Xiang Ren

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 294

Top Venues

Publications

Kaitlyn Zhou, Jena D. Hwang, Xiang Ren, Nouha Dziri, Dan Jurafsky, Maarten Sap
Rel-A.I.: An Interaction-Centered Approach To Measuring Human-LM Reliance. CoRR (2024)
Sahana Ramnath, Kartik Pandey, Elizabeth Boschee, Xiang Ren
CAVE: Controllable Authorship Verification Explanations. CoRR (2024)
Siyuan Wang, Zhongyu Wei, Yejin Choi, Xiang Ren
Can LLMs Reason with Rules? Logic Scaffolding for Stress-Testing and Improving LLMs. ACL (1) (2024)
Pei Zhou, Jay Pujara, Xiang Ren, Xinyun Chen, Heng-Tze Cheng, Quoc V. Le, Ed H. Chi, Denny Zhou, Swaroop Mishra, Huaixiu Steven Zheng
Self-Discover: Large Language Models Self-Compose Reasoning Structures. CoRR (2024)
Kaitlyn Zhou, Jena D. Hwang, Xiang Ren, Maarten Sap
Relying on the Unreliable: The Impact of Language Models' Reluctance to Express Uncertainty. ACL (1) (2024)
Xisen Jin, Xiang Ren
What Will My Model Forget? Forecasting Forgotten Examples in Language Model Refinement. CoRR (2024)
Soumya Sanyal, Tianyi Xiao, Jiacheng Liu, Wenya Wang, Xiang Ren
Are Machines Better at Complex Reasoning? Unveiling Human-Machine Inference Gaps in Entailment Verification. ACL (Findings) (2024)
Xisen Jin, Xiang Ren
Demystifying Forgetting in Language Model Fine-Tuning with Statistical Analysis of Example Associations. CoRR (2024)
Wenting Zhao, Xiang Ren, Jack Hessel, Claire Cardie, Yejin Choi, Yuntian Deng
WildChat: 1M ChatGPT Interaction Logs in the Wild. CoRR (2024)
Siyuan Wang, Zhongyu Wei, Yejin Choi, Xiang Ren
Can LLMs Reason with Rules? Logic Scaffolding for Stress-Testing and Improving LLMs. CoRR (2024)
Sahana Ramnath, Brihi Joshi, Skyler Hallinan, Ximing Lu, Liunian Harold Li, Aaron Chan, Jack Hessel, Yejin Choi, Xiang Ren
Tailoring Self-Rationalizers with Multi-Reward Distillation. ICLR (2024)
Linlu Qiu, Liwei Jiang, Ximing Lu, Melanie Sclar, Valentina Pyatkin, Chandra Bhagavatula, Bailin Wang, Yoon Kim, Yejin Choi, Nouha Dziri, Xiang Ren
Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement. ICLR (2024)
Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin, Jena D. Hwang, Xiang Lorraine Li, Hirona Jacqueline Arai, Soumya Sanyal, Keisuke Sakaguchi, Xiang Ren, Yejin Choi
PlaSma: Procedural Knowledge Models for Language-based Planning and Re-Planning. ICLR (2024)
Kaitlyn Zhou, Jena D. Hwang, Xiang Ren, Maarten Sap
Relying on the Unreliable: The Impact of Language Models' Reluctance to Express Uncertainty. CoRR (2024)
Matthew Finlayson, Xiang Ren, Swabha Swayamdipta
Logits of API-Protected LLMs Leak Proprietary Information. CoRR (2024)
Wenting Zhao, Xiang Ren, Jack Hessel, Claire Cardie, Yejin Choi, Yuntian Deng
WildChat: 1M ChatGPT Interaction Logs in the Wild. ICLR (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)
Hanjie Chen, Faeze Brahman, Xiang Ren, Yangfeng Ji, Yejin Choi, Swabha Swayamdipta
REV: Information-Theoretic Evaluation of Free-Text Rationales. ACL (1) (2023)
Daniel M. Benjamin, Fred Morstatter, Ali E. Abbas, Andrés Abeliuk, Pavel Atanasov, Stephen Bennett, Andreas Beger, Saurabh Birari, David V. Budescu, Michele Catasta, Emilio Ferrara, Lucas Haravitch, Mark Himmelstein, K. S. M. Tozammel Hossain, Yuzhong Huang, Woojeong Jin, Regina Joseph, Jure Leskovec, Akira Matsui, Mehrnoosh Mirtaheri, Xiang Ren, Gleb Satyukov, Rajiv Sethi, Amandeep Singh, Rok Sosic, Mark Steyvers, Pedro A. Szekely, Michael D. Ward, Aram Galstyan
. AI Mag. 44 (1) (2023)
Soumya Sanyal, Yichong Xu, Shuohang Wang, Ziyi Yang, Reid Pryzant, Wenhao Yu, Chenguang Zhu, Xiang Ren
APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning. ACL (1) (2023)
Brihi Joshi, Ziyi Liu, Sahana Ramnath, Aaron Chan, Zhewei Tong, Shaoliang Nie, Qifan Wang, Yejin Choi, Xiang Ren
Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-text Rationales. ACL (1) (2023)
Peifeng Wang, Zhengyang Wang, Zheng Li, Yifan Gao, Bing Yin, Xiang Ren
SCOTT: Self-Consistent Chain-of-Thought Distillation. 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)
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)
Sahana Ramnath, Brihi Joshi, Skyler Hallinan, Ximing Lu, Liunian Harold Li, Aaron Chan, Jack Hessel, Yejin Choi, Xiang Ren
Tailoring Self-Rationalizers with Multi-Reward Distillation. CoRR (2023)
Ximing Lu, Faeze Brahman, Peter West, Jaehun Jung, Khyathi Chandu, Abhilasha Ravichander, Prithviraj Ammanabrolu, Liwei Jiang, Sahana Ramnath, Nouha Dziri, Jillian Fisher, Bill Lin, Skyler Hallinan, Lianhui Qin, Xiang Ren, Sean Welleck, Yejin Choi
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning. EMNLP (2023)
Dongfu Jiang, Xiang Ren, Bill Yuchen Lin
LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion. ACL (1) (2023)
Dong-Ho Lee, Akshen Kadakia, Brihi Joshi, Aaron Chan, Ziyi Liu, Kiran Narahari, Takashi Shibuya, Ryosuke Mitani, Toshiyuki Sekiya, Jay Pujara, Xiang Ren
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models. ACL (demo) (2023)
Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin, Jena D. Hwang, Xiang Lorraine Li, Hirona J. Arai, Soumya Sanyal, Keisuke Sakaguchi, Xiang Ren, Yejin Choi
PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) Planning. CoRR (2023)
Pei Zhou, Andrew Zhu, Jennifer Hu, Jay Pujara, Xiang Ren, Chris Callison-Burch, Yejin Choi, Prithviraj Ammanabrolu
I Cast Detect Thoughts: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons. ACL (1) (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)
Linlu Qiu, Liwei Jiang, Ximing Lu, Melanie Sclar, Valentina Pyatkin, Chandra Bhagavatula, Bailin Wang, Yoon Kim, Yejin Choi, Nouha Dziri, Xiang Ren
Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement. CoRR (2023)
Peifeng Wang, Aaron Chan, Filip Ilievski, Muhao Chen, Xiang Ren
PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales. ICLR (2023)
Xisen Jin, Xiang Ren, Daniel Preotiuc-Pietro, Pengxiang Cheng
Dataless Knowledge Fusion by Merging Weights of Language Models. ICLR (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)
Tian Xie, Chaoyang He, Xiang Ren, Cyrus Shahabi, C.-C. Jay Kuo
L-BGNN: Layerwise Trained Bipartite Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Huihan Li, Yuting Ning, Zeyi Liao, Siyuan Wang, Xiang Lorraine Li, Ximing Lu, Faeze Brahman, Wenting Zhao, Yejin Choi, Xiang Ren
In Search of the Long-Tail: Systematic Generation of Long-Tail Knowledge via Logical Rule Guided Search. 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)
Jun Yan, Vansh Gupta, Xiang Ren
BITE: Textual Backdoor Attacks with Iterative Trigger Injection. ACL (1) (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)
Brihi Joshi, Ziyi Liu, Sahana Ramnath, Aaron Chan, Zhewei Tong, Shaoliang Nie, Qifan Wang, Yejin Choi, Xiang Ren
Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-Text Rationales. CoRR (2023)
Meryem M'hamdi, Xiang Ren, Jonathan May
Cross-lingual Continual Learning. ACL (1) (2023)
Peifang Wang, Olga Golovneva, Armen Aghajanyan, Xiang Ren, Muhao Chen, Asli Celikyilmaz, Maryam Fazel-Zarandi
DOMINO: A Dual-System for Multi-step Visual Language Reasoning. CoRR (2023)
Woojeong Jin, Subhabrata Mukherjee, Yu Cheng, Yelong Shen, Weizhu Chen, Ahmed Hassan Awadallah, Damien Jose, Xiang Ren
GRILL: Grounded Vision-language Pre-training via Aligning Text and Image Regions. CoRR (2023)
Pei Zhou, Aman Madaan, Srividya Pranavi Potharaju, Aditya Gupta, Kevin R. McKee, Ari Holtzman, Jay Pujara, Xiang Ren, Swaroop Mishra, Aida Nematzadeh, Shyam Upadhyay, Manaal Faruqui
How FaR Are Large Language Models From Agents with Theory-of-Mind? CoRR (2023)
Brihi Joshi, Aaron Chan, Ziyi Liu, Shaoliang Nie, Maziar Sanjabi, Hamed Firooz, Xiang Ren
ER-TEST: Evaluating Explanation Regularization Methods for NLP Models. CoRR (2022)
Woojeong Jin, Yu Cheng, Yelong Shen, Weizhu Chen, Xiang Ren
A Good Prompt Is Worth Millions of Parameters: Low-resource Prompt-based Learning for Vision-Language Models. ACL (1) (2022)
Meryem M'hamdi, Xiang Ren, Jonathan May
Cross-lingual Lifelong Learning. CoRR (2022)
Aaron Chan, Maziar Sanjabi, Lambert Mathias, Liang Tan, Shaoliang Nie, Xiaochang Peng, Xiang Ren, Hamed Firooz
UNIREX: A Unified Learning Framework for Language Model Rationale Extraction. ICML (2022)
Peifeng Wang, Aaron Chan, Filip Ilievski, Muhao Chen, Xiang Ren
PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales. CoRR (2022)
Woojeong Jin, Dong-Ho Lee, Chenguang Zhu, Jay Pujara, Xiang Ren
Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-Modal Knowledge Transfer. ACL (1) (2022)
Soumya Sanyal, Yichong Xu, Shuohang Wang, Ziyi Yang, Reid Pryzant, Wenhao Yu, Chenguang Zhu, Xiang Ren
APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning. CoRR (2022)
Xisen Jin, Dejiao Zhang, Henghui Zhu, Wei Xiao, Shang-Wen Li, Xiaokai Wei, Andrew O. Arnold, Xiang Ren
Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora. NAACL-HLT (2022)
Soumya Sanyal, Harman Singh, Xiang Ren
FaiRR: Faithful and Robust Deductive Reasoning over Natural Language. ACL (1) (2022)
Pei Zhou, Karthik Gopalakrishnan, Behnam Hedayatnia, Seokhwan Kim, Jay Pujara, Xiang Ren, Yang Liu, Dilek Hakkani-Tur
Think Before You Speak: Explicitly Generating Implicit Commonsense Knowledge for Response Generation. ACL (1) (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)
Soumya Sanyal, Harman Singh, Xiang Ren
FaiRR: Faithful and Robust Deductive Reasoning over Natural Language. CoRR (2022)
Peifeng Wang, Jonathan Zamora, Junfeng Liu, Filip Ilievski, Muhao Chen, Xiang Ren
Contextualized Scene Imagination for Generative Commonsense Reasoning. ICLR (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)
Kexuan Sun, Zhiqiang Qiu, Abel Salinas, Yuzhong Huang, Dong-Ho Lee, Daniel Benjamin, Fred Morstatter, Xiang Ren, Kristina Lerman, Jay Pujara
Assessing Scientific Research Papers with Knowledge Graphs. SIGIR (2022)
Dong-Ho Lee, Akshen Kadakia, Brihi Joshi, Aaron Chan, Ziyi Liu, Kiran Narahari, Takashi Shibuya, Ryosuke Mitani, Toshiyuki Sekiya, Jay Pujara, Xiang Ren
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models. CoRR (2022)
Chenguang Zhu, Yichong Xu, Xiang Ren, Bill Y. Lin, Meng Jiang, Wenhao Yu
Knowledge-Augmented Methods for Natural Language Processing. ACL (tutorial) (2022)
Soumya Sanyal, Zeyi Liao, Xiang Ren
RobustLR: A Diagnostic Benchmark for Evaluating Logical Robustness of Deductive Reasoners. EMNLP (2022)
Woojeong Jin, Dong-Ho Lee, Chenguang Zhu, Jay Pujara, Xiang Ren
Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-modal Knowledge Transfer. CoRR (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)
Hanjie Chen, Faeze Brahman, Xiang Ren, Yangfeng Ji, Yejin Choi, Swabha Swayamdipta
REV: Information-Theoretic Evaluation of Free-Text Rationales. CoRR (2022)
Dong-Ho Lee, Akshen Kadakia, Kangmin Tan, Mahak Agarwal, Xinyu Feng, Takashi Shibuya, Ryosuke Mitani, Toshiyuki Sekiya, Jay Pujara, Xiang Ren
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER. ACL (1) (2022)
Aaron Chan, Shaoliang Nie, Liang Tan, Xiaochang Peng, Hamed Firooz, Maziar Sanjabi, Xiang Ren
FRAME: Evaluating Simulatability Metrics for Free-Text Rationales. CoRR (2022)
Aaron Chan, Zhiyuan Zeng, Wyatt Lake, Brihi Joshi, Hanjie Chen, Xiang Ren
KNIFE: Knowledge Distillation with Free-Text Rationales. CoRR (2022)
Brihi Joshi, Aaron Chan, Ziyi Liu, Shaoliang Nie, Maziar Sanjabi, Hamed Firooz, Xiang Ren
ER-Test: Evaluating Explanation Regularization Methods for Language Models. EMNLP (Findings) (2022)
Soumya Sanyal, Zeyi Liao, Xiang Ren
RobustLR: Evaluating Robustness to Logical Perturbation in Deductive Reasoning. CoRR (2022)
Jacob Bremerman, Xiang Ren, Jonathan May
Machine Translation Robustness to Natural Asemantic Variation. EMNLP (2022)
Soumya Sanyal, Xiang Ren
Discretized Integrated Gradients for Explaining Language Models. CoRR (2021)
Woojeong Jin, Maziar Sanjabi, Shaoliang Nie, Liang Tan, Xiang Ren, Hamed Firooz
Modality-specific Distillation. CoRR (2021)
Pei Zhou, Karthik Gopalakrishnan, Behnam Hedayatnia, Seokhwan Kim, Jay Pujara, Xiang Ren, Yang Liu, Dilek Hakkani-Tur
Commonsense-Focused Dialogues for Response Generation: An Empirical Study. CoRR (2021)
Pei Zhou, Karthik Gopalakrishnan, Behnam Hedayatnia, Seokhwan Kim, Jay Pujara, Xiang Ren, Yang Liu, Dilek Hakkani-Tur
Think Before You Speak: Using Self-talk to Generate Implicit Commonsense Knowledge for Response Generation. CoRR (2021)
Huihan Yao, Ying Chen, Qinyuan Ye, Xisen Jin, Xiang Ren
Refining Neural Networks with Compositional Explanations. CoRR (2021)
Ninareh Mehrabi, Pei Zhou, Fred Morstatter, Jay Pujara, Xiang Ren, Aram Galstyan
Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources. CoRR (2021)
Ninareh Mehrabi, Pei Zhou, Fred Morstatter, Jay Pujara, Xiang Ren, Aram Galstyan
Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources. EMNLP (1) (2021)
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)
Meryem M'hamdi, Doo Soon Kim, Franck Dernoncourt, Trung Bui, Xiang Ren, Jonathan May
X-METRA-ADA: Cross-lingual Meta-Transfer Learning Adaptation to Natural Language Understanding and Question Answering. CoRR (2021)
Xisen Jin, Dejiao Zhang, Henghui Zhu, Wei Xiao, Shang-Wen Li, Xiaokai Wei, Andrew O. Arnold, Xiang Ren
Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora. CoRR (2021)
Soumya Sanyal, Xiang Ren
Discretized Integrated Gradients for Explaining Language Models. EMNLP (1) (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)
Dong-Ho Lee, Mahak Agarwal, Akshen Kadakia, Jay Pujara, Xiang Ren
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER. CoRR (2021)
Pei Zhou, Karthik Gopalakrishnan, Behnam Hedayatnia, Seokhwan Kim, Jay Pujara, Xiang Ren, Yang Liu, Dilek Hakkani-Tür
Commonsense-Focused Dialogues for Response Generation: An Empirical Study. SIGDIAL (2021)
Qinyuan Ye, Xiang Ren
Zero-shot Learning by Generating Task-specific Adapters. 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)
Mozhdeh Gheini, Xiang Ren, Jonathan May
Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation. EMNLP (1) (2021)
Qinyuan Ye, Xiang Ren
Learning to Generate Task-Specific Adapters from Task Description. ACL/IJCNLP (2) (2021)
Aida Mostafazadeh Davani, Ali Omrani, Brendan Kennedy, Mohammad Atari, Xiang Ren, Morteza Dehghani
Improving Counterfactual Generation for Fair Hate Speech Detection. 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)
Wangchunshu Zhou, Dong-Ho Lee, Ravi Kiran Selvam, Seyeon Lee, Xiang Ren
Pre-training Text-to-Text Transformers for Concept-centric Common Sense. ICLR (2021)

Xiang Ren.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Xiang Ren