collaborators

5 papers

cs.IR2026

History-Conditioned Joint-Prefix Alignment for Generative Recommendation

Lianjie Li, Zhiying Tu, Bolin Zhang +3

Generative recommendation retrieves items by autoregressively generating semantic identifiers, but beam search may discard a target before its complete identifier is generated. Our…

cs.IR2026

GARDRec: Decision-Level Graph Grounding for Large Language Model Recommendation

Yong Wang, Hongliang Sun, Jinlan Liu +4

Large language models (LLMs) offer new opportunities for recommendation by interpreting item descriptions, user instructions, and external knowledge through natural-language prompt…

cs.CL2026

Dual-Path LLM Reasoning for Multimodal Few-Shot Knowledge Graph Completion

Jinlan Liu, Zhiying Tu, Yongchao Xing +5

Knowledge graph completion (KGC) aims to infer missing facts in knowledge graphs (KGs), thereby improving their completeness and supporting downstream intelligent applications. How…

cs.CL2026

SkillWiki: A Living Knowledge Infrastructure for Agent Skills

Dingcheng Huang, Yuda Ding, Bingshuo Liu +8

While knowledge is managed through Wikipedia and software through GitHub, agent skills still lack an infrastructure for large-scale production, governance, and evolution. SkillWiki…

cs.PF2024

Plug-and-Play Performance Estimation for LLM Services without Relying on Labeled Data

Can Wang, Dianbo Sui, Hongliang Sun +3

Large Language Model (LLM) services exhibit impressive capability on unlearned tasks leveraging only a few examples by in-context learning (ICL). However, the success of ICL varies…