Reinforcement Learning with Heterogeneous Data: Estimation and Inference
Reinforcement Learning (RL) has the promise of providing data-driven support for decision-making in a wide range of problems in healthcare, education,...
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Reinforcement Learning (RL) has the promise of providing data-driven support for decision-making in a wide range of problems in healthcare, education,...
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Individuals with Autism Spectrum Conditions (ASC) have marked difficulties
using verbal and non-verbal communication for social interaction. The runni...
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SurveyX is a system for automated survey generation using Large Language Models (LLMs), addressing challenges related to context window limitations an...
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Presents TheoremExplainAgent, an innovative approach to generating multimodal theorem explanations through structured video content using Manim animat...
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Large language models (LLM) excel at a variety of natural language processing tasks, yet they struggle to generate personalized content for individual...
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We are beginning to see progress in language model assisted scientific discovery. Motivated by the use of LLMs as a general scientific assistant, this...
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Large language models (LLMs) have emerged as powerful and general solutions to many natural language tasks. However, many of the most important applic...
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Goal-conditioned reinforcement learning (RL) can solve tasks in a wide range of domains, including navigation and manipulation, but learning to reach ...
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Chain-of-Thought (CoT) prompting has enhanced the performance of Large Language Models (LLMs) across various reasoning tasks. However, CoT still falls...
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Knowledge distillation (KD) has been extensively employed to transfer the knowledge from a large teacher model to the smaller students, where the para...
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Knowledge distillation (KD), as an efficient and effective model compression technique, has been receiving considerable attention in deep learning. Th...
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Introduces LADDER, a framework that allows Large Language Models (LLMs) to autonomously improve their problem-solving skills by recursively generating...
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