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cs.CL2026

Evaluating Multi-Turn Multimodal Diagnostic Reasoning on Challenging Real-World Clinical Cases

Rui Yang, Weihao Xuan, Yi Lin +23

Clinical diagnostic evaluation should not only assess whether models can provide correct diagnoses, but also reflect the realities of clinical practice, including progressive discl…

cs.CL2026

MixSD: Mixed Contextual Self-Distillation for Knowledge Injection

Jiarui Liu, Lechen Zhang, Yongjin Yang +5

Supervised fine-tuning (SFT) is widely used to inject new knowledge into language models, but it often degrades pretrained capabilities such as reasoning and general-domain perform…

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.CL20261 cited

Synthetic Socratic Debates: Examining Persona Effects on Moral Decision and Persuasion Dynamics

Jiarui Liu, Yueqi Song, Yunze Xiao +5

As large language models (LLMs) are increasingly used in morally sensitive domains, it is crucial to understand how persona traits affect their moral reasoning and persuasive behav…

cs.CL2025

Humanizing Machines: Rethinking LLM Anthropomorphism Through a Multi-Level Framework of Design

Yunze Xiao, Lynnette Hui Xian Ng, Jiarui Liu +1

Large Language Models (LLMs) increasingly exhibit \textbf{anthropomorphism} characteristics -- human-like qualities portrayed across their outlook, language, behavior, and reasonin…

cs.CL2025

BIG5-CHAT: Shaping LLM Personalities Through Training on Human-Grounded Data

Wenkai Li, Jiarui Liu, Andy Liu +3

In this work, we tackle the challenge of embedding realistic human personality traits into LLMs. Previous approaches have primarily focused on prompt-based methods that describe th…