Tool learning with large language models: a survey.
Frontiers Comput. Sci., August, 2025
Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation.
CoRR, March, 2025
Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents.
CoRR, March, 2025
CHOP: Mobile Operating Assistant with Constrained High-frequency Optimized Subtask Planning.
CoRR, March, 2025
Few-shot LLM Synthetic Data with Distribution Matching.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
Unifying Bias and Unfairness in Information Retrieval: New Challenges in the LLM Era.
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025
From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
CitaLaw: Enhancing LLM with Citations in Legal Domain.
CoRR, 2024
Length-Induced Embedding Collapse in Transformer-based Models.
CoRR, 2024
Source Echo Chamber: Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop.
CoRR, 2024
COLT: Towards Completeness-Oriented Tool Retrieval for Large Language Models.
CoRR, 2024
Unifying Bias and Unfairness in Information Retrieval: A Survey of Challenges and Opportunities with Large Language Models.
CoRR, 2024
UOEP: User-Oriented Exploration Policy for Enhancing Long-Term User Experiences in Recommender Systems.
CoRR, 2024
Reinforcing Long-Term Performance in Recommender Systems with User-Oriented Exploration Policy.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
ReCODE: Modeling Repeat Consumption with Neural ODE.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Neural Retrievers are Biased Towards LLM-Generated Content.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Modeling User Attention in Music Recommendation.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
SAQRec: Aligning Recommender Systems to User Satisfaction via Questionnaire Feedback.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Towards Completeness-Oriented Tool Retrieval for Large Language Models.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
LLMs may Dominate Information Access: Neural Retrievers are Biased Towards LLM-Generated Texts.
CoRR, 2023
Uncovering ChatGPT's Capabilities in Recommender Systems.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
Dually Enhanced Delayed Feedback Modeling for Streaming Conversion Rate Prediction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
A Semi-Synthetic Dataset Generation Framework for Causal Inference in Recommender Systems.
CoRR, 2022
Counteracting User Attention Bias in Music Streaming Recommendation via Reward Modification.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022