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ORCIDBill Y. Lin
Person information
- affiliation: University of Southern California, USA
- affiliation: Shanghai Jiao Tong University, China
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2020 – today
- 2023
[c37]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: 3003-3017- [c36]Chenguang Zhu
, Yichong Xu, Xiang Ren, Bill Yuchen Lin, Meng Jiang, Wenhao Yu:
Knowledge-Augmented Methods for Natural Language Processing. WSDM 2023: 1228-1231 - 2022
- [c35]Chenguang Zhu, Yichong Xu, Xiang Ren, Bill Y. Lin, Meng Jiang, Wenhao Yu:
Knowledge-Augmented Methods for Natural Language Processing. ACL (tutorial) 2022: 12-20 - [c34]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: 3128-3139 - [c33]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: 10450-10468 - [c32]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: 157-175 - [c31]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: 508-520 - [c30]Bill Yuchen Lin, Kangmin Tan, Chris Miller, Beiwen Tian, Xiang Ren:
Unsupervised Cross-Task Generalization via Retrieval Augmentation. NeurIPS 2022 - [i27]Bill Yuchen Lin, Kangmin Tan, Chris Miller, Beiwen Tian, Xiang Ren:
Unsupervised Cross-Task Generalization via Retrieval Augmentation. CoRR abs/2204.07937 (2022) - [i26]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 abs/2205.02014 (2022) - [i25]Bill Yuchen Lin, Chengsong Huang, Qian Liu, Wenda Gu, Sam Sommerer, Xiang Ren:
On Grounded Planning for Embodied Tasks with Language Models. CoRR abs/2209.00465 (2022) - [i24]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 abs/2211.09267 (2022) - [i23]Dongfu Jiang, Bill Yuchen Lin, Xiang Ren:
PairReranker: Pairwise Reranking for Natural Language Generation. CoRR abs/2212.10555 (2022) - 2021
- [c29]Wenxuan Zhou, Bill Yuchen Lin, Xiang Ren:
IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization. AAAI 2021: 14621-14629 - [c28]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: 1274-1287 - [c27]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: 1504-1515 - [c26]Xisen Jin, Bill Yuchen Lin, Mohammad Rostami, Xiang Ren:
Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning. EMNLP (Findings) 2021: 714-729 - [c25]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: 3728-3737 - [c24]Pei Zhou, Pegah Jandaghi, Hyundong Cho, Bill Yuchen Lin, Jay Pujara, Xiang Ren:
Probing Commonsense Explanation in Dialogue Response Generation. EMNLP (Findings) 2021: 4132-4146 - [c23]Qinyuan Ye, Bill Yuchen Lin, Xiang Ren:
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP. EMNLP (1) 2021: 7163-7189 - [c22]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: 7560-7579 - [c21]Bill Yuchen Lin, Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Xiang Ren, William W. Cohen:
Differentiable Open-Ended Commonsense Reasoning. NAACL-HLT 2021: 4611-4625 - [i22]Bill Yuchen Lin, Ziyi Wu, Yichi Yang, Dong-Ho Lee, Xiang Ren:
RiddleSense: Answering Riddle Questions as Commonsense Reasoning. CoRR abs/2101.00376 (2021) - [i21]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 abs/2104.08815 (2021) - [i20]Qinyuan Ye, Bill Yuchen Lin, Xiang Ren:
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP. CoRR abs/2104.08835 (2021) - [i19]Pei Zhou, Pegah Jandaghi, Bill Yuchen Lin, Justin Cho, Jay Pujara, Xiang Ren:
Probing Causal Common Sense in Dialogue Response Generation. CoRR abs/2104.09574 (2021) - [i18]Bill Yuchen Lin, Seyeon Lee, Xiaoyang Qiao, Xiang Ren:
Common Sense Beyond English: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning. CoRR abs/2106.06937 (2021) - [i17]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 abs/2109.04726 (2021) - [i16]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 abs/2109.05620 (2021) - [i15]Jun Yan, Yang Xiao, Sagnik Mukherjee, Bill Yuchen Lin, Robin Jia, Xiang Ren:
On the Robustness of Reading Comprehension Models to Entity Renaming. CoRR abs/2110.08555 (2021) - 2020
- [c20]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: 372-379 - [c19]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: 2134-2146 - [c18]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: 8503-8511 - [c17]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 - [c16]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: 1295-1309 - [c15]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: 1823-1840 - [c14]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: 6862-6868 - [c13]Bill Yuchen Lin, Ying Sheng, Nguyen Vo, Sandeep Tata:
FreeDOM: A Transferable Neural Architecture for Structured Information Extraction on Web Documents. KDD 2020: 1092-1102 - [c12]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: 2166-2176 - [i14]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 abs/2004.07493 (2020) - [i13]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 abs/2004.07499 (2020) - [i12]Yanlin Feng, Xinyue Chen, Bill Yuchen Lin, Peifeng Wang, Jun Yan, Xiang Ren:
Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering. CoRR abs/2005.00646 (2020) - [i11]Bill Yuchen Lin, Seyeon Lee, Rahul Khanna, Xiang Ren:
Birds have four legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-trained Language Models. CoRR abs/2005.00683 (2020) - [i10]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 abs/2005.00782 (2020) - [i9]Wenxuan Zhou, Bill Yuchen Lin, Xiang Ren:
IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization. CoRR abs/2005.02178 (2020) - [i8]Bill Yuchen Lin, Ying Sheng, Nguyen Vo, Sandeep Tata:
FreeDOM: A Transferable Neural Architecture for Structured Information Extraction on Web Documents. CoRR abs/2010.10755 (2020) - [i7]Bill Yuchen Lin, Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Xiang Ren, William W. Cohen:
Differentiable Open-Ended Commonsense Reasoning. CoRR abs/2010.14439 (2020) - [i6]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 abs/2011.07956 (2020)
2010 – 2019
- 2019
- [c11]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: 58-63 - [c10]Bill Yuchen Lin, Xinyue Chen, Jamin Chen, Xiang Ren:
KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning. EMNLP/IJCNLP (1) 2019: 2829-2839 - [i5]Bill Yuchen Lin, Xinyue Chen, Jamin Chen, Xiang Ren:
KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning. CoRR abs/1909.02151 (2019) - [i4]Ouyu Lan, Xiao Huang, Bill Yuchen Lin, He Jiang, Liyuan Liu, Xiang Ren:
Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling. CoRR abs/1910.04289 (2019) - [i3]Bill Yuchen Lin, Ming Shen, Yu Xing, Pei Zhou, Xiang Ren:
CommonGen: A Constrained Text Generation Dataset Towards Generative Commonsense Reasoning. CoRR abs/1911.03705 (2019) - 2018
- [c9]Bill Y. Lin, Frank F. Xu, Eve Q. Liao, Kenny Q. Zhu:
Transfer Learning for Traffic Speed Prediction: A Preliminary Study. AAAI Workshops 2018: 174-177 - [c8]Yaowei Huang, Jinghuan Shang, Bill Y. Lin, Luoyi Fu, Xinbing Wang:
Dynamic Detection of Communities and Their Evolutions in Temporal Social Networks. AAAI 2018: 8089-8090 - [c7]Frank F. Xu, Bill Y. Lin, Kenny Q. Zhu:
Automatic Extraction of Commonsense LocatedNear Knowledge. ACL (2) 2018: 96-101 - [c6]Bill Y. Lin, Frank F. Xu, Kenny Q. Zhu, Seung-won Hwang:
Mining Cross-Cultural Differences and Similarities in Social Media. ACL (1) 2018: 709-719 - [c5]Bill Yuchen Lin, Wei Lu:
Neural Adaptation Layers for Cross-domain Named Entity Recognition. EMNLP 2018: 2012-2022 - [c4]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: 3477-3486 - [i2]Bill Yuchen Lin, Wei Lu:
Neural Adaptation Layers for Cross-domain Named Entity Recognition. CoRR abs/1810.06368 (2018) - 2017
- [c3]Bill Y. Lin, Frank F. Xu, Zhiyi Luo, Kenny Q. Zhu:
Multi-channel BiLSTM-CRF Model for Emerging Named Entity Recognition in Social Media. NUT@EMNLP 2017: 160-165 - [c2]Frank F. Xu, Bill Y. Lin, Kenny Q. Zhu:
Commonsense LocatedNear Relation Extraction. AKBC@NIPS 2017 - [i1]Frank F. Xu, Bill Y. Lin, Kenny Q. Zhu:
Commonsense LocatedNear Relation Extraction. CoRR abs/1711.04204 (2017) - 2016
- [c1]Frank F. Xu, Bill Y. Lin, Qi Lu, Yifei Huang, Kenny Q. Zhu:
Cross-region traffic prediction for China on OpenStreetMap. IWCTS@SIGSPATIAL 2016: 37-42
Coauthor Index
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