Zhijiang Guo

Orcid: 0000-0002-6232-5957

According to our database1, Zhijiang Guo authored at least 54 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
The Automated Verification of Textual Claims (AVeriTeC) Shared Task.
CoRR, 2024

Long<sup>2</sup>RAG: Evaluating Long-Context & Long-Form Retrieval-Augmented Generation with Key Point Recall.
CoRR, 2024

Effi-Code: Unleashing Code Efficiency in Language Models.
CoRR, 2024

FormalAlign: Automated Alignment Evaluation for Autoformalization.
CoRR, 2024

Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling.
CoRR, 2024

UNComp: Uncertainty-Aware Long-Context Compressor for Efficient Large Language Model Inference.
CoRR, 2024

Aligning with Logic: Measuring, Evaluating and Improving Logical Consistency in Large Language Models.
CoRR, 2024

DebateQA: Evaluating Question Answering on Debatable Knowledge.
CoRR, 2024

MR-BEN: A Comprehensive Meta-Reasoning Benchmark for Large Language Models.
CoRR, 2024

Process-Driven Autoformalization in Lean 4.
CoRR, 2024

CtrlA: Adaptive Retrieval-Augmented Generation via Probe-Guided Control.
CoRR, 2024

AutoCV: Empowering Reasoning with Automated Process Labeling via Confidence Variation.
CoRR, 2024

SOAP: Enhancing Efficiency of Generated Code via Self-Optimization.
CoRR, 2024

MHPP: Exploring the Capabilities and Limitations of Language Models Beyond Basic Code Generation.
CoRR, 2024

HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning.
CoRR, 2024

Learning From Correctness Without Prompting Makes LLM Efficient Reasoner.
CoRR, 2024

Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators.
CoRR, 2024

Evaluating Robustness of Generative Search Engine on Adversarial Factual Questions.
CoRR, 2024

YODA: Teacher-Student Progressive Learning for Language Models.
CoRR, 2024

PROXYQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models.
CoRR, 2024

DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Towards Understanding Factual Knowledge of Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Do We Need Language-Specific Fact-Checking Models? The Case of Chinese.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Knowledge Conflicts for LLMs: A Survey.
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.
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.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Towards Human-aligned Evaluation for Linear Programming Word Problems.
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.
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.
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.
CoRR, 2023

Do Large Language Models Know about Facts?
CoRR, 2023

Give Me More Details: Improving Fact-Checking with Latent Retrieval.
CoRR, 2023

AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web.
CoRR, 2023

Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence.
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.
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.
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.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Multimodal Automated Fact-Checking: A Survey.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022
A Survey on Automated Fact-Checking.
Trans. Assoc. Comput. Linguistics, 2022

GRATIS: Deep Learning Graph Representation with Task-specific Topology and Multi-dimensional Edge Features.
CoRR, 2022

METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related Tweets.
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.
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.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Uncovering Main Causalities for Long-tailed Information Extraction.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Learning Latent Forests for Medical Relation Extraction.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Reasoning with Latent Structure Refinement for Document-Level Relation Extraction.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning.
Trans. Assoc. Comput. Linguistics, 2019

Attention Guided Graph Convolutional Networks for Relation Extraction.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Better Transition-Based AMR Parsing with Refined Search Space.
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.
Proceedings of the 2006 IEEE International Conference on Robotics and Automation, 2006

2002
A powerful modified genetic algorithm for multimodal function optimization.
Proceedings of the American Control Conference, 2002


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