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Shreyas Chaudhari

ACL 2026NeurIPS 2026强化学习与后训练检索与知识评测与基准推理
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0 一作 · 2 篇 · ACL 2026 / NeurIPS 2026

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2026 顶会论文

2
作者位次 #2/3NeurIPS 2026Poster

Uncertainty-Guided Reward Labeling for Reinforcement Learning under Limited Feedback

Renhao Zhang · Shreyas Chaudhari · Bruno Silva

强化学习与后训练OpenReview
作者位次 #5/10ACL 2026Workshop· Natural Language Processing

Test-Time Strategies for More Efficient and Accurate Agentic RAG

Abhinav Sharma · Brian Zhang · Deepti Guntur · Zhiyang Zuo · Shreyas Chaudhari · Wenlong Zhao · Franck Dernoncourt · Puneet Mathur · Ryan A. Rossi · Nedim Lipka

摘要

Retrieval-Augmented Generation (RAG) systems face challenges with complex, multi-hop questions, and iterative agentic frameworks such as Search-R1 (Jin et al., 2025) have been proposed to address these complexities. However, such approaches can introduce inefficiencies, including repetitive retri...

检索与知识评测与基准推理OpenReview 项目页

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