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cs.CL2026
Adaptive Decoding via Test-Time Policy Learning for Self-Improving Generation
Asmita Bhardwaj, Yuya Jeremy Ong, Eelaaf Zahid +1
Decoding strategies largely determine the quality of Large Language Model (LLM) outputs, yet widely used heuristics such as greedy or fixed temperature/top-p decoding are static an…
cs.CL2026
Augmenting Question Answering with A Hybrid RAG Approach
Tianyi Yang, Nashrah Haque, Vaishnave Jonnalagadda +6
Retrieval-Augmented Generation (RAG) has emerged as a powerful technique for enhancing the quality of responses in Question-Answering (QA) tasks. However, existing approaches often…