Dan Yang

Orcid: 0000-0002-0069-3893

Affiliations:
  • Ant Group, Hangzhou, China


According to our database1, Dan Yang authored at least 18 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
CTRL-RAG: Contrastive Likelihood Reward Based Reinforcement Learning for Context-Faithful RAG Models.
CoRR, March, 2026

WebClipper: Efficient Evolution of Web Agents with Graph-based Trajectory Pruning.
CoRR, February, 2026

PRGB Benchmark: A Robust Placeholder-Assisted Algorithm for Benchmarking Retrieval-Augmented Generation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
A Medical Multimodal Diagnostic Framework Integrating Vision-Language Models and Logic Tree Reasoning.
CoRR, December, 2025

GroupRank: A Groupwise Reranking Paradigm Driven by Reinforcement Learning.
CoRR, November, 2025

HANRAG: Heuristic Accurate Noise-resistant Retrieval-Augmented Generation for Multi-hop Question Answering.
CoRR, September, 2025

DIVER: A Multi-Stage Approach for Reasoning-intensive Information Retrieval.
CoRR, August, 2025

PRGB Benchmark: A Robust Placeholder-Assisted Algorithm for Benchmarking Retrieval-Augmented Generation.
CoRR, July, 2025

POLYRAG: Integrating Polyviews into Retrieval-Augmented Generation for Medical Applications.
CoRR, April, 2025

Effectively PAIRing LLMs with Online Marketing via Progressive Prompting Augmentation.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024
Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts.
CoRR, 2024

Know Your Needs Better: Towards Structured Understanding of Marketer Demands with Analogical Reasoning Augmented LLMs.
CoRR, 2024

Know Your Needs Better: Towards Structured Understanding of Marketer Demands with Analogical Reasoning Augmented LLMs.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
Making Large Language Models Better Knowledge Miners for Online Marketing with Progressive Prompting Augmentation.
CoRR, 2023

Movie Ticket, Popcorn, and Another Movie Next Weekend: Time-Aware Service Sequential Recommendation for User Retention.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Who Would be Interested in Services? An Entity Graph Learning System for User Targeting.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023


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