activity
20232026
most citedDialogBench: Evaluating LLMs as Human-like Dialogue Systems

2 citations · 3 across the 9 of their papers we have counts for

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6 papers · 1 filter

cs.LG2026

Kwai Summary Attention V2 Technical Report

OneRec Team, Chenglong Chu, Guohong Mu +30

Summary-token architectures such as Kwai Summary Attention (KSA) compress distant context into learnable Summary token per chunk, and hybrid variants interleave these layers with f…

cs.IR2026

KUAISHOU Explorer LLM-Rec Challenge 2026: Reasoning Generative Recommendation

Jiangxia Cao, Hao Peng, Wenlong Xu +97

Generative recommendation, has been attracted a surge of attentions in industrial and academic research community, towards to build more smart system to build next-generation recom…

cs.CL2026

Recovering General Capabilities via Uncertainty-Calibrated Multi-Teacher On-Policy Distillation

Ziyuan Liu, Jiao Ou, Jian Liang +2

Specializing large language models to vertical domains improves domain-specific behavior but often degrades general capabilities. We study this trade-off in Multi-Teacher On-Policy…

cs.IR2026

OneReason Technical Report

OneRec Team, Biao Yang, Boyang Ding +81

Generative recommendation models in the OneRec family have been widely deployed in many real-world services, such as short-video, live-streaming, advertising, and e-commerce. Howev…

cs.AI2026

Counteraction-Aware Multi-Teacher On-Policy Distillation for General Capability Recovery with Domain Preservation

Tianlei Chen, Jiao Ou, Ziyuan Liu +3

Domain specialization can improve LLM behavior, but often weakens the general capabilities inherited from the original model. Recent Multi-Teacher On-Policy Distillation (MOPD) pip…

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…