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Xiangkun Hu
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2020 – today
- 2026
- [j3]Cunxiang Wang
, Xiaoze Liu
Survey on Factuality in Large Language Models. ACM Comput. Surv. 58(1): 13:1-13:37 (2026) - [c22]Lyumanshan Ye
Interaction as Intelligence: A Transparent, Fine-Grained Multi-Agent Deep Research System for Human-Agent Collaboration. CHI Extended Abstracts 2026: 404:1-404:12 - 2025
- [j2]Xiangkun Hu
CCDFormer: A dual-backbone complex crack detection network with transformer. Pattern Recognit. 161: 111251 (2025) - [c21]Yun Luo, Yingjie Li, Xiangkun Hu, Qinglin Qi, Fang Guo, Qipeng Guo, Zheng Zhang, Yue Zhang:
PerSphere: A Comprehensive Framework for Multi-Faceted Perspective Retrieval and Summarization. ACL (1) 2025: 21790-21805 - [c20]Lemin Kong, Xiangkun Hu, Tong He, David Wipf:
Common Learning Constraints Alter Interpretations of Direct Preference Optimization. AISTATS 2025: 2215-2223 - [c19]Yuxiang Zheng, Dayuan Fu, Xiangkun Hu, Xiaojie Cai, Lyumanshan Ye, Pengrui Lu, Pengfei Liu:
DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments. EMNLP 2025: 414-431 - [c18]Qingkai Min, Zitian Qu, Qipeng Guo, Xiangkun Hu, Zheng Zhang, Yue Zhang:
Multi-Document Event Extraction Using Large and Small Language Models. EMNLP 2025: 19254-19285 - [c17]Cunxiang Wang, Ruoxi Ning, Boqi Pan, Tonghui Wu, Qipeng Guo, Cheng Deng, Guangsheng Bao, Xiangkun Hu, Zheng Zhang, Qian Wang, Yue Zhang:
NovelQA: Benchmarking Question Answering on Documents Exceeding 200K Tokens. ICLR 2025 - [c16]Xiangkun Hu, Lemin Kong, Tong He, David Wipf:
Explicit Preference Optimization: No Need for an Implicit Reward Model. ICML 2025 - [i22]Yuxiang Zheng, Dayuan Fu, Xiangkun Hu, Xiaojie Cai, Lyumanshan Ye, Pengrui Lu, Pengfei Liu:
DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments. CoRR abs/2504.03160 (2025) - [i21]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:
Generative AI Act II: Test Time Scaling Drives Cognition Engineering. CoRR abs/2504.13828 (2025) - [i20]Xiangkun Hu, Lemin Kong, Tong He, David Wipf:
Explicit Preference Optimization: No Need for an Implicit Reward Model. CoRR abs/2506.07492 (2025) - [i19]Weijie Xu, Yiwen Wang, Chi Xue, Xiangkun Hu, Xi Fang, Guimin Dong, Chandan K. Reddy
Quantifying Fairness in LLMs Beyond Tokens: A Semantic and Statistical Perspective. CoRR abs/2506.19028 (2025) - [i18]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:
Interaction as Intelligence: Deep Research With Human-AI Partnership. CoRR abs/2507.15759 (2025) - [i17]Tianze Xu, Pengrui Lu, Lyumanshan Ye, Xiangkun Hu, Pengfei Liu:
ResearcherBench: Evaluating Deep AI Research Systems on the Frontiers of Scientific Inquiry. CoRR abs/2507.16280 (2025) - [i16]Yixiu Liu, Yang Nan, Weixian Xu, Xiangkun Hu, Lyumanshan Ye, Zhen Qin, Pengfei Liu:
AlphaGo Moment for Model Architecture Discovery. CoRR abs/2507.18074 (2025) - [i15]Keyu Li, Mohan Jiang, Dayuan Fu, Yunze Wu, Xiangkun Hu, Dequan Wang, Pengfei Liu:
DatasetResearch: Benchmarking Agent Systems for Demand-Driven Dataset Discovery. CoRR abs/2508.06960 (2025) - [i14]Yunze Wu, Dayuan Fu, Weiye Si, Zhen Huang, Mohan Jiang, Keyu Li, Shijie Xia, Jie Sun, Tianze Xu, Xiangkun Hu, Pengrui Lu, Xiaojie Cai, Lyumanshan Ye, Wenhong Zhu, Yang Xiao, Pengfei Liu:
InnovatorBench: Evaluating Agents' Ability to Conduct Innovative LLM Research. CoRR abs/2510.27598 (2025) - 2024
- [c15]Qingkai Min, Qipeng Guo, Xiangkun Hu, Songfang Huang, Zheng Zhang, Yue Zhang:
Synergetic Event Understanding: A Collaborative Approach to Cross-Document Event Coreference Resolution with Large Language Models. ACL (1) 2024: 2985-3002 - [c14]Xiangkun Hu, Dongyu Ru, Lin Qiu, Qipeng Guo, Tianhang Zhang, Yang Xu, Yun Luo, Pengfei Liu, Yue Zhang, Zheng Zhang:
Knowledge-Centric Hallucination Detection. EMNLP 2024: 6953-6975 - [c13]Tengxiao Liu, Qipeng Guo, Xiangkun Hu, Cheng Jiayang, Yue Zhang, Xipeng Qiu, Zheng Zhang:
Can Language Models Learn to Skip Steps? NeurIPS 2024 - [c12]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:
RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation. NeurIPS 2024 - [i13]Xiangkun Hu, Dongyu Ru, Lin Qiu, Qipeng Guo, Tianhang Zhang, Yang Xu, Yun Luo, Pengfei Liu, Yue Zhang, Zheng Zhang:
RefChecker: Reference-based Fine-grained Hallucination Checker and Benchmark for Large Language Models. CoRR abs/2405.14486 (2024) - [i12]Qingkai Min, Qipeng Guo, Xiangkun Hu, Songfang Huang, Zheng Zhang, Yue Zhang:
Synergetic Event Understanding: A Collaborative Approach to Cross-Document Event Coreference Resolution with Large Language Models. CoRR abs/2406.02148 (2024) - [i11]Xiangkun Hu, Tong He, David Wipf:
New Desiderata for Direct Preference Optimization. CoRR abs/2407.09072 (2024) - [i10]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:
RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation. CoRR abs/2408.08067 (2024) - [i9]Tengxiao Liu, Qipeng Guo, Xiangkun Hu, Cheng Jiayang, Yue Zhang, Xipeng Qiu, Zheng Zhang:
Can Language Models Learn to Skip Steps? CoRR abs/2411.01855 (2024) - [i8]Yun Luo, Yingjie Li, Xiangkun Hu, Qinglin Qi, Fang Guo, Qipeng Guo, Zheng Zhang, Yue Zhang:
PerSphere: A Comprehensive Framework for Multi-Faceted Perspective Retrieval and Summarization. CoRR abs/2412.12588 (2024) - [i7]Yanheng He, Jiahe Jin, Shijie Xia, Jiadi Su, Run-Ze Fan, Haoyang Zou, Xiangkun Hu, Pengfei Liu:
PC Agent: While You Sleep, AI Works - A Cognitive Journey into Digital World. CoRR abs/2412.17589 (2024) - 2023
- [c11]Cunxiang Wang, Zhikun Xu, Qipeng Guo, Xiangkun Hu
Exploiting Abstract Meaning Representation for Open-Domain Question Answering. ACL (Findings) 2023: 2083-2096 - [c10]Yuqing Yang, Qipeng Guo, Xiangkun Hu
An AMR-based Link Prediction Approach for Document-level Event Argument Extraction. ACL (1) 2023: 12876-12889 - [c9]Qipeng Guo, Xiangkun Hu, Yue Zhang, Xipeng Qiu, Zheng Zhang:
Dual Cache for Long Document Neural Coreference Resolution. ACL (1) 2023: 15272-15285 - [c8]Tengxiao Liu, Qipeng Guo, Yuqing Yang, Xiangkun Hu, Yue Zhang, Xipeng Qiu, Zheng Zhang:
Plan, Verify and Switch: Integrated Reasoning with Diverse X-of-Thoughts. EMNLP 2023: 2807-2822 - [c7]Xiangkun Hu:
Artificial intelligence based trust management for vehicular networks using blockchain. ICISE 2023: 543-548 - [c6]Cunxiang Wang, Sirui Cheng, Qipeng Guo, Yuanhao Yue, Bowen Ding, Zhikun Xu, Yidong Wang, Xiangkun Hu, Zheng Zhang, Yue Zhang:
Evaluating Open-QA Evaluation. NeurIPS 2023 - [i6]Cunxiang Wang, Zhikun Xu, Qipeng Guo, Xiangkun Hu, Xuefeng Bai, Zheng Zhang, Yue Zhang:
Exploiting Abstract Meaning Representation for Open-Domain Question Answering. CoRR abs/2305.17050 (2023) - [i5]Yuqing Yang, Qipeng Guo, Xiangkun Hu, Yue Zhang, Xipeng Qiu, Zheng Zhang:
An AMR-based Link Prediction Approach for Document-level Event Argument Extraction. CoRR abs/2305.19162 (2023) - [i4]Tengxiao Liu, Qipeng Guo, Yuqing Yang, Xiangkun Hu, Yue Zhang, Xipeng Qiu, Zheng Zhang:
Plan, Verify and Switch: Integrated Reasoning with Diverse X-of-Thoughts. CoRR abs/2310.14628 (2023) - 2022
- [c5]Xiangkun Hu, Junqi Dai, Hang Yan, Yi Zhang, Qipeng Guo, Xipeng Qiu, Zheng Zhang:
Dialogue Meaning Representation for Task-Oriented Dialogue Systems. EMNLP (Findings) 2022: 223-237 - [c4]Tengxiao Liu, Qipeng Guo, Xiangkun Hu, Yue Zhang, Xipeng Qiu, Zheng Zhang:
RLET: A Reinforcement Learning Based Approach for Explainable QA with Entailment Trees. EMNLP 2022: 7177-7189 - [c3]Hang Yan, Yu Sun, Junqi Dai, Xiangkun Hu, Qipeng Guo, Xipeng Qiu, Xuanjing Huang
BART-Reader: Predicting Relations Between Entities via Reading Their Document-Level Context Information. NLPCC (1) 2022: 159-171 - [i3]Xiangkun Hu, Hang Yan, Qipeng Guo, Xipeng Qiu, Weinan Zhang, Zheng Zhang:
Towards Collaborative Question Answering: A Preliminary Study. CoRR abs/2201.09708 (2022) - [i2]Xiangkun Hu, Junqi Dai, Hang Yan, Yi Zhang, Qipeng Guo, Xipeng Qiu, Zheng Zhang:
Dialogue Meaning Representation for Task-Oriented Dialogue Systems. CoRR abs/2204.10989 (2022) - [i1]Tengxiao Liu, Qipeng Guo, Xiangkun Hu, Yue Zhang, Xipeng Qiu, Zheng Zhang:
RLET: A Reinforcement Learning Based Approach for Explainable QA with Entailment Trees. CoRR abs/2210.17095 (2022) - 2021
- [j1]Renfeng Ma
Co-Attention Memory Network for Multimodal Microblog's Hashtag Recommendation. IEEE Trans. Knowl. Data Eng. 33(2): 388-400 (2021)
2010 – 2019
- 2019
- [c2]Renfeng Ma, Xiangkun Hu, Qi Zhang, Xuanjing Huang
Hot Topic-Aware Retweet Prediction with Masked Self-attentive Model. SIGIR 2019: 525-534 - 2018
- [c1]Lu Ji, Zhongyu Wei, Xiangkun Hu, Yang Liu, Qi Zhang, Xuanjing Huang:
Incorporating Argument-Level Interactions for Persuasion Comments Evaluation using Co-attention Model. COLING 2018: 3703-3714
Coauthor Index
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last updated on 2026-04-23 01:22 CEST by the dblp team
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