Incorporating Argument-Level Interactions for Persuasion Comments Evaluation using Co-attention Model. - Lu Ji; Zhongyu Wei; Xiangkun Hu; Yang Liu 004; Qi Zhang 001; Xuanjing Huang 001 (COLING, 2018)

Hot Topic-Aware Retweet Prediction with Masked Self-attentive Model. - Renfeng Ma; Xiangkun Hu; Qi Zhang 001; Xuanjing Huang 001; Yu-Gang Jiang 001 (SIGIR, 2019)

Co-Attention Memory Network for Multimodal Microblog's Hashtag Recommendation. - Renfeng Ma; Xipeng Qiu; Qi Zhang 001; Xiangkun Hu; Yu-Gang Jiang 001; Xuanjing Huang 001 (IEEE Trans. Knowl. Data Eng., 2021)

Dialogue Meaning Representation for Task-Oriented Dialogue Systems. - Xiangkun Hu; Junqi Dai; Hang Yan 001; Yi Zhang; Qipeng Guo; Xipeng Qiu; Zheng Zhang 001 (EMNLP (Findings), 2022)

RLET: A Reinforcement Learning Based Approach for Explainable QA with Entailment Trees. - Tengxiao Liu; Qipeng Guo; Xiangkun Hu; Yue Zhang 004; Xipeng Qiu; Zheng Zhang 001 (EMNLP, 2022)

BART-Reader: Predicting Relations Between Entities via Reading Their Document-Level Context Information. - Hang Yan 001; Yu Sun 031; Junqi Dai; Xiangkun Hu; Qipeng Guo; Xipeng Qiu; Xuanjing Huang 001 (NLPCC (1), 2022)

Towards Collaborative Question Answering: A Preliminary Study. - Xiangkun Hu; Hang Yan 001; Qipeng Guo; Xipeng Qiu; Weinan Zhang 001; Zheng Zhang 001 (CoRR, 2022)

An AMR-based Link Prediction Approach for Document-level Event Argument Extraction. - Yuqing Yang 004; Qipeng Guo; Xiangkun Hu; Yue Zhang 004; Xipeng Qiu; Zheng Zhang 001 (ACL (1), 2023)

Dual Cache for Long Document Neural Coreference Resolution. - Qipeng Guo; Xiangkun Hu; Yue Zhang 004; Xipeng Qiu; Zheng Zhang 001 (ACL (1), 2023)

Exploiting Abstract Meaning Representation for Open-Domain Question Answering. - Cunxiang Wang; Zhikun Xu; Qipeng Guo; Xiangkun Hu; Xuefeng Bai 001; Zheng Zhang 001; Yue Zhang 004 (ACL (Findings), 2023)

Plan, Verify and Switch: Integrated Reasoning with Diverse X-of-Thoughts. - Tengxiao Liu; Qipeng Guo; Yuqing Yang 004; Xiangkun Hu; Yue Zhang 004; Xipeng Qiu; Zheng Zhang 001 (EMNLP, 2023)

Artificial intelligence based trust management for vehicular networks using blockchain. - Xiangkun Hu (ICISE, 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 (NeurIPS, 2023)

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 (ACL (1), 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 (EMNLP, 2024)

Can Language Models Learn to Skip Steps? - Tengxiao Liu; Qipeng Guo; Xiangkun Hu; Cheng Jiayang; Yue Zhang 004; Xipeng Qiu; Zheng Zhang 001 (NeurIPS, 2024)

RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation. - Dongyu Ru; Lin Qiu; Xiangkun Hu; Tianhang Zhang; Peng Shi 010; Shuaichen Chang; Cheng Jiayang; Cunxiang Wang; Shichao Sun; Huanyu Li 010; Zizhao Zhang; Binjie Wang; et al. (NeurIPS, 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)

New Desiderata for Direct Preference Optimization. - Xiangkun Hu; Tong He 002; David Wipf (CoRR, 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 003 (CoRR, 2024)

PerSphere: A Comprehensive Framework for Multi-Faceted Perspective Retrieval and Summarization. - Yun Luo; Yingjie Li 008; Xiangkun Hu; Qinglin Qi; Fang Guo; Qipeng Guo; Zheng Zhang 001; Yue Zhang 004 (ACL (1), 2025)

Common Learning Constraints Alter Interpretations of Direct Preference Optimization. - Lemin Kong; Xiangkun Hu; Tong He 002; David Wipf (AISTATS, 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 001; Qian Wang; Yue Zhang 004 (ICLR, 2025)

CCDFormer: A dual-backbone complex crack detection network with transformer. - Xiangkun Hu; Hua Li; Yixiong Feng; Songrong Qian; Jian Li; Shaobo Li 001 (Pattern Recognit., 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 003 (CoRR, 2025)

Generative AI Act II: Test Time Scaling Drives Cognition Engineering. - Shijie Xia; Yiwei Qin; Xuefeng Li 003; Yan Ma; Run-Ze Fan; Steffi Chern; Haoyang Zou; Fan Zhou; Xiangkun Hu; Jiahe Jin; Yanheng He; Yixin Ye; et al. (CoRR, 2025)

Explicit Preference Optimization: No Need for an Implicit Reward Model. - Xiangkun Hu; Lemin Kong; Tong He 002; David Wipf (CoRR, 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, 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; et al. (CoRR, 2025)

ResearcherBench: Evaluating Deep AI Research Systems on the Frontiers of Scientific Inquiry. - Tianze Xu; Pengrui Lu; Lyumanshan Ye; Xiangkun Hu; Pengfei Liu 003 (CoRR, 2025)

AlphaGo Moment for Model Architecture Discovery. - Yixiu Liu; Yang Nan; Weixian Xu; Xiangkun Hu; Lyumanshan Ye; Zhen Qin; Pengfei Liu 003 (CoRR, 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, 2025)