activity
20202026
most citedKnowledge Enhanced Multi-intent Transformer Network for Recommendation

24 citations · 33 across the 17 of their papers we have counts for

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7 papers · 1 filter

cs.AI2026

IndustryLLM: Failure-Driven LLM Training for Industrial Procurement

Liang Ding, Zhiang Xu, Yuyang Sheng +13

Industrial procurement requires language models to bridge informal buyer jargon, sparse marketplace attributes, and authoritative engineering standards under strict safety toleranc…

cs.AI2026

Bidirectional Context Self-Distillation for Reinforcement Learning of Skill-Based LLM Agents

Tianjun Pan, Yuan Li, Hongda Wang +8

External natural-language skills provide large language model (LLM) agents with reusable and editable guidance for solving complex tasks. Yet their effectiveness depends not only o…

cs.AI2026

MerchantBench: Benchmarking LLM Agents for Long-Term Coherence in E-Commerce Operations

Qiming Shi, Yulong Tao, Linbo Jin +10

Large language model agents are increasingly evaluated as autonomous tool users, yet most benchmarks focus on bounded tasks with immediate success criteria. Real-world deployments…

cs.AI2026

Beyond Solution-Centric Search: Adaptive Inquiry and Knowledge Revision for Autonomous ML Engineering

Shaokang Fu, Yulong Tao, Linbo Jin +7

Long-horizon autonomous research tasks such as machine learning engineering require systems to make interdependent decisions under a limited budget. Existing LLM-based agents typic…

cs.AI2026

IndustryBench: Probing the Industrial Knowledge Boundaries of LLMs

Songlin Bai, Xintong Wang, Linlin Yu +12

In industrial procurement, an LLM answer is useful only if it survives a standards check: recommended material must match operating condition, every parameter must respect a regula…

cs.AI2021★ 1 cited

Metapaths guided Neighbors aggregated Network for?Heterogeneous Graph Reasoning

Bang Lin, Xiuchong Wang, Yu Dong +3

Most real-world datasets are inherently heterogeneous graphs, which involve a diversity of node and relation types. Heterogeneous graph embedding is to learn the structure and sema…

cs.AI2020

Spending Money Wisely: Online Electronic Coupon Allocation based on Real-Time User Intent Detection

Liangwei Li, Liucheng Sun, Chenwei Weng +2

Online electronic coupon (e-coupon) is becoming a primary tool for e-commerce platforms to attract users to place orders. E-coupons are the digital equivalent of traditional paper…