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Heli Qi

ACL 2026×2ICLR 2026强化学习与后训练检索与知识推理智能体与工具评测与基准
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合作网络9
0 一作 · 3 篇 · ACL 2026 / ICLR 2026

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2026 顶会论文

3
作者位次 #3/7ICLR 2026Poster· Reinforcement Learning / Deep RL

DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Tree-based Search

Fang Wu · Weihao Xuan · Heli Qi · Aaron Tu · Ximing Lu · Li Li · Yejin Choi

强化学习与后训练检索与知识OpenReview
作者位次 #3/6ACL 2026Poster· Natural Language Processing

The Confidence Dichotomy: Analyzing and Mitigating Miscalibration in Tool-Use Agents

Weihao Xuan · Qingcheng Zeng · Heli Qi · Yunze Xiao · Junjue Wang · Naoto Yokoya

摘要

Autonomous agents based on large language models (LLMs) are rapidly evolving to handle multi-turn tasks, but ensuring their trustworthiness remains a critical challenge. A fundamental pillar of this trustworthiness is calibration, which refers to an agent’s ability to express confidence that reli...

强化学习与后训练推理智能体与工具OpenReview 项目页
作者位次 #4/9ACL 2026Findings· Findings of ACL

Code-Switching Information Retrieval: Benchmarks, Analysis, and the Limits of Current Retrievers

Qingcheng Zeng · Yuheng Lu · Zeqi Zhou · Heli Qi · Puxuan Yu · Fuheng Zhao · Hitomi Yanaka · Weihao Xuan · Naoto Yokoya

摘要

Code-switching is a pervasive linguistic phenomenon in global communication, yet modern information retrieval systems remain predominantly designed for, and evaluated within, monolingual contexts. To bridge this critical disconnect, we present a holistic study dedicated to code-switching IR. We i...

评测与基准多语言与语言学数据与预训练OpenReview 项目页

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