Ding, Bolin

Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation

Gao, D., Wang, H., Li, Y., Sun, X., Qian, Y., Ding, B., & Zhou, J. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 485

Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation

Gao, D., Wang, H., Li, Y., Sun, X., Qian, Y., Ding, B., & Zhou, J. (2024) · Proceedings of the VLDB Endowment

Topic ModelingNatural Language Processing Techniques

Cited by 342

Towards Universal Sequence Representation Learning for Recommender Systems

Hou, Y., Mu, S., Zhao, W. X., Li, Y., Ding, B., & Wen, J.-R. (2022) · Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 313

FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning

Kuang, W., Qian, B., Li, Z., Chen, D., Gao, D., Pan, X., Xie, Y., Li, Y., Ding, B., & Zhou, J. (2024) · Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Privacy-Preserving Technologies in DataTopic Modeling

Cited by 142

Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning

Deng, Y., Li, Y., Sun, F., Ding, B., & Lam, W. (2021) · Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval

Recommender Systems and TechniquesAdvanced Bandit Algorithms Research

Cited by 136

Recommendation Unlearning

Chen, C., Sun, F., Zhang, M., & Ding, B. (2022) · Proceedings of the ACM Web Conference 2022

Privacy-Preserving Technologies in DataRecommender Systems and Techniques

Cited by 110

FederatedScope: A Flexible Federated Learning Platform for Heterogeneity

Xie, Y., Wang, Z., Gao, D., Chen, D., Yao, L., Kuang, W., Li, Y., Ding, B., & Zhou, J. (2023) · Proceedings of the VLDB Endowment

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 84

FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data

Xie, Y., Wang, Z., Li, Y., Ding, B., Gürel, N. M., Zhang, C., Huang, M., Lin, W., & Zhou, J. (2021) · Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining

Recommender Systems and TechniquesAdvanced Graph Neural Networks

Cited by 18

AgentScope: A Flexible yet Robust Multi-Agent Platform

Gao, D., Li, Z., Pan, X., Kuang, W., Ma, Z., Qian, B., Wei, F., Zhang, W., Xie, Y., Chen, D., et al. (2024) · arXiv

Multi-Agent Systems and NegotiationArtificial Intelligence Applications

Cited by 11

What is Wrong with Perplexity for Long-context Language Modeling?

Fang, L., Wang, Y., Liu, Z., Zhang, C., Jegelka, S., Gao, J., Ding, B., & Wang, Y. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2

Remember Me, Refine Me: A Dynamic Procedural Memory Framework for Experience-Driven Agent Evolution

Cao, Z., Deng, J., Yu, L., Zhou, W., Liu, Z., Ding, B., & Zhao, H. (2026) · Findings of the Association for Computational Linguistics: ACL 2026

AI-based Problem Solving and PlanningDomain Adaptation and Few-Shot Learning

Cited by 2

GenSim: A General Social Simulation Platform with Large Language Model based Agents

Tang, J., Gao, H., Pan, X., Wang, L., Tan, H., Gao, D., Chen, Y., Chen, X., Lin, Y., Li, Y., et al. (2024) · arXiv

Multi-Agent Systems and NegotiationSimulation Techniques and Applications

Cited by 1