collaborators

6 papers

cs.CL2026

PaperMentor: A Human-Centered Multi-Agent Writing Tutor for AI Research Papers on Overleaf

Jiarui Liu, Terry Jingchen Zhang, Ryan Faulkner +17

Expert writing feedback from experienced researchers is critical for early-career scholars to improve their manuscripts, yet high-quality feedback often remains scarce because revi…

cs.CL2026

How Do Document Parsers Break? Auditing Structural Vulnerability in Document Intelligence

Yue Chen, Yihao Wang, Ziyi Tang +2

Document Layout Analysis (DLA) pipelines provide structured page representations for retrieval-augmented generation, long-document question answering, and other document intelligen…

cs.AI2026

CausaLab: A Scalable Environment for Interactive Causal Discovery Toward AI Scientists

Junlin Yang, Dylan Zhang, Xiangchen Song +7

We introduce CausaLab, a scalable environment for evaluating interactive causal discovery by LLM agents. Unlike prior evaluations, CausaLab evaluates both whether an agent can solv…

cs.AI2026

State Contamination in Memory-Augmented LLM Agents

Yian Wang, Agam Goyal, Yuen Chen +1

LLM agents increasingly rely on persistent state, including transcripts, summaries, retrieved context, and memory buffers, to support long-horizon interaction. This makes safety de…

cs.CL2026

CausalDetox: Causal Head Selection and Intervention for Language Model Detoxification

Yian Wang, Yuen Chen, Agam Goyal +1

Large language models (LLMs) frequently generate toxic content, posing significant risks for safe deployment. Current mitigation strategies often degrade generation quality or requ…

cs.CL2025

Causally Testing Gender Bias in LLMs: A Case Study on Occupational Bias

Yuen Chen, Vethavikashini Chithrra Raghuram, Justus Mattern +2

Generated texts from large language models (LLMs) have been shown to exhibit a variety of harmful, human-like biases against various demographics. These findings motivate research…