James Thorne

According to our database1, James Thorne authored at least 40 papers between 2017 and 2024.

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

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Epistemology of Language Models: Do Language Models Have Holistic Knowledge?
CoRR, 2024

BEnQA: A Question Answering and Reasoning Benchmark for Bengali and English.
CoRR, 2024

ORPO: Monolithic Preference Optimization without Reference Model.
CoRR, 2024

CLIcK: A Benchmark Dataset of Cultural and Linguistic Intelligence in Korean.
CoRR, 2024

Retrieval-Augmented Data Augmentation for Low-Resource Domain Tasks.
CoRR, 2024

eXplainable Bayesian Multi-Perspective Generative Retrieval.
CoRR, 2024

Re3val: Reinforced and Reranked Generative Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Capturing the Relationship Between Sentence Triplets for LLM and Human-Generated Texts to Enhance Sentence Embeddings.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models.
CoRR, 2023

VisAlign: Dataset for Measuring the Degree of Alignment between AI and Humans in Visual Perception.
CoRR, 2023

FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets.
CoRR, 2023

Can Large Language Models Infer and Disagree Like Humans?
CoRR, 2023

VisAlign: Dataset for Measuring the Alignment between AI and Humans in Visual Perception.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

HARE: Explainable Hate Speech Detection with Step-by-Step Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Detrimental Contexts in Open-Domain Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Knowledge Corpus Error in Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Can Large Language Models Capture Dissenting Human Voices?
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Disentangling Structure and Style: Political Bias Detection in News by Inducing Document Hierarchy.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

FactKG: Fact Verification via Reasoning on Knowledge Graphs.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Data-Efficient Autoregressive Document Retrieval for Fact Verification.
CoRR, 2022

On the Role of Relevance in Natural Language Processing Tasks.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021
From Natural Language Processing to Neural Databases.
Proc. VLDB Endow., 2021

Evidence-based Verification for Real World Information Needs.
CoRR, 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

KILT: a Benchmark for Knowledge Intensive Language Tasks.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Elastic weight consolidation for better bias inoculation.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Database reasoning over text.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Evidence-based Factual Error Correction.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Factual Error Correction of Claims.
CoRR, 2020

Neural Databases.
CoRR, 2020

KILT: a Benchmark for Knowledge Intensive Language Tasks.
CoRR, 2020

Avoiding catastrophic forgetting in mitigating model biases in sentence-pair classification with elastic weight consolidation.
CoRR, 2020

2019
Adversarial attacks against Fact Extraction and VERification.
CoRR, 2019

Generating Token-Level Explanations for Natural Language Inference.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Evaluating adversarial attacks against multiple fact verification systems.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
The Fact Extraction and VERification (FEVER) Shared Task.
CoRR, 2018

FEVER: a Large-scale Dataset for Fact Extraction and VERification.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Automated Fact Checking: Task Formulations, Methods and Future Directions.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

2017
Fake news stance detection using stacked ensemble of classifiers.
Proceedings of the 2017 Workshop: Natural Language Processing meets Journalism, 2017

An Extensible Framework for Verification of Numerical Claims.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017


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