Bill Yuchen Lin

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 96

Top Topics

Natural Language

Neural Architecture

Top Venues

Publications

Da Yin, Faeze Brahman, Abhilasha Ravichander, Khyathi Raghavi Chandu, Kai-Wei Chang, Yejin Choi, Bill Yuchen Lin
Agent Lumos: Unified and Modular Training for Open-Source Language Agents. ACL (1) (2024)
Bill Yuchen Lin, Yuntian Deng, Khyathi Raghavi Chandu, Faeze Brahman, Abhilasha Ravichander, Valentina Pyatkin, Nouha Dziri, Ronan Le Bras, Yejin Choi
WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild. CoRR (2024)
Yujie Lu, Dongfu Jiang, Wenhu Chen, William Yang Wang, Yejin Choi, Bill Yuchen Lin
WildVision: Evaluating Vision-Language Models in the Wild with Human Preferences. CoRR (2024)
Seungone Kim, Juyoung Suk, Shayne Longpre, Bill Yuchen Lin, Jamin Shin, Sean Welleck, Graham Neubig, Moontae Lee, Kyungjae Lee, Minjoon Seo
Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models. CoRR (2024)
Yifan Song, Guoyin Wang, Sujian Li, Bill Yuchen Lin
The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism. CoRR (2024)
Zilong Wang, Yuedong Cui, Li Zhong, Zimin Zhang, Da Yin, Bill Yuchen Lin, Jingbo Shang
OfficeBench: Benchmarking Language Agents across Multiple Applications for Office Automation. CoRR (2024)
Seungone Kim, Juyoung Suk, Ji Yong Cho, Shayne Longpre, Chaeeun Kim, Dongkeun Yoon, Guijin Son, Yejin Choi, Sheikh Shafayat, Jinheon Baek, Sue Hyun Park, Hyeonbin Hwang, Jinkyung Jo, Hyowon Cho, Haebin Shin, Seongyun Lee, Hanseok Oh, Noah Lee, Namgyu Ho, Se June Joo, Miyoung Ko, Yoonjoo Lee, Hyungjoo Chae, Jamin Shin, Joel Jang, Seonghyeon Ye, Bill Yuchen Lin, Sean Welleck, Graham Neubig, Moontae Lee, Kyungjae Lee, Minjoon Seo
The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models. CoRR (2024)
Fengqing Jiang, Zhangchen Xu, Luyao Niu, Bill Yuchen Lin, Radha Poovendran
ChatBug: A Common Vulnerability of Aligned LLMs Induced by Chat Templates. CoRR (2024)
Nathan Lambert, Valentina Pyatkin, Jacob Morrison, LJ Miranda, Bill Yuchen Lin, Khyathi Raghavi Chandu, Nouha Dziri, Sachin Kumar, Tom Zick, Yejin Choi, Noah A. Smith, Hannaneh Hajishirzi
RewardBench: Evaluating Reward Models for Language Modeling. CoRR (2024)
Tejas Srinivasan, Jack Hessel, Tanmay Gupta, Bill Yuchen Lin, Yejin Choi, Jesse Thomason, Khyathi Raghavi Chandu
Selective "Selective Prediction": Reducing Unnecessary Abstention in Vision-Language Reasoning. CoRR (2024)
Yifan Song, Da Yin, Xiang Yue, Jie Huang, Sujian Li, Bill Yuchen Lin
Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents. ACL (1) (2024)
Yutaro Yamada, Khyathi Chandu, Bill Yuchen Lin, Jack Hessel, Ilker Yildirim, Yejin Choi
L3GO: Language Agents with Chain-of-3D-Thoughts for Generating Unconventional Objects. CoRR (2024)
Zhangchen Xu, Fengqing Jiang, Luyao Niu, Jinyuan Jia, Bill Yuchen Lin, Radha Poovendran
SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding. ACL (1) (2024)
Tianyu Zheng, Ge Zhang, Tianhao Shen, Xueling Liu, Bill Yuchen Lin, Jie Fu, Wenhu Chen, Xiang Yue
OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement. CoRR (2024)
Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, Nouha Dziri, Melanie Sclar, Khyathi Raghavi Chandu, Chandra Bhagavatula, Yejin Choi
The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning. ICLR (2024)
Dongfu Jiang, Yishan Li, Ge Zhang, Wenhao Huang, Bill Yuchen Lin, Wenhu Chen
TIGERScore: Towards Building Explainable Metric for All Text Generation Tasks. Trans. Mach. Learn. Res. 2024 (2024)
Yifan Song, Da Yin, Xiang Yue, Jie Huang, Sujian Li, Bill Yuchen Lin
Trial and Error: Exploration-Based Trajectory Optimization for LLM Agents. CoRR (2024)
Tianyu Zheng, Ge Zhang, Tianhao Shen, Xueling Liu, Bill Yuchen Lin, Jie Fu, Wenhu Chen, Xiang Yue
OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement. ACL (Findings) (2024)
Seungju Han, Kavel Rao, Allyson Ettinger, Liwei Jiang, Bill Yuchen Lin, Nathan Lambert, Yejin Choi, Nouha Dziri
WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs. CoRR (2024)
Junpeng Liu, Yifan Song, Bill Yuchen Lin, Wai Lam, Graham Neubig, Yuanzhi Li, Xiang Yue
VisualWebBench: How Far Have Multimodal LLMs Evolved in Web Page Understanding and Grounding? CoRR (2024)
Tejas Srinivasan, Jack Hessel, Tanmay Gupta, Bill Yuchen Lin, Yejin Choi, Jesse Thomason, Khyathi Raghavi Chandu
Selective "Selective Prediction": Reducing Unnecessary Abstention in Vision-Language Reasoning. ACL (Findings) (2024)
Zhangchen Xu, Fengqing Jiang, Luyao Niu, Jinyuan Jia, Bill Yuchen Lin, Radha Poovendran
SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding. CoRR (2024)
Zhangchen Xu, Fengqing Jiang, Luyao Niu, Yuntian Deng, Radha Poovendran, Yejin Choi, Bill Yuchen Lin
Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing. CoRR (2024)
Huihan Li, Liwei Jiang, Jena D. Huang, Hyunwoo Kim, Sebastin Santy, Taylor Sorensen, Bill Yuchen Lin, Nouha Dziri, Xiang Ren, Yejin Choi
CULTURE-GEN: Revealing Global Cultural Perception in Language Models through Natural Language Prompting. CoRR (2024)
Da Yin, Faeze Brahman, Abhilasha Ravichander, Khyathi Chandu, Kai-Wei Chang, Yejin Choi, Bill Yuchen Lin
Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs. CoRR (2023)
Ximing Lu, Faeze Brahman, Peter West, Jaehun Jung, Khyathi Chandu, Abhilasha Ravichander, Lianhui Qin, Prithviraj Ammanabrolu, Liwei Jiang, Sahana Ramnath, Nouha Dziri, Jillian Fisher, Bill Yuchen Lin, Skyler Hallinan, Xiang Ren, Sean Welleck, Yejin Choi
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning. CoRR (2023)
Nouha Dziri, Ximing Lu, Melanie Sclar, Xiang Lorraine Li, Liwei Jiang, Bill Yuchen Lin, Sean Welleck, Peter West, Chandra Bhagavatula, Ronan Le Bras, Jena D. Hwang, Soumya Sanyal, Xiang Ren, Allyson Ettinger, Zaïd Harchaoui, Yejin Choi
Faith and Fate: Limits of Transformers on Compositionality. NeurIPS (2023)
Dong-Ho Lee, Ravi Kiran Selvam, Sheikh Muhammad Sarwar, Bill Yuchen Lin, Fred Morstatter, Jay Pujara, Elizabeth Boschee, James Allan, Xiang Ren
AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction. EACL (2023)
Dongfu Jiang, Xiang Ren, Bill Yuchen Lin
LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion. ACL (1) (2023)
Chengsong Huang, Qian Liu, Bill Yuchen Lin, Tianyu Pang, Chao Du, Min Lin
LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition. CoRR (2023)
Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ambrose Slone, Ameet Rahane, Anantharaman S. Iyer, Anders Andreassen, Andrea Madotto, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew K. Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakas, B. Ryan Roberts, Bao Sheng Loe, Barret Zoph, Bartlomiej Bojanowski, Batuhan Özyurt, Behnam Hedayatnia, Behnam Neyshabur, Benjamin Inden, Benno Stein, Berk Ekmekci, Bill Yuchen Lin, Blake Howald, Bryan Orinion, Cameron Diao, Cameron Dour, Catherine Stinson, Cedrick Argueta, Cèsar Ferri Ramírez, Chandan Singh, Charles Rathkopf, Chenlin Meng, Chitta Baral, Chiyu Wu, Chris Callison-Burch, Chris Waites, Christian Voigt, Christopher D. Manning, Christopher Potts, Cindy Ramirez, Clara E. Rivera, Clemencia Siro, Colin Raffel, Courtney Ashcraft, Cristina Garbacea, Damien Sileo, Dan Garrette, Dan Hendrycks, Dan Kilman, Dan Roth, Daniel Freeman, Daniel Khashabi, Daniel Levy, Daniel Moseguí González, Danielle Perszyk, Danny Hernandez, Danqi Chen, Daphne Ippolito, Dar Gilboa, David Dohan, David Drakard, David Jurgens, Debajyoti Datta, Deep Ganguli, Denis Emelin, Denis Kleyko, Deniz Yuret, Derek Chen, Derek Tam, Dieuwke Hupkes, Diganta Misra, Dilyar Buzan, Dimitri Coelho Mollo, Diyi Yang, Dong-Ho Lee, Dylan Schrader, Ekaterina Shutova, Ekin Dogus Cubuk, Elad Segal, Eleanor Hagerman, Elizabeth Barnes, Elizabeth Donoway, Ellie Pavlick, Emanuele Rodolà, Emma Lam, Eric Chu, Eric Tang, Erkut Erdem, Ernie Chang, Ethan A. Chi, Ethan Dyer, Ethan J. Jerzak, Ethan Kim, Eunice Engefu Manyasi, Evgenii Zheltonozhskii, Fanyue Xia, Fatemeh Siar, Fernando Martínez-Plumed, Francesca Happé, François Chollet, Frieda Rong, Gaurav Mishra, Genta Indra Winata, Gerard de Melo, Germán Kruszewski, Giambattista Parascandolo, Giorgio Mariani, Gloria Wang, Gonzalo Jaimovitch-López, Gregor Betz, Guy Gur-Ari, Hana Galijasevic, Hannah Kim, Hannah Rashkin, Hannaneh Hajishirzi, Harsh Mehta, Hayden Bogar, Henry Shevlin, Hinrich Schütze, Hiromu Yakura, Hongming Zhang, Hugh Mee Wong, Ian Ng, Isaac Noble, Jaap Jumelet, Jack Geissinger, Jackson Kernion, Jacob Hilton, Jaehoon Lee, Jaime Fernández Fisac, James B. Simon, James Koppel, James Zheng, James Zou, Jan Kocon, Jana Thompson, Janelle Wingfield, Jared Kaplan, Jarema Radom, Jascha Sohl-Dickstein, Jason Phang, Jason Wei, Jason Yosinski, Jekaterina Novikova, Jelle Bosscher, Jennifer Marsh, Jeremy Kim, Jeroen Taal, Jesse H. Engel, Jesujoba Alabi, Jiacheng Xu, Jiaming Song, Jillian Tang, Joan Waweru, John Burden, John Miller, John U. Balis, Jonathan Batchelder, Jonathan Berant, Jörg Frohberg, Jos Rozen, José Hernández-Orallo, Joseph Boudeman, Joseph Guerr, Joseph Jones, Joshua B. Tenenbaum, Joshua S. Rule, Joyce Chua, Kamil Kanclerz, Karen Livescu, Karl Krauth, Karthik Gopalakrishnan, Katerina Ignatyeva, Katja Markert, Kaustubh D. Dhole, Kevin Gimpel, Kevin Omondi, Kory Mathewson, Kristen Chiafullo, Ksenia Shkaruta, Kumar Shridhar, Kyle McDonell, Kyle Richardson, Laria Reynolds, Leo Gao, Li Zhang, Liam Dugan, Lianhui Qin, Lidia Contreras Ochando, Louis-Philippe Morency, Luca Moschella, Lucas Lam, Lucy Noble, Ludwig Schmidt, Luheng He, Luis Oliveros Colón, Luke Metz, Lütfi Kerem Senel, Maarten Bosma, Maarten Sap, Maartje ter Hoeve, Maheen Farooqi, Manaal Faruqui, Mantas Mazeika, Marco Baturan, Marco Marelli, Marco Maru, María José Ramírez-Quintana, Marie Tolkiehn, Mario Giulianelli, Martha Lewis, Martin Potthast, Matthew L. Leavitt, Matthias Hagen, Mátyás Schubert, Medina Baitemirova, Melody Arnaud, Melvin McElrath, Michael A. Yee, Michael Cohen, Michael Gu, Michael I. Ivanitskiy, Michael Starritt, Michael Strube, Michal Swedrowski, Michele Bevilacqua, Michihiro Yasunaga, Mihir Kale, Mike Cain, Mimee Xu, Mirac Suzgun, Mitch Walker, Mo Tiwari, Mohit Bansal, Moin Aminnaseri, Mor Geva, Mozhdeh Gheini, Mukund Varma T., Nanyun Peng, Nathan A. Chi, Nayeon Lee, Neta Gur-Ari Krakover, Nicholas Cameron, Nicholas Roberts, Nick Doiron, Nicole Martinez, Nikita Nangia, Niklas Deckers, Niklas Muennighoff, Nitish Shirish Keskar, Niveditha Iyer, Noah Constant, Noah Fiedel, Nuan Wen, Oliver Zhang, Omar Agha, Omar Elbaghdadi, Omer Levy, Owain Evans, Pablo Antonio Moreno Casares, Parth Doshi, Pascale Fung, Paul Pu Liang, Paul Vicol, Pegah Alipoormolabashi, Peiyuan Liao, Percy Liang, Peter Chang, Peter Eckersley, Phu Mon Htut, Pinyu Hwang, Piotr Milkowski, Piyush Patil, Pouya Pezeshkpour, Priti Oli, Qiaozhu Mei, Qing Lyu, Qinlang Chen, Rabin Banjade, Rachel Etta Rudolph, Raefer Gabriel, Rahel Habacker, Ramon Risco, Raphaël Millière, Rhythm Garg, Richard Barnes, Rif A. Saurous, Riku Arakawa, Robbe Raymaekers, Robert Frank, Rohan Sikand, Roman Novak, Roman Sitelew, Ronan LeBras, Rosanne Liu, Rowan Jacobs, Rui Zhang, Ruslan Salakhutdinov, Ryan Chi, Ryan Lee, Ryan Stovall, Ryan Teehan, Rylan Yang, Sahib Singh, Saif M. Mohammad, Sajant Anand, Sam Dillavou, Sam Shleifer, Sam Wiseman, Samuel Gruetter, Samuel R. Bowman, Samuel S. Schoenholz, Sanghyun Han, Sanjeev Kwatra, Sarah A. Rous, Sarik Ghazarian, Sayan Ghosh, Sean Casey, Sebastian Bischoff, Sebastian Gehrmann, Sebastian Schuster, Sepideh Sadeghi, Shadi Hamdan, Sharon Zhou, Shashank Srivastava, Sherry Shi, Shikhar Singh, Shima Asaadi, Shixiang Shane Gu, Shubh Pachchigar, Shubham Toshniwal, Shyam Upadhyay, Shyamolima (Shammie) Debnath, Siamak Shakeri, Simon Thormeyer, Simone Melzi, Siva Reddy, Sneha Priscilla Makini, Soo-Hwan Lee, Spencer Torene, Sriharsha Hatwar, Stanislas Dehaene, Stefan Divic, Stefano Ermon, Stella Biderman, Stephanie Lin, Stephen Prasad, Steven T. Piantadosi, Stuart M. Shieber, Summer Misherghi, Svetlana Kiritchenko, Swaroop Mishra, Tal Linzen, Tal Schuster, Tao Li, Tao Yu, Tariq Ali, Tatsu Hashimoto, Te-Lin Wu, Théo Desbordes, Theodore Rothschild, Thomas Phan, Tianle Wang, Tiberius Nkinyili, Timo Schick, Timofei Kornev, Titus Tunduny, Tobias Gerstenberg, Trenton Chang, Trishala Neeraj, Tushar Khot, Tyler Shultz, Uri Shaham, Vedant Misra, Vera Demberg, Victoria Nyamai, Vikas Raunak, Vinay V. Ramasesh, Vinay Uday Prabhu, Vishakh Padmakumar, Vivek Srikumar, William Fedus, William Saunders, William Zhang, Wout Vossen, Xiang Ren, Xiaoyu Tong, Xinran Zhao, Xinyi Wu, Xudong Shen, Yadollah Yaghoobzadeh, Yair Lakretz, Yangqiu Song, Yasaman Bahri, Yejin Choi, Yichi Yang, Yiding Hao, Yifu Chen, Yonatan Belinkov, Yu Hou, Yufang Hou, Yuntao Bai, Zachary Seid, Zhuoye Zhao, Zijian Wang, Zijie J. Wang, Zirui Wang, Ziyi Wu
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. Trans. Mach. Learn. Res. 2023 (2023)
Nouha Dziri, Ximing Lu, Melanie Sclar, Xiang Lorraine Li, Liwei Jiang, Bill Yuchen Lin, Peter West, Chandra Bhagavatula, Ronan Le Bras, Jena D. Hwang, Soumya Sanyal, Sean Welleck, Xiang Ren, Allyson Ettinger, Zaïd Harchaoui, Yejin Choi
Faith and Fate: Limits of Transformers on Compositionality. CoRR (2023)
Bill Yuchen Lin, Chengsong Huang, Qian Liu, Wenda Gu, Sam Sommerer, Xiang Ren
On Grounded Planning for Embodied Tasks with Language Models. AAAI (2023)
Wenting Zhao, Mor Geva, Bill Yuchen Lin, Michihiro Yasunaga, Aman Madaan, Tao Yu
Complex Reasoning in Natural Languag. ACL (tutorial) (2023)
Peter West, Ronan Le Bras, Taylor Sorensen, Bill Yuchen Lin, Liwei Jiang, Ximing Lu, Khyathi Chandu, Jack Hessel, Ashutosh Baheti, Chandra Bhagavatula, Yejin Choi
NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation. CoRR (2023)
Bill Yuchen Lin, Yicheng Fu, Karina Yang, Faeze Brahman, Shiyu Huang, Chandra Bhagavatula, Prithviraj Ammanabrolu, Yejin Choi, Xiang Ren
SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks. NeurIPS (2023)
Bill Yuchen Lin, Yicheng Fu, Karina Yang, Prithviraj Ammanabrolu, Faeze Brahman, Shiyu Huang, Chandra Bhagavatula, Yejin Choi, Xiang Ren
SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks. CoRR (2023)
Dongfu Jiang, Xiang Ren, Bill Yuchen Lin
LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion. CoRR (2023)
Dongfu Jiang, Yishan Li, Ge Zhang, Wenhao Huang, Bill Yuchen Lin, Wenhu Chen
TIGERScore: Towards Building Explainable Metric for All Text Generation Tasks. CoRR (2023)
Jiaxian Guo, Bo Yang, Paul Yoo, Bill Yuchen Lin, Yusuke Iwasawa, Yutaka Matsuo
Suspicion-Agent: Playing Imperfect Information Games with Theory of Mind Aware GPT-4. CoRR (2023)
Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, Nouha Dziri, Melanie Sclar, Khyathi Chandu, Chandra Bhagavatula, Yejin Choi
The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning. CoRR (2023)
Joel Jang, Seungone Kim, Bill Yuchen Lin, Yizhong Wang, Jack Hessel, Luke Zettlemoyer, Hannaneh Hajishirzi, Yejin Choi, Prithviraj Ammanabrolu
Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging. CoRR (2023)
Chenguang Zhu, Yichong Xu, Xiang Ren, Bill Yuchen Lin, Meng Jiang, Wenhao Yu
Knowledge-Augmented Methods for Natural Language Processing. WSDM (2023)
Pei Zhou, Hyundong Cho, Pegah Jandaghi, Dong-Ho Lee, Bill Yuchen Lin, Jay Pujara, Xiang Ren
Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality. EMNLP (2022)
Bill Yuchen Lin, Chengsong Huang, Qian Liu, Wenda Gu, Sam Sommerer, Xiang Ren
On Grounded Planning for Embodied Tasks with Language Models. CoRR (2022)
Bill Yuchen Lin, Sida Wang, Xi Victoria Lin, Robin Jia, Lin Xiao, Xiang Ren, Scott Yih
On Continual Model Refinement in Out-of-Distribution Data Streams. ACL (1) (2022)
Bill Yuchen Lin, Sida Wang, Xi Victoria Lin, Robin Jia, Lin Xiao, Xiang Ren, Wen-tau Yih
On Continual Model Refinement in Out-of-Distribution Data Streams. CoRR (2022)
Bill Yuchen Lin, Chaoyang He, Zihang Ze, Hulin Wang, Yufen Hua, Christophe Dupuy, Rahul Gupta, Mahdi Soltanolkotabi, Xiang Ren, Salman Avestimehr
FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks. NAACL-HLT (Findings) (2022)
Pei Zhou, Hyundong Cho, Pegah Jandaghi, Dong-Ho Lee, Bill Yuchen Lin, Jay Pujara, Xiang Ren
Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality. CoRR (2022)
Jun Yan, Yang Xiao, Sagnik Mukherjee, Bill Yuchen Lin, Robin Jia, Xiang Ren
On the Robustness of Reading Comprehension Models to Entity Renaming. NAACL-HLT (2022)
Dongfu Jiang, Bill Yuchen Lin, Xiang Ren
PairReranker: Pairwise Reranking for Natural Language Generation. CoRR (2022)
Bill Yuchen Lin, Kangmin Tan, Chris Miller, Beiwen Tian, Xiang Ren
Unsupervised Cross-Task Generalization via Retrieval Augmentation. NeurIPS (2022)
Bill Yuchen Lin, Kangmin Tan, Chris Miller, Beiwen Tian, Xiang Ren
Unsupervised Cross-Task Generalization via Retrieval Augmentation. CoRR (2022)
Xisen Jin, Bill Yuchen Lin, Mohammad Rostami, Xiang Ren
Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning. EMNLP (Findings) (2021)
Dong-Ho Lee, Ravi Kiran Selvam, Sheikh Muhammad Sarwar, Bill Yuchen Lin, Mahak Agarwal, Fred Morstatter, Jay Pujara, Elizabeth Boschee, James Allan, Xiang Ren
AutoTriggER: Named Entity Recognition with Auxiliary Trigger Extraction. CoRR (2021)
Bill Yuchen Lin, Chaoyang He, Zihang Zeng, Hulin Wang, Yufen Huang, Mahdi Soltanolkotabi, Xiang Ren, Salman Avestimehr
FedNLP: A Research Platform for Federated Learning in Natural Language Processing. CoRR (2021)
Bill Yuchen Lin, Ziyi Wu, Yichi Yang, Dong-Ho Lee, Xiang Ren
RiddleSense: Answering Riddle Questions as Commonsense Reasoning. CoRR (2021)
Pei Zhou, Rahul Khanna, Seyeon Lee, Bill Yuchen Lin, Daniel Ho, Jay Pujara, Xiang Ren
RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms. EMNLP (1) (2021)
Bill Yuchen Lin, Wenyang Gao, Jun Yan, Ryan Moreno, Xiang Ren
RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models. CoRR (2021)
Bill Yuchen Lin, Seyeon Lee, Xiaoyang Qiao, Xiang Ren
Common Sense Beyond English: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning. ACL/IJCNLP (1) (2021)
Wenxuan Zhou, Bill Yuchen Lin, Xiang Ren
IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization. AAAI (2021)
Bill Yuchen Lin, Ziyi Wu, Yichi Yang, Dong-Ho Lee, Xiang Ren
RiddleSense: Reasoning about Riddle Questions Featuring Linguistic Creativity and Commonsense Knowledge. ACL/IJCNLP (Findings) (2021)
Jun Yan, Yang Xiao, Sagnik Mukherjee, Bill Yuchen Lin, Robin Jia, Xiang Ren
On the Robustness of Reading Comprehension Models to Entity Renaming. CoRR (2021)
Bill Yuchen Lin, Seyeon Lee, Xiaoyang Qiao, Xiang Ren
Common Sense Beyond English: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning. CoRR (2021)
Bill Yuchen Lin, Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Xiang Ren, William W. Cohen
Differentiable Open-Ended Commonsense Reasoning. NAACL-HLT (2021)
Qinyuan Ye, Bill Yuchen Lin, Xiang Ren
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP. CoRR (2021)
Pei Zhou, Pegah Jandaghi, Bill Yuchen Lin, Justin Cho, Jay Pujara, Xiang Ren
Probing Causal Common Sense in Dialogue Response Generation. CoRR (2021)
Qinyuan Ye, Bill Yuchen Lin, Xiang Ren
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP. EMNLP (1) (2021)
Bill Yuchen Lin, Wenyang Gao, Jun Yan, Ryan Moreno, Xiang Ren
RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models. EMNLP (1) (2021)
Pei Zhou, Pegah Jandaghi, Hyundong Cho, Bill Yuchen Lin, Jay Pujara, Xiang Ren
Probing Commonsense Explanation in Dialogue Response Generation. EMNLP (Findings) (2021)
Bill Yuchen Lin, Dong-Ho Lee, Ming Shen, Ryan Moreno, Xiao Huang, Prashant Shiralkar, Xiang Ren
TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition. CoRR (2020)
Bill Yuchen Lin, Ming Shen, Wangchunshu Zhou, Pei Zhou, Chandra Bhagavatula, Yejin Choi, Xiang Ren
CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning. AKBC (2020)
Bill Yuchen Lin, Seyeon Lee, Rahul Khanna, Xiang Ren
Birds have four legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-trained Language Models. CoRR (2020)
Ouyu Lan, Xiao Huang, Bill Yuchen Lin, He Jiang, Liyuan Liu, Xiang Ren
Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling. ACL (2020)
Yanlin Feng, Xinyue Chen, Bill Yuchen Lin, Peifeng Wang, Jun Yan, Xiang Ren
Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering. CoRR (2020)
Bill Yuchen Lin, Ying Sheng, Nguyen Vo, Sandeep Tata
FreeDOM: A Transferable Neural Architecture for Structured Information Extraction on Web Documents. CoRR (2020)
Wenxuan Zhou, Hongtao Lin, Bill Yuchen Lin, Ziqi Wang, Junyi Du, Leonardo Neves, Xiang Ren
NERO: A Neural Rule Grounding Framework for Label-Efficient Relation Extraction. WWW (2020)
Bill Yuchen Lin, Seyeon Lee, Rahul Khanna, Xiang Ren
Birds have four legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-Trained Language Models. EMNLP (1) (2020)
Wenxuan Zhou, Bill Yuchen Lin, Xiang Ren
IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization. CoRR (2020)
Bill Yuchen Lin, Dong-Ho Lee, Ming Shen, Ryan Moreno, Xiao Huang, Prashant Shiralkar, Xiang Ren
TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition. ACL (2020)
Dong-Ho Lee, Rahul Khanna, Bill Yuchen Lin, Jamin Chen, Seyeon Lee, Qinyuan Ye, Elizabeth Boschee, Leonardo Neves, Xiang Ren
LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation. CoRR (2020)
Bill Yuchen Lin, Wangchunshu Zhou, Ming Shen, Pei Zhou, Chandra Bhagavatula, Yejin Choi, Xiang Ren
CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning. EMNLP (Findings) (2020)
Wangchunshu Zhou, Dong-Ho Lee, Ravi Kiran Selvam, Seyeon Lee, Bill Yuchen Lin, Xiang Ren
Pre-training Text-to-Text Transformers for Concept-centric Common Sense. CoRR (2020)
Pei Zhou, Rahul Khanna, Bill Yuchen Lin, Daniel Ho, Xiang Ren, Jay Pujara
Can BERT Reason? Logically Equivalent Probes for Evaluating the Inference Capabilities of Language Models. CoRR (2020)
Bill Yuchen Lin, Ying Sheng, Nguyen Vo, Sandeep Tata
FreeDOM: A Transferable Neural Architecture for Structured Information Extraction on Web Documents. KDD (2020)
Bill Yuchen Lin, Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Xiang Ren, William W. Cohen
Differentiable Open-Ended Commonsense Reasoning. CoRR (2020)
Dong-Ho Lee, Rahul Khanna, Bill Yuchen Lin, Seyeon Lee, Qinyuan Ye, Elizabeth Boschee, Leonardo Neves, Xiang Ren
LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation. ACL (demo) (2020)
Yanlin Feng, Xinyue Chen, Bill Yuchen Lin, Peifeng Wang, Jun Yan, Xiang Ren
Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering. EMNLP (1) (2020)
Ouyu Lan, Xiao Huang, Bill Yuchen Lin, He Jiang, Liyuan Liu, Xiang Ren
Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling. CoRR (2019)
Bill Yuchen Lin, Dong-Ho Lee, Frank F. Xu, Ouyu Lan, Xiang Ren
AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging. ACL (3) (2019)
Bill Yuchen Lin, Xinyue Chen, Jamin Chen, Xiang Ren
KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning. EMNLP/IJCNLP (1) (2019)
Bill Yuchen Lin, Xinyue Chen, Jamin Chen, Xiang Ren
KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning. CoRR (2019)
Bill Yuchen Lin, Ming Shen, Yu Xing, Pei Zhou, Xiang Ren
CommonGen: A Constrained Text Generation Dataset Towards Generative Commonsense Reasoning. CoRR (2019)
Bill Yuchen Lin, Wei Lu
Neural Adaptation Layers for Cross-domain Named Entity Recognition. CoRR (2018)
Zhiyi Luo, Shanshan Huang, Frank F. Xu, Bill Yuchen Lin, Hanyuan Shi, Kenny Q. Zhu
ExtRA: Extracting Prominent Review Aspects from Customer Feedback. EMNLP (2018)
Bill Yuchen Lin, Wei Lu
Neural Adaptation Layers for Cross-domain Named Entity Recognition. EMNLP (2018)