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cs.CL2024
Fine-Tuning on Diverse Reasoning Chains Drives Within-Inference CoT Refinement in LLMs
Haritz Puerto, Tilek Chubakov, Xiaodan Zhu +2
Requiring a large language model (LLM) to generate intermediary reasoning steps, known as Chain of Thought (CoT), has been shown to be an effective way of boosting performance. Pre…
cs.AI2024
Quantifying Divergence for Human-AI Collaboration and Cognitive Trust
Müge Kural, Ali Gebeşçe, Tilek Chubakov +1
Predicting the collaboration likelihood and measuring cognitive trust to AI systems is more important than ever. To do that, previous research mostly focus solely on the model feat…