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cs.CL2026
Characterizing Rhetorical Misalignment in Decision-Making with Language Models
Zirui Cheng, Joey Chan, Simo Du +3
Human decision-making is often shaped by a range of well-documented cognitive biases. As large language models (LLMs) become increasingly integrated into high-stakes human-AI decis…
cs.CL2026
The Text Uncanny Valley: Non-Monotonic Performance Degradation in LLM Information Retrieval
Zekai Tong, Ruiyao Xu, Aryan Shrivastava +2
Existing Large Language Model (LLM) benchmarks primarily focus on syntactically correct inputs, leaving a significant gap in evaluation on imperfect text. In this work, we study ho…
cs.CL2025
CLEAR: A Clinically-Grounded Tabular Framework for Radiology Report Evaluation
Yuyang Jiang, Chacha Chen, Shengyuan Wang +8
Existing metrics often lack the granularity and interpretability to capture nuanced clinical differences between candidate and ground-truth radiology reports, resulting in suboptim…