Bill Yuchen Lin

发表

Differentiable Open-Ended Commonsense Reasoning pdf

William W. Cohen, Haitian Sun, Bill Yuchen Lin, 2020, ArXiv.

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

Pei Zhou, Yu Xing, Bill Yuchen Lin, 2019, ArXiv.

CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning

Yejin Choi, Chandra Bhagavatula, Ming Shen, 2020, EMNLP.

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

Xiang Ren, Bill Yuchen Lin, Dong-Ho Lee, 2019, ACL.

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

Bill Yuchen Lin, Ying Sheng, Nguyen Vo, 2020, KDD.

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

Rahul Khanna, Bill Yuchen Lin, Xiang Ren, 2020, ArXiv.

IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization pdf

Bill Yuchen Lin, Xiang Ren, Wenxuan Zhou, 2020, ArXiv.

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

Xiao Huang, Ming Shen, Bill Yuchen Lin, 2020, ACL.

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

Rahul Khanna, Leonardo Neves, Bill Yuchen Lin, 2020, ACL.

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

Rahul Khanna, Bill Yuchen Lin, Xiang Ren, 2020, EMNLP.

ExtRA: Extracting Prominent Review Aspects from Customer Feedback

Kenny Q. Zhu, Bill Yuchen Lin, Frank F. Xu, 2018, EMNLP.

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

Leonardo Neves, Ziqi Wang, Bill Yuchen Lin, 2020, WWW.

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

He Jiang, Bill Yuchen Lin, Xiang Ren, 2020, ACL.

RiddleSense: Answering Riddle Questions as Commonsense Reasoning pdf

Bill Yuchen Lin, Xiang Ren, Dong-Ho Lee, 2021, arXiv.org.

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

Bill Yuchen Lin, Xiang Ren, Wangchunshu Zhou, 2020, ArXiv.

KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning pdf

Xiang Ren, Bill Yuchen Lin, Xinyue Chen, 2019, EMNLP.

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

Jun Yan, Bill Yuchen Lin, Xiang Ren, 2020, EMNLP.

Neural Adaptation Layers for Cross-domain Named Entity Recognition pdf

Wei Lu, Bill Yuchen Lin, Wei Lu, 2018, EMNLP.

RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms

Rahul Khanna, Bill Yuchen Lin, Xiang Ren, 2020, Conference on Empirical Methods in Natural Language Processing.

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

Bill Yuchen Lin, Xiang Ren, Seyeon Lee, 2021, ACL.

Differentiable Open-Ended Commonsense Reasoning

William W. Cohen, Haitian Sun, Manzil Zaheer, 2021, NAACL.

Probing Causal Common Sense in Dialogue Response Generation pdf

Jay Pujara, Xiang Ren, Bill Yuchen Lin, 2021, ArXiv.

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

Xiang Ren, Bill Yuchen Lin, Qinyuan Ye, 2021, EMNLP.

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

Bill Yuchen Lin, Xiang Ren, Ziyi Wu, 2021, FINDINGS.

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

Xiang Ren, Mahdi Soltanolkotabi, Bill Yuchen Lin, 2021, ArXiv.

IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization

Bill Yuchen Lin, Xiang Ren, Wenxuan Zhou, 2020, AAAI.

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

Jun Yan, Bill Yuchen Lin, Xiang Ren, 2020, EMNLP.

On the Robustness of Reading Comprehension Models to Entity Renaming

Bill Yuchen Lin, Robin Jia, Xiang Ren, 2021, NAACL.

FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks

Bill Yuchen Lin, M. Soltanolkotabi, S. Avestimehr, 2021, NAACL-HLT.

Knowledge-Augmented Methods for Natural Language Processing

Bill Yuchen Lin, Wenhao Yu, Xiang Ren, 2023, ACL.

Unsupervised Cross-Task Generalization via Retrieval Augmentation

Bill Yuchen Lin, Xiang Ren, Kangmin Tan, 2022, ArXiv.

Transfer Learning for Traffic Speed Prediction: A Preliminary Study

Kenny Q. Zhu, Bill Yuchen Lin, Frank F. Xu, 2018, AAAI Workshops.

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

Sida I. Wang, Bill Yuchen Lin, Xi Victoria Lin, 2022, ACL.

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Gerard de Melo, Andrew M. Dai, Christopher D. Manning, 2022, ArXiv.

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

Bill Yuchen Lin, Xiang Ren, Mohammad Rostami, 2021, EMNLP.

Unsupervised Cross-Task Generalization via Retrieval Augmentation

Bill Yuchen Lin, Xiang Ren, Kangmin Tan, 2022, NeurIPS.

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

Bill Yuchen Lin, Xiang Ren, J. Pujara, 2022, EMNLP.

CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning

Bill Yuchen Lin, Yejin Choi, Chandra Bhagavatula, 2020, FINDINGS.

PairReranker: Pairwise Reranking for Natural Language Generation

Bill Yuchen Lin, Xiang Ren, Dongfu Jiang, 2022, ArXiv.

On Grounded Planning for Embodied Tasks with Language Models

Bill Yuchen Lin, Xiang Ren, Chengsong Huang, 2022, 2209.00465.

The First Workshop on Commonsense Representation and Reasoning May 27 , 2022

Bill Yuchen Lin, Yash Kumar Lal, Rachel Rudinger, 2022 .

RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms

Bill Yuchen Lin, Xiang Ren, J. Pujara, 2020, EMNLP.

Birds Have Four Legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-trained Language Models

Bill Yuchen Lin, Xiang Ren, Rahul Khanna, 2020, EMNLP.

Differentiable Open-Ended Commonsense Reasoning

William W. Cohen, Bill Yuchen Lin, M. Zaheer, 2020, NAACL.

Automatic Extraction of Commonsense LocatedNear Knowledge

Kenny Q. Zhu, Bill Yuchen Lin, Frank F. Xu, 2017, ACL.

Cross-region traffic prediction for China on OpenStreetMap

Qi Lu, Kenny Q. Zhu, Bill Yuchen Lin, 2016, IWCTS@SIGSPATIAL.

AutoTriggER: Named Entity Recognition with Auxiliary Trigger Extraction pdf

Fred Morstatter, Jay Pujara, Bill Yuchen Lin, 2021, ArXiv.

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

Bill Yuchen Lin, Xiang Ren, Leonardo Neves, 2020, .

On Grounded Planning for Embodied Tasks with Language Models

Bill Yuchen Lin, Xiang Ren, Chengsong Huang, 2022, ArXiv.

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

Bill Yuchen Lin, Ravi Kiran Selvam, Xiang Ren, 2020, ICLR.

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

Bill Yuchen Lin, Xiang Ren, Ryan Moreno, 2021, EMNLP.

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

Bill Yuchen Lin, Yejin Choi, Chandra Bhagavatula, 2023, NeurIPS.

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

Kenny Q. Zhu, Bill Yuchen Lin, Frank F. Xu, 2017, NUT@EMNLP.

Probing Commonsense Explanation in Dialogue Response Generation

Jay Pujara, Bill Yuchen Lin, Xiang Ren, 2021, EMNLP.

Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling

Bill Yuchen Lin, Xiang Ren, Liyuan Liu, 2019, ACL.

Faith and Fate: Limits of Transformers on Compositionality

Ronan Le Bras, Jena D. Hwang, Bill Yuchen Lin, 2023, ArXiv.

Complex Reasoning in Natural Languag

Bill Yuchen Lin, Tao Yu, Michihiro Yasunaga, 2023, ACL.

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

Bill Yuchen Lin, Khyathi Raghavi Chandu, Xiang Ren, 2023, EMNLP.

LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Bill Yuchen Lin, Min Lin, Chao Du, 2023, ArXiv.

On Grounded Planning for Embodied Tasks with Language Models

Bill Yuchen Lin, Xiang Ren, Qian Liu, 2022, AAAI.

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

Bill Yuchen Lin, Xiang Ren, Dongfu Jiang, 2023, Annual Meeting of the Association for Computational Linguistics.

Mining Cross-Cultural Differences and Similarities in Social Media

Seung-won Hwang, Kenny Q. Zhu, Bill Yuchen Lin, 2018, ACL.

Faith and Fate: Limits of Transformers on Compositionality

Ronan Le Bras, Jena D. Hwang, Bill Yuchen Lin, 2023, NeurIPS.

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

Bill Yuchen Lin, Paul Yoo, Jiaxian Guo, 2023, ArXiv.

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Ronan Le Bras, Stuart M. Shieber, Vinay Uday Prabhu, 2022, ArXiv.

FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks

Bill Yuchen Lin, M. Soltanolkotabi, S. Avestimehr, 2021, NAACL-HLT.

FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks

Bill Yuchen Lin, M. Soltanolkotabi, Chaoyang He, 2022 .

Agent Lumos: Unified and Modular Training for Open-Source Language Agents

Bill Yuchen Lin, Khyathi Raghavi Chandu, Abhilasha Ravichander, 2023, 2311.05657.

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

Bill Yuchen Lin, Hannaneh Hajishirzi, Jack Hessel, 2023, ArXiv.

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

Bill Yuchen Lin, Xiang Ren, Dongfu Jiang, 2023, ACL.

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

Bill Yuchen Lin, Khyathi Raghavi Chandu, Chandra Bhagavatula, 2023, ArXiv.