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Jiaxin Zhang

ACL 2026×2ICLR 2026推理强化学习与后训练智能体与工具评测与基准检索与知识
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一作贡献30
核心/参与10
方向广度13
合作网络9
1 一作 · 3 篇 · ACL 2026 / ICLR 2026

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2026 顶会论文

3
作者位次 #4/8ACL 2026Poster· ACL Industry Track

Don’t Stop Early: Scalable Enterprise Deep Research with Controlled Information Flow and Evidence-Aware Termination

Prafulla Kumar Choubey · Kung-Hsiang Huang · Pranav Narayanan Venkit · Jiaxin Zhang · Vaibhav Vats · Yu Li · XIANGYU PENG · Chien-Sheng Wu

摘要

Enterprise deep research often fails to produce decision-ready reports due to uneven information coverage, context explosion, and premature stopping. We propose a scalable Enterprise Deep Research (EDR) architecture to address these failures. Our system (i) decomposes requests into coverage-drive...

评测与基准智能体与工具检索与知识OpenReview 项目页
一作ACL 2026Findings· Findings of ACL

From Passive Metric to Active Signal: The Evolving Role of Uncertainty Quantification in Large Language Models

Jiaxin Zhang · Wendi Cui · Zhuohang Li · Lifu Huang · Bradley A. Malin · Caiming Xiong · Chien-Sheng Wu

摘要

While Large Language Models (LLMs) show remarkable capabilities, their unreliability remains a critical barrier to deployment in high-stakes domains. This survey charts a functional evolution in addressing this challenge: the evolution of uncertainty from a passive diagnostic metric to an active...

智能体与工具强化学习与后训练推理OpenReview 项目页

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