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ORCIDACL 2024: Bangkok, Thailand
- Lun-Wei Ku, Andre Martins, Vivek Srikumar:
Findings of the Association for Computational Linguistics, ACL 2024, Bangkok, Thailand and virtual meeting, August 11-16, 2024. Association for Computational Linguistics 2014, ISBN 979-8-89176-099-8 - Frontmatter.
- Letian Peng, Yuwei Zhang, Jingbo Shang:
Controllable Data Augmentation for Few-Shot Text Mining with Chain-of-Thought Attribute Manipulation. 1-16 - Mingyang Song, Liping Jing, Yi Feng:
Match More, Extract Better! Hybrid Matching Model for Open Domain Web Keyphrase Extraction. 17-27 - Yijia Zhang, Sicheng Zhang, Shijie Cao, Dayou Du, Jianyu Wei, Ting Cao, Ningyi Xu:
AFPQ: Asymmetric Floating Point Quantization for LLMs. 28-36 - Xiaotong Jiang, Zhongqing Wang, Guodong Zhou:
End-to-End Emotion Semantic Parsing. 37-47 - Chen Chen, Ruizhe Li, Yuchen Hu, Yuanyuan Chen, Chengwei Qin, Qiang Zhang:
Overcoming Catastrophic Forgetting by Exemplar Selection in Task-oriented Dialogue System. 48-61 - Hyunsoo Cho:
Unveiling Imitation Learning: Exploring the impact of Data Falsity to Large Language Model. 62-73 - Alex Gu, Wen-Ding Li, Naman Jain, Theo Olausson, Celine Lee, Koushik Sen, Armando Solar-Lezama:
The Counterfeit Conundrum: Can Code Language Models Grasp the Nuances of Their Incorrect Generations? 74-117 - Chao-Chun Hsu, Erin Bransom, Jenna Sparks, Bailey Kuehl, Chenhao Tan, David Wadden, Lucy Lu Wang, Aakanksha Naik:
CHIME: LLM-Assisted Hierarchical Organization of Scientific Studies for Literature Review Support. 118-132 - Hao Li, Yuping Wu, Viktor Schlegel, Riza Batista-Navarro, Tharindu Madusanka, Iqra Zahid, Jiayan Zeng, Xiaochi Wang, Xinran He, Yizhi Li, Goran Nenadic:
Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluation. 133-150 - Tahira Naseem, Guangxuan Xu, Sarathkrishna Swaminathan, Asaf Yehudai, Subhajit Chaudhury, Radu Florian, Ramón Fernandez Astudillo, Asim Munawar:
A Grounded Preference Model for LLM Alignment. 151-162 - Bowen Jin, Chulin Xie, Jiawei Zhang, Kashob Kumar Roy, Yu Zhang, Zheng Li, Ruirui Li, Xianfeng Tang, Suhang Wang, Yu Meng, Jiawei Han:
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs. 163-184 - Yizhu Jiao, Sha Li, Sizhe Zhou, Heng Ji, Jiawei Han:
Text2DB: Integration-Aware Information Extraction with Large Language Model Agents. 185-205 - Zoey Liu, Nitin Venkateswaran, Éric Le Ferrand, Emily Prud'hommeaux:
How Important is a Language Model for Low-resource ASR? 206-213 - Vithursan Thangarasa, Mahmoud Salem, Shreyas Saxena, Chen-Yu Leong, Joel Hestness, Sean Lie:
MediSwift: Efficient Sparse Pre-trained Biomedical Language Models. 214-230 - Chengxu Zhuang, Evelina Fedorenko, Jacob Andreas:
Lexicon-Level Contrastive Visual-Grounding Improves Language Modeling. 231-247 - Shuo Yang, Chenchen Yuan, Yao Rong, Felix Steinbauer, Gjergji Kasneci:
P-TA: Using Proximal Policy Optimization to Enhance Tabular Data Augmentation via Large Language Models. 248-264 - Yuhang Zhou, Wei Ai:
Teaching-Assistant-in-the-Loop: Improving Knowledge Distillation from Imperfect Teacher Models in Low-Budget Scenarios. 265-282 - Canwen Xu, Yichong Xu, Shuohang Wang, Yang Liu, Chenguang Zhu, Julian J. McAuley:
Small Models are Valuable Plug-ins for Large Language Models. 283-294 - Andreas Madsen, Sarath Chandar, Siva Reddy:
Are self-explanations from Large Language Models faithful? 295-337 - Henry Peng Zou, Vinay Samuel, Yue Zhou, Weizhi Zhang, Liancheng Fang, Zihe Song, Philip S. Yu, Cornelia Caragea:
ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction. 338-354 - Qinyuan Ye, Mohamed Ahmed, Reid Pryzant, Fereshte Khani:
Prompt Engineering a Prompt Engineer. 355-385 - Sreyan Ghosh, Chandra Kiran Reddy Evuru, Sonal Kumar, Utkarsh Tyagi, S. Sakshi, Sanjoy Chowdhury, Dinesh Manocha:
ASPIRE: Language-Guided Data Augmentation for Improving Robustness Against Spurious Correlations. 386-406 - Naihao Deng, Zhenjie Sun, Ruiqi He, Aman Sikka, Yulong Chen, Lin Ma
, Yue Zhang, Rada Mihalcea:
Tables as Texts or Images: Evaluating the Table Reasoning Ability of LLMs and MLLMs. 407-426 - Brooklyn Sheppard, Anna Richter, Allison Cohen, Elizabeth Allyn Smith, Tamara Kneese, Carolyne Pelletier, Ioana Baldini, Yue Dong:
Biasly: An Expert-Annotated Dataset for Subtle Misogyny Detection and Mitigation. 427-452 - Parker Glenn, Parag Dakle, Liang Wang, Preethi Raghavan:
BlendSQL: A Scalable Dialect for Unifying Hybrid Question Answering in Relational Algebra. 453-466 - Zechun Liu, Barlas Oguz, Changsheng Zhao, Ernie Chang, Pierre Stock, Yashar Mehdad, Yangyang Shi, Raghuraman Krishnamoorthi, Vikas Chandra:
LLM-QAT: Data-Free Quantization Aware Training for Large Language Models. 467-484 - Haogeng Liu, Quanzeng You, Yiqi Wang, Xiaotian Han, Bohan Zhai, Yongfei Liu, Wentao Chen, Yiren Jian, Yunzhe Tao, Jianbo Yuan, Ran He, Hongxia Yang:
InfiMM: Advancing Multimodal Understanding with an Open-Sourced Visual Language Model. 485-492 - Xinze Li, Yixin Cao, Liangming Pan, Yubo Ma, Aixin Sun:
Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution. 493-516 - Ryan Koo, Minhwa Lee, Vipul Raheja, Jong Inn Park, Zae Myung Kim, Dongyeop Kang:
Benchmarking Cognitive Biases in Large Language Models as Evaluators. 517-545 - Chong Li, Wen Yang, Jiajun Zhang, Jinliang Lu, Shaonan Wang, Chengqing Zong:
X-Instruction: Aligning Language Model in Low-resource Languages with Self-curated Cross-lingual Instructions. 546-566 - Jiashuo Wang, Chunpu Xu, Chak Tou Leong, Wenjie Li, Jing Li:
Muffin: Mitigating Unhelpfulness in Emotional Support Conversations with Multifaceted AI Feedback. 567-585 - Suyuchen Wang, Ivan Kobyzev, Peng Lu, Mehdi Rezagholizadeh, Bang Liu:
Resonance RoPE: Improving Context Length Generalization of Large Language Models. 586-598 - Xiangru Tang, Anni Zou, Zhuosheng Zhang, Ziming Li, Yilun Zhao, Xingyao Zhang, Arman Cohan, Mark Gerstein:
MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning. 599-621 - Yiming Wang, Zhuosheng Zhang, Pei Zhang, Baosong Yang, Rui Wang:
Meta-Reasoning: Semantics-Symbol Deconstruction for Large Language Models. 622-643 - Baohang Zhou, Zezhong Wang, Lingzhi Wang, Hongru Wang, Ying Zhang, Kehui Song, Xuhui Sui, Kam-Fai Wong:
DPDLLM: A Black-box Framework for Detecting Pre-training Data from Large Language Models. 644-653 - Tianci Xue, Ziqi Wang, Yixia Li, Yun Chen, Guanhua Chen:
PACIT: Unlocking the Power of Examples for Better In-Context Instruction Tuning. 654-665 - Yuchen Hu, Chen Chen, Chengwei Qin, Qiushi Zhu, EngSiong Chng, Ruizhe Li:
Listen Again and Choose the Right Answer: A New Paradigm for Automatic Speech Recognition with Large Language Models. 666-679 - Hao Yue, Shaopeng Lai, Chengyi Yang, Liang Zhang, Junfeng Yao, Jinsong Su:
Towards Better Graph-based Cross-document Relation Extraction via Non-bridge Entity Enhancement and Prediction Debiasing. 680-691 - Young-Jun Lee, Dokyong Lee, Joo-Won Sung, Jonghwan Hyeon, Ho-Jin Choi:
Large Language Models can Share Images, Too! 692-713 - Daoguang Zan, Ailun Yu, Wei Liu, Bo Shen, Shaoxin Lin, Yongshun Gong, Yafen Yao, Yan Liu, Bei Guan, Weihua Luo, Yongji Wang, Qianxiang Wang, Lizhen Cui:
CodeM: Less Data Yields More Versatility via Ability Matrix. 714-729 - Kung-Hsiang Huang, Mingyang Zhou, Hou Pong Chan, Yi Fung, Zhenhailong Wang, Lingyu Zhang, Shih-Fu Chang, Heng Ji:
Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning. 730-749 - Jiajie Jin, Yutao Zhu, Yujia Zhou, Zhicheng Dou:
BIDER: Bridging Knowledge Inconsistency for Efficient Retrieval-Augmented LLMs via Key Supporting Evidence. 750-761 - Wenxuan Wang, Yisi Zhang, Xingjian He, Yichen Yan, Zijia Zhao, Xinlong Wang, Jing Liu:
Beyond Literal Descriptions: Understanding and Locating Open-World Objects Aligned with Human Intentions. 762-776 - Shengjie Qiu, Junhao Zheng, Zhen Liu, Yicheng Luo, Qianli Ma:
Incremental Sequence Labeling: A Tale of Two Shifts. 777-791 - Jinxin Liu, Shulin Cao, Jiaxin Shi, Tingjian Zhang, Lunyiu Nie, Linmei Hu, Lei Hou, Juanzi Li:
How Proficient Are Large Language Models in Formal Languages? An In-Depth Insight for Knowledge Base Question Answering. 792-815 - Xuhui Sui, Ying Zhang, Yu Zhao, Kehui Song, Baohang Zhou, Xiaojie Yuan:
MELOV: Multimodal Entity Linking with Optimized Visual Features in Latent Space. 816-826 - Fanyi Qu, Hao Sun, Yunfang Wu:
Unsupervised Distractor Generation via Large Language Model Distilling and Counterfactual Contrastive Decoding. 827-838 - Lihui Liu, Blaine Hill, Boxin Du, Fei Wang, Hanghang Tong:
Conversational Question Answering with Language Models Generated Reformulations over Knowledge Graph. 839-850 - Li Zhong, Zilong Wang, Jingbo Shang:
Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step by Step. 851-870 - Zhongxiang Sun, Kepu Zhang, Haoyu Wang, Xiao Zhang, Jun Xu:
Effective In-Context Example Selection through Data Compression. 871-877 - Yang Chen, Chong Yang, Tu Hu, Xinhao Chen, Man Lan, Li Cai, Xinlin Zhuang, Xuan Lin, Xin Lu, Aimin Zhou:
Are U a Joke Master? Pun Generation via Multi-Stage Curriculum Learning towards a Humor LLM. 878-890 - Yichi Zhang, Zhuo Chen, Yin Fang, Yanxi Lu, Fangming Li, Wen Zhang, Huajun Chen:
Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering. 891-904 - Minpeng Liao, Chengxi Li, Wei Luo, Jing Wu, Kai Fan:
MARIO: MAth Reasoning with code Interpreter Output - A Reproducible Pipeline. 905-924 - Le Cheng, Shuangyin Li:
DiffusPoll: Conditional Text Diffusion Model for Poll Generation. 925-935 - Haolong Li, Yu Ma, Yinqi Zhang, Chen Ye, Jie Chen:
Exploring Mathematical Extrapolation of Large Language Models with Synthetic Data. 936-946 - Hankun Kang, Tieyun Qian:
Implanting LLM's Knowledge via Reading Comprehension Tree for Toxicity Detection. 947-962 - Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Menglin Xia, Xufang Luo, Jue Zhang, Qingwei Lin, Victor Rühle, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Dongmei Zhang:
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression. 963-981 - Yue Guo, Yi Yang:
EconNLI: Evaluating Large Language Models on Economics Reasoning. 982-994 - Songda Li, Yunqi Zhang, Chunyuan Deng, Yake Niu, Hui Zhao:
Better Late Than Never: Model-Agnostic Hallucination Post-Processing Framework Towards Clinical Text Summarization. 995-1011 - Haowen Pan, Yixin Cao, Xiaozhi Wang, Xun Yang, Meng Wang:
Finding and Editing Multi-Modal Neurons in Pre-Trained Transformers. 1012-1037 - Tinh Luong, Thanh-Thien Le, Linh Ngo, Thien Nguyen:
Realistic Evaluation of Toxicity in Large Language Models. 1038-1047 - Hanqing Zhang, Si Sun, Haiming Wu, Dawei Song:
Controllable Text Generation with Residual Memory Transformer. 1048-1066 - Renlong Jie, Xiaojun Meng, Lifeng Shang, Xin Jiang, Qun Liu:
Prompt-Based Length Controlled Generation with Multiple Control Types. 1067-1085 - Liang Chen, Yichi Zhang, Shuhuai Ren, Haozhe Zhao, Zefan Cai, Yuchi Wang, Peiyi Wang, Xiangdi Meng, Tianyu Liu, Baobao Chang:
PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain. 1086-1104 - Minjin Kim, Minju Kim, Hana Kim, Beong-woo Kwak, SeongKu Kang, Youngjae Yu, Jinyoung Yeo, Dongha Lee:
Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Dataset. 1105-1120 - Byung-Kwan Lee, Beomchan Park, Chae Won Kim, Yong Man Ro:
CoLLaVO: Crayon Large Language and Vision mOdel. 1121-1138 - Wen Wu, Wenlin Chen, Chao Zhang, Philip C. Woodland:
Modelling Variability in Human Annotator Simulation. 1139-1157 - Sheikh Shafayat, H. M. Quamran Hasan, Minhajur Rahman Chowdhury Mahim, Rifki Afina Putri, James Thorne, Alice Oh:
BEnQA: A Question Answering Benchmark for Bengali and English. 1158-1177 - Wanqing Cui, Keping Bi, Jiafeng Guo, Xueqi Cheng:
MORE: Multi-mOdal REtrieval Augmented Generative Commonsense Reasoning. 1178-1192 - Zhuoran Jin, Pengfei Cao, Hongbang Yuan, Yubo Chen, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Kang Liu, Jun Zhao:
Cutting Off the Head Ends the Conflict: A Mechanism for Interpreting and Mitigating Knowledge Conflicts in Language Models. 1193-1215 - Qizhi Pei, Lijun Wu, Kaiyuan Gao, Xiaozhuan Liang, Yin Fang, Jinhua Zhu, Shufang Xie, Tao Qin, Rui Yan:
BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning. 1216-1240 - Zhihao Wen, Jie Zhang, Yuan Fang:
SIBO: A Simple Booster for Parameter-Efficient Fine-Tuning. 1241-1257 - Jiaxin Zhang, Zhongzhi Li, Ming-Liang Zhang, Fei Yin, Cheng-Lin Liu, Yashar Moshfeghi:
GeoEval: Benchmark for Evaluating LLMs and Multi-Modal Models on Geometry Problem-Solving. 1258-1276 - Jiahao Wang, Wenjun Ke, Peng Wang, Hang Zhang, Dong Nie, Jiajun Liu, Guozheng Li, Ziyu Shang:
Boosting Textural NER with Synthetic Image and Instructive Alignment. 1277-1287 - Elena Voita, Javier Ferrando, Christoforos Nalmpantis:
Neurons in Large Language Models: Dead, N-gram, Positional. 1288-1301 - Jinyuan Li, Han Li, Di Sun, Jiahao Wang, Wenkun Zhang, Zan Wang, Gang Pan:
LLMs as Bridges: Reformulating Grounded Multimodal Named Entity Recognition. 1302-1318 - Napat Laosaengpha, Thanit Tativannarat, Chawan Piansaddhayanon, Attapol Rutherford, Ekapol Chuangsuwanich:
Learning Job Title Representation from Job Description Aggregation Network. 1319-1329 - Shubhankar Singh, Purvi Chaurasia, Yerram Varun, Pranshu Pandya, Vatsal Gupta, Vivek Gupta, Dan Roth:
FlowVQA: Mapping Multimodal Logic in Visual Question Answering with Flowcharts. 1330-1350 - Yahan Yu, Duzhen Zhang, Xiuyi Chen, Chenhui Chu:
Flexible Weight Tuning and Weight Fusion Strategies for Continual Named Entity Recognition. 1351-1358 - Yiming Chen, Chen Zhang, Danqing Luo, Luis Fernando D'Haro, Robby T. Tan, Haizhou Li:
Unveiling the Achilles' Heel of NLG Evaluators: A Unified Adversarial Framework Driven by Large Language Models. 1359-1375 - Adian Liusie, Yassir Fathullah, Mark J. F. Gales:
Teacher-Student Training for Debiasing: General Permutation Debiasing for Large Language Models. 1376-1387 - Chaoxu Pang, Yixuan Cao, Chunhao Yang, Ping Luo:
Uncovering Limitations of Large Language Models in Information Seeking from Tables. 1388-1409 - Shen Zhou, Yongqi Li, Xin Miao, Tieyun Qian:
An Ensemble-of-Experts Framework for Rehearsal-free Continual Relation Extraction. 1410-1423 - Georg Wenzel, Adam Jatowt:
Temporal Validity Change Prediction. 1424-1446 - Saeed Najafi, Alona Fyshe:
RIFF: Learning to Rephrase Inputs for Few-shot Fine-tuning of Language Models. 1447-1466 - Hanane Kteich, Na Li, Usashi Chatterjee, Zied Bouraoui, Steven Schockaert:
Modelling Commonsense Commonalities with Multi-Facet Concept Embeddings. 1467-1480 - Thomas Bonnier:
Revisiting Multimodal Transformers for Tabular Data with Text Fields. 1481-1500 - Jayanta Sadhu, Ayan Antik Khan, Abhik Bhattacharjee, Rifat Shahriyar:
An Empirical Study on the Characteristics of Bias upon Context Length Variation for Bangla. 1501-1520 - Jingcheng Niu, Saifei Liao, Victoria Ng, Simon de Montigny, Gerald Penn:
ConTempo: A Unified Temporally Contrastive Framework for Temporal Relation Extraction. 1521-1533 - Abbas Ghaddar, David Alfonso-Hermelo, Philippe Langlais, Mehdi Rezagholizadeh, Boxing Chen, Prasanna Parthasarathi:
CHARP: Conversation History AwaReness Probing for Knowledge-grounded Dialogue Systems. 1534-1551 - Zicheng Lin, Zhibin Gou, Tian Liang, Ruilin Luo, Haowei Liu, Yujiu Yang:
CriticBench: Benchmarking LLMs for Critique-Correct Reasoning. 1552-1587 - Taolin Zhang, Qizhou Chen, Dongyang Li, Chengyu Wang, Xiaofeng He, Longtao Huang, Hui Xue', Jun Huang:
DAFNet: Dynamic Auxiliary Fusion for Sequential Model Editing in Large Language Models. 1588-1602 - Ashok Urlana, Pruthwik Mishra, Tathagato Roy, Rahul Mishra:
Controllable Text Summarization: Unraveling Challenges, Approaches, and Prospects - A Survey. 1603-1623 - Hengguan Huang, Songtao Wang, Hongfu Liu, Hao Wang, Ye Wang:
Benchmarking Large Language Models on Communicative Medical Coaching: A Dataset and a Novel System. 1624-1637 - Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Wei Zhang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation. 1638-1662 - Heidi C. Zhang, Sina J. Semnani, Farhad Ghassemi, Jialiang Xu, Shicheng Liu, Monica S. Lam:
SPAGHETTI: Open-Domain Question Answering from Heterogeneous Data Sources with Retrieval and Semantic Parsing. 1663-1678 - Bosheng Ding, Chengwei Qin, Ruochen Zhao, Tianze Luo, Xinze Li, Guizhen Chen, Wenhan Xia, Junjie Hu, Anh Tuan Luu, Shafiq Joty:
Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and Challenges. 1679-1705 - Abe Bohan Hou, Jingyu Zhang, Yichen Wang, Daniel Khashabi, Tianxing He:
k-SemStamp: A Clustering-Based Semantic Watermark for Detection of Machine-Generated Text. 1706-1715 - Jirayu Burapacheep, Ishan Gaur, Agam Bhatia, Tristan Thrush:
ColorSwap: A Color and Word Order Dataset for Multimodal Evaluation. 1716-1726 - Tuo Zhang, Jinyue Yuan, Salman Avestimehr:
Revisiting OPRO: The Limitations of Small-Scale LLMs as Optimizers. 1727-1735 - Divya Jyoti Bajpai, Manjesh K. Hanawal:
CeeBERT: Cross-Domain Inference in Early Exit BERT. 1736-1748 - Souvik Das, Rohini K. Srihari:
UNIWIZ: A Unified Large Language Model Orchestrated Wizard for Safe Knowledge Grounded Conversations. 1749-1762 - Brian Thompson, Mehak Preet Dhaliwal, Peter Frisch, Tobias Domhan, Marcello Federico:
A Shocking Amount of the Web is Machine Translated: Insights from Multi-Way Parallelism. 1763-1775 - Gabriel Perin, Xuxi Chen, Shusen Liu, Bhavya Kailkhura, Zhangyang Wang, Brian Gallagher:
RankMean: Module-Level Importance Score for Merging Fine-tuned LLM Models. 1776-1782 - Haoyi Qiu, Wenbo Hu, Zi-Yi Dou, Nanyun Peng:
VALOR-EVAL: Holistic Coverage and Faithfulness Evaluation of Large Vision-Language Models. 1783-1805 - Xuxin Cheng, Zhihong Zhu, Bang Yang, Xianwei Zhuang, Hongxiang Li, Yuexian Zou:
Cyclical Contrastive Learning Based on Geodesic for Zero-shot Cross-lingual Spoken Language Understanding. 1806-1816 - Zheyuan Liu, Guangyao Dou, Zhaoxuan Tan, Yijun Tian, Meng Jiang:
Towards Safer Large Language Models through Machine Unlearning. 1817-1829 - Mingyu Jin, Qinkai Yu, Dong Shu, Haiyan Zhao, Wenyue Hua, Yanda Meng, Yongfeng Zhang, Mengnan Du:
The Impact of Reasoning Step Length on Large Language Models. 1830-1842 - Guangliang Liu, Milad Afshari, Xitong Zhang, Zhiyu Xue, Avrajit Ghosh, Bidhan Bashyal, Rongrong Wang, Kristen Johnson:
Towards Understanding Task-agnostic Debiasing Through the Lenses of Intrinsic Bias and Forgetfulness. 1843-1856 - Qiqi Wang, Ruofan Wang, Kaiqi Zhao, Robert Amor, Benjamin Liu, Jiamou Liu, Xianda Zheng, Zijian Huang:
SKGSum: Structured Knowledge-Guided Document Summarization. 1857-1871