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<!DOCTYPE HTML>
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<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2212.09721" target="_blank">
<b>KNIFE</b>: Knowledge Distillation with Free-Text Rationales
</a>
<br>Aaron Chan, Zhiyuan Zeng, Wyatt Lake, Brihi Joshi, Hanjie Chen, Xiang Ren<br />
on ArXiv<br>
<!-- <a class="icon code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="KNIFE: Knowledge Distillation with Free-Text Rationales"
venue="ArXiv" year="preprint" /> </p>
</li>
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<br>
<br>
<h4>2023</h4>
<li>
<p>
<a class="pub_title" href="https://doi.org/10.1177/00031224231166955" target="_blank">
How New Ideas Diffuse in Science</a>
<br>Mengjie Cheng, Daniel Scott Smith, Xiang Ren, Hancheng Cao, Sanne Smith, Daniel McFarland<br />
<b class="conf_name">American Sociological Review</b> 2023 <br>
<!-- <a class="icon code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="How New Ideas Diffuse in Science"
venue="American Sociological Review" year="2023" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="" target="_blank">
Self-Consistent Chain-of-Thought Distillation</a>
<br>Peifeng Wang, Zhengyang Wang, Zheng Li, Yifan Gao, Bing Yin, Xiang Ren<br />
<b class="conf_name">ACL</b> 2023 <br>
<!-- <a class="icon code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="Self-Consistent Chain-of-Thought Distillation"
venue="ACL" year="2023" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://openreview.net/forum?id=h-aJ39Z3Tc" target="_blank">
Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-text Rationales</a>
<br>Brihi Joshi, Ziyi Liu, Sahana Ramnath, Aaron Chan, Zhewei Tong, Shaoliang Nie, Qifan Wang, Yejin Choi, Xiang Ren<br />
<b class="conf_name">ACL</b> 2023 <br>
<!-- <a class="icon code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="Measuring the Human Utility of Free-Text Rationales in Human-AI Collaboration"
venue="ACL" year="2023" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://openreview.net/forum?id=7tO_uDjYyv" target="_blank">
FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning</a>
<br>Qinyuan Ye, Iz Beltagy, Matthew E. Peters, Xiang Ren, Hannaneh Hajishirzi<br />
<b class="conf_name">ACL</b> 2023 <br>
<!-- <a class="icon code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning"
venue="ACL" year="2023" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="" target="_blank">
Symbolic Chain-of-Thought Distillation: Small Models Can Also "Think" Step-by-Step</a>
<br>Liunian Harold Li, Jack Hessel, Youngjae Yu, Xiang Ren, Kai-Wei Chang and Yejin Choi<br />
<b class="conf_name">ACL</b> 2023 <br>
<!-- <a class="icon code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="Symbolic Chain-of-Thought Distillation: Small Models Can Also Think Step-by-Step"
venue="ACL" year="2023" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2211.15718" target="_blank">
<b>CoNAL</b>: Anticipating Outliers with Large Language Models</a>
<br>Albert Xu, Xiang Ren, Robin Jia<br />
<b class="conf_name">ACL</b> 2023 <br>
<!-- <a class="icon code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="CoNAL: Anticipating Outliers with Large Language Models"
venue="ACL" year="2023" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2212.10555" target="_blank">
<b>PairReranker</b>: Pairwise Learning to Rank for Decoding Language Models</a>
<br>Dongfu Jiang, Xiang Ren, Bill Yuchen Lin<br />
<b class="conf_name">ACL</b> 2023 <br>
<!-- <a class="icon code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="PairReranker: Pairwise Learning to Rank for Decoding Language Models"
venue="ACL" year="2023" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2212.09282" target="_blank">
<b>APOLLO</b>: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning
</a>
<br>Soumya Sanyal, Yichong Xu, Shuohang Wang, Ziyi Yang, Reid Pryzant, Wenhao Yu, Chenguang Zhu, Xiang Ren<br />
<b class="conf_name">ACL</b> 2023 <br>
<!-- <a class="icon code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning"
venue="ACL" year="2023" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2205.12700" target="_blank">
<b>REV</b>: Information-Theoretic Evaluation of Free-Text Rationales</a>
<br>Hanjie Chen, Faeze Brahman, Xiang Ren, Yangfeng Ji, Yejin Choi, Swabha Swayamdipta<br />
<b class="conf_name">ACL</b> 2023 <br>
<!-- <a class="icon code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="REV: Information-Theoretic Evaluation of Free-Text Rationales"
venue="ACL" year="2023" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2205.12700" target="_blank">
Textual Backdoor Attacks with Iterative Trigger Injection</a>
<br>Jun Yan, Vansh Gupta, Xiang Ren<br />
<b class="conf_name">ACL</b> 2023 <br>
<!-- <a class="icon code label label-info" href="https://github.com/INK-USC/data-poisoning"
target="_blank">Github</a> -->
<meta title="Textual Backdoor Attacks with Iterative Trigger Injection"
venue="ACL" year="2023" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2205.11152" target="_blank">
Cross-lingual Lifelong Learning</a>
<br>Meryem M'hamdi, Xiang Ren, Jonathan May<br />
<b class="conf_name">ACL</b> 2023 <br>
<!-- <a class="icon code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="Cross-lingual Lifelong Learning"
venue="ACL" year="2023" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2212.10060" target="_blank">
An AI Dungeon Master's Guide: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons</a>
<br>Pei Zhou, Andrew Zhu, Jennifer Hu, Jay Pujara, Xiang Ren, Chris Callison-Burch, Yejin Choi, Prithviraj Ammanabrolu<br />
<b class="conf_name">ACL</b> 2023 <br>
<!-- <a class="icon code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="An AI Dungeon Master's Guide: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons"
venue="ACL" year="2023" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2212.09849" target="_blank">
Dataless Knowledge Fusion by Merging Weights of Language Models</a>
<br>Xisen Jin, Xiang Ren, Daniel Preotiuc-Pietro, Pengxiang Cheng<br />
<b class="conf_name">ICLR</b> 2023<br>
<!-- <a class="icon code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="Dataless Knowledge Fusion by Merging Weights of Language Models"
venue="ICLR" year="2023" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2211.01562" target="_blank">
<b>PINTO</b>: Faithful Language Reasoning Using Prompt-Generated Rationales</a>
<br>Peifeng Wang, Aaron Chan, Filip Ilievski, Muhao Chen, Xiang Ren<br />
<b class="conf_name">ICLR</b> 2023<br>
<!-- <a class="icon code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales"
venue="ICLR" year="2023" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2211.01562" target="_blank">
On Grounded Planning for Embodied Tasks with Language Models</a>
<br>Bill Yuchen Lin, Chengsong Huang, Qian Liu, Wenda Gu, Sam Sommerer, Xiang Ren<br />
<b class="conf_name">AAAI</b> 2023 <br>
<!-- <a class="icon code label label-info" href="https://github.com/wangpf3/imagine-and-verbalize" target="_blank">Github</a> -->
<meta title="On Grounded Planning for Embodied Tasks with Language Models"
venue="AAAI" year="2023" />
</p>
</li>
</div>
<br>
<br>
<div class="content">
<br>
<br>
<h4>2022</h4>
<ul>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2204.07937" target="_blank">
Unsupervised Cross-Task Generalization via Retrieval Augmentation</a>
<br>Bill Yuchen Lin, Kangmin Tan, Chris Miller, Beiwen Tian, Xiang Ren<br />
<b class="conf_name">NeurIPS</b> 2022<br>
<a class="button pub code label label-info" href="https://inklab.usc.edu/ReCross/"
target="_blank">Project Website</a>
<meta title="Unsupervised Cross-Task Generalization via Retrieval Augmentation"
venue="NeurIPS" year="2022" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2205.10674" target="_blank">
<i>NS3</i>: Neuro-Symbolic Semantic Code Search</a>
<br>Shushan Arakelyan, Anna Hakhverdyan, Miltiadis Allamanis, Christophe Hauser, Luis Antonio Garcia, Xiang Ren<br />
<b class="conf_name">NeurIPS</b> 2022<br>
(Also a <font color="red"><b>Spotlight</b></font> at ICLR 2022 Deep Learning for Code Workshop)<br>
<!-- <a class="button pub code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="NS3: Neuro-Symbolic Semantic Code Search"
venue="NeurIPS" year="2022" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2112.08802" target="_blank">
<b>UniREx</b>: A Unified Learning Framework for Language Model Rationale Extraction</a>
<br>Aaron Chan, Maziar Sanjabi, Lambert Mathias, Liang Tan, Shaoliang Nie, Xiaochang Peng, Xiang Ren, Hamed Firooz
<br /> <b class="conf_name">ICML</b> 2022 <br>
(Also at ICLR Workshop on Socially Responsible Machine Learning & ACL Workshop on BigScience) <br>
<a class="button pub code label label-info" href=""
target="_blank">Github</a> (coming soon)
<meta title="UniREx: A Unified Learning Framework for Language Model Rationale Extraction"
venue="ICML" year="2022" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2205.12701" target="_blank">
Eliciting Transferability in Multi-task Learning with Task-level Mixture-of-Experts</a>
<br>Qinyuan Ye, Juan Zha, Xiang Ren<br />
<b class="conf_name">Findings of EMNLP</b> 2022 <br>
<!-- <a class="icon code label label-info" href="https://github.com/INK-USC/CrossTaskMoE"
target="_blank">Github</a> -->
<meta title="Eliciting Transferability in Multi-task Learning with Task-level Mixture-of-Experts"
venue="EMNLP" year="2022" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2205.12598" target="_blank">
<b>RobustLR</b>: Evaluating Robustness to Logical Perturbation in Deductive Reasoning</a>
<br>Soumya Sanyal, Zeyi Liao, Xiang Ren<br />
<b class="conf_name">EMNLP</b> 2022 <br>
<a class="button pub code label label-info" href="https://github.com/INK-USC/RobustLR"
target="_blank">Github</a>
<meta title="ERobustLR: Evaluating Robustness to Logical Perturbation in Deductive Reasoning"
venue="EMNLP" year="2022" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2205.12542" target="_blank">
<b>ER-Test</b>: Evaluating Explanation Regularization Methods for NLP Models</a>
<br>Brihi Joshi, Aaron Chan, Ziyi Liu, Shaoliang Nie, Maziar Sanjabi, Hamed Firooz, Xiang Ren<br />
<b class="conf_name">Findings of EMNLP</b> 2022 <br>
<a class="button pub code label label-info" href="https://github.com/INK-USC/er-test"
target="_blank">Github</a>
<meta title="ER-Test: Evaluating Explanation Regularization Methods for NLP Models"
venue="EMNLP" year="2022" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2211.09267" target="_blank">
Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality</a>
<br>Pei Zhou, Hyundong J. Cho, Pegah Jandaghi, Dong-Ho Lee, Bill Yuchen Lin, Jay Pujara, Xiang Ren<br />
<b class="conf_name">EMNLP</b> 2022 <br>
<a class="button pub code label label-info" href="https://inklab.usc.edu/Reflect/"
target="_blank">Project</a>
<meta title="Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality"
venue="EMNLP" year="2022" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2205.12514" target="_blank">
Machine Translation Robustness to Natural Asemantic Variation</a>
<br>Jacob Bremerman, Xiang Ren, Jonathan May<br />
<b class="conf_name">EMNLP</b> 2022 <br>
<!-- <a class="icon code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="Machine Translation Robustness to Natural Asemantic Variation"
venue="EMNLP" year="2022" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2110.08534" target="_blank">
<i>Lifelong Pretraining</i>: Continually Adapting Language Models to Emerging Corpora</a>
<br>Xisen Jin, Dejiao Zhang, Henghui Zhu, Wei Xiao, Shang-Wen Li, Xiaokai Wei, Andrew Arnold, Xiang Ren
<br /> <b class="conf_name">NAACL</b> 2022 <br>
(also at ACL 2022 Workshop BigScience) <br>
<meta title="Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora"
venue="NAACL" year="2022" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2110.08536" target="_blank">
<b>Sparse Distillation</b>: Speeding Up Text Classification by Using Bigger Models</a>
<br>Qinyuan Ye, Madian Khabsa, Mike Lewis, Sinong Wang, Xiang Ren, Aaron Jaech
<br /> <b class="conf_name">NAACL</b> 2022 <br>
<!-- <a class="button pub code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="Sparse Distillation: Speeding Up Text Classification by Using Bigger Models"
venue="NAACL" year="2022" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2104.08815" target="_blank">
<b>FedNLP</b>: A Research Platform for Federated Learning in Natural Language Processing</a>
<br>Bill Yuchen Lin, Chaoyang He, Zihang Zeng, Hulin Wang, Yufen Huang, Mahdi Soltanolkotabi, Xiang Ren, Salman Avestimehr
<br /> <b class="conf_name">Findings of NAACL</b> 2022 <br>
<a class="button pub code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a>
<meta title="FedNLP: A Research Platform for Federated Learning in Natural Language Processing"
venue="NAACL" year="2022" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2110.08555" target="_blank">
On the Robustness of Reading Comprehension Models to Entity Renaming</a>
<br>Jun Yan, Yang Xiao, Sagnik Mukherjee, Bill Yuchen Lin, Robin Jia, Xiang Ren<br />
<b class="conf_name">NAACL</b> 2022<br>
<a class="button pub code label label-info" href="https://github.com/INK-USC/entity-robustness"
target="_blank">Github</a>
<meta title="On the Robustness of Reading Comprehension Models to Entity Renaming"
venue="NAACL" year="2022" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2110.08555" target="_blank">
<b>NewsEdits</b>: A Dataset of News Article Revision Histories and a Novel Document-Level Reasoning Challenge</a>
<br>Alexander Spangher, Xiang Ren, Jonathan May, Nanyun Peng<br />
<b class="conf_name">NAACL</b> 2022<br>
<font color="red">
<b>Outstanding Paper Award</b></font>
<a class="button pub code label label-info" href="https://github.com/isi-nlp/NewsEdits" target="_blank">Github</a>
<meta title="NewsEdits: A Dataset of News Article Revision Histories and a Novel Document-Level Reasoning Challenge"
venue="NAACL" year="2022" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2203.10261" target="_blank">
<b>FaiRR</b>: Faithful and Robust Deductive Reasoning over Natural Language
</a>
<br>Soumya Sanyal, Harman Singh, Xiang Ren<br />
<b class="conf_name">ACL</b> 2022 <br>
<a class="button pub code label label-info" href="https://github.com/INK-USC/FaiRR"
target="_blank">Github</a>
<meta title="CausalR: Causal Reasoning over Natural Language Rulebases"
venue="ACL" year="2022" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2110.08484" target="_blank">
<i>A Good Prompt Is Worth Millions of Parameters?</i>: Low-resource Prompt-based Learning for Vision-Language Models</a>
<br>Woojeong Jin, Yu Cheng, Yelong Shen, Weizhu Chen, Xiang Ren<br />
<b class="conf_name">ACL</b> 2022 <br>
<a class="button pub code label label-info" href="https://github.com/woojeongjin/FewVLM"
target="_blank">Github</a>
<meta title="A Good Prompt Is Worth Millions of Parameters? Low-resource Prompt-based Learning for Vision-Language Models"
venue="ACL" year="2022" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2205.02014" target="_blank">
On Continual Model Refinement in Out-of-Distribution Data Streams</a>
<br>Bill Yuchen Lin, Sida Wang, Xi Victoria Lin, Robin Jia, Lin Xiao, Xiang Ren, Scott Yih<br />
<b class="conf_name">ACL</b> 2022 <br>
<a class="button pub code label label-info" href="https://cmr-nlp.github.io/"
target="_blank">Project website</a>
<meta title="On Continual Model Refinement in Out-of-Distribution Data Streams"
venue="ACL" year="2022" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2110.08454" target="_blank">
<i>Good Examples Make A Faster Learner</i>: Simple Demonstration-based Learning for Low-resource NER</a>
<br>Dong-Ho Lee, Mahak Agarwal, Akshen Kadakia, Jay Pujara, Xiang Ren<br />
<b class="conf_name">ACL</b> 2022<br>
<a class="button pub code label label-info" href="https://github.com/INK-USC/fewNER"
target="_blank">Github</a>
<meta title="Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER"
venue="ACL" year="2022" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2110.08501" target="_blank">
<b>Think Before You Speak</b>: Using Self-talk to Generate Implicit Commonsense Knowledge for Response Generation</a>
<br>Pei Zhou, Karthik Gopalakrishnan, Behnam Hedayatnia, Seokhwan Kim, Jay Pujara, Xiang Ren, Yang Liu, Dilek Hakkani-Tur<br />
<b class="conf_name">ACL</b> 2022<br>
<a class="button pub code label label-info" href=""
target="_blank">Github</a> (coming soon)
<meta title="Think Before You Speak: Using Self-talk to Generate Implicit Commonsense Knowledge for Response Generation"
venue="ACL" year="2022" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="" target="_blank">
<b>Leveraging Visual Knowledge in Language Tasks</b>: An Empirical Study on Intermediate Pre-training for Cross-Modal Knowledge Transfer</a>
<br>Woojeong Jin, Dong-Ho Lee, Chenguang Zhu, Jay Pujara, Xiang Ren<br />
<b class="conf_name">ACL</b> 2022<br>
<a class="button pub code label label-info" href="https://github.com/INK-USC/CMKT"
target="_blank">Github</a>
<meta title="Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-Modal Knowledge Transfer"
venue="ACL" year="2022" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2110.04330" target="_blank">
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering</a>
<br>Donghan Yu, Chenguang Zhu, Yuwei Fang, Wenhao Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, Michael Zeng<br />
<b class="conf_name">ACL</b> 2022 <br>
<!-- <a class="button pub code label label-info" href="https://github.com/FedML-AI/FedNLP" target="_blank">Github</a> -->
<meta title="KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering"
venue="ACL" year="2022" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2112.06318" target="_blank">
Contextualized Scene Imagination for Generative Commonsense Reasoning</a>
<br>Peifeng Wang, Jonathan Zamora, Junfeng Liu, Filip Ilievski, Muhao Chen, Xiang Ren<br />
<b class="conf_name">ICLR</b> 2022 <br>
<a class="button pub code label label-info" href="https://github.com/wangpf3/imagine-and-verbalize"
target="_blank">Github</a>
<meta title="Contextualized Scene Imagination for Generative Commonsense Reasoning"
venue="ICLR" year="2022" />
</p>
</li>
<h4>2021</h4>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2103.10415" target="_blank">
Refining Language Models with Compositional Explanations</a>
<br>Huihan Yao, Ying Chen, Qinyuan Ye, Xisen Jin, Xiang Ren
<br />
Conference on Neural Information Processing Systems (<b class='conf_name'>NeurIPS</b>) 2021 <br>
<b style="color: red; font-weight: bold;"> spotlight presentation </b>
<br>
(previously at RAI @ICLR 2021)
<br>
<a class="button pub code label label-info" href="https://github.com/INK-USC/expl-refinement"
target="_blank">Github</a>
<br>
<meta title="Refining Neural Networks with Compositional Explanations"
venue="NeurIPS" year="2021" />
</p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2103.10415" target="_blank">
SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning</a>
<br>Aaron Chan, Boyuan Long, Jiashu Xu, Soumya Sanyal, Tanishq Gupta, Xiang Ren
<br />
Conference on Neural Information Processing Systems (<b class="conf_Name">NeurIPS</b>) 2021
<br>
(previously at <b class='conf_name'>XAI@ICML</b>)
<br>
<meta title="SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning"
venue="NeurIPS" year="2021" />
</p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2006.15294" target="_blank">Gradient-based Editing of Memory Examples for Online Task-free Continual Learning</a>
<br>Xisen Jin, Junyi Du, Arka Sadhu, Xiang Ren
<br> Conference on Neural Information Processing Systems (<b class="conf_name">NeurIPS</b>) 2021
<br />
Previously a <a
href="https://lifelongml.github.io/schedule/" target="_blank"><b>contributed talk</b></a> to <b class='conf_name'>LifelongML@ICML</b>)
2020) <br />
<a class="button pub code label label-info" href="https://github.com/INK-USC/GMED"
target="_blank">Github</a>
<!-- <a class="button pub code label label-info" href="https://github.com/INK-USC/GMED"
target="_blank">Code</a> -->
<meta title="Gradient Based Memory Editing for Task-Free Continual Learning"
venue="NeurIPS" year="2021" /></p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2104.08835" target="_blank">
<b>CrossFit</b>: A Few-shot Learning Challenge for Cross-task Generalization in NLP</a>
<br>Qinyuan Ye, Yuchen Lin, Xiang Ren
<br />
<b class="conf_name">EMNLP</b> 2021 <br>
<a class="button pub code label label-info" href="https://github.com/INK-USC/CrossFit/"
target="_blank">Github</a>
<a class="button pub misc label label-info" href="https://twitter.com/qinyuan_ye/status/1383686554816716806?s=20"
target="_blank">Tweet</a>
<meta title="CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP"
venue="EMNLP" year="2021" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2005.00782" target="_blank">
<b>RICA</b>: Evaluating Robust Inference Capabilities Based on Commonsense Axioms</a>
<br>Pei Zhou, Rahul Khanna, Bill Yuchen Lin, Daniel Ho, Jay Pujara, Xiang Ren
<br />
<b class="conf_name">EMNLP</b> 2021 <br>
<a class="button pub project label label-info" href="https://inklab.usc.edu/RICA/"
target="_blank">Project</a> <a
class="button pub misc label label-info" href="https://inklab.usc.edu/RICA/#exp"
target="_blank">Leaderboard</a> <a class="button pub misc label label-info"
href="https://inklab.usc.edu/RICA/#example" target="_blank">Data Explorer</a>
<a class="button pub code label label-info" href="https://github.com/shaoxia57/common_sense_embedding_analysis"
target="_blank">Github</a>
<meta title="RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms"
venue="EMNLP" year="2021" />
</p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2104.08808" target="_blank">
<i>Learn Continually, Generalize Rapidly</i>: Lifelong Knowledge Accumulation for Few-shot Learning</a>
<br>Xisen Jin, Bill Yuchen Lin, Mohammad Rostami, Xiang Ren
<br />
<b class="conf_name">Findings of EMNLP</b> 2021 <br>
<a class="button pub code label label-info" href="https://github.com/INK-USC/CLIF"
target="_blank">Github</a>
<a class="button pub misc label label-info" href="https://twitter.com/XisenJ/status/1383675922553794568?s=20"
target="_blank">Tweet</a>
<meta title="Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning"
venue="EMNLP" year="2021" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2108.13654" target="_blank">
Discretized Integrated Gradients for Explaining Language Models</a>
<br>Soumya Sanyal, Xiang Ren
<br />
<b class="conf_name">EMNLP</b> 2021
<br>
<a class="button pub code label label-info" href="https://github.com/INK-USC/DIG"
target="_blank">Github</a>
<br>
<meta title="Discretized Integrated Gradients for Explaining Language Models"
venue="EMNLP" year="2021" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2104.08840" target="_blank">
On the Influence of Masking Policies in Intermediate Pre-training</a>
<br>Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Wen-tau Yih, Xiang Ren, Madian Khabsa
<br />
<b class="conf_name">EMNLP</b> 2021
<meta title="On the Influence of Masking Policies in Intermediate Pre-training"
venue="EMNLP" year="2021" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2103.11320" target="_blank">
<i>Lawyers are Dishonest? </i>: Quantifying Representational Harms in Commonsense Knowledge Resources</a>
<br>Ninareh Mehrabi, Pei Zhou, Fred Morstatter, Jay Pujara, Xiang Ren, Aram Galstyan
<br />
<b class="conf_name">EMNLP</b> 2021
<meta title="Lawyers are Dishonest?: Quantifying Representational Harms in Commonsense Knowledge Resources"
venue="EMNLP" year="2021" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2104.09574" target="_blank">
Probing Commonsense Explanation in Dialogue Response Generation</a>
<br>Pei Zhou, Pegah Jandaghi, Hyundong Cho, Bill Yuchen Lin, Jay Pujara, Xiang Ren
<br />
<b class="conf_name">Findings of EMNLP</b> 2021
<br>
<a class="button pub project label label-info" href="https://sites.google.com/usc.edu/cedar"
target="_blank">Project</a>
<meta title="Probing Commonsense Explanation in Dialogue Response Generation"
venue="EMNLP" year="2021" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2012.15283" target="_blank">
<b>ECONET</b>: Effective Continual Pretraining of Language Models for Event Temporal Reasoning</a>
<br>Rujun Han, Xiang Ren, Nanyun Peng
<br />
<b class="conf_name">EMNLP</b> 2021
<br>
<a class="button pub code label label-info" href="https://github.com/PlusLabNLP/ECONET"
target="_blank">Github</a>
<meta title="ECONET: Effective Continual Pretraining of Language Models for Event Temporal Reasoning"
venue="EMNLP" year="2021" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2104.08724" target="_blank">
<i>Extract, Denoise and Enforce</i>: Evaluating and Improving Concept Preservation for Text-to-Text Generation</a>
<br>Yuning Mao, Wenchang Ma, Deren Lei, Jiawei Han, Xiang Ren
<br />
<b class="conf_name">EMNLP</b> 2021
<br>
<a class="button pub code label label-info" href="https://github.com/morningmoni/EDE"
target="_blank">Github</a>
<meta title="Extract, Denoise and Enforce: Evaluating and Improving Concept Preservation for Text-to-Text Generation"
venue="EMNLP" year="2021" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="" target="_blank">
<i>Cross-Attention is All You Need</i>: Adapting Pretrained Transformers for Machine Translation</a>
<br>Mozhdeh Gheini, Xiang Ren, Jonathan May
<br />
<b class="conf_name">EMNLP</b> 2021
<br>
<a class="button pub code label label-info" href="https://github.com/MGheini/xattn-transfer-for-mt"
target="_blank">Github</a>
<meta title="Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation"
venue="EMNLP" year="2021" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2101.01881" target="_blank">
MSD: Saliency-aware Knowledge Distillation for Multimodal Understanding</a>
<br>Woojeong Jin, Maziar Sanjabi, Shaoliang Nie, Liang Tan, Xiang Ren, Hamed Firooz
<br />
<b class='conf_name'>Findings of EMNLP</b> 2021
<meta title="MSD: Saliency-aware Knowledge Distillation for Multimodal Understanding"
venue="EMNLP" year="2021" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="" target="_blank">
<i>RockNER</i>: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models</a>
<br> Bill Yuchen Lin, Wenyang Gao, Jun Yan, Ryan Moreno, Xiang Ren
<br />
<b class="conf_name">EMNLP</b> 2021 (short paper)
<br>
<a class="button pub project label label-info" href="https://inklab.usc.edu//rockner/"
target="_blank">Project</a>
<a class="button pub code label label-info" href="https://github.com/INK-USC/RockNER/"
target="_blank">Github</a>
<a class="button pub code label label-info" href="https://inklab.usc.edu//rockner/#dataset-format"
target="_blank">Data</a>
<a class="button pub code label label-info" href="https://inklab.usc.edu//rockner/#leaderboard"
target="_blank">Leaderboard</a>
<meta title="RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models"
venue="EMNLP" year="2021" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2005.00792" target="_blank">
<b>ForecastQA</b>: A Question Answering Challenge for Event Forecasting</a>
<br />
Woojeong Jin, Rahul Khanna, Suji Kim, Dong-Ho Lee, Fred Morstatter, Aram Galstyan, Xiang Ren
<br />
<b class="conf_name">ACL</b> 2021<br>
<a class="button pub project label label-info" href="https://inklab.usc.edu/ForecastQA/index.html"
target="_blank">Project</a> <a class="button pub misc label label-info" href="https://inklab.usc.edu/ForecastQA/data_explorer.html"
target="_blank">Data Explorer</a> <a class="button pub code label label-info" href="https://eval.ai/web/challenges/challenge-page/904/leaderboard/2377"
target="_blank">Leaderboard</a>
<meta title="ForecastQA: A Question Answering Challenge for Event Forecasting" venue="ACL"
year="2021" />
</p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2101.00420" target="_blank">Learning to Generate Task-specific Adapters from Task Description</a>
<br />Qinyuan Ye, Xiang Ren <br /><b class="conf_name"> ACL</b> 2021 (short paper)<br />
<meta title="Learning to Generate Task-specific Adapters from Task Description" venue="ACL" year="2021" />
</p>
</li>
<li>
<p>
<a class="pub_title" href="" target="_blank"><i>Common Sense Beyond English</i>: Evaluating and Improving Multilingual Language Models for Common Sense Reasoning</a>
<br />Bill Yuchen Lin, Seyeon Lee, Xiaoyang Qiao, Xiang Ren. <br /><b class="conf_name">ACL</b> 2021<br />
<meta title="Common Sense Beyond English: Evaluating and Improving Multilingual Language Models for Common Sense Reasoning" venue="ACL" year="2021" />
</p>
</li>
<li>
<p>
<a class="pub_title" href="" target="_blank"><b>AdaTag</b>: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding</a>
<br />Jun Yan, Nasser Zalmout, Yan Liang, Christan Grant, Xiang Ren, Xin Luna Dong. <br /><b class="conf_name">ACL</b> 2021<br />
<meta title="AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding" venue="ACL" year="2021" />
</p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2010.12873" target="_blank">Learning Contextualized Knowledge Structures for Commonsense Reasoning</a>
<br>Jun Yan, Mrigank Raman, Aaron Chan, Tianyu Zhang, Ryan Rossi, Handong Zhao, Sungchul Kim, Nedim Lipka, Xiang Ren
<br />
<b class="conf_name">Findings of ACL</b> 2021 (An earlier version accepted to <b>KR2ML@ NeurIPS</b> 2020) <br>
<a class="button pub code label label-info" href="https://github.com/INK-USC/HGN"
target="_blank">Website</a>
<meta title="Learning Contextualized Knowledge Structures for Commonsense Reasoning"
venue="ACL" year="2021" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2101.00376" target="_blank"><b>RiddleSense</b>: A Challenge Dataset for Answering Riddle-Style Commonsense Questions</a>
<br />Bill Yuchen Lin, Ziyi Wu, Yichi Yang, Dong-Ho Lee, Xiang Ren. <br /><b class="conf_name">Findings of ACL</b> 2021<br />
<a class="button pub project label label-info" href="https://inklab.usc.edu/RiddleSense/"
target="_blank">Project</a>
<meta title="RiddleSense: A Challenge Dataset for Answering Riddle-Style Commonsense Questions" venue="ACL" year="2021" />
</p>
</li>
<li>
<p>
<a class="pub_title" href="" target="_blank">Do Language Models Perform Generalizable Commonsense Inference?</a>
<br />Peifeng Wang, Filip Ilievski, Muhao Chen, Xiang Ren. <br /><b class="conf_name">Findings of ACL</b> 2021<br />
<meta title="Do Language Models Perform Generalizable Commonsense Inference?" venue="ACL" year="2021" />
</p>
</li>
<li>
<p>
<a class="pub_title" href="">
AutoTriggER: Named Entity Recognition with Auxiliary Trigger Extraction</a>
<br>Dong-Ho Lee*, Ravi Kiran Selvam*, Sheikh Muhammad Sarwar, Bill Yuchen Lin, Fred Morstatter,<br> Jay Pujara, Elizabeth Boschee, James Allan, Xiang Ren
<br />
ICLR Workshop on Weakly Supervised Learning (<b class="conf_name">WeaSuL @ICLR</b>) 2021
<meta title="AutoTriggER: Named Entity Recognition with Auxiliary Trigger Extraction"
venue="ICLR" year="2021" />
</p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2011.07956" target="_blank">Pre-training Text-to-Text Transformers for Concept-centric Common Sense</a><br>
Wangchunshu Zhou*, Dong-Ho Lee*, Ravi Kiran Selvam, Seyeon Lee, Bill Yuchen Lin, Xiang Ren<br />
<b class="conf_name">ICLR</b> 2021 (Previous version in SSL@ NeurIPS 2020)
<br />
<a class="button pub project label label-info" href="https://inklab.usc.edu/calm-project/"
target="_blank">Project</a>
<a class="button pub code label label-info"
href="https://github.com/INK-USC/CALM" target="_blank">Code</a>
<meta title="Pre-training Text-to-Text Transformers for Concept-centric Common Sense"
venue="ICLR" year="2021" />
</p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2010.12872" target="_blank">Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation</a>
<br>Mrigank Raman, Siddhant Agarwal, Peifeng Wang, Aaron Chan, Hansen Wang, Sungchul Kim, Ryan
Rossi, Handong Zhao, Nedim Lipka, Xiang Ren<br />
<b class="conf_name">ICLR</b> 2021
<br /><font color="red"><b>Best paper runner-up</b></font> at <b>KR2ML@ NeurIPS</b> 2020
<meta title="Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation"
venue="ICLR" year="2021" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2010.12864" target="_blank">On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning</a>
<br>Xisen Jin, Francesco Barbieri, Brendan Kennedy, Aida Mostafazadeh Davani, Leonardo Neves, Xiang Ren
<br /> <b class="conf_name">NAACL</b> 2021
<meta title="On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning" venue="NAACL"
year="2021" /> </p>
</li>