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Publications

Non-Archival Tech Reports

1. Unsupervised Cross-Task Generalization via Retrieval Augmentation
   ✍️　Bill Yuchen Lin, Kangmin Tan, Chris Miller, Beiwen Tian, Xiang Ren
   🏢　arXiv preprints. Will present at SpaNLP and NL-Supervision Workshops at ACL 2022.
    [📃 Project Page]  [💾 Github] [🖼️ Slides]  [🎦 Video]

2. 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
   🏢　arXiv preprints. Presented at TrustNLP @ NAACL 2021 (best paper award)

2022

1. 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
   🏢　(to appear) in Proc. of ACL 2022
    [📃 Project Page]  [💾 Github] [🖼️ Slides]  [🎦 Video]

2. FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks
   ✍️　Bill Yuchen Lin*, Chaoyang He*, Zihang Zeng, Hulin Wang, Yufen Huang, Mahdi Soltanolkotabi, Xiang Ren*, Salman Avestimehr*
   [💾 Github]
   🏢　(to appear) in Proc. of NAACL 2022 Findings

3. On the Robustness of Reading Comprehension Models to Entity Renaming
   ✍️　Jun Yan, Yang Xiao, Sagnik Mukherjee, Bill Yuchen Lin, Robin Jia, Xiang Ren
   🏢　(to appear) in Proc. of NAACL 2022

2021

1. CrossFit: A Few-shot Learning Challenge for Cross-Task Generalization in NLP
   ✍️　Qinyuan Ye, Bill Yuchen Lin, Xiang Ren
   🏢　in Proc. of EMNLP 2021
   [💾 Github]

2. Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning
   ✍️　Xisen Jin, Bill Yuchen Lin, Mohammad Rostami, Xiang Ren
   🏢　in Proc. of EMNLP 2021 Findings
   [💾 Github]

3. RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of NER Models
   ✍️　Bill Yuchen Lin, Wenyang Gao, Jun Yan, Ryan Moreno, Xiang Ren
   🏢　in Proc. of EMNLP 2021 (short)
    [📃 Project Page]

4. RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms
   ✍️　Pei Zhou, Rahul Khanna, Seyeon Lee, Bill Yuchen Lin, Daniel Ho, Jay Pujara, Xiang Ren
   🏢　in Proc. of EMNLP 2021
    [📃 Project Page]

5. Probing Commonsense Explanation in Dialogue Response Generation
   ✍️　Pei Zhou, Pegah Jandaghi, Hyundong Cho, Bill Yuchen Lin, Jay Pujara, Xiang Ren
   🏢　in Proc. of EMNLP 2021 Findings

6. Common Sense Beyond English: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning
   ✍️　Bill Yuchen Lin, Seyeon Lee, Xiaoyang Qiao, Xiang Ren
   🏢　in Proc. of ACL 2021
   [💾 Github]   [📃 Project Page]

7. RiddleSense: Reasoning about Riddle Questions Featuring Linguistic Creativity and Commonsense Knowledge
   ✍️　Bill Yuchen Lin, Ziyi Wu, Yichi Yang, Dong-Ho Lee, Xiang Ren
   🏢　in Proc. of ACL 2021 Findings
   [💾 Github]   [📃 Project Page]

8. Differentiable Open-Ended Commonsense Reasoning
   ✍️　Bill Yuchen Lin, Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Xiang Ren, William W. Cohen
   🏢　in Proc. of NAACL 2021
   [🖼️ Slides]   [🎦 Video]   [💾 Github]   [📃 Project Page]

9. 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
   🏢　in Proc. of ICLR 2021  
   [💾 Github]

10. IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization
    ✍️　Wenxuan Zhou, Bill Yuchen Lin, Xiang Ren
    🏢　in Proc. of AAAI 2021

2020

1. CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning
   ✍️　Bill Yuchen Lin, Wangchunshu Zhou, Ming Shen, Pei Zhou, Chandra Bhagavatula, Yejin Choi, Xiang Ren
   🏢　in Proc. of EMNLP 2020 Findings    (presented at AKBC 2020 as a non-archival paper.)
   [📃 Project Page]
   Media coverage : The Register , Tech Xplore , Techzine , Radio.com , ScienceDaily , USC Viterbi

2. Birds have four legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-trained Language Models
   ✍️　Bill Yuchen Lin, Seyeon Lee, Rahul Khanna, Xiang Ren
   🏢　in Proc. of EMNLP 2020 (short)
   [📃 Project Page]

3. Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering
   ✍️　Yanlin Feng*, Xinyue Chen*, Bill Yuchen Lin, Peifeng Wang, Jun Yan, Xiang Ren
   🏢　in Proc. of EMNLP 2020
   [💾 Github]

4. FreeDOM: A Transferable Neural Architecture for Structured Information Extraction on Web Documents
   ✍️　Bill Yuchen Lin, Ying Sheng, Nguyen Vo and Sandeep Tata
   🏢　in Proc. of KDD 2020 (Research Track)
   [🖼️ Slides] [🎦 Video]

5. TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition
   ✍️　Bill Yuchen Lin*, Dongho Lee*, Ming Shen, Ryan Moreno, Xiao Huang, Prashant Shiralkar, Xiang Ren
   🏢　in Proc. of ACL 2020 (short)
   [🖼️ Slides]   [🎦 Video]   [💾 Github]   [📃 Project Page]

6. Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling.
   ✍️　Ouyu Lan, Xiao Huang, Bill Yuchen Lin, He Jiang, Liyuan Liu, Xiang Ren
   🏢　in Proc. of ACL 2020
   [💾 Github]

7. 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
   🏢　in Proc. of ACL 2020 (Demo Track)
   [📃 Project Page]

8. 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
   🏢　in Proc. of TheWebConf (WWW) 2020
   Best Paper Runner-up (2/1500+)    [💾 Github]

2019

1. KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning.
   ✍️　Bill Yuchen Lin, Xinyue Chen, Jamin Chen, Xiang Ren
   🏢　in Proc. of EMNLP-IJCNLP 2019
   [💾 Github]
2. AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging.
   ✍️　Bill Yuchen Lin*, Dongho Lee*, Frank F. Xu, Ouyu Lan, Xiang Ren
   🏢　in Proc. of ACL 2019 (Demo Track)
   [📃 Project Page]

2018

1. Neural Adaptation Layers for Cross-domain Named Entity Recognition.
   ✍️　Bill Yuchen Lin, Wei Lu
   🏢　in Proc. of EMNLP 2018
   [💾 Github]
2. ExtRA: Extracting Prominent Review Aspects from Customer Feedback.
   ✍️　Zhiyi Luo, Shanshan Huang, Frank F. Xu, Bill Yuchen Lin, Hanyuan Shi, Kenny Q. Zhu
   🏢　in Proc. of EMNLP 2018
   [💾 Github]
3. Mining Cross-Cultural Differences and Similarities in Social Media.
   ✍️　Bill Yuchen Lin*, Frank F. Xu*, Kenny Q. Zhu, Seung-won Hwang
   🏢　in Proc. of ACL 2018
   [💾 Github]
4. Automatic Extraction of Commonsense LocatedNear Knowledge.
   ✍️　Frank F. Xu*, Bill Yuchen Lin*, Kenny Q. Zhu
   🏢　in Proc. of ACL 2018 (short)
   [💾 Github]

2017

1. Multi-channel BiLSTM-CRF Model for Emerging Named Entity Recognition in Social Media.
   ✍️　Bill Y. Lin*, Frank F. Xu*, Zhiyi Luo, Kenny Q. Zhu
   🏢　in Proc. of EMNLP 2017, Workshop on Noisy User-generated Text
   [💾 Github]

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