Zhijiang Guo

According to our database, Zhijiang Guo authored at least 50 papers between 2002 and 2024.

Collaborative distances:

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

2024

Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling.

Yuxuan Yao, Han Wu, Mingyang Liu, Sichun Luo, Xiongwei Han, Jie Liu, Zhijiang Guo, Linqi Song

CoRR, 2024

UNComp: Uncertainty-Aware Long-Context Compressor for Efficient Large Language Model Inference.

Jing Xiong, Jianghan Shen, Fanghua Ye, Chaofan Tao, Zhongwei Wan, Jianqiao Lu, Xun Wu, Chuanyang Zheng, Zhijiang Guo, Lingpeng Kong, Ngai Wong

CoRR, 2024

Aligning with Logic: Measuring, Evaluating and Improving Logical Consistency in Large Language Models.

Yinhong Liu, Zhijiang Guo, Tianya Liang, Ehsan Shareghi, Ivan Vulic, Nigel Collier

CoRR, 2024

DebateQA: Evaluating Question Answering on Debatable Knowledge.

Rongwu Xu, Xuan Qi, Zehan Qi, Wei Xu, Zhijiang Guo

CoRR, 2024

MR-BEN: A Comprehensive Meta-Reasoning Benchmark for Large Language Models.

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

CoRR, 2024

Process-Driven Autoformalization in Lean 4.

Jianqiao Lu, Zhengying Liu, Yingjia Wan, Yinya Huang, Haiming Wang, Zhicheng Yang, Jing Tang, Zhijiang Guo

CoRR, 2024

CtrlA: Adaptive Retrieval-Augmented Generation via Probe-Guided Control.

Huanshuo Liu, Hao Zhang, Zhijiang Guo, Kuicai Dong, Xiangyang Li, Yi Quan Lee, Cong Zhang, Yong Liu

CoRR, 2024

AutoCV: Empowering Reasoning with Automated Process Labeling via Confidence Variation.

Jianqiao Lu, Zhiyang Dou, Hongru Wang, Zeyu Cao, Jianbo Dai, Yingjia Wan, Yinya Huang, Zhijiang Guo

CoRR, 2024

SOAP: Enhancing Efficiency of Generated Code via Self-Optimization.

Dong Huang, Jianbo Dai, Han Weng, Puzhen Wu, Yuhao Qing, Jie M. Zhang, Heming Cui, Zhijiang Guo

CoRR, 2024

MHPP: Exploring the Capabilities and Limitations of Language Models Beyond Basic Code Generation.

Jianbo Dai, Jianqiao Lu, Yunlong Feng, Rongju Ruan, Ming Cheng, Haochen Tan, Zhijiang Guo

CoRR, 2024

HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning.

Chunlin Tian, Zhan Shi, Zhijiang Guo, Li Li, Chengzhong Xu

CoRR, 2024

Learning From Correctness Without Prompting Makes LLM Efficient Reasoner.

Yuxuan Yao, Han Wu, Zhijiang Guo, Biyan Zhou, Jiahui Gao, Sichun Luo, Hanxu Hou, Xiaojin Fu, Linqi Song

CoRR, 2024

Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators.

Yinhong Liu, Han Zhou, Zhijiang Guo, Ehsan Shareghi, Ivan Vulic, Anna Korhonen, Nigel Collier

CoRR, 2024

Evaluating Robustness of Generative Search Engine on Adversarial Factual Questions.

Xuming Hu, Xiaochuan Li, Junzhe Chen, Yinghui Li, Yangning Li, Xiaoguang Li, Yasheng Wang, Qun Liu, Lijie Wen, Philip S. Yu, Zhijiang Guo

CoRR, 2024

YODA: Teacher-Student Progressive Learning for Language Models.

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

CoRR, 2024

PROXYQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models.

Haochen Tan, Zhijiang Guo, Zhan Shi, Lu Xu, Zhili Liu, Xiaoguang Li, Yasheng Wang, Lifeng Shang, Qun Liu, Linqi Song

CoRR, 2024

DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning.

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Towards Understanding Factual Knowledge of Large Language Models.

Xuming Hu, Junzhe Chen, Xiaochuan Li, Yufei Guo, Lijie Wen, Philip S. Yu, Zhijiang Guo

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Do We Need Language-Specific Fact-Checking Models? The Case of Chinese.

Caiqi Zhang, Zhijiang Guo, Andreas Vlachos

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

Knowledge Conflicts for LLMs: A Survey.

Rongwu Xu, Zehan Qi, Zhijiang Guo, Cunxiang Wang, Hongru Wang, Yue Zhang, Wei Xu

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

LONG²RAG: Evaluating Long-Context & Long-Form Retrieval-Augmented Generation with Key Point Recall.

Zehan Qi, Rongwu Xu, Zhijiang Guo, Cunxiang Wang, Hao Zhang, Wei Xu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

DVD: Dynamic Contrastive Decoding for Knowledge Amplification in Multi-Document Question Answering.

Jing Jin, Houfeng Wang, Hao Zhang, Xiaoguang Li, Zhijiang Guo

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

Towards Human-aligned Evaluation for Linear Programming Word Problems.

Linzi Xing, Xinglu Wang, Yuxi Feng, Zhenan Fan, Jing Xiong, Zhijiang Guo, Xiaojin Fu, Rindra Ramamonjison, Mahdi Mostajabdaveh, Xiongwei Han, Zirui Zhou, Yong Zhang

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

ProxyQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models.

Haochen Tan, Zhijiang Guo, Zhan Shi, Lu Xu, Zhili Liu, Yunlong Feng, Xiaoguang Li, Yasheng Wang, Lifeng Shang, Qun Liu, Linqi Song

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

Evaluating Robustness of Generative Search Engine on Adversarial Factoid Questions.

Xuming Hu, Xiaochuan Li, Junzhe Chen, Yinghui Li, Yangning Li, Xiaoguang Li, Yasheng Wang, Qun Liu, Lijie Wen, Philip S. Yu, Zhijiang Guo

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Are LLMs Rigorous Logical Reasoner? Empowering Natural Language Proof Generation with Contrastive Stepwise Decoding.

Ying Su, Xiaojin Fu, Mingwen Liu, Zhijiang Guo

CoRR, 2023

Do Large Language Models Know about Facts?

Xuming Hu, Junzhe Chen, Xiaochuan Li, Yufei Guo, Lijie Wen, Philip S. Yu, Zhijiang Guo

CoRR, 2023

Give Me More Details: Improving Fact-Checking with Latent Retrieval.

Xuming Hu, Zhijiang Guo, Guanyu Wu, Lijie Wen, Philip S. Yu

CoRR, 2023

AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web.

Michael Sejr Schlichtkrull, Zhijiang Guo, Andreas Vlachos

CoRR, 2023

Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence.

Xuming Hu, Zhaochen Hong, Zhijiang Guo, Lijie Wen, Philip S. Yu

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

MR2: A Benchmark for Multimodal Retrieval-Augmented Rumor Detection in Social Media.

Xuming Hu, Zhijiang Guo, Junzhe Chen, Lijie Wen, Philip S. Yu

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web.

Michael Schlichtkrull, Zhijiang Guo, Andreas Vlachos

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

TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models.

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

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

Multimodal Automated Fact-Checking: A Survey.

Mubashara Akhtar, Michael Schlichtkrull, Zhijiang Guo, Oana Cocarascu, Elena Simperl, Andreas Vlachos

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

Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis.

Xuming Hu, Zhijiang Guo, Zhiyang Teng, Irwin King, Philip S. Yu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

A Survey on Automated Fact-Checking.

Zhijiang Guo, Michael Sejr Schlichtkrull, Andreas Vlachos

Trans. Assoc. Comput. Linguistics, 2022

GRATIS: Deep Learning Graph Representation with Task-specific Topology and Multi-dimensional Edge Features.

Siyang Song, Yuxin Song, Cheng Luo, Zhiyuan Song, Selim Kuzucu, Xi Jia, Zhijiang Guo, Weicheng Xie, Linlin Shen, Hatice Gunes

CoRR, 2022

METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related Tweets.

Peilin Zhou, Zeqiang Wang, Dading Chong, Zhijiang Guo, Yining Hua, Zichang Su, Zhiyang Teng, Jiageng Wu, Jie Yang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

CHEF: A Pilot Chinese Dataset for Evidence-Based Fact-Checking.

Xuming Hu, Zhijiang Guo, Guanyu Wu, Aiwei Liu, Lijie Wen, Philip S. Yu

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Scene Graph Modification as Incremental Structure Expanding.

Xuming Hu, Zhijiang Guo, Yu Fu, Lijie Wen, Philip S. Yu

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information.

Rami Aly, Zhijiang Guo, Michael Sejr Schlichtkrull, James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Oana Cocarascu, Arpit Mittal

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Uncovering Main Causalities for Long-tailed Information Extraction.

Guoshun Nan, Jiaqi Zeng, Rui Qiao, Zhijiang Guo, Wei Lu

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Learning Latent Forests for Medical Relation Extraction.

Zhijiang Guo, Guoshun Nan, Wei Lu, Shay B. Cohen

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation.

Yan Zhang, Zhijiang Guo, Zhiyang Teng, Wei Lu, Shay B. Cohen, Zuozhu Liu, Lidong Bing

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Reasoning with Latent Structure Refinement for Document-Level Relation Extraction.

Guoshun Nan, Zhijiang Guo, Ivan Sekulic, Wei Lu

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning.

Zhijiang Guo, Yan Zhang, Zhiyang Teng, Wei Lu

Trans. Assoc. Comput. Linguistics, 2019

Attention Guided Graph Convolutional Networks for Relation Extraction.

Zhijiang Guo, Yan Zhang, Wei Lu

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Better Transition-Based AMR Parsing with Refined Search Space.

Zhijiang Guo, Wei Lu

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2006

Realization of Micromanipulating Gough-Stewart Platforms with Desired Dynamics.

Zhijiang Guo, John E. McInroy, Farhad Jafari

Proceedings of the 2006 IEEE International Conference on Robotics and Automation, 2006

2002

A powerful modified genetic algorithm for multimodal function optimization.

Zhijiang Guo, Hongtao Zheng, Jinping Jiang

Proceedings of the American Control Conference, 2002