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Prafulla Kumar Choubey

ACL 2026×2ICLR 2026×2强化学习与后训练智能体与工具评测与基准多模态数据与预训练
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2 一作 · 4 篇 · ACL 2026 / ICLR 2026

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2026 顶会论文

4
作者位次 #3/7ACL 2026Poster· Natural Language Processing

GTA : Generating Long-horizon Tasks for Web Agents at Scale

Tenghao Huang · Kung-Hsiang Huang · Prafulla Kumar Choubey · Yilun Zhou · Muhao Chen · Jonathan May · Chien-Sheng Wu

摘要

Web agents, which couple language models with browsing and tool-use capabilities, show promise as open web assistants. Yet progress is increasingly limited by the lack of scalable, process-level supervision. Existing benchmarks are largely manually constructed , providing only coarse start–goal a...

智能体与工具评测与基准社会与人本OpenReview 项目页
一作ACL 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

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