Zhijiang Guo

119 papers A* 26B 1C 1Journal 75Unranked 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Survey on Federated Fine-Tuning of Large Language Models.
Trans. Mach. Learn. Res.
Yebo Wu, Chunlin Tian, Jingguang Li, He Sun, Kahou Tam, Zhanting Zhou, Haicheng Liao, Jing Xiong, Zhijiang Guo, Li Li, Cheng-Zhong Xu
2026 J jnl
Accordion-Thinking: Self-Regulated Step Summaries for Efficient and Readable LLM Reasoning.
CoRR
Zhicheng Yang, Zhijiang Guo, Yinya Huang, Yongxin Wang, Wenlei Shi, Yiwei Wang, Xiaodan Liang, Jing Tang
2026 J jnl
CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models.
CoRR
Xiao Zhu, Xinyu Zhou, Boyu Zhu, Hanxu Hu, Mingzhe Du, Haotian Zhang, Huiming Wang, Zhijiang Guo
2026 J jnl
DeReason: A Difficulty-Aware Curriculum Improves Decoupled SFT-then-RL Training for General Reasoning.
CoRR
Hanxu Hu, Yuxuan Wang, Maggie Huan, Jannis Vamvas, Yinya Huang, Zhijiang Guo, Rico Sennrich
2026 — conf
DebateQA: Evaluating Question Answering on Debatable Knowledge.
EACL (Findings)
Rongwu Xu, Xuan Qi, Zehan Qi, Wei Xu, Zhijiang Guo
2026 J jnl
Efficient RLVR Training via Weighted Mutual Information Data Selection.
CoRR
Xinyu Zhou, Boyu Zhu, Haotian Zhang, Huiming Wang, Zhijiang Guo
2026 J jnl
From System 1 to System 2: A Survey of Reasoning Large Language Models.
IEEE Trans. Pattern Anal. Mach. Intell.
Duzhen Zhang, Zhong-Zhi Li, Ming-Liang Zhang, Jiaxin Zhang, Zengyan Liu, Yuxuan Yao, Haotian Xu, Junhao Zheng, Xiuyi Chen, Yingying Zhang, Fei Yin, Jiahua Dong, Zhijiang Guo, Le Song, Cheng-Lin Liu
2026 J jnl
Merging Beyond: Streaming LLM Updates via Activation-Guided Rotations.
CoRR
Yuxuan Yao, Haonan Sheng, Qingsong Lv, Han Wu, Shuqi Liu, Zehua Liu, Zengyan Liu, Jiahui Gao, Haochen Tan, Xiaojin Fu, Haoli Bai, Hing Cheung So, Zhijiang Guo, Linqi Song
2026 J jnl
When Silence Is Golden: Can LLMs Learn to Abstain in Temporal QA and Beyond?
CoRR
Xinyu Zhou, Chang Jin, Carsten Eickhoff, Zhijiang Guo, Seyed Ali Bahrainian
2025 J jnl
A Comprehensive Survey on Benchmarks and Solutions in Software Engineering of LLM-Empowered Agentic System.
CoRR
Jiale Guo, Suizhi Huang, Mei Li, Dong Huang, Xingsheng Chen, Regina Zhang, Zhijiang Guo, Han Yu, Siu-Ming Yiu, Pietro Lio, Kwok-Yan Lam
2025 J jnl
ACE: Attribution-Controlled Knowledge Editing for Multi-hop Factual Recall.
CoRR
Jiayu Yang, Yuxuan Fan, Songning Lai, Shengen Wu, Jiaqi Tang, Chun Kang, Zhijiang Guo, Yutao Yue
2025 J jnl
AVerImaTeC: A Dataset for Automatic Verification of Image-Text Claims with Evidence from the Web.
CoRR
Rui Cao, Zifeng Ding, Zhijiang Guo, Michael Sejr Schlichtkrull, Andreas Vlachos
2025 J jnl
Activation-Guided Consensus Merging for Large Language Models.
CoRR
Yuxuan Yao, Shuqi Liu, Zehua Liu, Qintong Li, Mingyang Liu, Xiongwei Han, Zhijiang Guo, Han Wu, Linqi Song
2025 A* conf
Aligning with Logic: Measuring, Evaluating and Improving Logical Preference Consistency in Large Language Models.
ICML
Yinhong Liu, Zhijiang Guo, Tianya Liang, Ehsan Shareghi, Ivan Vulic, Nigel Collier
2025 J jnl
Analysis of longitudinal social media for monitoring symptoms during a pandemic.
J. Biomed. Informatics
Shixu Lin, Lucas Garay, Yining Hua, Zhijiang Guo, Wanxin Li, Minghui Li, Yu-Jie Zhang, Xiaolin Xu, Jie Yang
2025 — conf
Are LLMs Rigorous Logical Reasoners? Empowering Natural Language Proof Generation by Stepwise Decoding with Contrastive Learning.
IJCNLP-AACL (long papers)
Ying Su, Mingwen Liu, Zhijiang Guo
2025 J jnl
Beyond Pass@1: Self-Play with Variational Problem Synthesis Sustains RLVR.
CoRR
Xiao Liang, Zhongzhi Li, Yeyun Gong, Yelong Shen, Ying Nian Wu, Zhijiang Guo, Weizhu Chen
2025 J jnl
CiteCheck: Towards Accurate Citation Faithfulness Detection.
CoRR
Ziyao Xu, Shaohang Wei, Zhuoheng Han, Jing Jin, Zhe Yang, Xiaoguang Li, Haochen Tan, Zhijiang Guo, Houfeng Wang
2025 A* conf
ClimateViz: A Benchmark for Statistical Reasoning and Fact Verification on Scientific Charts.
EMNLP
Ruiran Su, Jiasheng Si, Zhijiang Guo, Janet B. Pierrehumbert
2025 J jnl
ClimateViz: A Benchmark for Statistical Reasoning and Fact Verification on Scientific Charts.
CoRR
Ruiran Su, Jiasheng Si, Zhijiang Guo, Janet B. Pierrehumbert
2025 J jnl
Critique to Verify: Accurate and Honest Test-Time Scaling with RL-Trained Verifiers.
CoRR
Zhicheng Yang, Zhijiang Guo, Yinya Huang, Yongxin Wang, Yiwei Wang, Xiaodan Liang, Jing Tang
2025 — conf
CtrlA: Adaptive Retrieval-Augmented Generation via Inherent Control.
ACL (Findings)
Huanshuo Liu, Hao Zhang, Zhijiang Guo, Jing Wang, Kuicai Dong, Xiangyang Li, Yi Quan Lee, Cong Zhang, Yong Liu
2025 J jnl
Depth-Breadth Synergy in RLVR: Unlocking LLM Reasoning Gains with Adaptive Exploration.
CoRR
Zhicheng Yang, Zhijiang Guo, Yinya Huang, Yongxin Wang, Dongchun Xie, Yiwei Wang, Xiaodan Liang, Jing Tang
2025 A* conf
Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling.
ICLR
Yuxuan Yao, Han Wu, Mingyang Liu, Sichun Luo, Xiongwei Han, Jie Liu, Zhijiang Guo, Linqi Song
2025 J jnl
EffiBench-X: A Multi-Language Benchmark for Measuring Efficiency of LLM-Generated Code.
CoRR
Yuhao Qing, Boyu Zhu, Mingzhe Du, Zhijiang Guo, Terry Yue Zhuo, Qianru Zhang, Jie M. Zhang, Heming Cui, Siu-Ming Yiu, Dong Huang, See-Kiong Ng, Luu Anh Tuan
2025 A* conf
EffiCoder: Enhancing Code Generation in Large Language Models through Efficiency-Aware Fine-tuning.
ICML
Dong Huang, Guangtao Zeng, Jianbo Dai, Meng Luo, Han Weng, Yuhao Qing, Heming Cui, Zhijiang Guo, Jie Zhang
2025 J jnl
Elastic Mixture of Rank-Wise Experts for Knowledge Reuse in Federated Fine-Tuning.
CoRR
Yebo Wu, Jingguang Li, Zhijiang Guo, Li Li
2025 J jnl
FaStFACT: Faster, Stronger Long-Form Factuality Evaluations in LLMs.
CoRR
Yingjia Wan, Haochen Tan, Xiao Zhu, Xinyu Zhou, Zhiwei Li, Qingsong Lv, Changxuan Sun, Jiaqi Zeng, Yi Xu, Jianqiao Lu, Yinhong Liu, Zhijiang Guo
2025 — conf
FaStFact: Faster, Stronger Long-Form Factuality Evaluations in LLMs.
EMNLP (Findings)
Yingjia Wan, Haochen Tan, Xiao Zhu, Xinyu Zhou, Zhiwei Li, Qingsong Lv, Changxuan Sun, Jiaqi Zeng, Yi Xu, Jianqiao Lu, Yinhong Liu, Zhijiang Guo
2025 A* conf
FormalAlign: Automated Alignment Evaluation for Autoformalization.
ICLR
Jianqiao Lu, Yingjia Wan, Yinya Huang, Jing Xiong, Zhengying Liu, Zhijiang Guo
2025 J jnl
From System 1 to System 2: A Survey of Reasoning Large Language Models.
CoRR
Zhong-Zhi Li, Duzhen Zhang, Ming-Liang Zhang, Jiaxin Zhang, Zengyan Liu, Yuxuan Yao, Haotian Xu, Junhao Zheng, Pei-Jie Wang, Xiuyi Chen, Yingying Zhang, Fei Yin, Jiahua Dong, Zhijiang Guo, Le Song, Cheng-Lin Liu
2025 J jnl
Learning Like Humans: Resource-Efficient Federated Fine-Tuning through Cognitive Developmental Stages.
CoRR
Yebo Wu, Jingguang Li, Zhijiang Guo, Li Li
2025 J jnl
Less is More: Resource-Efficient Low-Rank Adaptation.
CoRR
Chunlin Tian, Xuyang Wei, Huanrong Liu, Zhijiang Guo, Li Li
2025 J jnl
Leveraging Correctness-Based Learning for Efficient Reasoning via Automated Process Supervision.
IEEE J. Sel. Top. Signal Process.
Yuxuan Yao, Mingyang Liu, Guanzhi Deng, Zengyan Liu, Dapeng Oliver Wu, Zhijiang Guo, Han Wu, Linqi Song
2025 J jnl
Memory-Efficient Federated Fine-Tuning of Large Language Models via Layer Pruning.
CoRR
Yebo Wu, Jingguang Li, Chunlin Tian, Zhijiang Guo, Li Li
2025 A* conf
OptiBench Meets ReSocratic: Measure and Improve LLMs for Optimization Modeling.
ICLR
Zhicheng Yang, Yiwei Wang, Yinya Huang, Zhijiang Guo, Wei Shi, Xiongwei Han, Liang Feng, Linqi Song, Xiaodan Liang, Jing Tang
2025 J jnl
RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?
CoRR
Haotian Xu, Xing Wu, Weinong Wang, Zhongzhi Li, Da Zheng, Boyuan Chen, Yi Hu, Shijia Kang, Jiaming Ji, Yingying Zhang, Zhijiang Guo, Yaodong Yang, Muhan Zhang, Debing Zhang
2025 J jnl
SwingArena: Competitive Programming Arena for Long-context GitHub Issue Solving.
CoRR
Wendong Xu, Jing Xiong, Chenyang Zhao, Qiujiang Chen, Haoran Wang, Hui Shen, Zhongwei Wan, Jianbo Dai, Taiqiang Wu, He Xiao, Chaofan Tao, Z. Morley Mao, Ying Sheng, Zhijiang Guo, Hongxia Yang, Bei Yu, Lingpeng Kong, Quanquan Gu, Ngai Wong
2025 J jnl
TIME: A Multi-level Benchmark for Temporal Reasoning of LLMs in Real-World Scenarios.
CoRR
Shaohang Wei, Wei Li, Feifan Song, Wen Luo, Tianyi Zhuang, Haochen Tan, Zhijiang Guo, Houfeng Wang
2025 J jnl
TL;DR: Too Long, Do Re-weighting for Efficient LLM Reasoning Compression.
CoRR
Zhong-Zhi Li, Xiao Liang, Zihao Tang, Lei Ji, Peijie Wang, Haotian Xu, Xing W, Haizhen Huang, Weiwei Deng, Yeyun Gong, Zhijiang Guo, Xiao Liu, Fei Yin, Cheng-Lin Liu
2025 J jnl
TreeRPO: Tree Relative Policy Optimization.
CoRR
Zhicheng Yang, Zhijiang Guo, Yinya Huang, Xiaodan Liang, Yiwei Wang, Jing Tang
2025 A* conf
TreeReview: A Dynamic Tree of Questions Framework for Deep and Efficient LLM-based Scientific Peer Review.
EMNLP
Yuan Chang, Ziyue Li, Hengyuan Zhang, Yuanbo Kong, Yanru Wu, Hayden Kwok-Hay So, Zhijiang Guo, Liya Zhu, Ngai Wong
2025 J jnl
TreeReview: A Dynamic Tree of Questions Framework for Deep and Efficient LLM-based Scientific Peer Review.
CoRR
Yuan Chang, Ziyue Li, Hengyuan Zhang, Yuanbo Kong, Yanru Wu, Zhijiang Guo, Ngai Wong
2025 A* conf
UNComp: Can Matrix Entropy Uncover Sparsity? - A Compressor Design from an Uncertainty-Aware Perspective.
EMNLP
Jing Xiong, Jianghan Shen, Fanghua Ye, Chaofan Tao, Zhongwei Wan, Jianqiao Lu, Xun Wu, Chuanyang Zheng, Zhijiang Guo, Min Yang, Lingpeng Kong, Ngai Wong
2025 — conf
When Inverse Data Outperforms: Exploring the Pitfalls of Mixed Data in Multi-Stage Fine-Tuning.
EMNLP (Findings)
Mengyi Deng, Xin Li, Tingyu Zhu, Zhicheng Yang, Zhijiang Guo, Wei Wang
2025 J jnl
When Inverse Data Outperforms: Exploring the Pitfalls of Mixed Data in Multi-Stage Fine-Tuning.
CoRR
Mengyi Deng, Xin Li, Tingyu Zhu, Zhicheng Yang, Zhijiang Guo, Wei Wang
2024 J jnl
Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators.
CoRR
Yinhong Liu, Han Zhou, Zhijiang Guo, Ehsan Shareghi, Ivan Vulic, Anna Korhonen, Nigel Collier
2024 J jnl
Aligning with Logic: Measuring, Evaluating and Improving Logical Consistency in Large Language Models.
CoRR
Yinhong Liu, Zhijiang Guo, Tianya Liang, Ehsan Shareghi, Ivan Vulic, Nigel Collier
2024 J jnl
AutoCV: Empowering Reasoning with Automated Process Labeling via Confidence Variation.
CoRR
Jianqiao Lu, Zhiyang Dou, Hongru Wang, Zeyu Cao, Jianbo Dai, Yingjia Wan, Yinya Huang, Zhijiang Guo
2024 A* conf
AutoPSV: Automated Process-Supervised Verifier.
NeurIPS
Jianqiao Lu, Zhiyang Dou, Hongru Wang, Zeyu Cao, Jianbo Dai, Yunlong Feng, Zhijiang Guo
2024 J jnl
CtrlA: Adaptive Retrieval-Augmented Generation via Probe-Guided Control.
CoRR
Huanshuo Liu, Hao Zhang, Zhijiang Guo, Kuicai Dong, Xiangyang Li, Yi Quan Lee, Cong Zhang, Yong Liu
2024 A* conf
DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning.
ICLR
Jing Xiong, Zixuan Li, Chuanyang Zheng, Zhijiang Guo, Yichun Yin, Enze Xie, Zhicheng Yang, Qingxing Cao, Haiming Wang, Xiongwei Han, Jing Tang, Chengming Li, Xiaodan Liang
2024 A* conf
DVD: Dynamic Contrastive Decoding for Knowledge Amplification in Multi-Document Question Answering.
EMNLP
Jing Jin, Houfeng Wang, Hao Zhang, Xiaoguang Li, Zhijiang Guo
2024 J jnl
DebateQA: Evaluating Question Answering on Debatable Knowledge.
CoRR
Rongwu Xu, Xuan Qi, Zehan Qi, Wei Xu, Zhijiang Guo
2024 J jnl
Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling.
CoRR
Yuxuan Yao, Han Wu, Mingyang Liu, Sichun Luo, Xiongwei Han, Jie Liu, Zhijiang Guo, Linqi Song
2024 A* conf
Do We Need Language-Specific Fact-Checking Models? The Case of Chinese.
EMNLP
Caiqi Zhang, Zhijiang Guo, Andreas Vlachos
2024 J jnl
Do We Need Language-Specific Fact-Checking Models? The Case of Chinese.
CoRR
Caiqi Zhang, Zhijiang Guo, Andreas Vlachos
2024 J jnl
Effi-Code: Unleashing Code Efficiency in Language Models.
CoRR
Dong Huang, Guangtao Zeng, Jianbo Dai, Meng Luo, Han Weng, Yuhao Qing, Heming Cui, Zhijiang Guo, Jie M. Zhang
2024 A* conf
EffiLearner: Enhancing Efficiency of Generated Code via Self-Optimization.
NeurIPS
Dong Huang, Jianbo Dai, Han Weng, Puzhen Wu, Yuhao Qing, Heming Cui, Zhijiang Guo, Jie Zhang
2024 — conf
Evaluating Robustness of Generative Search Engine on Adversarial Factoid Questions.
ACL (Findings)
Xuming Hu, Xiaochuan Li, Junzhe Chen, Yinghui Li, Yangning Li, Xiaoguang Li, Yasheng Wang, Qun Liu, Lijie Wen, Philip S. Yu, Zhijiang Guo
2024 J jnl
Evaluating Robustness of Generative Search Engine on Adversarial Factual Questions.
CoRR
Xuming Hu, Xiaochuan Li, Junzhe Chen, Yinghui Li, Yangning Li, Xiaoguang Li, Yasheng Wang, Qun Liu, Lijie Wen, Philip S. Yu, Zhijiang Guo
2024 J jnl
FormalAlign: Automated Alignment Evaluation for Autoformalization.
CoRR
Jianqiao Lu, Yingjia Wan, Yinya Huang, Jing Xiong, Zhengying Liu, Zhijiang Guo
2024 A* conf
HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning.
NeurIPS
Chunlin Tian, Zhan Shi, Zhijiang Guo, Li Li, Cheng-Zhong Xu
2024 J jnl
HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning.
CoRR
Chunlin Tian, Zhan Shi, Zhijiang Guo, Li Li, Chengzhong Xu
2024 A* conf
Knowledge Conflicts for LLMs: A Survey.
EMNLP
Rongwu Xu, Zehan Qi, Zhijiang Guo, Cunxiang Wang, Hongru Wang, Yue Zhang, Wei Xu
2024 — conf
LONG²RAG: Evaluating Long-Context & Long-Form Retrieval-Augmented Generation with Key Point Recall.
EMNLP (Findings)
Zehan Qi, Rongwu Xu, Zhijiang Guo, Cunxiang Wang, Hao Zhang, Wei Xu
2024 J jnl
Learning From Correctness Without Prompting Makes LLM Efficient Reasoner.
CoRR
Yuxuan Yao, Han Wu, Zhijiang Guo, Biyan Zhou, Jiahui Gao, Sichun Luo, Hanxu Hou, Xiaojin Fu, Linqi Song
2024 J jnl
Long
CoRR
Zehan Qi, Rongwu Xu, Zhijiang Guo, Cunxiang Wang, Hao Zhang, Wei Xu
2024 J jnl
MHPP: Exploring the Capabilities and Limitations of Language Models Beyond Basic Code Generation.
CoRR
Jianbo Dai, Jianqiao Lu, Yunlong Feng, Rongju Ruan, Ming Cheng, Haochen Tan, Zhijiang Guo
2024 J jnl
MR-BEN: A Comprehensive Meta-Reasoning Benchmark for Large Language Models.
CoRR
Zhongshen Zeng, Yinhong Liu, Yingjia Wan, Jingyao Li, Pengguang Chen, Jianbo Dai, Yuxuan Yao, Rongwu Xu, Zehan Qi, Wanru Zhao, Linling Shen, Jianqiao Lu, Haochen Tan, Yukang Chen, Hao Zhang, Zhan Shi, Bailin Wang, Zhijiang Guo, Jiaya Jia
2024 A* conf
MR-Ben: A Meta-Reasoning Benchmark for Evaluating System-2 Thinking in LLMs.
NeurIPS
Zhongshen Zeng, Yinhong Liu, Yingjia Wan, Jingyao Li, Pengguang Chen, Jianbo Dai, Yuxuan Yao, Rongwu Xu, Zehan Qi, Wanru Zhao, Linling Shen, Jianqiao Lu, Haochen Tan, Yukang Chen, Hao Zhang, Zhan Shi, Bailin Wang, Zhijiang Guo, Jiaya Jia
2024 J jnl
PROXYQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models.
CoRR
Haochen Tan, Zhijiang Guo, Zhan Shi, Lu Xu, Zhili Liu, Xiaoguang Li, Yasheng Wang, Lifeng Shang, Qun Liu, Linqi Song
2024 J jnl
Process-Driven Autoformalization in Lean 4.
CoRR
Jianqiao Lu, Zhengying Liu, Yingjia Wan, Yinya Huang, Haiming Wang, Zhicheng Yang, Jing Tang, Zhijiang Guo
2024 — conf
ProxyQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models.
ACL (1)
Haochen Tan, Zhijiang Guo, Zhan Shi, Lu Xu, Zhili Liu, Yunlong Feng, Xiaoguang Li, Yasheng Wang, Lifeng Shang, Qun Liu, Linqi Song
2024 J jnl
SOAP: Enhancing Efficiency of Generated Code via Self-Optimization.
CoRR
Dong Huang, Jianbo Dai, Han Weng, Puzhen Wu, Yuhao Qing, Jie M. Zhang, Heming Cui, Zhijiang Guo
2024 J jnl
The Automated Verification of Textual Claims (AVeriTeC) Shared Task.
CoRR
Michael Sejr Schlichtkrull, Yulong Chen, Chenxi Whitehouse, Zhenyun Deng, Mubashara Akhtar, Rami Aly, Zhijiang Guo, Christos Christodoulopoulos, Oana Cocarascu, Arpit Mittal, James Thorne, Andreas Vlachos
2024 — conf
Towards Human-aligned Evaluation for Linear Programming Word Problems.
LREC/COLING
Linzi Xing, Xinglu Wang, Yuxi Feng, Zhenan Fan, Jing Xiong, Zhijiang Guo, Xiaojin Fu, Rindra Ramamonjison, Mahdi Mostajabdaveh, Xiongwei Han, Zirui Zhou, Yong Zhang
2024 A* conf
Towards Understanding Factual Knowledge of Large Language Models.
ICLR
Xuming Hu, Junzhe Chen, Xiaochuan Li, Yufei Guo, Lijie Wen, Philip S. Yu, Zhijiang Guo
2024 J jnl
UNComp: Uncertainty-Aware Long-Context Compressor for Efficient Large Language Model Inference.
CoRR
Jing Xiong, Jianghan Shen, Fanghua Ye, Chaofan Tao, Zhongwei Wan, Jianqiao Lu, Xun Wu, Chuanyang Zheng, Zhijiang Guo, Lingpeng Kong, Ngai Wong
2024 J jnl
YODA: Teacher-Student Progressive Learning for Language Models.
CoRR
Jianqiao Lu, Wanjun Zhong, Yufei Wang, Zhijiang Guo, Qi Zhu, Wenyong Huang, Yanlin Wang, Fei Mi, Baojun Wang, Yasheng Wang, Lifeng Shang, Xin Jiang, Qun Liu
2023 A* conf
AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web.
NeurIPS
Michael Sejr Schlichtkrull, Zhijiang Guo, Andreas Vlachos
2023 J jnl
AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web.
CoRR
Michael Sejr Schlichtkrull, Zhijiang Guo, Andreas Vlachos
2023 J jnl
DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning.
CoRR
Jing Xiong, Zixuan Li, Chuanyang Zheng, Zhijiang Guo, Yichun Yin, Enze Xie, Zhicheng Yang, Qingxing Cao, Haiming Wang, Xiongwei Han, Jing Tang, Chengming Li, Xiaodan Liang
2023 J jnl
Do Large Language Models Know about Facts?
CoRR
Xuming Hu, Junzhe Chen, Xiaochuan Li, Yufei Guo, Lijie Wen, Philip S. Yu, Zhijiang Guo
2023 J jnl
Give Me More Details: Improving Fact-Checking with Latent Retrieval.
CoRR
Xuming Hu, Zhijiang Guo, Guanyu Wu, Lijie Wen, Philip S. Yu
2023 A* conf
MR2: A Benchmark for Multimodal Retrieval-Augmented Rumor Detection in Social Media.
SIGIR
Xuming Hu, Zhijiang Guo, Junzhe Chen, Lijie Wen, Philip S. Yu
2023 — conf
Multimodal Automated Fact-Checking: A Survey.
EMNLP (Findings)
Mubashara Akhtar, Michael Sejr Schlichtkrull, Zhijiang Guo, Oana Cocarascu, Elena Simperl, Andreas Vlachos
2023 J jnl
Multimodal Automated Fact-Checking: A Survey.
CoRR
Mubashara Akhtar, Michael Sejr Schlichtkrull, Zhijiang Guo, Oana Cocarascu, Elena Simperl, Andreas Vlachos
2023 — conf
Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis.
ACL (2)
Xuming Hu, Zhijiang Guo, Zhiyang Teng, Irwin King, Philip S. Yu
2023 J jnl
Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis.
CoRR
Xuming Hu, Zhijiang Guo, Zhiyang Teng, Irwin King, Philip S. Yu
2023 A* conf
Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence.
SIGIR
Xuming Hu, Zhaochen Hong, Zhijiang Guo, Lijie Wen, Philip S. Yu
2023 J jnl
Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence.
CoRR
Xuming Hu, Zhaochen Hong, Zhijiang Guo, Lijie Wen, Philip S. Yu
2023 A* conf
TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models.
EMNLP
Jing Xiong, Jianhao Shen, Ye Yuan, Haiming Wang, Yichun Yin, Zhengying Liu, Lin Li, Zhijiang Guo, Qingxing Cao, Yinya Huang, Chuanyang Zheng, Xiaodan Liang, Ming Zhang, Qun Liu
2023 J jnl
TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models.
CoRR
Jing Xiong, Jianhao Shen, Ye Yuan, Haiming Wang, Yichun Yin, Zhengying Liu, Lin Li, Zhijiang Guo, Qingxing Cao, Yinya Huang, Chuanyang Zheng, Xiaodan Liang, Ming Zhang, Qun Liu
2022 J jnl
A Survey on Automated Fact-Checking.
Trans. Assoc. Comput. Linguistics
Zhijiang Guo, Michael Sejr Schlichtkrull, Andreas Vlachos
2022 — conf
CHEF: A Pilot Chinese Dataset for Evidence-Based Fact-Checking.
NAACL-HLT
Xuming Hu, Zhijiang Guo, Guanyu Wu, Aiwei Liu, Lijie Wen, Philip S. Yu
2022 J jnl
CHEF: A Pilot Chinese Dataset for Evidence-Based Fact-Checking.
CoRR
Xuming Hu, Zhijiang Guo, Guanyu Wu, Aiwei Liu, Lijie Wen, Philip S. Yu
2022 J jnl
GRATIS: Deep Learning Graph Representation with Task-specific Topology and Multi-dimensional Edge Features.
CoRR
Siyang Song, Yuxin Song, Cheng Luo, Zhiyuan Song, Selim Kuzucu, Xi Jia, Zhijiang Guo, Weicheng Xie, Linlin Shen, Hatice Gunes
2022 A* conf
METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related Tweets.
NeurIPS
Peilin Zhou, Zeqiang Wang, Dading Chong, Zhijiang Guo, Yining Hua, Zichang Su, Zhiyang Teng, Jiageng Wu, Jie Yang
2022 J jnl
METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related Tweets.
CoRR
Peilin Zhou, Zeqiang Wang, Dading Chong, Zhijiang Guo, Yining Hua, Zichang Su, Zhiyang Teng, Jiageng Wu, Jie Yang
2022 B conf
Scene Graph Modification as Incremental Structure Expanding.
COLING
Xuming Hu, Zhijiang Guo, Yu Fu, Lijie Wen, Philip S. Yu
2022 J jnl
Scene Graph Modification as Incremental Structure Expanding.
CoRR
Xuming Hu, Zhijiang Guo, Yu Fu, Lijie Wen, Philip S. Yu
2021 J jnl
A Survey on Automated Fact-Checking.
CoRR
Zhijiang Guo, Michael Sejr Schlichtkrull, Andreas Vlachos
2021 — conf
FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information.
NeurIPS Datasets and Benchmarks
Rami Aly, Zhijiang Guo, Michael Sejr Schlichtkrull, James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Oana Cocarascu, Arpit Mittal
2021 J jnl
FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information.
CoRR
Rami Aly, Zhijiang Guo, Michael Sejr Schlichtkrull, James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Oana Cocarascu, Arpit Mittal
2021 — conf
Uncovering Main Causalities for Long-tailed Information Extraction.
EMNLP (1)
Guoshun Nan, Jiaqi Zeng, Rui Qiao, Zhijiang Guo, Wei Lu
2021 J jnl
Uncovering Main Causalities for Long-tailed Information Extraction.
CoRR
Guoshun Nan, Jiaqi Zeng, Rui Qiao, Zhijiang Guo, Wei Lu
2020 A* conf
Learning Latent Forests for Medical Relation Extraction.
IJCAI
Zhijiang Guo, Guoshun Nan, Wei Lu, Shay B. Cohen
2020 — conf
Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation.
EMNLP (1)
Yan Zhang, Zhijiang Guo, Zhiyang Teng, Wei Lu, Shay B. Cohen, Zuozhu Liu, Lidong Bing
2020 J jnl
Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation.
CoRR
Yan Zhang, Zhijiang Guo, Zhiyang Teng, Wei Lu, Shay B. Cohen, Zuozhu Liu, Lidong Bing
2020 A* conf
Reasoning with Latent Structure Refinement for Document-Level Relation Extraction.
ACL
Guoshun Nan, Zhijiang Guo, Ivan Sekulic, Wei Lu
2020 J jnl
Reasoning with Latent Structure Refinement for Document-Level Relation Extraction.
CoRR
Guoshun Nan, Zhijiang Guo, Ivan Sekulic, Wei Lu
2019 — conf
Attention Guided Graph Convolutional Networks for Relation Extraction.
ACL (1)
Zhijiang Guo, Yan Zhang, Wei Lu
2019 J jnl
Attention Guided Graph Convolutional Networks for Relation Extraction.
CoRR
Zhijiang Guo, Yan Zhang, Wei Lu
2019 J jnl
Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning.
CoRR
Zhijiang Guo, Yan Zhang, Zhiyang Teng, Wei Lu
2019 J jnl
Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning.
Trans. Assoc. Comput. Linguistics
Zhijiang Guo, Yan Zhang, Zhiyang Teng, Wei Lu
2018 A* conf
Better Transition-Based AMR Parsing with Refined Search Space.
EMNLP
Zhijiang Guo, Wei Lu
2006 A* conf
Realization of Micromanipulating Gough-Stewart Platforms with Desired Dynamics.
ICRA
Zhijiang Guo, John E. McInroy, Farhad Jafari
2002 C conf
A powerful modified genetic algorithm for multimodal function optimization.
ACC
Zhijiang Guo, Hongtao Zheng, Jinping Jiang