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Haoming Li

SIGIR 2026×2ACL 2026对齐与偏好智能体与工具强化学习与后训练推理效率与系统
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合作网络3
0 一作 · 3 篇 · SIGIR 2026 / ACL 2026

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2026 顶会论文

3
作者位次 #5/9ACL 2026Poster· ACL Industry Track

I ce B reaker for Conversational Agents: Breaking the First-Message Barrier with Personalized Starters

Hongwei Zheng · Weiqi Wu · Zhengjia Wang · Guanyu Jiang · Haoming Li · Tianyu Wu · Yongchun Zhu · Jingwu Chen · Feng Zhang

摘要

Conversational agents, such as ChatGPT and Doubao, have become essential daily assistants for billions of users. To further enhance engagement, these systems are evolving from passive responders to proactive companions. However, existing efforts focus on activation within ongoing dialogues, while...

对齐与偏好智能体与工具强化学习与后训练OpenReview 项目页
作者位次 #4/7SIGIR 2026Poster· Information Retrieval (Industry)

Cross-Domain Preference Transfer for Promoting Engagement with Built-in Chatbots

Tianyu Wu · Guanyu Jiang · Hongwei Zheng · Haoming Li · Yongchun Zhu · Jingwu Chen · Feng Zhang

摘要

Recent advances in large language models have led to the widespread integration of chatbots as built-in features in modern applications. To model user latent intent and provide topic guidance, the question recommendation task serves as the entry point for built-in chatbots. In content-consuming a...

对齐与偏好推理效率与系统OpenReview
作者位次 #2/7SIGIR 2026Poster· Information Retrieval (Industry)

Bridging Passive and Active: Enhancing Conversation Starter Recommendation via Active Expression Modeling

Yiqing Wu · Haoming Li · Guanyu Jiang · Jiahao Liang · Yongchun Zhu · Jingwu Chen · Feng Zhang

摘要

Large Language Model (LLM)-driven conversational search is shifting information retrieval from reactive keyword matching to proactive, open-ended dialogues. In this context, Conversation Starters are widely deployed to provide personalized query recommendations that help users initiate dialogues....

对齐与偏好安全检索与知识OpenReview

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