发表论文

Publication

• 2024-03-26
  Privacy-Preserving Cross-Domain Recommendation with Federated Graph Learning
  TOIS 2024
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• 2024-03-26
  EulerFormer: Sequential User Behavior Modeling with Complex Vector Attention
  SIGIR 2024
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• 2024-03-19
  Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation
  ICDE 2024
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• 2024-03-14
  Not All Metrics Are Guilty: Improving NLG Evaluation by Diversifying References
  NAACL 2024
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• 2024-02-20
  Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study
  LREC-COLING 2024
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• 2024-02-20
  BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models
  LREC-COLING 2024
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• 2024-02-20
  Enhancing Parameter-efficient Fine-tuning with Simple Calibration based on Stable Rank
  LREC-COLING 2024
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• 2024-02-20
  ChainLM: Empowering Large Language Models with Improved Chain-of-Thought Prompting
  LREC-COLING 2024
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• 2024-01-23
  AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems
  WWW 2024
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• 2024-01-01
  Dense Text Retrieval based on Pretrained Language Models: A Survey
  TOIS 2024
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• 2023-12-10
  Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning
  NeurIPS 2023 Datasets and Benchmarks Track
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• 2023-12-06
  ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph
  EMNLP 2023
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• 2023-12-06
  Evaluating Object Hallucination in Large Vision-Language Models
  EMNLP 2023
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• 2023-12-06
  HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models
  EMNLP 2023
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• 2023-12-06
  Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models
  EMNLP 2023
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• 2023-12-06
  StructGPT: A General Framework for Large Language Model to Reason over Structured Data
  EMNLP 2023
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• 2023-12-06
  Enhancing Scalability of Pre-trained Language Models via Efficient Parameter Sharing
  Findings of EMNLP 2023
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• 2023-12-06
  A Thorough Examination on Zero-shot Dense Retrieval
  Findings of EMNLP 2023
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• 2023-12-06
  Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting
  Findings of EMNLP 2023
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• 2023-12-06
  ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models
  Findings of EMNLP 2023
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• 2023-10-21
  Periodicity May Be Emanative: Hierarchical Contrastive Learning for Sequential Recommendation
  CIKM 2023
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• 2023-10-21
  Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking
  CIKM 2023
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• 2023-10-21
  Multi-modal Mixture of Experts Represetation Learning for Sequential Recommendation
  CIKM 2023
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• 2023-09-18
  Reciprocal Sequential Recommendation
  RecSys 2023
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• 2023-09-18
  Alleviating the Long-Tail Problem in Conversational Recommender Systems
  RecSys 2023
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• 2023-09-18
  Generative Next-Basket Recommendation
  RecSys 2023 Short Paper
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• 2023-09-18
  MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders are Better Dense Retrievers
  ECML-PKDD 2023
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• 2023-08-19
  Diffusion Models for Non-autoregressive Text Generation: A Survey
  IJCAI 2023 Survey Track
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• 2023-08-06
  Improving Conversational Recommendation Systems via Counterfactual Data Simulation
  KDD 2023
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• 2023-08-06
  JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem Solving
  KDD 2023 Applied Data Science Track
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• 2023-07-23
  EulerNet: Adaptive Feature Interaction Learning via Euler's Formula for CTR Prediction
  SIGIR 2023
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• 2023-07-23
  Towards a More User-Friendly and Easy-to-Use Benchmark Library for Recommender Systems
  SIGIR 2023 Resource Paper
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• 2023-07-09
  Periodicity May Be Emanative: Hierarchical Contrastive Learning for Sequential Recommendation
  CIKM 2023
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• 2023-07-09
  Learning to Imagine: Visually-Augmented Natural Language Generation
  ACL 2023
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• 2023-07-09
  TOME: A Two-stage Approach for Model-based Retrieval
  ACL 2023
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• 2023-07-09
  Visually-augmented pretrained language models for NLP tasks without images
  ACL 2023
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• 2023-07-09
  Small Pre-trained Language Models Can be Fine-tuned as Large Models via Over-Parameterization
  ACL 2023
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• 2023-07-09
  MVP: Multi-task Supervised Pre-training for Natural Language Generation
  Findings of ACL 2023
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• 2023-07-09
  The Web Can Be Your Oyster for Improving Language Models
  Findings of ACL 2023
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• 2023-07-09
  Zero-shot Visual Question Answering with Language Model Feedback
  Findings of ACL 2023
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• 2023-04-30
  Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders
  WWW 2023
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• 2023-04-14
  Towards Efficient and Effective Transformers for Sequential Recommendation
  DASFAA 2023
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• 2023-04-08
  Enhancing Multi-View Smoothness for Sequential Recommendation Models
  TOIS 2023
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• 2023-03-01
  UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graph
  ICLR 2023
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• 2023-02-27
  Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation
  WSDM 2023
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• 2023-01-10
  Curriculum Pre-Training Heterogeneous Subgraph Transformer for Top-N Recommendation
  TOIS 2022
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• 2022-12-21
  A Revisiting Study of Appropriate Offline Evaluation for Top-N Recommendation Algorithms
  TOIS 2022
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• 2022-12-07
  ELMER: A Non-Autoregressive Pre-trained Language Model for Efficient and Effective Text Generation
  EMNLP 2022
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• 2022-12-07
  SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval
  EMNLP 2022
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• 2022-12-07
  TextBox 2.0: A Text Generation Library with Pre-trained Language Models
  EMNLP Demo 2022
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