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20232026
most citedLarge Language Models for Intent-Driven Session Recommendations

35 citations · 41 across the 21 of their papers we have counts for

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8 papers · 1 filter

cs.LG2025

Analytical Survey of Learning with Low-Resource Data: From Analysis to Investigation

Xiaofeng Cao, Mingwei Xu, Xin Yu +8

Learning with high-resource data has demonstrated substantial success in artificial intelligence (AI); however, the costs associated with data annotation and model training remain…

cs.LG2025

Lifelong Learner: Discovering Versatile Neural Solvers for Vehicle Routing Problems

Shaodi Feng, Zhuoyi Lin, Jianan Zhou +5

Deep learning has been extensively explored to solve vehicle routing problems (VRPs), which yields a range of data-driven neural solvers with promising outcomes. However, most neur…

cs.LG2025

Scalable Structure Learning of Bayesian Networks by Learning Algorithm Ensembles

Shengcai Liu, Hui Ou-yang, Zhiyuan Wang +4

Learning the structure of Bayesian networks (BNs) from data is challenging, especially for datasets involving a large number of variables. The recently proposed divide-and-conquer…

cs.LG2025★ 1 cited

Safe Delta: Consistently Preserving Safety when Fine-Tuning LLMs on Diverse Datasets

Ning Lu, Shengcai Liu, Jiahao Wu +5

Large language models (LLMs) have shown great potential as general-purpose AI assistants across various domains. To fully leverage this potential in specific applications, many com…

cs.LG2025

Uncertain Multi-Objective Recommendation via Orthogonal Meta-Learning Enhanced Bayesian Optimization

Hongxu Wang, Zhu Sun, Yingpeng Du +3

Recommender systems (RSs) play a crucial role in shaping our digital interactions, influencing how we access and engage with information across various domains. Traditional researc…

cs.LG2024

Learning Structurally Stabilized Representations for Multi-modal Lossless DNA Storage

Ben Cao, Tiantian He, Xue Li +4

In this paper, we present Reed-Solomon coded single-stranded representation learning (RSRL), a novel end-to-end model for learning representations for multi-modal lossless DNA stor…