James Thorne
47 papers · 2017–2026 · 9 venues · across top CS/AI venues
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Research topics
Machine Learning
(30)
Natural Language Processing
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Artificial Intelligence
(25)
Core AI
(22)
Applications
(19)
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(13)
Learning Types Β· Machine Learning
(13)
Deep Learning
(12)
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Models
(6)
Optimization & Theory
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(5)
Computer Vision
(3)
Keywords
large language model
(10)
fact verification
(9)
evidence retrieval
(7)
natural language inference
(6)
question answering
(5)
information retrieval
(4)
claim verification
(4)
language model
(3)
contrastive learning
(3)
fact extraction
(3)
open-domain question answering
(3)
reward modeling
(3)
text classification
(2)
zero-shot learning
(2)
benchmark dataset
(2)
adversarial attack
(2)
diffusion model
(2)
passage retrieval
(2)
preference optimization
(2)
text-to-image generation
(2)
Papers
Margin-Aware Preference Optimization for Aligning Diffusion Models Without Reference
AAAI 2026
Context Filtering with Reward Modeling in Question Answering
COLING 2025
Cross-lingual Transfer of Reward Models in Multilingual Alignment
NAACL 2025
Diffusion Models Through a Global Lens: Are They Culturally Inclusive?
ACL 2025
Evaluating the Consistency of LLM Evaluators
COLING 2025
From Evidence to Belief: A Bayesian Epistemology Approach to Language Models
NAACL 2025
I0T: Embedding Standardization Method Towards Zero Modality Gap
ACL 2025
Learning to Insert [PAUSE] Tokens for Better Reasoning
ACL 2025
Linguistic Generalizability of Test-Time Scaling in Mathematical Reasoning
ACL 2025
On the Robustness of Reward Models for Language Model Alignment
ICML 2025
Sightation Counts: Leveraging Sighted User Feedback in Building a BLV-aligned Dataset of Diagram Descriptions
ACL 2025
WHEN TOM EATS KIMCHI: Evaluating Cultural Awareness of Multimodal Large Language Models in Cultural Mixture Contexts
NAACL 2025
BEnQA: A Question Answering Benchmark for Bengali and English
ACL 2024
Block Transformer: Global-to-Local Language Modeling for Fast Inference
NeurIPS 2024
Capturing the Relationship Between Sentence Triplets for LLM and Human-Generated Texts to Enhance Sentence Embeddings
EACL 2024
CLIcK: A Benchmark Dataset of Cultural and Linguistic Intelligence in Korean
COLING 2024
Epistemology of Language Models: Do Language Models Have Holistic Knowledge?
ACL 2024
FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets
ICLR 2024
Multi-hop Database Reasoning with Virtual Knowledge Graph
ACL 2024
ORPO: Monolithic Preference Optimization without Reference Model
EMNLP 2024
Prometheus: Inducing Fine-Grained Evaluation Capability in Language Models
ICLR 2024
Re3val: Reinforced and Reranked Generative Retrieval
EACL 2024
Stable Language Model Pre-training by Reducing Embedding Variability
EMNLP 2024
The Automated Verification of Textual Claims (AVeriTeC) Shared Task
EMNLP 2024
XFACT Team0331 at PerspectiveArg2024: Sampling from Bounded Clusters for Diverse Relevant Argument Retrieval
ACL 2024
Can Large Language Models Capture Dissenting Human Voices?
EMNLP 2023
Detrimental Contexts in Open-Domain Question Answering
EMNLP 2023
Disentangling Structure and Style: Political Bias Detection in News by Inducing Document Hierarchy
EMNLP 2023
FactKG: Fact Verification via Reasoning on Knowledge Graphs
ACL 2023
HARE: Explainable Hate Speech Detection with Step-by-Step Reasoning
EMNLP 2023
Knowledge Corpus Error in Question Answering
EMNLP 2023
VisAlign: Dataset for Measuring the Alignment between AI and Humans in Visual Perception
NeurIPS 2023
Data-Efficient Auto-Regressive Document Retrieval for Fact Verification
EMNLP 2022
Database reasoning over text
ACL 2021
Elastic weight consolidation for better bias inoculation
EACL 2021
Evidence-based Factual Error Correction
ACL 2021
KILT: a Benchmark for Knowledge Intensive Language Tasks
NAACL 2021
The Fact Extraction and VERification Over Unstructured and Structured information (FEVEROUS) Shared Task
EMNLP 2021
Evaluating adversarial attacks against multiple fact verification systems
EMNLP 2019
Generating Token-Level Explanations for Natural Language Inference
NAACL 2019
Proceedings of the Second Workshop on Fact Extraction and VERification (FEVER)
EMNLP 2019
The FEVER2.0 Shared Task
EMNLP 2019
Automated Fact Checking: Task Formulations, Methods and Future Directions
COLING 2018
FEVER: a Large-scale Dataset for Fact Extraction and VERification
NAACL 2018
Proceedings of the First Workshop on Fact Extraction and VERification (FEVER)
EMNLP 2018
The Fact Extraction and VERification (FEVER) Shared Task
EMNLP 2018
An Extensible Framework for Verification of Numerical Claims
EACL 2017