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20242026
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cs.CL2026

SlideAgent: Hierarchical Agentic Framework for Multi-Page Visual Document Understanding

Yiqiao Jin, Rachneet Kaur, Zhen Zeng +2

Multi-page visual documents such as manuals, brochures, presentations, and posters convey key information through layout, colors, icons, and cross-slide references. While multimoda…

cs.CL2026

CALM-IT: Generating Realistic Long-Form Motivational Interviewing Dialogues with Dual-Actor Conversational Dynamics Tracking

Viet Cuong Nguyen, Nhi Yen Nguyen, Kristin A. Candan +5

Therapeutic dialogue is not a sequence of isolated responses: client goals, motivation, resistance, and therapeutic alliance evolve over time. Yet current LLM-based mental health d…

cs.CL2026

UniSD: Towards a Unified Self-Distillation Framework for Large Language Models

Yiqiao Jin, Yiyang Wang, Lucheng Fu +7

Self-distillation (SD) offers a promising path for adapting large language models (LLMs) without relying on stronger external teachers. However, SD in autoregressive LLMs remains c…

cs.CL2026

Efficient Knowledge Probing of Large Language Models by Adapting Pre-trained Embeddings

Kartik Sharma, Yiqiao Jin, Rakshit Trivedi +1

Large language models (LLMs) acquire knowledge across diverse domains such as science, history, and geography encountered during generative pre-training. However, due to their stoc…

cs.CL2025

MedHalu: Hallucinations in Responses to Healthcare Queries by Large Language Models

Vibhor Agarwal, Yiqiao Jin, Mohit Chandra +3

Large language models (LLMs) are starting to complement traditional information seeking mechanisms such as web search. LLM-powered chatbots like ChatGPT are gaining prominence amon…

cs.CL2025

SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression

Yiqiao Jin, Kartik Sharma, Vineeth Rakesh +4

Retrieval-augmented Generation (RAG) extends large language models (LLMs) with external knowledge but faces key challenges: restricted effective context length and redundancy in re…