Incorporating Structured Commonsense Knowledge in Story Completion. - Jiaao Chen; Jianshu Chen; Zhou Yu (AAAI, 2019)

Let's Make Your Request More Persuasive: Modeling Persuasive Strategies via Semi-Supervised Neural Nets on Crowdfunding Platforms. - Diyi Yang; Jiaao Chen; Zichao Yang; Dan Jurafsky; Eduard H. Hovy (NAACL-HLT (1), 2019)

Semi-supervised Models via Data Augmentation for Classifying Interactive Affective Responses. - Jiaao Chen; Yuwei Wu 003; Diyi Yang (AffCon@AAAI, 2020)

MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification. - Jiaao Chen; Zichao Yang; Diyi Yang (ACL, 2020)

Local Additivity Based Data Augmentation for Semi-supervised NER. - Jiaao Chen; Zhenghui Wang; Ran Tian; Zichao Yang; Diyi Yang (EMNLP (1), 2020)

Multi-View Sequence-to-Sequence Models with Conversational Structure for Abstractive Dialogue Summarization. - Jiaao Chen; Diyi Yang (EMNLP (1), 2020)

Examining the Ordering of Rhetorical Strategies in Persuasive Requests. - Omar Shaikh; Jiaao Chen; Jon Saad-Falcon; Polo Chau; Diyi Yang (EMNLP (Findings), 2020)

Semi-Supervised Models via Data Augmentationfor Classifying Interactive Affective Responses. - Jiaao Chen; Yuwei Wu 003; Diyi Yang (CoRR, 2020)

Weakly-Supervised Hierarchical Models for Predicting Persuasive Strategies in Good-faith Textual Requests. - Jiaao Chen; Diyi Yang (AAAI, 2021)

HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better Generalizability. - Jiaao Chen; Dinghan Shen; Weizhu Chen; Diyi Yang (ACL/IJCNLP (1), 2021)

Simple Conversational Data Augmentation for Semi-supervised Abstractive Dialogue Summarization. - Jiaao Chen; Diyi Yang (EMNLP (1), 2021)

Structure-Aware Abstractive Conversation Summarization via Discourse and Action Graphs. - Jiaao Chen; Diyi Yang (NAACL-HLT, 2021)

Continual Learning for Text Classification with Information Disentanglement Based Regularization. - Yufan Huang; Yanzhe Zhang; Jiaao Chen; Xuezhi Wang 002; Diyi Yang (NAACL-HLT, 2021)

HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better Generalization. - Jiaao Chen; Dinghan Shen; Weizhu Chen; Diyi Yang (CoRR, 2021)

Leveraging Expert Guided Adversarial Augmentation For Improving Generalization in Named Entity Recognition. - Aaron Reich; Jiaao Chen; Aastha Agrawal; Yanzhe Zhang; Diyi Yang (ACL (Findings), 2022)

Focus on the Action: Learning to Highlight and Summarize Jointly for Email To-Do Items Summarization. - Kexun Zhang; Jiaao Chen; Diyi Yang (ACL (Findings), 2022)

VALUE: Understanding Dialect Disparity in NLU. - Caleb Ziems; Jiaao Chen; Camille Harris; Jessica Anderson; Diyi Yang (ACL (1), 2022)

When FLUE Meets FLANG: Benchmarks and Large Pretrained Language Model for Financial Domain. - Raj Sanjay Shah; Kunal Chawla; Dheeraj Eidnani; Agam Shah; Wendi Du; Sudheer Chava; Natraj Raman; Charese Smiley; Jiaao Chen; Diyi Yang (EMNLP, 2022)

WHEN FLUE MEETS FLANG: Benchmarks and Large Pre-trained Language Model for Financial Domain. - Raj Sanjay Shah; Kunal Chawla; Dheeraj Eidnani; Agam Shah; Wendi Du; Sudheer Chava; Natraj Raman; Charese Smiley; Jiaao Chen; Diyi Yang (CoRR, 2022)

Human-in-the-loop Abstractive Dialogue Summarization. - Jiaao Chen; Mohan Dodda; Diyi Yang (ACL (Findings), 2023)

Controllable Conversation Generation with Conversation Structures via Diffusion Models. - Jiaao Chen; Diyi Yang (ACL (Findings), 2023)

Compositional Data Augmentation for Abstractive Conversation Summarization. - Siru Ouyang; Jiaao Chen; Jiawei Han 001; Diyi Yang (ACL (1), 2023)

Unlearn What You Want to Forget: Efficient Unlearning for LLMs. - Jiaao Chen; Diyi Yang (EMNLP, 2023)

A Cheaper and Better Diffusion Language Model with Soft-Masked Noise. - Jiaao Chen; Aston Zhang; Mu Li 003; Alex Smola; Diyi Yang (EMNLP, 2023)

Is ChatGPT a General-Purpose Natural Language Processing Task Solver? - Chengwei Qin; Aston Zhang; Zhuosheng Zhang 001; Jiaao Chen; Michihiro Yasunaga; Diyi Yang (EMNLP, 2023)

Mitigating Biases in Hate Speech Detection from A Causal Perspective. - Zhehao Zhang 001; Jiaao Chen; Diyi Yang (EMNLP (Findings), 2023)

Parameter-Efficient Fine-Tuning Design Spaces. - Jiaao Chen; Aston Zhang; Xingjian Shi; Mu Li 003; Alex Smola; Diyi Yang (ICLR, 2023)

Informative Path Planning of Autonomous Vehicle for Parking Occupancy Estimation. - Yunze Hu; Jiaao Chen; Kangjie Zhou; Han Gao; Yutong Li; Chang Liu 002 (ITSC, 2023)

Where Does Your News Come From? Predicting Information Pathways in Social Media. - Alexander K. Taylor 002; Nuan Wen; Po-Nien Kung; Jiaao Chen; Violet Peng; Wei Wang 010 (SIGIR, 2023)

Skills-in-Context Prompting: Unlocking Compositionality in Large Language Models. - Jiaao Chen; Xiaoman Pan; Dian Yu 001; Kaiqiang Song; Xiaoyang Wang; Dong Yu 001; Jianshu Chen (CoRR, 2023)

Informative Path Planning of Autonomous Vehicle for Parking Occupancy Estimation. - Yunze Hu; Jiaao Chen; Kangjie Zhou; Han Gao; Yutong Li; Chang Liu (CoRR, 2023)

DyVal: Graph-informed Dynamic Evaluation of Large Language Models. - Kaijie Zhu; Jiaao Chen; Jindong Wang 001; Neil Zhenqiang Gong; Diyi Yang; Xing Xie 001 (CoRR, 2023)

From Scroll to Misbelief: Modeling the Unobservable Susceptibility to Misinformation on Social Media. - Yanchen Liu; Mingyu Derek Ma; Wenna Qin; Azure Zhou; Jiaao Chen; Weiyan Shi; Wei Wang 010; Diyi Yang (CoRR, 2023)

An Empirical Survey of Data Augmentation for Limited Data Learning in NLP. - Jiaao Chen; Derek Tam; Colin Raffel; Mohit Bansal; Diyi Yang (Trans. Assoc. Comput. Linguistics, 2023)

Skills-in-Context: Unlocking Compositionality in Large Language Models. - Jiaao Chen; Xiaoman Pan; Dian Yu 001; Kaiqiang Song; Xiaoyang Wang; Dong Yu 001; Jianshu Chen (EMNLP (Findings), 2024)

Decoding Susceptibility: Modeling Misbelief to Misinformation Through a Computational Approach. - Yanchen Liu; Mingyu Derek Ma; Wenna Qin; Azure Zhou; Jiaao Chen; Weiyan Shi; Wei Wang 010; Diyi Yang (EMNLP, 2024)

DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks. - Kaijie Zhu; Jiaao Chen; Jindong Wang 001; Neil Zhenqiang Gong; Diyi Yang; Xing Xie 001 (ICLR, 2024)

DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning Graph. - Zhehao Zhang 001; Jiaao Chen; Diyi Yang (NeurIPS, 2024)

AoI-Aware Resource Allocation for C-V2X Networks via Multi-Agent Reinforcement Learning with Attention. - Jiaao Chen; Qiang Wang; Yiming Liu (VTC Fall, 2024)

Federated Multi-Agent Deep Reinforcement Learning Approach for Resource Allocation in Platoon-Based NR-V2X. - Yiming Liu; Qiang Wang 007; Jiaao Chen; Wenqi Zhang; Chen Sun 006 (VTC Spring, 2024)

Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review. - Rui Ye 001; Xianghe Pang; Jingyi Chai; Jiaao Chen; Zhenfei Yin; Zhen Xiang; Xiaowen Dong 001; Jing Shao; Siheng Chen (CoRR, 2024)

Dynamic Skill Adaptation for Large Language Models. - Jiaao Chen; Diyi Yang (CoRR, 2024)

Can Large Language Models Transform Computational Social Science? - Caleb Ziems; William Held; Omar Shaikh; Jiaao Chen; Zhehao Zhang 001; Diyi Yang (Comput. Linguistics, 2024)

Agentic Workflows for Conversational Human-AI Interaction Design. - Arthur Caetano; Kavya Verma; Atieh Taheri; Radha Kumaran; Zichen Chen; Jiaao Chen; Tobias Höllerer; Misha Sra (CoRR, 2025)

Position: Standard Benchmarks Fail - LLM Agents Present Overlooked Risks for Financial Applications. - Zichen Chen; Jiaao Chen; Jianda Chen; Misha Sra (CoRR, 2025)

MASLab: A Unified and Comprehensive Codebase for LLM-based Multi-Agent Systems. - Rui Ye 001; Keduan Huang; Qimin Wu; Yuzhu Cai; Tian Jin; Xianghe Pang; Xiangrui Liu; Jiaqi Su; Chen Qian; Bohan Tang; Kaiqu Liang; Jiaao Chen; et al. (CoRR, 2025)

WorkForceAgent-R1: Incentivizing Reasoning Capability in LLM-based Web Agents via Reinforcement Learning. - Yuchen Zhuang; Di Jin; Jiaao Chen; Wenqi Shi; Hanrui Wang; Chao Zhang (CoRR, 2025)