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cs.CL2026
PDDL-Mind: Large Language Models are Capable on Belief Reasoning with Reliable State Tracking
Wang Bill Zhu, Qiutong Tony Yi, Robin Jia +1
Large language models (LLMs) perform substantially below human level on existing theory-of-mind (ToM) benchmarks, even when augmented with chain-of-thought prompting or probabilist…
cs.CL2025
Large Language Models Do Multi-Label Classification Differently
Marcus Ma, Georgios Chochlakis, Niyantha Maruthu Pandiyan +2
Multi-label classification is prevalent in real-world settings, but the behavior of Large Language Models (LLMs) in this setting is understudied. We investigate how autoregressive…