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cs.CL2026

LLMs Know the Constraint But Do Not Use It: Activation Bottlenecks in Pragmatic Constraint Reasoning

Yubo Li, Ramayya Krishnan, Rema Padman

When a salient surface cue competes with an implicit feasibility constraint, LLMs often fail -- but aggregate accuracy conflates genuine constraint inference with conservative defa…

cs.CL2026

Same Question, Different Source, Different Answer: Auditing Source-Dependence in Medical Multi-Source RAG

Yubo Li, Rema Padman, Ramayya Krishnan

A retrieval-augmented generation (RAG) system deployed over a multi-author institutional corpus can give a different answer to the same question depending on which source it retrie…

cs.CL2026

The Model Says Walk: How Surface Heuristics Override Implicit Constraints in LLM Reasoning

Yubo Li, Lu Zhang, Tianchong Jiang +2

Large language models fail when a salient surface cue conflicts with an unstated feasibility constraint. We introduce the Heuristic Override Benchmark (HOB): 500 instances spanning…

cs.CL2025

Time-To-Inconsistency: A Survival Analysis of Large Language Model Robustness to Adversarial Attacks

Yubo Li, Ramayya Krishnan, Rema Padman

Large Language Models (LLMs) have revolutionized conversational AI, yet their robustness in extended multi-turn dialogues remains poorly understood. Existing evaluation frameworks…

cs.CL2025

Beyond Single-Turn: A Survey on Multi-Turn Interactions with Large Language Models

Yubo Li, Xiaobin Shen, Yidi Miao +4

Recent advances in large language models (LLMs) have substantially improved single-turn task performance, yet real-world applications increasingly demand sophisticated multi-turn i…

cs.CL2025

Can LLMs Support Medical Knowledge Imputation? An Evaluation-Based Perspective

Xinyu Yao, Aditya Sannabhadti, Holly Wiberg +2

Medical knowledge graphs (KGs) are essential for clinical decision support and biomedical research, yet they often exhibit incompleteness due to knowledge gaps and structural limit…