Xiangkun Hu

According to our database, Xiangkun Hu authored at least 32 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

DatasetResearch: Benchmarking Agent Systems for Demand-Driven Dataset Discovery.

Keyu Li, Mohan Jiang, Dayuan Fu, Yunze Wu, Xiangkun Hu, Dequan Wang, Pengfei Liu

CoRR, August, 2025

AlphaGo Moment for Model Architecture Discovery.

Yixiu Liu, Yang Nan, Weixian Xu, Xiangkun Hu, Lyumanshan Ye, Zhen Qin, Pengfei Liu

CoRR, July, 2025

ResearcherBench: Evaluating Deep AI Research Systems on the Frontiers of Scientific Inquiry.

Tianze Xu, Pengrui Lu, Lyumanshan Ye, Xiangkun Hu, Pengfei Liu

CoRR, July, 2025

Interaction as Intelligence: Deep Research With Human-AI Partnership.

Lyumanshan Ye, Xiaojie Cai, Xinkai Wang, Junfei Wang, Xiangkun Hu, Jiadi Su, Yang Nan, Sihan Wang, Bohan Zhang, Xiaoze Fan, Jinbin Luo, Yuxiang Zheng, Tianze Xu, Dayuan Fu, Yunze Wu, Pengrui Lu, Zengzhi Wang, Yiwei Qin, Zhen Huang, Yan Ma, Zhulin Hu, Haoyang Zou, Tiantian Mi, Yixin Ye, Ethan Chern, Pengfei Liu

CoRR, July, 2025

Quantifying Fairness in LLMs Beyond Tokens: A Semantic and Statistical Perspective.

Weijie Xu, Yiwen Wang, Chi Xue, Xiangkun Hu, Xi Fang, Guimin Dong, Chandan K. Reddy

CoRR, June, 2025

Explicit Preference Optimization: No Need for an Implicit Reward Model.

Xiangkun Hu, Lemin Kong, Tong He, David Wipf

CoRR, June, 2025

Generative AI Act II: Test Time Scaling Drives Cognition Engineering.

Shijie Xia, Yiwei Qin, Xuefeng Li, Yan Ma, Run-Ze Fan, Steffi Chern, Haoyang Zou, Fan Zhou, Xiangkun Hu, Jiahe Jin, Yanheng He, Yixin Ye, Yixiu Liu, Pengfei Liu

CoRR, April, 2025

DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments.

Yuxiang Zheng, Dayuan Fu, Xiangkun Hu, Xiaojie Cai, Lyumanshan Ye, Pengrui Lu, Pengfei Liu

CoRR, April, 2025

CCDFormer: A dual-backbone complex crack detection network with transformer.

Xiangkun Hu, Hua Li, Yixiong Feng, Songrong Qian, Jian Li, Shaobo Li

Pattern Recognit., 2025

NovelQA: Benchmarking Question Answering on Documents Exceeding 200K Tokens.

Cunxiang Wang, Ruoxi Ning, Boqi Pan, Tonghui Wu, Qipeng Guo, Cheng Deng, Guangsheng Bao, Xiangkun Hu, Zheng Zhang, Qian Wang, Yue Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Common Learning Constraints Alter Interpretations of Direct Preference Optimization.

Lemin Kong, Xiangkun Hu, Tong He, David Wipf

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

PerSphere: A Comprehensive Framework for Multi-Faceted Perspective Retrieval and Summarization.

Yun Luo, Yingjie Li, Xiangkun Hu, Qinglin Qi, Fang Guo, Qipeng Guo, Zheng Zhang, Yue Zhang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

PC Agent: While You Sleep, AI Works - A Cognitive Journey into Digital World.

Yanheng He, Jiahe Jin, Shijie Xia, Jiadi Su, Run-Ze Fan, Haoyang Zou, Xiangkun Hu, Pengfei Liu

CoRR, 2024

New Desiderata for Direct Preference Optimization.

Xiangkun Hu, Tong He, David Wipf

CoRR, 2024

RefChecker: Reference-based Fine-grained Hallucination Checker and Benchmark for Large Language Models.

Xiangkun Hu, Dongyu Ru, Lin Qiu, Qipeng Guo, Tianhang Zhang, Yang Xu, Yun Luo, Pengfei Liu, Yue Zhang, Zheng Zhang

CoRR, 2024

RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation.

Dongyu Ru, Lin Qiu, Xiangkun Hu, Tianhang Zhang, Peng Shi, Shuaichen Chang, Cheng Jiayang, Cunxiang Wang, Shichao Sun, Huanyu Li, Zizhao Zhang, Binjie Wang, Jiarong Jiang, Tong He, Zhiguo Wang, Pengfei Liu, Yue Zhang, Zheng Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Can Language Models Learn to Skip Steps?

Tengxiao Liu, Qipeng Guo, Xiangkun Hu, Cheng Jiayang, Yue Zhang, Xipeng Qiu, Zheng Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Knowledge-Centric Hallucination Detection.

Xiangkun Hu, Dongyu Ru, Lin Qiu, Qipeng Guo, Tianhang Zhang, Yang Xu, Yun Luo, Pengfei Liu, Yue Zhang, Zheng Zhang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Synergetic Event Understanding: A Collaborative Approach to Cross-Document Event Coreference Resolution with Large Language Models.

Qingkai Min, Qipeng Guo, Xiangkun Hu, Songfang Huang, Zheng Zhang, Yue Zhang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Evaluating Open-QA Evaluation.

Cunxiang Wang, Sirui Cheng, Qipeng Guo, Yuanhao Yue, Bowen Ding, Zhikun Xu, Yidong Wang, Xiangkun Hu, Zheng Zhang, Yue Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Artificial intelligence based trust management for vehicular networks using blockchain.

Xiangkun Hu

Proceedings of the 8th International Conference on Information Systems Engineering, 2023

Plan, Verify and Switch: Integrated Reasoning with Diverse X-of-Thoughts.

Tengxiao Liu, Qipeng Guo, Yuqing Yang, Xiangkun Hu, Yue Zhang, Xipeng Qiu, Zheng Zhang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Exploiting Abstract Meaning Representation for Open-Domain Question Answering.

Cunxiang Wang, Zhikun Xu, Qipeng Guo, Xiangkun Hu, Xuefeng Bai, Zheng Zhang, Yue Zhang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Dual Cache for Long Document Neural Coreference Resolution.

Qipeng Guo, Xiangkun Hu, Yue Zhang, Xipeng Qiu, Zheng Zhang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

An AMR-based Link Prediction Approach for Document-level Event Argument Extraction.

Yuqing Yang, Qipeng Guo, Xiangkun Hu, Yue Zhang, Xipeng Qiu, Zheng Zhang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Towards Collaborative Question Answering: A Preliminary Study.

Xiangkun Hu, Hang Yan, Qipeng Guo, Xipeng Qiu, Weinan Zhang, Zheng Zhang

CoRR, 2022

BART-Reader: Predicting Relations Between Entities via Reading Their Document-Level Context Information.

Hang Yan, Yu Sun, Junqi Dai, Xiangkun Hu, Qipeng Guo, Xipeng Qiu, Xuanjing Huang

Proceedings of the Natural Language Processing and Chinese Computing, 2022

RLET: A Reinforcement Learning Based Approach for Explainable QA with Entailment Trees.

Tengxiao Liu, Qipeng Guo, Xiangkun Hu, Yue Zhang, Xipeng Qiu, Zheng Zhang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Dialogue Meaning Representation for Task-Oriented Dialogue Systems.

Xiangkun Hu, Junqi Dai, Hang Yan, Yi Zhang, Qipeng Guo, Xipeng Qiu, Zheng Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Co-Attention Memory Network for Multimodal Microblog's Hashtag Recommendation.

Renfeng Ma, Xipeng Qiu, Qi Zhang, Xiangkun Hu, Yu-Gang Jiang, Xuanjing Huang

IEEE Trans. Knowl. Data Eng., 2021

2019

Hot Topic-Aware Retweet Prediction with Masked Self-attentive Model.

Renfeng Ma, Xiangkun Hu, Qi Zhang, Xuanjing Huang, Yu-Gang Jiang

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

2018

Incorporating Argument-Level Interactions for Persuasion Comments Evaluation using Co-attention Model.

Lu Ji, Zhongyu Wei, Xiangkun Hu, Yang Liu, Qi Zhang, Xuanjing Huang

Proceedings of the 27th International Conference on Computational Linguistics, 2018