Author

Teerapong Leelanupab

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Preprint Aug 2026

ITER: Interaction-Aware Retrieval for Agentic Search

ITER, an agent interaction-aware dense retriever trained using agent trajectory learning signals, is introduced andlations show that structured interaction history and pre-search reasoning provide complementary retrieval context, while previously visited and useful documents provide the strongest trajectory-relative su...

Hao-Dong Chen, Shuai Wang, Yu Yin et al. · 0 citations

Preprint Aug 2026

ITER: Interaction-Aware Retrieval for Agentic Search

Deep-research agents answer complex user questions through an iterative sequence of search steps, where the agent autonomously formulates sub-queries to retrieve the evidence needed at each stage. However, existing retriever training typically relies only on the sub-query and its corresponding search results at the cur...

Hao-Dong Chen, Shuai Wang, Yu Yin et al. · 0 citations