Lista de obras -

AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems

scientific article published on 08 May 2024

Alleviating the Long-Tail Problem in Conversational Recommender Systems

artículo científico publicado en 2023

An Analysis on Matching Mechanisms and Token Pruning for Late-interaction Models

artículo científico publicado en 2024

Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time

artículo científico publicado en 2024

Dense Text Retrieval Based on Pretrained Language Models: A Survey

artículo científico publicado en 2023

EulerFormer: Sequential User Behavior Modeling with Complex Vector Attention

artículo científico publicado en 2024

EulerNet: Adaptive Feature Interaction Learning via Euler's Formula for CTR Prediction

artículo científico publicado en 2023

Generative Next-Basket Recommendation

artículo científico publicado en 2023

Improving Conversational Recommendation Systems via Counterfactual Data Simulation

artículo científico publicado en 2023

JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem Solving

artículo científico publicado en 2023

Large Language Model Powered Agents for Information Retrieval

artículo científico publicado en 2024

Large Language Model Powered Agents in the Web

artículo científico publicado en 2024

Law Article-Enhanced Legal Case Matching: A Causal Learning Approach

scientific article published on 19 July 2023

Multi-modal Mixture of Experts Represetation Learning for Sequential Recommendation

artículo científico publicado en 2023

Promoting Two-sided Fairness with Adaptive Weights for Providers and Customers in Recommendation

artículo científico publicado en 2024

ROGER: Ranking-Oriented Generative Retrieval

artículo científico publicado en 2024

Separating Examination and Trust Bias from Click Predictions for Unbiased Relevance Ranking

artículo científico publicado en 2023

Syntactic-Informed Graph Networks for Sentence Matching

artículo científico publicado en 2023

Synthesizing Long-Term Human Motions with Diffusion Models via Coherent Sampling

scientific article published on 27 October 2023

Towards Completeness-Oriented Tool Retrieval for Large Language Models

artículo científico publicado en 2024

Towards a More User-Friendly and Easy-to-Use Benchmark Library for Recommender Systems

artículo científico publicado en 2023

Unbiased Top-$k$ Learning to Rank with Causal Likelihood Decomposition

artículo científico publicado en 2023

Uncovering User Interest from Biased and Noised Watch Time in Video Recommendation

scientific article published on 14 September 2023

Lista de obras de

AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems

Alleviating the Long-Tail Problem in Conversational Recommender Systems

An Analysis on Matching Mechanisms and Token Pruning for Late-interaction Models

Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time

Dense Text Retrieval Based on Pretrained Language Models: A Survey

EulerFormer: Sequential User Behavior Modeling with Complex Vector Attention

EulerNet: Adaptive Feature Interaction Learning via Euler's Formula for CTR Prediction

Generative Next-Basket Recommendation

Improving Conversational Recommendation Systems via Counterfactual Data Simulation

JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem Solving

Large Language Model Powered Agents for Information Retrieval

Large Language Model Powered Agents in the Web

Law Article-Enhanced Legal Case Matching: A Causal Learning Approach

Multi-modal Mixture of Experts Represetation Learning for Sequential Recommendation

Promoting Two-sided Fairness with Adaptive Weights for Providers and Customers in Recommendation

ROGER: Ranking-Oriented Generative Retrieval

Separating Examination and Trust Bias from Click Predictions for Unbiased Relevance Ranking

Syntactic-Informed Graph Networks for Sentence Matching

Synthesizing Long-Term Human Motions with Diffusion Models via Coherent Sampling

Towards Completeness-Oriented Tool Retrieval for Large Language Models

Towards a More User-Friendly and Easy-to-Use Benchmark Library for Recommender Systems

Unbiased Top-$k$ Learning to Rank with Causal Likelihood Decomposition

Uncovering User Interest from Biased and Noised Watch Time in Video Recommendation