一作ICML 2026Poster· Applications / Language, Speech and Dialog
IntentRL: Training Proactive User-intent Agents for Open-ended Deep Research via Reinforcement Learning
Haohao Luo · Zexi Li · Yuexiang Xie · Wenhao Zhang · Yaliang Li · Ying Shen
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Haohao Luo · Zexi Li · Yuexiang Xie · Wenhao Zhang · Yaliang Li · Ying Shen
Zihao Yi · Zhenqing Ling · Delong Zeng · Haohao Luo · Zhe Xu · WEI LIU · Jian Luan · Wanxia Cao · Ying Shen
The performance of Large Language Models (LLMs) is significantly sensitive to the contextual position of information in the input. To investigate the mechanism behind this positional bias, our extensive experiments reveal a consistent phenomenon we term the attention basin: when presented with a...