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From the 2 of 34 linked papers with an AI index.

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34 papers

cs.IR2026

From Trajectories to Evidence: Auditable Experimental Records for Industrial Research Agents

Zijie Zhuang, Changxin Lao, Pengbo Xu +13

Research agents increasingly conduct multi-round machine-learning experiments in industrial recommendation settings and retain the resulting trajectories to guide later decisions.…

cs.IR2026

WhisperRec: Latent Reasoning for Efficient Foundation Recommendation Models

Hao Jiang, Peiru Du, Pengfei Yao +10

The paper presents WhisperRec, a framework that compresses teacher-generated chain‑of‑thought explanations into learnable latent tokens, allowing recommendation models to reason in…

cs.IR2026

Multi-Decoder OneRec: Controllable Generative Retrieval for Multi-Objective Industrial Recommendation

You Wang, Zhao Liu, Guoping Tang +11

The paper introduces Multi-Decoder OneRec, a generative retrieval system that uses shared user-context representations and separate lightweight decoder modules for different recomm…

cs.IR2026

RECAP: Feedback-Driven Streaming Semantic User Profiles for Short-Video Recommendation

Ziyi Zhao, Xiaoyou Zhou, Xiao Lv +13

Language-based user profiles convert long behavioral histories into explicit semantic representations for recommendation. However, most profile generators are optimized in an open…

cs.CL2026

Kwai Summary Attention Technical Report

Chenglong Chu, Guorui Zhou, Guowang Zhang +35

Long-context ability, has become one of the most important iteration direction of next-generation Large Language Models, particularly in semantic understanding/reasoning, code agen…

cs.IR2026

From Extraction to Navigation: Progressive Retrieval with Indirectly Infinite Depth

Linxiao Che, Shanshan Huang, Haitao Lu +6

Modern large-scale recommender retrieval is shifting from static similarity matching to dynamic item space navigation, framing retrieval as iterative goal-driven graph traversal. C…