3 papers
cs.SD2026
Nudging Hidden States: Training-Free Model Steering for Chain-of-Thought Reasoning in Large Audio-Language Models
Lok-Lam Ieong, Chia-Chien Chen, Chih-Kai Yang +3
Chain-of-thought (CoT) prompting has been extended to large audio-language models (LALMs) to elicit reasoning, yet enhancing its effectiveness without training remains challenging.…
cs.CL2024
Unveiling Narrative Reasoning Limits of Large Language Models with Trope in Movie Synopses
Hung-Ting Su, Ya-Ching Hsu, Xudong Lin +5
Large language models (LLMs) equipped with chain-of-thoughts (CoT) prompting have shown significant multi-step reasoning capabilities in factual content like mathematics, commonsen…
cs.CV2024
Investigating Video Reasoning Capability of Large Language Models with Tropes in Movies
Hung-Ting Su, Chun-Tong Chao, Ya-Ching Hsu +4
Large Language Models (LLMs) have demonstrated effectiveness not only in language tasks but also in video reasoning. This paper introduces a novel dataset, Tropes in Movies (TiM),…