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cs.CL2026
Beyond Confidence: Rethinking Self-Assessments for Performance Prediction in LLMs
Sree Bhattacharyya, Samarth Khanna, Leona Chen +3
Large Language Models (LLMs) are increasingly used in settings where reliable self-assessment is critical. Assessing model reliability has evolved from using probabilistic correctn…
cs.CL2026★ 3 cited
Large language models show fragile cognitive reasoning about human emotions
Sree Bhattacharyya, Evgenii Kuriabov, Lucas Craig +4
Affective computing seeks to support the holistic development of artificial intelligence by enabling machines to engage with human emotion. Recent foundation models, particularly l…