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ORCIDYixin Liu 0003
Person information
- affiliation: Yale University, Department of Computer Science, New Haven, CT, USA
- affiliation: Carnegie Mellon University, PA, USA
Other persons with the same name
- Yixin Liu — disambiguation page
- Yixin Liu 0001
![[0000-0002-4309-5076]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-4309-5076")
— Monash University, Clayton, VIC, Australia - Yixin Liu 0002 — Lehigh University, Department of Computer Science, Bethlehem, PA, USA
- Yixin Liu 0004 — Tianjin University, Key Laboratory of Smart Grid of Ministry of Education, China
- Yixin Liu 0005 — Harbin Medical University, Modern Education Technology Center, Basic Medicine College, China
- Yixin Liu 0006 — Tsinghua University, singhua Shenzhen International Graduate School, China
- Yixin Liu 0007 — Stanford University, CA, USA
- Yixin Liu 0008 — Michigan Technological University, Department of Chemical Engineering, Houghton, MI, USA (and 1 more)
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Conference and Workshop Papers
- 2024
[c20]Rilyn Han, Jiawen Chen, Yixin Liu, Arman Cohan:
Rethinking Efficient Multilingual Text Summarization Meta-Evaluation. ACL (Findings) 2024: 15739-15746- [c19]Yilun Zhao, Yitao Long, Hongjun Liu, Ryo Kamoi, Linyong Nan, Lyuhao Chen, Yixin Liu, Xiangru Tang, Rui Zhang, Arman Cohan:
DocMath-Eval: Evaluating Math Reasoning Capabilities of LLMs in Understanding Financial Documents. ACL (1) 2024: 16103-16120 - [c18]Marcel Nawrath, Agnieszka Nowak, Tristan Ratz, Danilo C. Walenta, Juri Opitz, Leonardo F. R. Ribeiro, João Sedoc, Daniel Deutsch, Simon Mille, Yixin Liu, Sebastian Gehrmann, Lining Zhang, Saad Mahamood, Miruna Clinciu, Khyathi Raghavi Chandu, Yufang Hou:
On the Role of Summary Content Units in Text Summarization Evaluation. NAACL (Short Papers) 2024: 272-281 - [c17]Yusen Zhang, Nan Zhang, Yixin Liu, Alexander R. Fabbri, Junru Liu, Ryo Kamoi, Xiaoxin Lu, Caiming Xiong, Jieyu Zhao, Dragomir Radev, Kathleen R. McKeown, Rui Zhang:
Fair Abstractive Summarization of Diverse Perspectives. NAACL-HLT 2024: 3404-3426 - [c16]Yixin Liu, Alexander R. Fabbri, Jiawen Chen, Yilun Zhao, Simeng Han, Shafiq Joty, Pengfei Liu, Dragomir Radev, Chien-Sheng Wu, Arman Cohan:
Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization. NAACL-HLT (Findings) 2024: 4481-4501 - [c15]Yixin Liu, Kejian Shi, Katherine He, Longtian Ye, Alexander R. Fabbri, Pengfei Liu, Dragomir Radev, Arman Cohan:
On Learning to Summarize with Large Language Models as References. NAACL-HLT 2024: 8647-8664 - 2023
- [c14]Yixin Liu, Alexander R. Fabbri, Pengfei Liu, Yilun Zhao, Linyong Nan, Ruilin Han, Simeng Han, Shafiq Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev:
Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation. ACL (1) 2023: 4140-4170 - [c13]Lining Zhang, Simon Mille, Yufang Hou, Daniel Deutsch, Elizabeth Clark, Yixin Liu, Saad Mahamood, Sebastian Gehrmann, Miruna Clinciu, Khyathi Raghavi Chandu, João Sedoc:
A Needle in a Haystack: An Analysis of High-Agreement Workers on MTurk for Summarization. ACL (1) 2023: 14944-14982 - [c12]Yixin Liu, Budhaditya Deb, Milagro Teruel, Aaron Halfaker, Dragomir Radev, Ahmed Hassan Awadallah:
On Improving Summarization Factual Consistency from Natural Language Feedback. ACL (1) 2023: 15144-15161 - [c11]Yilun Zhao, Zhenting Qi, Linyong Nan, Boyu Mi, Yixin Liu, Weijin Zou, Simeng Han, Ruizhe Chen, Xiangru Tang, Yumo Xu, Dragomir Radev, Arman Cohan:
QTSumm: Query-Focused Summarization over Tabular Data. EMNLP 2023: 1157-1172 - [c10]Yixin Liu, Alexander R. Fabbri, Yilun Zhao, Pengfei Liu, Shafiq Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev:
Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation. EMNLP 2023: 16360-16368 - 2022
- [c9]Yang Xiao, Jinlan Fu, Weizhe Yuan, Vijay Viswanathan, Zhoumianze Liu, Yixin Liu, Graham Neubig, Pengfei Liu:
DataLab: A Platform for Data Analysis and Intervention. ACL (demo) 2022: 182-195 - [c8]Yixin Liu, Pengfei Liu, Dragomir R. Radev, Graham Neubig:
BRIO: Bringing Order to Abstractive Summarization. ACL (1) 2022: 2890-2903 - [c7]Yixin Liu, Ansong Ni, Linyong Nan, Budhaditya Deb, Chenguang Zhu, Ahmed Hassan Awadallah, Dragomir Radev:
Leveraging Locality in Abstractive Text Summarization. EMNLP 2022: 6081-6093 - [c6]Linyong Nan, Lorenzo Jaime Yu Flores, Yilun Zhao, Yixin Liu, Luke Benson, Weijin Zou, Dragomir Radev:
R2D2: Robust Data-to-Text with Replacement Detection. EMNLP 2022: 6903-6917 - [c5]Irene Li, Alexander R. Fabbri, Rina Kawamura, Yixin Liu, Xiangru Tang, Jaesung Tae, Chang Shen, Sally Ma, Tomoe Mizutani, Dragomir Radev:
Surfer100: Generating Surveys From Web Resources, Wikipedia-style. LREC 2022: 5388-5392 - 2021
- [c4]Pengfei Liu, Jinlan Fu, Yang Xiao, Weizhe Yuan, Shuaichen Chang, Junqi Dai, Yixin Liu, Zihuiwen Ye, Graham Neubig:
ExplainaBoard: An Explainable Leaderboard for NLP. ACL (demo) 2021: 280-289 - [c3]Yixin Liu, Pengfei Liu:
SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization. ACL/IJCNLP (2) 2021: 1065-1072 - [c2]Yixin Liu, Zi-Yi Dou, Pengfei Liu:
RefSum: Refactoring Neural Summarization. NAACL-HLT 2021: 1437-1448 - [c1]Yixin Liu, Graham Neubig, John Wieting:
On Learning Text Style Transfer with Direct Rewards. NAACL-HLT 2021: 4262-4273
Informal and Other Publications
- 2024
- [i26]Yukun Huang, Yixin Liu, Raghuveer Thirukovalluru, Arman Cohan, Bhuwan Dhingra:
Calibrating Long-form Generations from Large Language Models. CoRR abs/2402.06544 (2024) - [i25]Marcel Nawrath, Agnieszka Nowak, Tristan Ratz, Danilo C. Walenta, Juri Opitz, Leonardo F. R. Ribeiro, João Sedoc, Daniel Deutsch, Simon Mille, Yixin Liu, Lining Zhang, Sebastian Gehrmann, Saad Mahamood, Miruna Clinciu, Khyathi Raghavi Chandu, Yufang Hou:
On the Role of Summary Content Units in Text Summarization Evaluation. CoRR abs/2404.01701 (2024) - [i24]Shijie Xia, Xuefeng Li, Yixin Liu, Tongshuang Wu, Pengfei Liu:
Evaluating Mathematical Reasoning Beyond Accuracy. CoRR abs/2404.05692 (2024) - [i23]Yixin Liu, Pengfei Liu, Arman Cohan:
Understanding Reference Policies in Direct Preference Optimization. CoRR abs/2407.13709 (2024) - 2023
- [i22]Yixin Liu, Alexander R. Fabbri, Yilun Zhao, Pengfei Liu, Shafiq R. Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev:
Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation. CoRR abs/2303.03608 (2023) - [i21]Yixin Liu, Alexander R. Fabbri, Pengfei Liu, Dragomir Radev, Arman Cohan:
On Learning to Summarize with Large Language Models as References. CoRR abs/2305.14239 (2023) - [i20]Yilun Zhao, Zhenting Qi, Linyong Nan, Boyu Mi, Yixin Liu, Weijin Zou, Simeng Han, Xiangru Tang, Yumo Xu, Arman Cohan, Dragomir Radev:
QTSumm: A New Benchmark for Query-Focused Table Summarization. CoRR abs/2305.14303 (2023) - [i19]Yijie Zhou, Kejian Shi, Wencai Zhang, Yixin Liu, Yilun Zhao, Arman Cohan:
ODSum: New Benchmarks for Open Domain Multi-Document Summarization. CoRR abs/2309.08960 (2023) - [i18]Yusen Zhang, Nan Zhang, Yixin Liu, Alexander R. Fabbri, Junru Liu, Ryo Kamoi, Xiaoxin Lu, Caiming Xiong, Jieyu Zhao, Dragomir Radev, Kathleen R. McKeown, Rui Zhang:
Fair Abstractive Summarization of Diverse Perspectives. CoRR abs/2311.07884 (2023) - [i17]Yixin Liu, Alexander R. Fabbri, Jiawen Chen, Yilun Zhao, Simeng Han, Shafiq Joty, Pengfei Liu, Dragomir Radev, Chien-Sheng Wu, Arman Cohan:
Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization. CoRR abs/2311.09184 (2023) - [i16]Yilun Zhao, Yitao Long, Hongjun Liu, Linyong Nan, Lyuhao Chen, Ryo Kamoi, Yixin Liu, Xiangru Tang, Rui Zhang, Arman Cohan:
DocMath-Eval: Evaluating Numerical Reasoning Capabilities of LLMs in Understanding Long Documents with Tabular Data. CoRR abs/2311.09805 (2023) - 2022
- [i15]Yang Xiao, Jinlan Fu, Weizhe Yuan, Vijay Viswanathan, Zhoumianze Liu, Yixin Liu, Graham Neubig, Pengfei Liu:
DataLab: A Platform for Data Analysis and Intervention. CoRR abs/2202.12875 (2022) - [i14]Yixin Liu, Pengfei Liu, Dragomir R. Radev, Graham Neubig:
BRIO: Bringing Order to Abstractive Summarization. CoRR abs/2203.16804 (2022) - [i13]Linyong Nan, Lorenzo Jaime Yu Flores, Yilun Zhao, Yixin Liu, Luke Benson, Weijin Zou, Dragomir R. Radev:
R2D2: Robust Data-to-Text with Replacement Detection. CoRR abs/2205.12467 (2022) - [i12]Yixin Liu, Ansong Ni, Linyong Nan, Budhaditya Deb, Chenguang Zhu, Ahmed Hassan Awadallah, Dragomir R. Radev:
Leveraging Locality in Abstractive Text Summarization. CoRR abs/2205.12476 (2022) - [i11]Sebastian Gehrmann, Abhik Bhattacharjee, Abinaya Mahendiran, Alex Wang, Alexandros Papangelis, Aman Madaan, Angelina McMillan-Major, Anna Shvets, Ashish Upadhyay, Bingsheng Yao, Bryan Wilie, Chandra Bhagavatula, Chaobin You, Craig Thomson, Cristina Garbacea, Dakuo Wang, Daniel Deutsch, Deyi Xiong, Di Jin, Dimitra Gkatzia, Dragomir R. Radev, Elizabeth Clark, Esin Durmus, Faisal Ladhak, Filip Ginter, Genta Indra Winata, Hendrik Strobelt, Hiroaki Hayashi, Jekaterina Novikova, Jenna Kanerva, Jenny Chim, Jiawei Zhou, Jordan Clive, Joshua Maynez, João Sedoc, Juraj Juraska, Kaustubh D. Dhole, Khyathi Raghavi Chandu, Laura Perez-Beltrachini, Leonardo F. R. Ribeiro, Lewis Tunstall, Li Zhang, Mahima Pushkarna, Mathias Creutz, Michael White, Mihir Sanjay Kale, Moussa Kamal Eddine, Nico Daheim, Nishant Subramani, Ondrej Dusek, Paul Pu Liang, Pawan Sasanka Ammanamanchi, Qi Zhu, Ratish Puduppully, Reno Kriz, Rifat Shahriyar, Ronald Cardenas, Saad Mahamood, Salomey Osei, Samuel Cahyawijaya, Sanja Stajner, Sébastien Montella, Shailza Jolly, Simon Mille, Tahmid Hasan, Tianhao Shen, Tosin P. AMahidewumi, Vikas Raunak, Vipul Raheja, Vitaly Nikolaev, Vivian Tsai, Yacine Jernite, Ying Xu, Yisi Sang, Yixin Liu, Yufang Hou:
GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. CoRR abs/2206.11249 (2022) - [i10]Simeng Han, Hailey Schoelkopf, Yilun Zhao, Zhenting Qi, Martin Riddell, Luke Benson, Lucy Sun, Ekaterina Zubova, Yujie Qiao, Matthew Burtell, David Peng, Jonathan Fan, Yixin Liu, Brian Wong, Malcolm Sailor, Ansong Ni, Linyong Nan, Jungo Kasai, Tao Yu, Rui Zhang, Shafiq R. Joty, Alexander R. Fabbri, Wojciech Kryscinski, Xi Victoria Lin, Caiming Xiong, Dragomir Radev:
FOLIO: Natural Language Reasoning with First-Order Logic. CoRR abs/2209.00840 (2022) - [i9]Yixin Liu, Alexander R. Fabbri, Pengfei Liu, Yilun Zhao, Linyong Nan, Ruilin Han, Simeng Han, Shafiq R. Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev:
Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation. CoRR abs/2212.07981 (2022) - [i8]Yixin Liu, Budhaditya Deb, Milagro Teruel, Aaron Halfaker, Dragomir Radev, Ahmed Hassan Awadallah:
On Improving Summarization Factual Consistency from Natural Language Feedback. CoRR abs/2212.09968 (2022) - [i7]Lining Zhang, João Sedoc, Simon Mille, Yufang Hou, Sebastian Gehrmann, Daniel Deutsch, Elizabeth Clark, Yixin Liu, Miruna Clinciu, Saad Mahamood, Khyathi Raghavi Chandu:
Needle in a Haystack: An Analysis of Finding Qualified Workers on MTurk for Summarization. CoRR abs/2212.10397 (2022) - 2021
- [i6]Pengfei Liu, Jinlan Fu, Yang Xiao, Weizhe Yuan, Shuaichen Chang, Junqi Dai, Yixin Liu, Zihuiwen Ye, Graham Neubig:
EXPLAINABOARD: An Explainable Leaderboard for NLP. CoRR abs/2104.06387 (2021) - [i5]Yixin Liu, Zi-Yi Dou, Pengfei Liu:
RefSum: Refactoring Neural Summarization. CoRR abs/2104.07210 (2021) - [i4]Yixin Liu, Pengfei Liu:
SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization. CoRR abs/2106.01890 (2021) - [i3]Irene Li, Alexander R. Fabbri, Rina Kawamura, Yixin Liu, Xiangru Tang, Jaesung Tae, Chang Shen, Sally Ma, Tomoe Mizutani, Dragomir R. Radev:
Surfer100: Generating Surveys From Web Resources on Wikipedia-style. CoRR abs/2112.06377 (2021) - [i2]Swapnil Hingmire, Irene Li, Rena Kawamura, Benjamin Chen, Alexander R. Fabbri, Xiangru Tang, Yixin Liu, Thomas George, Tammy Liao, Wai Pan Wong, Vanessa Yan, Richard Zhou, Girish K. Palshikar, Dragomir R. Radev:
CLICKER: A Computational LInguistics Classification Scheme for Educational Resources. CoRR abs/2112.08578 (2021) - 2020
- [i1]Yixin Liu, Graham Neubig, John Wieting:
On Learning Text Style Transfer with Direct Rewards. CoRR abs/2010.12771 (2020)
Coauthor Index
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