alex Gu, Jennifer Robinson, Carolyn Jane Anderson, Brendan Dolan-Gavitt, Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, Harm de Vries:
StarCoder: may the source be with you! Trans. Mach. Learn. Res. 2023 (2023) - [c30]Bill Yuchen Lin, Chengsong Huang, Qian Liu, Wenda Gu, Sam Sommerer, Xiang Ren:
On Grounded Planning for Embodied Tasks with Language Models. AAAI 2023: 13192-13200 - [c29]Hao Fei, Bobo Li, Qian Liu, Lidong Bing, Fei Li, Tat-Seng Chua:
Reasoning Implicit Sentiment with Chain-of-Thought Prompting. ACL (2) 2023: 1171-1182 - [c28]Xinyuan Lu, Liangming Pan, Qian Liu, Preslav Nakov, Min-Yen Kan:
SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables. EMNLP 2023: 7787-7813 - [c27]Zhengbao Jiang, Frank F. Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, Graham Neubig:
Active Retrieval Augmented Generation. EMNLP 2023: 7969-7992 - [c26]Tianping Zhang, Shaowen Wang, Shuicheng Yan, Li Jian, Qian Liu:
Generative Table Pre-training Empowers Models for Tabular Prediction. EMNLP 2023: 14836-14854 - [c25]Jianan Zhao, Meng Qu, Chaozhuo Li, Hao Yan, Qian Liu, Rui Li, Xing Xie, Jian Tang:
Learning on Large-scale Text-attributed Graphs via Variational Inference. ICLR 2023 - [c24]Weichen Yu, Tianyu Pang, Qian Liu, Chao Du, Bingyi Kang, Yan Huang, Min Lin, Shuicheng Yan:
Bag of Tricks for Training Data Extraction from Language Models. ICML 2023: 40306-40320 - [c23]Tianping Zhang, Zheyu Aqa Zhang, Zhiyuan Fan, Haoyan Luo, Fengyuan Liu, Qian Liu, Wei Cao, Li Jian:
OpenFE: Automated Feature Generation with Expert-level Performance. ICML 2023: 41880-41901 - [i32]Loubna Ben Allal, Raymond Li, Denis Kocetkov, Chenghao Mou, Christopher Akiki, Carlos Muñoz Ferrandis, Niklas Muennighoff, Mayank Mishra, Alex Gu, Manan Dey, Logesh Kumar Umapathi, Carolyn Jane Anderson, Yangtian Zi, Joel Lamy-Poirier, Hailey Schoelkopf, Sergey Troshin, Dmitry Abulkhanov, Manuel Romero, Michael Lappert, Francesco De Toni, Bernardo García del Río, Qian Liu, Shamik Bose, Urvashi Bhattacharyya, Terry Yue Zhuo, Ian Yu, Paulo Villegas, Marco Zocca, Sourab Mangrulkar, David Lansky, Huu Nguyen, Danish Contractor, Luis Villa, Jia Li, Dzmitry Bahdanau, Yacine Jernite, Sean Hughes, Daniel Fried, Arjun Guha, Harm de Vries, Leandro von Werra:
SantaCoder: don't reach for the stars! CoRR abs/2301.03988 (2023) - [i31]Weichen Yu, Tianyu Pang, Qian Liu, Chao Du, Bingyi Kang, Yan Huang, Min Lin, Shuicheng Yan:
Bag of Tricks for Training Data Extraction from Language Models. CoRR abs/2302.04460 (2023) - [i30]Qian Liu, Fan Zhou, Zhengbao Jiang, Longxu Dou, Min Lin:
From Zero to Hero: Examining the Power of Symbolic Tasks in Instruction Tuning. CoRR abs/2304.07995 (2023) - [i29]Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, Qian Liu, Evgenii Zheltonozhskii, Terry Yue Zhuo, Thomas Wang, Olivier Dehaene, Mishig Davaadorj, Joel Lamy-Poirier, João Monteiro, Oleh Shliazhko, Nicolas Gontier, Nicholas Meade, Armel Zebaze, Ming-Ho Yee, Logesh Kumar Umapathi, Jian Zhu, Benjamin Lipkin, Muhtasham Oblokulov, Zhiruo Wang, Rudra Murthy V, Jason Stillerman, Siva Sankalp Patel, Dmitry Abulkhanov, Marco Zocca, Manan Dey, Zhihan Zhang, Nour Moustafa-Fahmy, Urvashi Bhattacharyya, Wenhao Yu, Swayam Singh, Sasha Luccioni, Paulo Villegas, Maxim Kunakov, Fedor Zhdanov, Manuel Romero, Tony Lee, Nadav Timor, Jennifer Ding, Claire Schlesinger, Hailey Schoelkopf, Jan Ebert, Tri Dao, Mayank Mishra, Alex Gu, Jennifer Robinson, Carolyn Jane Anderson, Brendan Dolan-Gavitt, Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, Harm de Vries:
StarCoder: may the source be with you! CoRR abs/2305.06161 (2023) - [i28]Zhengbao Jiang, Frank F. Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, Graham Neubig:
Active Retrieval Augmented Generation. CoRR abs/2305.06983 (2023) - [i27]Tianping Zhang, Shaowen Wang, Shuicheng Yan, Jian Li, Qian Liu:
Generative Table Pre-training Empowers Models for Tabular Prediction. CoRR abs/2305.09696 (2023) - [i26]Hao Fei, Bobo Li, Qian Liu, Lidong Bing, Fei Li, Tat-Seng Chua:
Reasoning Implicit Sentiment with Chain-of-Thought Prompting. CoRR abs/2305.11255 (2023) - [i25]Xinyuan Lu, Liangming Pan, Qian Liu, Preslav Nakov, Min-Yen Kan:
SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables. CoRR abs/2305.13186 (2023) - [i24]Chengsong Huang, Qian Liu, Bill Yuchen Lin, Tianyu Pang, Chao Du, Min Lin:
LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition. CoRR abs/2307.13269 (2023) - [i23]Keyu Duan, Qian Liu, Tat-Seng Chua, Shuicheng Yan, Wei Tsang Ooi, Qizhe Xie, Junxian He:
SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning. CoRR abs/2308.02565 (2023) - [i22]Niklas Muennighoff, Qian Liu, Armel Zebaze, Qinkai Zheng, Binyuan Hui, Terry Yue Zhuo, Swayam Singh, Xiangru Tang, Leandro von Werra, Shayne Longpre:
OctoPack: Instruction Tuning Code Large Language Models. CoRR abs/2308.07124 (2023) - [i21]Yiheng Xu, Hongjin Su, Chen Xing, Boyu Mi, Qian Liu, Weijia Shi, Binyuan Hui, Fan Zhou, Yitao Liu, Tianbao Xie, Zhoujun Cheng, Siheng Zhao, Lingpeng Kong, Bailin Wang, Caiming Xiong, Tao Yu:
Lemur: Harmonizing Natural Language and Code for Language Agents. CoRR abs/2310.06830 (2023) - [i20]Tianbao Xie, Fan Zhou, Zhoujun Cheng, Peng Shi, Luoxuan Weng, Yitao Liu, Toh Jing Hua, Junning Zhao, Qian Liu, Che Liu, Leo Z. Liu, Yiheng Xu, Hongjin Su, Dongchan Shin, Caiming Xiong, Tao Yu:
OpenAgents: An Open Platform for Language Agents in the Wild. CoRR abs/2310.10634 (2023) - [i19]Fangyu Lei, Qian Liu, Yiming Huang, Shizhu He, Jun Zhao, Kang Liu:
S3Eval: A Synthetic, Scalable, Systematic Evaluation Suite for Large Language Models. CoRR abs/2310.15147 (2023) - 2022
- [c22]Libo Qin, Qiguang Chen, Tianbao Xie, Qian Liu, Shijue Huang, Wanxiang Che, Zhou Yu:
CGIM: A Cycle Guided Interactive Learning Model for Consistency Identification in Task-oriented Dialogue. COLING 2022: 461-470 - [c21]Qi Shi, Qian Liu, Bei Chen, Yu Zhang, Ting Liu, Jian-Guang Lou:
LEMON: Language-Based Environment Manipulation via Execution-Guided Pre-training. EMNLP (Findings) 2022: 471-485 - [c20]Xinyu Pi, Qian Liu, Bei Chen, Morteza Ziyadi, Zeqi Lin, Qiang Fu, Yan Gao, Jian-Guang Lou, Weizhu Chen:
Reasoning Like Program Executors. EMNLP 2022: 761-779 - [c19]Zhenwen Li, Jiaqi Guo, Qian Liu, Jian-Guang Lou, Tao Xie:
Exploring the Secrets Behind the Learning Difficulty of Meaning Representations for Semantic Parsing. EMNLP 2022: 3616-3625 - [c18]Junjie Huang, Wanjun Zhong, Qian Liu, Ming Gong, Daxin Jiang, Nan Duan:
Mixed-modality Representation Learning and Pre-training for Joint Table-and-Text Retrieval in OpenQA. EMNLP (Findings) 2022: 4117-4129 - [c17]Qian Liu, Bei Chen, Jiaqi Guo, Morteza Ziyadi, Zeqi Lin, Weizhu Chen, Jian-Guang Lou:
TAPEX: Table Pre-training via Learning a Neural SQL Executor. ICLR 2022 - [c16]Wanjun Zhong, Junjie Huang, Qian Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan:
Reasoning over Hybrid Chain for Table-and-Text Open Domain Question Answering. IJCAI 2022: 4531-4537 - [i18]Wanjun Zhong, Junjie Huang, Qian Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan:
Reasoning over Hybrid Chain for Table-and-Text Open Domain QA. CoRR abs/2201.05880 (2022) - [i17]Qi Shi, Qian Liu, Bei Chen, Yu Zhang, Ting Liu, Jian-Guang Lou:
LEMON: Language-Based Environment Manipulation via Execution-Guided Pre-training. CoRR abs/2201.08081 (2022) - [i16]Xinyu Pi, Qian Liu, Bei Chen, Morteza Ziyadi, Zeqi Lin, Yan Gao, Qiang Fu, Jian-Guang Lou, Weizhu Chen:
Reasoning Like Program Executors. CoRR abs/2201.11473 (2022) - [i15]Shengnan An, Yifei Li, Zeqi Lin, Qian Liu, Bei Chen, Qiang Fu, Weizhu Chen, Nanning Zheng, Jian-Guang Lou:
Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models. CoRR abs/2203.03131 (2022) - [i14]Bill Yuchen Lin, Chengsong Huang, Qian Liu, Wenda Gu, Sam Sommerer, Xiang Ren:
On Grounded Planning for Embodied Tasks with Language Models. CoRR abs/2209.00465 (2022) - [i13]Fan Zhou, Haoyu Dong, Qian Liu, Zhoujun Cheng, Shi Han, Dongmei Zhang:
Reflection of Thought: Inversely Eliciting Numerical Reasoning in Language Models via Solving Linear Systems. CoRR abs/2210.05075 (2022) - [i12]Junjie Huang, Wanjun Zhong, Qian Liu, Ming Gong, Daxin Jiang, Nan Duan:
Mixed-modality Representation Learning and Pre-training for Joint Table-and-Text Retrieval in OpenQA. CoRR abs/2210.05197 (2022) - [i11]Jianan Zhao, Meng Qu, Chaozhuo Li, Hao Yan, Qian Liu, Rui Li, Xing Xie, Jian Tang:
Learning on Large-scale Text-attributed Graphs via Variational Inference. CoRR abs/2210.14709 (2022) - 2021
- [c15]Shuang Chen, Qian Liu, Zhiwei Yu, Chin-Yew Lin, Jian-Guang Lou, Feng Jiang:
ReTraCk: A Flexible and Efficient Framework for Knowledge Base Question Answering. ACL (demo) 2021: 325-336 - [c14]Chenyao Liu, Shengnan An, Zeqi Lin, Qian Liu, Bei Chen, Jian-Guang Lou, Lijie Wen, Nanning Zheng, Dongmei Zhang:
Learning Algebraic Recombination for Compositional Generalization. ACL/IJCNLP (Findings) 2021: 1129-1144 - [c13]Qian Liu, Dejian Yang, Jiahui Zhang, Jiaqi Guo, Bin Zhou, Jian-Guang Lou:
Awakening Latent Grounding from Pretrained Language Models for Semantic Parsing. ACL/IJCNLP (Findings) 2021: 1174-1189 - [c12]Jiaqi Guo, Ziliang Si, Yu Wang, Qian Liu, Ming Fan, Jian-Guang Lou, Zijiang Yang, Ting Liu:
Chase: A Large-Scale and Pragmatic Chinese Dataset for Cross-Database Context-Dependent Text-to-SQL. ACL/IJCNLP (1) 2021: 2316-2331 - [c11]Yuntao Li, Bei Chen, Qian Liu, Yan Gao, Jian-Guang Lou, Yan Zhang, Dongmei Zhang:
Keep the Structure: A Latent Shift-Reduce Parser for Semantic Parsing. IJCAI 2021: 3864-3870 - [i10]Chenyao Liu, Shengnan An, Zeqi Lin, Qian Liu, Bei Chen, Jian-Guang Lou, Lijie Wen, Nanning Zheng, Dongmei Zhang:
Learning Algebraic Recombination for Compositional Generalization. CoRR abs/2107.06516 (2021) - [i9]Qian Liu, Bei Chen, Jiaqi Guo, Morteza Ziyadi, Zeqi Lin, Weizhu Chen, Jian-Guang Lou:
TAPEX: Table Pre-training via Learning a Neural SQL Executor. CoRR abs/2107.07653 (2021) - [i8]Qian Liu, Dejian Yang, Jiahui Zhang, Jiaqi Guo, Bin Zhou, Jian-Guang Lou:
Awakening Latent Grounding from Pretrained Language Models for Semantic Parsing. CoRR abs/2109.10540 (2021) - 2020
- [c10]Qian Liu, Yihong Chen, Bei Chen, Jian-Guang Lou, Zixuan Chen, Bin Zhou, Dongmei Zhang:
You Impress Me: Dialogue Generation via Mutual Persona Perception. ACL 2020: 1417-1427 - [c9]Jiaqi Guo, Qian Liu, Jian-Guang Lou, Zhenwen Li, Xueqing Liu, Tao Xie, Ting Liu:
Benchmarking Meaning Representations in Neural Semantic Parsing. EMNLP (1) 2020: 1520-1540 - [c8]Qian Liu, Bei Chen, Jian-Guang Lou, Bin Zhou, Dongmei Zhang:
Incomplete Utterance Rewriting as Semantic Segmentation. EMNLP (1) 2020: 2846-2857 - [c7]Yuntao Li, Bei Chen, Qian Liu, Yan Gao, Jian-Guang Lou, Yan Zhang, Dongmei Zhang:
"What Do You Mean by That?" A Parser-Independent Interactive Approach for Enhancing Text-to-SQL. EMNLP (1) 2020: 6913-6922 - [c6]Qian Liu, Bei Chen, Jiaqi Guo, Jian-Guang Lou, Bin Zhou, Dongmei Zhang:
How Far are We from Effective Context Modeling? An Exploratory Study on Semantic Parsing in Context. IJCAI 2020: 3580-3586 - [c5]Yu Zeng, Yan Gao, Jiaqi Guo, Bei Chen, Qian Liu, Jian-Guang Lou, Fei Teng, Dongmei Zhang:
RECPARSER: A Recursive Semantic Parsing Framework for Text-to-SQL Task. IJCAI 2020: 3644-3650 - [c4]Qian Liu, Shengnan An, Jian-Guang Lou, Bei Chen, Zeqi Lin, Yan Gao, Bin Zhou, Nanning Zheng, Dongmei Zhang:
Compositional Generalization by Learning Analytical Expressions. NeurIPS 2020 - [i7]Qian Liu, Bei Chen, Jiaqi Guo, Jian-Guang Lou, Bin Zhou, Dongmei Zhang:
How Far are We from Effective Context Modeling ? An Exploratory Study on Semantic Parsing in Context. CoRR abs/2002.00652 (2020) - [i6]Qian Liu, Yihong Chen, Bei Chen, Jian-Guang Lou, Zixuan Chen, Bin Zhou, Dongmei Zhang:
You Impress Me: Dialogue Generation via Mutual Persona Perception. CoRR abs/2004.05388 (2020) - [i5]Qian Liu, Shengnan An, Jian-Guang Lou, Bei Chen, Zeqi Lin, Yan Gao, Bin Zhou, Nanning Zheng, Dongmei Zhang:
Compositional Generalization by Learning Analytical Expressions. CoRR abs/2006.10627 (2020) - [i4]Qian Liu, Bei Chen, Jian-Guang Lou, Bin Zhou, Dongmei Zhang:
Incomplete Utterance Rewriting as Semantic Segmentation. CoRR abs/2009.13166 (2020) - [i3]Yuntao Li, Bei Chen, Qian Liu, Yan Gao, Jian-Guang Lou, Yan Zhang, Dongmei Zhang:
"What Do You Mean by That?" A Parser-Independent Interactive Approach for Enhancing Text-to-SQL. CoRR abs/2011.04151 (2020)
2010 – 2019
- 2019
- [c3]Qian Liu, Bei Chen, Jian-Guang Lou, Ge Jin, Dongmei Zhang:
FANDA: A Novel Approach to Perform Follow-Up Query Analysis. AAAI 2019: 6770-6777 - [c2]Haoyan Liu, Lei Fang, Qian Liu, Bei Chen, Jian-Guang Lou, Zhoujun Li:
Leveraging Adjective-Noun Phrasing Knowledge for Comparison Relation Prediction in Text-to-SQL. EMNLP/IJCNLP (1) 2019: 3513-3518 - [c1]Qian Liu, Bei Chen, Haoyan Liu, Jian-Guang Lou, Lei Fang, Bin Zhou, Dongmei Zhang:
A Split-and-Recombine Approach for Follow-up Query Analysis. EMNLP/IJCNLP (1) 2019: 5315-5325 - [i2]Qian Liu, Bei Chen, Jian-Guang Lou, Ge Jin, Dongmei Zhang:
FANDA: A Novel Approach to Perform Follow-up Query Analysis. CoRR abs/1901.08259 (2019) - [i1]Qian Liu, Bei Chen, Haoyan Liu, Lei Fang, Jian-Guang Lou, Bin Zhou, Dongmei Zhang:
A Split-and-Recombine Approach for Follow-up Query Analysis. CoRR abs/1909.08905 (2019)
Coauthor Index
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