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Gaowen Liu

NeurIPS 2026×3ACL 2026×2评测与基准强化学习与后训练多模态效率与系统检索与知识
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0 一作 · 5 篇 · NeurIPS 2026 / ACL 2026

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2026 顶会论文

5
作者位次 #7/8ACL 2026Poster· Natural Language Processing

Bidirectional LM s are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection

Yuwei Zhang · Wenhao Yu · Shangbin Feng · Yifan Zhu · Letian Peng · Jayanth Srinivasa · Gaowen Liu · Jingbo Shang

摘要

Despite significant advances in large language models (LLMs), their knowledge memorization capabilities remain underexplored, due to the lack of standardized and high-quality testing grounds. In this paper, we introduce a novel, real-world and large-scale knowledge injection benchmark that contin...

检索与知识评测与基准数据与预训练OpenReview 项目页
作者位次 #4/7ACL 2026Findings· Findings of ACL

FAMA : Failure-Aware Meta-Agentic Framework for Open-Source LLM s in Interactive Tool Use Environments

Amir Saeidi · Venkatesh Mishra · Souradeep Mukhopadhyay · Gaowen Liu · Ali Payani · Jayanth Srinivasa · Chitta Baral

摘要

Large Language Models are being increasingly deployed as the decision-making core of autonomous agents capable of effecting change in external environments. Yet, in conversational benchmarks, which simulate real-world customer-centric issue resolution scenarios, these agents frequently fail due t...

智能体与工具评测与基准可解释性OpenReview 项目页

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