Ben Wu

According to our database, Ben Wu authored at least 12 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

ESG-Bench: Benchmarking Long-Context ESG Reports for Hallucination Mitigation.

Siqi Sun, Ben Peng Wu, Mali Jin, Peizhen Bai, Hanpei Zhang, Xingyi Song

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Dense SAE Latents Are Features, Not Bugs.

Xiaoqing Sun, Alessandro Stolfo, Joshua Engels, Ben Wu, Senthooran Rajamanoharan, Mrinmaya Sachan, Max Tegmark

CoRR, June, 2025

Efficient Annotator Reliability Assessment and Sample Weighting for Knowledge-Based Misinformation Detection on Social Media.

Owen Cook, Charlie Grimshaw, Ben Peng Wu, Sophie Dillon, Jack Hicks, Luke Jones, Thomas Smith, Matyas Szert, Xingyi Song

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

2024

Comparison between parameter-efficient techniques and full fine-tuning: A case study on multilingual news article classification.

Olesya Razuvayevskaya, Ben Wu, João Augusto Leite, Freddy Heppell, Ivan Srba, Carolina Scarton, Kalina Bontcheva, Xingyi Song

Dataset, May, 2024

Confidence Regulation Neurons in Language Models.

Alessandro Stolfo, Ben Wu, Wes Gurnee, Yonatan Belinkov, Xingyi Song, Mrinmaya Sachan, Neel Nanda

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

Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science.

Yida Mu, Ben P. Wu, William Thorne, Ambrose Robinson, Nikolaos Aletras, Carolina Scarton, Kalina Bontcheva, Xingyi Song

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Overview of the CLEF-2024 CheckThat! Lab Task 6 on Robustness of Credibility Assessment with Adversarial Examples (InCrediblAE).

Piotr Przybyla, Ben Wu, Alexander V. Shvets, Yida Mu, Kim Cheng Sheang, Xingyi Song, Horacio Saggion

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

2023

Comparison between parameter-efficient techniques and full fine-tuning: A case study on multilingual news article classification.

Olesya Razuvayevskaya, Ben Wu, João Augusto Leite, Freddy Heppell, Ivan Srba, Carolina Scarton, Kalina Bontcheva, Xingyi Song

CoRR, 2023

Bio-SIEVE: Exploring Instruction Tuning Large Language Models for Systematic Review Automation.

Ambrose Robinson, William Thorne, Ben Wu, Abdullah Pandor, Munira Essat, Mark Stevenson, Xingyi Song

CoRR, 2023

Team SheffieldVeraAI at SemEval-2023 Task 3: Mono and multilingual approaches for news genre, topic and persuasion technique classification.

Ben Wu, Olesya Razuvayevskaya, Freddy Heppell, João Augusto Leite, Carolina Scarton, Kalina Bontcheva, Xingyi Song

CoRR, 2023

SheffieldVeraAI at SemEval-2023 Task 3: Mono and Multilingual Approaches for News Genre, Topic and Persuasion Technique Classification.

Ben Wu, Olesya Razuvayevskaya, Freddy Heppell, João Augusto Leite, Carolina Scarton, Kalina Bontcheva, Xingyi Song

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

Don't waste a single annotation: improving single-label classifiers through soft labels.

Ben Wu, Yue Li, Yida Mu, Carolina Scarton, Kalina Bontcheva, Xingyi Song

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