Author

Hao-Dong Chen

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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

Search, Inspect, Fetch: Exploiting Boolean Retrieval for Deep-Research Agents

This work introduces S IEVE, a search–inspect–fetch strategy built around a Boolean Query Language (BQL), which improves accuracy with every tested ranker, and the accuracy–context advantage persists across retriever choices and agent backbones.

Shuai Wang, Hao-Dong Chen, 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

#artificial intelligence Preprint Feb 2026

Beyond Dense States: Sparse Transcoders as Causally Testable Operators for LLM Latent Reasoning

LSTR (Latent Sparse Transcoder Reasoning), a framework that turns sparse transcoders from post-hoc diagnostic tools into in-loop, intervenable transition components for latent reasoning, and suggests that sparse latent transitions can preserve the compression benefits of latent reasoning while making the resulting traj...

Yadong Wang, Hao-Dong Chen, Yu Tian et al. · 0 citations

Preprint Aug 2026

Knowing but Not Saying: Preventing Factual Access Failures in LLM SFT via Recall-Anchored Distillation

Recall-Anchored Distillation (RAD), a base-anchored self-distillation objective that preserves out-of-distribution generation behavior by aligning the adapted model with the original base model's soft continuation distribution on unlabeled OOD text, is introduced.

Hao-Dong Chen, Yadong Wang, Shengtao Wen et al. · 0 citations

#artificial intelligence Preprint Aug 2026

Search, Inspect, Fetch: Exploiting Structure-Aware Boolean Retrieval for Deep-Search Agents

This work introduces Sieve, a search-inspect-fetch strategy driven by a Boolean Query Language (BQL): it searches webpage fields to filter candidates, uses an interchangeable ranker to order them, presents structure-rich result cards for inspection, and fetches only selected sections.

Shuai Wang, Hao-Dong Chen, Yu Yin et al. · 4 citations