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cs.AI2026
MHA-RAG: Improving Efficiency, Accuracy, and Consistency by Encoding Exemplars as Soft Prompts
Abhinav Jain, Xinyu Yao, Thomas Reps +1
Adapting Foundation Models to new domains with limited training data is challenging and computationally expensive. While prior work has demonstrated the effectiveness of using doma…
cs.AI2024
RAG-Modulo: Solving Sequential Tasks using Experience, Critics, and Language Models
Abhinav Jain, Chris Jermaine, Vaibhav Unhelkar
Large language models (LLMs) have recently emerged as promising tools for solving challenging robotic tasks, even in the presence of action and observation uncertainties. Recent LL…