Author

Jianfei Zhao

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Preprint Oct 2026

Autoregressive Retriever: Improving Query Understanding from Item Feedback for Universal Multimodal Retrieval

Universal multimodal retrieval typically encodes a query once and ranks independently indexed items by embedding similarity. This design supports efficient search, but leaves the query representation unchanged even when retrieved items could help clarify the information need. We introduce the AutoRegressive Retriever (...

Jian-Fei Zhao, Yi-Fan Wang, Feng Zhang et al. · 0 citations

#artificial intelligence May 2026

Revisiting Reinforcement Learning with Verifiable Rewards from a Contrastive Perspective

ConSPO is a Contrastive Sequence-level Policy Optimization method that uses length-normalized sequence log-probabilities as rollout scores and contrasts verified positive rollouts against negative distractors within the same group, and outperforms strong baselines on challenging reasoning benchmarks.

Feng Zhang, Xin-Hong Ma, Zi-Qiang Dong et al. · arXiv.org · 1 citation