Xiangkun Hu
Shanghai Innovative Research Center of Traditional Chinese Medicine(CN)
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Software Engineering Research, Advanced Text Analysis Techniques, Advanced Graph Neural Networks
Most-Cited Works
- → Hot Topic-Aware Retweet Prediction with Masked Self-attentive Model(2019)32 cited
- → Co-attention Memory Network for Multimodal Microblog's Hashtag Recommendation(2019)31 cited
- Incorporating Argument-Level Interactions for Persuasion Comments Evaluation using Co-attention Model(2018)
- → An AMR-based Link Prediction Approach for Document-level Event Argument Extraction(2023)25 cited
- → Survey on Factuality in Large Language Models(2025)14 cited
- → Synergetic Event Understanding: A Collaborative Approach to Cross-Document Event Coreference Resolution with Large Language Models(2024)10 cited
- → RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation(2024)9 cited
- → RLET: A Reinforcement Learning Based Approach for Explainable QA with Entailment Trees(2022)8 cited
- → Plan, Verify and Switch: Integrated Reasoning with Diverse X-of-Thoughts(2023)7 cited
- → DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments(2025)6 cited