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

CRT-QA: A Dataset of Complex Reasoning Question Answering over Tabular Data. - Zhehao Zhang 001; Xitao Li; Yan Gao 002; Jian-Guang Lou (EMNLP, 2023)

Is GPT-4V (ision) All You Need for Automating Academic Data Visualization? Exploring Vision-Language Models' Capability in Reproducing Academic Charts. - Zhehao Zhang 001; Weicheng Ma; Soroush Vosoughi (EMNLP (Findings), 2024)

Exploring Soft Prompt Initialization Strategy for Few-Shot Continual Text Classification. - Zhehao Zhang 001; Tong Yu 001; Handong Zhao; Kaige Xie; Lina Yao 001; Shuai Li 010 (ICASSP, 2024)

E⁵: Zero-shot Hierarchical Table Analysis using Augmented LLMs via Explain, Extract, Execute, Exhibit and Extrapolate. - Zhehao Zhang 001; Yan Gao 002; Jian-Guang Lou (NAACL-HLT, 2024)

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

Visual Prompting in Multimodal Large Language Models: A Survey. - Junda Wu; Zhehao Zhang 001; Yu Xia 007; Xintong Li 001; Zhaoyang Xia; Aaron Chang; Tong Yu 001; Sungchul Kim; Ryan A. Rossi; Ruiyi Zhang 002; Subrata Mitra; Dimitris N. Metaxas; et al. (CoRR, 2024)

VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use. - Zhehao Zhang 001; Ryan A. Rossi; Tong Yu 001; Franck Dernoncourt; Ruiyi Zhang 002; Jiuxiang Gu; Sungchul Kim; Xiang Chen; Zichao Wang 001; Nedim Lipka (CoRR, 2024)

A Survey of Small Language Models. - Chien Van Nguyen; Xuan Shen; Ryan Aponte; Yu Xia 007; Samyadeep Basu; Zhengmian Hu; Jian Chen 043; Mihir Parmar; Sasidhar Kunapuli; Joe Barrow; Junda Wu; Ashish Singh; et al. (CoRR, 2024)

Optimizing Data Delivery: Insights from User Preferences on Visuals, Tables, and Text. - Reuben Luera; Ryan A. Rossi; Franck Dernoncourt; Alexa F. Siu; Sungchul Kim; Tong Yu 001; Ruiyi Zhang 002; Xiang Chen; Nedim Lipka; Zhehao Zhang 001; Seon Gyeom Kim; Tak Yeon Lee (CoRR, 2024)

Personalized Multimodal Large Language Models: A Survey. - Junda Wu; Hanjia Lyu; Yu Xia 007; Zhehao Zhang 001; Joe Barrow; Ishita Kumar; Mehrnoosh Mirtaheri; Hongjie Chen 003; Ryan A. Rossi; Franck Dernoncourt; Tong Yu 001; Ruiyi Zhang 002; et al. (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)

From Selection to Generation: A Survey of LLM-based Active Learning. - Yu Xia 007; Subhojyoti Mukherjee; Zhouhang Xie; Junda Wu; Xintong Li 001; Ryan Aponte; Hanjia Lyu; Joe Barrow; Hongjie Chen 003; Franck Dernoncourt; Branislav Kveton; Tong Yu 001; et al. (ACL (1), 2025)

Personalizing Data Delivery: Investigating User Characteristics and Enhancing LLM Predictions. - Reuben Luera; Ryan A. Rossi; Franck Dernoncourt; Alexa F. Siu; Sungchul Kim; Tong Yu 001; Ruiyi Zhang 002; Xiang Chen; Nedim Lipka; Zhehao Zhang 001; Seon Gyeom Kim; Tak Yeon Lee (WWW (Companion Volume), 2025)

Personalization of Large Language Models: A Survey. - Zhehao Zhang 001; Ryan A. Rossi; Branislav Kveton; Yijia Shao; Diyi Yang; Hamed Zamani; Franck Dernoncourt; Joe Barrow; Tong Yu 001; Sungchul Kim; Ruiyi Zhang 002; Jiuxiang Gu; et al. (Trans. Mach. Learn. Res., 2025)