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Sirui Chen

ACL 2026×2ICML 2026×2强化学习与后训练推理效率与系统智能体与工具检索与知识
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0 一作 · 4 篇 · ACL 2026 / ICML 2026

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2026 顶会论文

4
作者位次 #2/4ICML 2026Poster· Reinforcement Learning / Deep RL

Auto-regressive In-context Demonstration Selection

Yunzhe Qi · Sirui Chen · Jiaru Zou · Jingrui He

强化学习与后训练OpenReview
作者位次 #2/8ACL 2026Poster· Natural Language Processing

Prune as You Generate: Online Rollout Pruning for Faster and Better RLVR

Haobo Xu · Sirui Chen · Ruizhong Qiu · Yuchen Yan · Chen Luo · Monica Xiao Cheng · Jingrui He · Hanghang Tong

摘要

Reinforcement Learning with Verifiable Rewards (RLVR) has significantly advanced the reasoning capabilities of Large Language Models (LLMs). However, methods such as GRPO and DAPO suffer from substantial computational cost, since they rely on sampling many rollouts for each prompt. Moreover, in R...

强化学习与后训练效率与系统推理OpenReview 项目页
作者位次 #3/8ACL 2026Findings· Findings of ACL

RAG over Tables: Hierarchical Memory Index, Multi-Stage Retrieval, and Benchmarking

Jiaru Zou · Dongqi Fu · Sirui Chen · Xinrui He · Zihao Li · Yada Zhu · Jiawei Han · Jingrui He

摘要

Retrieval-Augmented Generation (RAG) enhances Large Language Models (LLMs) by integrating them with an external knowledge base to improve the answer relevance and accuracy. In real-world scenarios, beyond pure text, a substantial amount of knowledge is stored in tables, and user questions often r...

检索与知识效率与系统评测与基准OpenReview 项目页

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