Zhijiang Guo

Janet B. Pierrehumbert

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

When Inverse Data Outperforms: Exploring the Pitfalls of Mixed Data in Multi-Stage Fine-Tuning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

TreeReview: A Dynamic Tree of Questions Framework for Deep and Efficient LLM-based Scientific Peer Review.

[BibT_eX]

[DOI]

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

CtrlA: Adaptive Retrieval-Augmented Generation via Inherent Control.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

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

[BibT_eX]

[DOI]

Christos Christodoulopoulos

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Effi-Code: Unleashing Code Efficiency in Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Process-Driven Autoformalization in Lean 4.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Learning From Correctness Without Prompting Makes LLM Efficient Reasoner.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Evaluating Robustness of Generative Search Engine on Adversarial Factual Questions.

[BibT_eX]

[DOI]

CoRR, 2024

YODA: Teacher-Student Progressive Learning for Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

MR-Ben: A Meta-Reasoning Benchmark for Evaluating System-2 Thinking in LLMs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

AutoPSV: Automated Process-Supervised Verifier.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

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

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Towards Understanding Factual Knowledge of Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

[BibT_eX]

[DOI]

Caiqi Zhang

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

Knowledge Conflicts for LLMs: A Survey.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Towards Human-aligned Evaluation for Linear Programming Word Problems.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2023

Do Large Language Models Know about Facts?

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Multimodal Automated Fact-Checking: A Survey.

[BibT_eX]

[DOI]

Mubashara Akhtar

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

Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis.

[BibT_eX]

[DOI]

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

2022

A Survey on Automated Fact-Checking.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2021

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

[BibT_eX]

[DOI]

Rami Aly

James Thorne

Christos Christodoulopoulos

Oana Cocarascu

Arpit Mittal

Dataset, May, 2021

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

[BibT_eX]

[DOI]

Rami Aly

James Thorne

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.

[BibT_eX]

[DOI]

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

2020

Learning Latent Forests for Medical Relation Extraction.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

2019

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

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2019

Attention Guided Graph Convolutional Networks for Relation Extraction.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]