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cs.CL2026
MIS-Bench: Benchmarking Multimodal LLMs for Psychotherapeutic Interpersonal Skills Assessment
Yuhan Lu, Yi Yao, Hua Shen +2
Multimodal large language models (MLLMs) are increasingly used as evaluators, yet their reliability in professional assessment tasks that require expert judgment remains unclear. W…
cs.CL2026
Pseudo-Deliberation in Language Models: When Reasoning Fails to Align Values and Actions
Sushrita Rakshit, Hanwen Zhang, Hua Shen
Large language models (LLMs) are often evaluated based on their stated values, yet these do not reliably translate into their actions, a discrepancy termed "value-action gap." In t…
cs.CL2026
Bridging Human Interpretation and Machine Representation: A Landscape of Qualitative Data Analysis in the LLM Era
Xinyu Pi, Qisen Yang, Chuong Nguyen +1
LLMs are increasingly used to support qualitative research, yet existing systems produce outputs that vary widely--from trace-faithful summaries to theory-mediated explanations and…