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cs.LG2024
Composite Learning Units: Generalized Learning Beyond Parameter Updates to Transform LLMs into Adaptive Reasoners
Santosh Kumar Radha, Oktay Goktas
Human learning thrives on the ability to learn from mistakes, adapt through feedback, and refine understanding-processes often missing in static machine learning models. In this wo…
cs.CL2024
Iteration of Thought: Leveraging Inner Dialogue for Autonomous Large Language Model Reasoning
Santosh Kumar Radha, Yasamin Nouri Jelyani, Ara Ghukasyan +1
Iterative human engagement is a common and effective means of leveraging the advanced language processing power of large language models (LLMs). Using well-structured prompts in a…