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James Thorne
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2020 – today
- 2024
- [j3]Max Glockner, Ieva Staliunaite, James Thorne, Gisela Vallejo, Andreas Vlachos
, Iryna Gurevych:
AmbiFC: Fact-Checking Ambiguous Claims with Evidence. Trans. Assoc. Comput. Linguistics 12: 1-18 (2024) - [j2]Max Glockner, Ieva Staliunaite, James Thorne, Gisela Vallejo, Andreas Vlachos, Iryna Gurevych:
AmbiFC: Fact-Checking Ambiguous Claims with Evidence. Trans. Assoc. Comput. Linguistics 12: 1-18 (2024) - [c27]Sheikh Shafayat, H. M. Quamran Hasan, Minhajur Rahman Chowdhury Mahim, Rifki Afina Putri, James Thorne, Alice Oh:
BEnQA: A Question Answering Benchmark for Bengali and English. ACL (Findings) 2024: 1158-1177 - [c26]Minsu Kim, James Thorne:
Epistemology of Language Models: Do Language Models Have Holistic Knowledge? ACL (Findings) 2024: 12644-12669 - [c25]Eunsu Kim, Juyoung Suk, Philhoon Oh, Haneul Yoo, James Thorne, Alice Oh:
CLIcK: A Benchmark Dataset of Cultural and Linguistic Intelligence in Korean. LREC/COLING 2024: 3335-3346 - [c24]EuiYul Song, Sangryul Kim, Haeju Lee, Joonkee Kim, James Thorne:
Re3val: Reinforced and Reranked Generative Retrieval. EACL (Findings) 2024: 393-409 - [c23]Na Min An, Sania Waheed, James Thorne:
Capturing the Relationship Between Sentence Triplets for LLM and Human-Generated Texts to Enhance Sentence Embeddings. EACL (Findings) 2024: 624-638 - [c22]Seungone Kim, Jamin Shin, Yejin Choi, Joel Jang, Shayne Longpre, Hwaran Lee, Sangdoo Yun, Seongjin Shin, Sungdong Kim, James Thorne, Minjoon Seo:
Prometheus: Inducing Fine-Grained Evaluation Capability in Language Models. ICLR 2024 - [c21]Seonghyeon Ye, Doyoung Kim, Sungdong Kim, Hyeonbin Hwang, Seungone Kim, Yongrae Jo, James Thorne, Juho Kim, Minjoon Seo:
FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets. ICLR 2024 - [i32]EuiYul Song, Sangryul Kim, Haeju Lee, Joonkee Kim, James Thorne:
Re3val: Reinforced and Reranked Generative Retrieval. CoRR abs/2401.16979 (2024) - [i31]EuiYul Song, Philhoon Oh, Sangryul Kim, James Thorne:
eXplainable Bayesian Multi-Perspective Generative Retrieval. CoRR abs/2402.02418 (2024) - [i30]Minju Seo, Jinheon Baek, James Thorne, Sung Ju Hwang:
Retrieval-Augmented Data Augmentation for Low-Resource Domain Tasks. CoRR abs/2402.13482 (2024) - [i29]Eunsu Kim, Juyoung Suk, Philhoon Oh, Haneul Yoo, James Thorne, Alice Oh:
CLIcK: A Benchmark Dataset of Cultural and Linguistic Intelligence in Korean. CoRR abs/2403.06412 (2024) - [i28]Jiwoo Hong, Noah Lee, James Thorne:
ORPO: Monolithic Preference Optimization without Reference Model. CoRR abs/2403.07691 (2024) - [i27]Sheikh Shafayat, H. M. Quamran Hasan, Minhajur Rahman Chowdhury Mahim, Rifki Afina Putri
BEnQA: A Question Answering and Reasoning Benchmark for Bengali and English. CoRR abs/2403.10900 (2024) - [i26]Minsu Kim, James Thorne:
Epistemology of Language Models: Do Language Models Have Holistic Knowledge? CoRR abs/2403.12862 (2024) - [i25]Namgyu Ho, Sangmin Bae, Taehyeon Kim, Hyunjik Jo, Yireun Kim, Tal Schuster, Adam Fisch, James Thorne, Se-Young Yun:
Block Transformer: Global-to-Local Language Modeling for Fast Inference. CoRR abs/2406.02657 (2024) - [i24]Jiwoo Hong, Sayak Paul, Noah Lee, Kashif Rasul, James Thorne, Jongheon Jeong:
Margin-aware Preference Optimization for Aligning Diffusion Models without Reference. CoRR abs/2406.06424 (2024) - [i23]Woojin Chung, Jiwoo Hong, Na Min An, James Thorne, Se-Young Yun:
Stable Language Model Pre-training by Reducing Embedding Variability. CoRR abs/2409.07787 (2024) - 2023
- [c20]Jiho Kim, Sungjin Park, Yeonsu Kwon, Yohan Jo, James Thorne, Edward Choi:
FactKG: Fact Verification via Reasoning on Knowledge Graphs. ACL (1) 2023: 16190-16206 - [c19]Noah Lee, Na An, James Thorne:
Can Large Language Models Capture Dissenting Human Voices? EMNLP 2023: 4569-4585 - [c18]Yongjin Yang, Joonkee Kim, Yujin Kim, Namgyu Ho, James Thorne, Se-Young Yun:
HARE: Explainable Hate Speech Detection with Step-by-Step Reasoning. EMNLP (Findings) 2023: 5490-5505 - [c17]Jiwoo Hong, Yejin Cho, Jiyoung Han, Jaemin Jung, James Thorne:
Disentangling Structure and Style: Political Bias Detection in News by Inducing Document Hierarchy. EMNLP (Findings) 2023: 5664-5686 - [c16]Yejoon Lee, Philhoon Oh, James Thorne:
Knowledge Corpus Error in Question Answering. EMNLP (Findings) 2023: 9183-9197 - [c15]Philhoon Oh, James Thorne:
Detrimental Contexts in Open-Domain Question Answering. EMNLP (Findings) 2023: 11589-11605 - [c14]Jiyoung Lee, Seungho Kim, Seunghyun Won, Joonseok Lee, Marzyeh Ghassemi, James Thorne, Jaeseok Choi, O.-Kil Kwon, Edward Choi:
VisAlign: Dataset for Measuring the Alignment between AI and Humans in Visual Perception. NeurIPS 2023 - [i22]Jiwoo Hong, Yejin Cho, Jaemin Jung, Jiyoung Han
Disentangling Structure and Style: Political Bias Detection in News by Inducing Document Hierarchy. CoRR abs/2304.02247 (2023) - [i21]Jiho Kim, Sungjin Park, Yeonsu Kwon, Yohan Jo, James Thorne, Edward Choi:
FactKG: Fact Verification via Reasoning on Knowledge Graphs. CoRR abs/2305.06590 (2023) - [i20]Noah Lee, Na Min An, James Thorne:
Can Large Language Models Infer and Disagree Like Humans? CoRR abs/2305.13788 (2023) - [i19]Seonghyeon Ye, Doyoung Kim, Sungdong Kim, Hyeonbin Hwang, Seungone Kim, Yongrae Jo, James Thorne, Juho Kim, Minjoon Seo:
FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets. CoRR abs/2307.10928 (2023) - [i18]Jiyoung Lee, Seungho Kim, Seunghyun Won, Joonseok Lee, Marzyeh Ghassemi, James Thorne, Jaeseok Choi, O.-Kil Kwon, Edward Choi:
VisAlign: Dataset for Measuring the Degree of Alignment between AI and Humans in Visual Perception. CoRR abs/2308.01525 (2023) - [i17]Seungone Kim, Jamin Shin, Yejin Cho, Joel Jang, Shayne Longpre, Hwaran Lee, Sangdoo Yun, Seongjin Shin, Sungdong Kim, James Thorne, Minjoon Seo:
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models. CoRR abs/2310.08491 (2023) - [i16]Yejoon Lee, Philhoon Oh, James Thorne:
Knowledge Corpus Error in Question Answering. CoRR abs/2310.18076 (2023) - [i15]Philhoon Oh, James Thorne:
Detrimental Contexts in Open-Domain Question Answering. CoRR abs/2310.18077 (2023) - [i14]Yongjin Yang, Joonkee Kim, Yujin Kim, Namgyu Ho, James Thorne, Se-young Yun:
HARE: Explainable Hate Speech Detection with Step-by-Step Reasoning. CoRR abs/2311.00321 (2023) - 2022
- [c13]Artsiom Sauchuk, James Thorne, Alon Y. Halevy, Nicola Tonellotto, Fabrizio Silvestri:
On the Role of Relevance in Natural Language Processing Tasks. SIGIR 2022: 1785-1789 - [e2]Sebastian Riedel, Eunsol Choi, Andreas Vlachos, James Thorne, Marek Rei, Fabio Petroni:
4th Conference on Automated Knowledge Base Construction, AKBC 2022, London, UK, November 3-5, 2022. 2022 [contents] - [i13]James Thorne:
Data-Efficient Autoregressive Document Retrieval for Fact Verification. CoRR abs/2211.09388 (2022) - 2021
- [j1]James Thorne, Majid Yazdani, Marzieh Saeidi, Fabrizio Silvestri, Sebastian Riedel, Alon Y. Levy:
From Natural Language Processing to Neural Databases. Proc. VLDB Endow. 14(6): 1033-1039 (2021) - [c12]James Thorne, Majid Yazdani, Marzieh Saeidi, Fabrizio Silvestri, Sebastian Riedel, Alon Y. Halevy:
Database reasoning over text. ACL/IJCNLP (1) 2021: 3091-3104 - [c11]James Thorne, Andreas Vlachos
Evidence-based Factual Error Correction. ACL/IJCNLP (1) 2021: 3298-3309 - [c10]James Thorne, Andreas Vlachos:
Elastic weight consolidation for better bias inoculation. EACL 2021: 957-964 - [c9]Fabio Petroni, Aleksandra Piktus, Angela Fan, Patrick S. H. Lewis, Majid Yazdani, Nicola De Cao
KILT: a Benchmark for Knowledge Intensive Language Tasks. NAACL-HLT 2021: 2523-2544 - [c8]Rami Aly, Zhijiang Guo, Michael Sejr Schlichtkrull, James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Oana Cocarascu, Arpit Mittal:
FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information. NeurIPS Datasets and Benchmarks 2021 - [i12]James Thorne, Max Glockner, Gisela Vallejo, Andreas Vlachos
Evidence-based Verification for Real World Information Needs. CoRR abs/2104.00640 (2021) - [i11]James Thorne, Majid Yazdani, Marzieh Saeidi, Fabrizio Silvestri, Sebastian Riedel, Alon Y. Halevy:
Database Reasoning Over Text. CoRR abs/2106.01074 (2021) - [i10]Rami Aly, Zhijiang Guo, Michael Sejr Schlichtkrull, James Thorne, Andreas Vlachos
FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information. CoRR abs/2106.05707 (2021) - 2020
- [i9]James Thorne, Andreas Vlachos
Avoiding catastrophic forgetting in mitigating model biases in sentence-pair classification with elastic weight consolidation. CoRR abs/2004.14366 (2020) - [i8]Fabio Petroni, Aleksandra Piktus, Angela Fan, Patrick S. H. Lewis
KILT: a Benchmark for Knowledge Intensive Language Tasks. CoRR abs/2009.02252 (2020) - [i7]James Thorne, Majid Yazdani, Marzieh Saeidi, Fabrizio Silvestri, Sebastian Riedel, Alon Y. Halevy:
Neural Databases. CoRR abs/2010.06973 (2020) - [i6]James Thorne, Andreas Vlachos:
Factual Error Correction of Claims. CoRR abs/2012.15788 (2020)
2010 – 2019
- 2019
- [c7]James Thorne, Andreas Vlachos
Evaluating adversarial attacks against multiple fact verification systems. EMNLP/IJCNLP (1) 2019: 2944-2953 - [c6]James Thorne, Andreas Vlachos
Generating Token-Level Explanations for Natural Language Inference. NAACL-HLT (1) 2019: 963-969 - [i5]James Thorne, Andreas Vlachos:
Adversarial attacks against Fact Extraction and VERification. CoRR abs/1903.05543 (2019) - [i4]James Thorne, Andreas Vlachos
Generating Token-Level Explanations for Natural Language Inference. CoRR abs/1904.10717 (2019) - 2018
- [c5]James Thorne, Andreas Vlachos:
Automated Fact Checking: Task Formulations, Methods and Future Directions. COLING 2018: 3346-3359 - [c4]James Thorne, Andreas Vlachos
The Fact Extraction and VERification (FEVER) Shared Task. FEVER@EMNLP 2018: 1-9 - [c3]James Thorne, Andreas Vlachos
FEVER: a Large-scale Dataset for Fact Extraction and VERification. NAACL-HLT 2018: 809-819 - [e1]James Thorne, Andreas Vlachos, Oana Cocarascu, Christos Christodoulopoulos, Arpit Mittal:
Proceedings of the First Workshop on Fact Extraction and VERification, FEVER@EMNLP 2018, Brussels, Belgium, November 1, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-73-5 [contents] - [i3]James Thorne, Andreas Vlachos
FEVER: a large-scale dataset for Fact Extraction and VERification. CoRR abs/1803.05355 (2018) - [i2]James Thorne, Andreas Vlachos:
Automated Fact Checking: Task formulations, methods and future directions. CoRR abs/1806.07687 (2018) - [i1]James Thorne, Andreas Vlachos
The Fact Extraction and VERification (FEVER) Shared Task. CoRR abs/1811.10971 (2018) - 2017
- [c2]James Thorne, Andreas Vlachos
An Extensible Framework for Verification of Numerical Claims. EACL (Software Demonstrations) 2017: 37-40 - [c1]James Thorne, Mingjie Chen, Giorgos Myrianthous, Jiashu Pu, Xiaoxuan Wang, Andreas Vlachos
Fake news stance detection using stacked ensemble of classifiers. NLPmJ@EMNLP 2017: 80-83
Coauthor Index
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last updated on 2024-11-04 20:46 CET by the dblp team
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