Bill Y. Lin

According to our database, Bill Y. Lin authored at least 64 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

RewardBench: Evaluating Reward Models for Language Modeling.

Nathan Lambert, Valentina Pyatkin, Jacob Morrison, LJ Miranda, Bill Yuchen Lin, Khyathi Chandu, Nouha Dziri, Sachin Kumar, Tom Zick, Yejin Choi, Noah A. Smith, Hannaneh Hajishirzi

CoRR, 2024

Trial and Error: Exploration-Based Trajectory Optimization for LLM Agents.

Yifan Song, Da Yin, Xiang Yue, Jie Huang, Sujian Li, Bill Yuchen Lin

CoRR, 2024

Selective "Selective Prediction": Reducing Unnecessary Abstention in Vision-Language Reasoning.

Tejas Srinivasan, Jack Hessel, Tanmay Gupta, Bill Yuchen Lin, Yejin Choi, Jesse Thomason, Khyathi Raghavi Chandu

CoRR, 2024

OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement.

Tianyu Zheng, Ge Zhang, Tianhao Shen, Xueling Liu, Bill Yuchen Lin, Jie Fu, Wenhu Chen, Xiang Yue

CoRR, 2024

L3GO: Language Agents with Chain-of-3D-Thoughts for Generating Unconventional Objects.

Yutaro Yamada, Khyathi Chandu, Bill Yuchen Lin, Jack Hessel, Ilker Yildirim, Yejin Choi

CoRR, 2024

SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding.

Zhangchen Xu, Fengqing Jiang, Luyao Niu, Jinyuan Jia, Bill Yuchen Lin, Radha Poovendran

CoRR, 2024

2023

The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning.

Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, Nouha Dziri, Melanie Sclar, Khyathi Chandu, Chandra Bhagavatula, Yejin Choi

CoRR, 2023

Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs.

Da Yin, Faeze Brahman, Abhilasha Ravichander, Khyathi Chandu, Kai-Wei Chang, Yejin Choi, Bill Yuchen Lin

CoRR, 2023

Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging.

Joel Jang, Seungone Kim, Bill Yuchen Lin, Yizhong Wang, Jack Hessel, Luke Zettlemoyer, Hannaneh Hajishirzi, Yejin Choi, Prithviraj Ammanabrolu

CoRR, 2023

TIGERScore: Towards Building Explainable Metric for All Text Generation Tasks.

Dongfu Jiang, Yishan Li, Ge Zhang, Wenhao Huang, Bill Yuchen Lin, Wenhu Chen

CoRR, 2023

Suspicion-Agent: Playing Imperfect Information Games with Theory of Mind Aware GPT-4.

Jiaxian Guo, Bo Yang, Paul Yoo, Bill Yuchen Lin, Yusuke Iwasawa, Yutaka Matsuo

CoRR, 2023

LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition.

Chengsong Huang, Qian Liu, Bill Yuchen Lin, Tianyu Pang, Chao Du, Min Lin

CoRR, 2023

Faith and Fate: Limits of Transformers on Compositionality.

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

CoRR, 2023

Knowledge-Augmented Methods for Natural Language Processing.

Chenguang Zhu, Yichong Xu, Xiang Ren, Bill Yuchen Lin, Meng Jiang, Wenhao Yu

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks.

Bill Yuchen Lin, Yicheng Fu, Karina Yang, Faeze Brahman, Shiyu Huang, Chandra Bhagavatula, Prithviraj Ammanabrolu, Yejin Choi, Xiang Ren

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Faith and Fate: Limits of Transformers on Compositionality.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation.

Peter West, Ronan Le Bras, Taylor Sorensen, Bill Yuchen Lin, Liwei Jiang, Ximing Lu, Khyathi Chandu, Jack Hessel, Ashutosh Baheti, Chandra Bhagavatula, Yejin Choi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning.

Ximing Lu, Faeze Brahman, Peter West, Jaehun Jung, Khyathi Chandu, Abhilasha Ravichander, Prithviraj Ammanabrolu, Liwei Jiang, Sahana Ramnath, Nouha Dziri, Jillian Fisher, Bill Y. Lin, Skyler Hallinan, Lianhui Qin, Xiang Ren, Sean Welleck, Yejin Choi

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction.

Dong-Ho Lee, Ravi Kiran Selvam, Sheikh Muhammad Sarwar, Bill Yuchen Lin, Fred Morstatter, Jay Pujara, Elizabeth Boschee, James Allan, Xiang Ren

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Complex Reasoning in Natural Languag.

Wenting Zhao, Mor Geva, Bill Yuchen Lin, Michihiro Yasunaga, Aman Madaan, Tao Yu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts, 2023

LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion.

Dongfu Jiang, Xiang Ren, Bill Yuchen Lin

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

On Grounded Planning for Embodied Tasks with Language Models.

Bill Yuchen Lin, Chengsong Huang, Qian Liu, Wenda Gu, Sam Sommerer, Xiang Ren

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

PairReranker: Pairwise Reranking for Natural Language Generation.

Dongfu Jiang, Bill Yuchen Lin, Xiang Ren

CoRR, 2022

Unsupervised Cross-Task Generalization via Retrieval Augmentation.

Bill Yuchen Lin, Kangmin Tan, Chris Miller, Beiwen Tian, Xiang Ren

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On the Robustness of Reading Comprehension Models to Entity Renaming.

Jun Yan, Yang Xiao, Sagnik Mukherjee, Bill Yuchen Lin, Robin Jia, Xiang Ren

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks.

Bill Yuchen Lin, Chaoyang He, Zihang Ze, Hulin Wang, Yufen Hua, Christophe Dupuy, Rahul Gupta, Mahdi Soltanolkotabi, Xiang Ren, Salman Avestimehr

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality.

Pei Zhou, Hyundong Cho, Pegah Jandaghi, Dong-Ho Lee, Bill Yuchen Lin, Jay Pujara, Xiang Ren

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

On Continual Model Refinement in Out-of-Distribution Data Streams.

Bill Yuchen Lin, Sida Wang, Xi Victoria Lin, Robin Jia, Lin Xiao, Xiang Ren, Scott Yih

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

AutoTriggER: Named Entity Recognition with Auxiliary Trigger Extraction.

Dong-Ho Lee, Ravi Kiran Selvam, Sheikh Muhammad Sarwar, Bill Yuchen Lin, Mahak Agarwal, Fred Morstatter, Jay Pujara, Elizabeth Boschee, James Allan, Xiang Ren

CoRR, 2021

Probing Causal Common Sense in Dialogue Response Generation.

Pei Zhou, Pegah Jandaghi, Bill Yuchen Lin, Justin Cho, Jay Pujara, Xiang Ren

CoRR, 2021

FedNLP: A Research Platform for Federated Learning in Natural Language Processing.

Bill Yuchen Lin, Chaoyang He, Zihang Zeng, Hulin Wang, Yufen Huang, Mahdi Soltanolkotabi, Xiang Ren, Salman Avestimehr

CoRR, 2021

RiddleSense: Answering Riddle Questions as Commonsense Reasoning.

Bill Yuchen Lin, Ziyi Wu, Yichi Yang, Dong-Ho Lee, Xiang Ren

CoRR, 2021

Differentiable Open-Ended Commonsense Reasoning.

Bill Yuchen Lin, Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Xiang Ren, William W. Cohen

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms.

Pei Zhou, Rahul Khanna, Seyeon Lee, Bill Yuchen Lin, Daniel Ho, Jay Pujara, Xiang Ren

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Probing Commonsense Explanation in Dialogue Response Generation.

Pei Zhou, Pegah Jandaghi, Hyundong Cho, Bill Yuchen Lin, Jay Pujara, Xiang Ren

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP.

Qinyuan Ye, Bill Yuchen Lin, Xiang Ren

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models.

Bill Yuchen Lin, Wenyang Gao, Jun Yan, Ryan Moreno, Xiang Ren

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning.

Xisen Jin, Bill Yuchen Lin, Mohammad Rostami, Xiang Ren

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

RiddleSense: Reasoning about Riddle Questions Featuring Linguistic Creativity and Commonsense Knowledge.

Bill Yuchen Lin, Ziyi Wu, Yichi Yang, Dong-Ho Lee, Xiang Ren

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Common Sense Beyond English: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning.

Bill Yuchen Lin, Seyeon Lee, Xiaoyang Qiao, Xiang Ren

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization.

Wenxuan Zhou, Bill Yuchen Lin, Xiang Ren

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Pre-training Text-to-Text Transformers for Concept-centric Common Sense.

Wangchunshu Zhou, Dong-Ho Lee, Ravi Kiran Selvam, Seyeon Lee, Bill Yuchen Lin, Xiang Ren

CoRR, 2020

Can BERT Reason? Logically Equivalent Probes for Evaluating the Inference Capabilities of Language Models.

Pei Zhou, Rahul Khanna, Bill Yuchen Lin, Daniel Ho, Xiang Ren, Jay Pujara

CoRR, 2020

LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation.

Dong-Ho Lee, Rahul Khanna, Bill Yuchen Lin, Jamin Chen, Seyeon Lee, Qinyuan Ye, Elizabeth Boschee, Leonardo Neves, Xiang Ren

CoRR, 2020

NERO: A Neural Rule Grounding Framework for Label-Efficient Relation Extraction.

Wenxuan Zhou, Hongtao Lin, Bill Yuchen Lin, Ziqi Wang, Junyi Du, Leonardo Neves, Xiang Ren

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

FreeDOM: A Transferable Neural Architecture for Structured Information Extraction on Web Documents.

Bill Yuchen Lin, Ying Sheng, Nguyen Vo, Sandeep Tata

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Birds have four legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-Trained Language Models.

Bill Yuchen Lin, Seyeon Lee, Rahul Khanna, Xiang Ren

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering.

Yanlin Feng, Xinyue Chen, Bill Yuchen Lin, Peifeng Wang, Jun Yan, Xiang Ren

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning.

Bill Yuchen Lin, Ming Shen, Wangchunshu Zhou, Pei Zhou, Chandra Bhagavatula, Yejin Choi, Xiang Ren

Proceedings of the Conference on Automated Knowledge Base Construction, 2020

TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition.

Bill Yuchen Lin, Dong-Ho Lee, Ming Shen, Ryan Moreno, Xiao Huang, Prashant Shiralkar, Xiang Ren

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation.

Dong-Ho Lee, Rahul Khanna, Bill Yuchen Lin, Seyeon Lee, Qinyuan Ye, Elizabeth Boschee, Leonardo Neves, Xiang Ren

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020

Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling.

Ouyu Lan, Xiao Huang, Bill Yuchen Lin, He Jiang, Liyuan Liu, Xiang Ren

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

CommonGen: A Constrained Text Generation Dataset Towards Generative Commonsense Reasoning.

Bill Yuchen Lin, Ming Shen, Yu Xing, Pei Zhou, Xiang Ren

CoRR, 2019

KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning.

Bill Yuchen Lin, Xinyue Chen, Jamin Chen, Xiang Ren

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging.

Bill Yuchen Lin, Dong-Ho Lee, Frank F. Xu, Ouyu Lan, Xiang Ren

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

ExtRA: Extracting Prominent Review Aspects from Customer Feedback.

Zhiyi Luo, Shanshan Huang, Frank F. Xu, Bill Yuchen Lin, Hanyuan Shi, Kenny Q. Zhu

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Neural Adaptation Layers for Cross-domain Named Entity Recognition.

Bill Yuchen Lin, Wei Lu

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Automatic Extraction of Commonsense LocatedNear Knowledge.

Frank F. Xu, Bill Y. Lin, Kenny Q. Zhu

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Mining Cross-Cultural Differences and Similarities in Social Media.

Bill Y. Lin, Frank F. Xu, Kenny Q. Zhu, Seung-won Hwang

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Transfer Learning for Traffic Speed Prediction: A Preliminary Study.

Bill Y. Lin, Frank F. Xu, Eve Q. Liao, Kenny Q. Zhu

Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Dynamic Detection of Communities and Their Evolutions in Temporal Social Networks.

Yaowei Huang, Jinghuan Shang, Bill Y. Lin, Luoyi Fu, Xinbing Wang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Commonsense LocatedNear Relation Extraction.

Frank F. Xu, Bill Y. Lin, Kenny Q. Zhu

Proceedings of the 6th Workshop on Automated Knowledge Base Construction, 2017

Multi-channel BiLSTM-CRF Model for Emerging Named Entity Recognition in Social Media.

Bill Y. Lin, Frank F. Xu, Zhiyi Luo, Kenny Q. Zhu

Proceedings of the 3rd Workshop on Noisy User-generated Text, 2017

2016

Cross-region traffic prediction for China on OpenStreetMap.

Frank F. Xu, Bill Y. Lin, Qi Lu, Yifei Huang, Kenny Q. Zhu

Proceedings of the 9th ACM SIGSPATIAL International Workshop on Computational Transportation Science, 2016