Hazel Kim

According to our database, Hazel Kim authored at least 9 papers between 2022 and 2025.

Collaborative distances:

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

2025

Single LLM Debate, MoLaCE: Mixture of Latent Concept Experts Against Confirmation Bias.

Hazel Kim, Philip Torr

CoRR, December, 2025

Measuring what Matters: Construct Validity in Large Language Model Benchmarks.

Andrew M. Bean, Ryan Othniel Kearns, Angelika Romanou, Franziska Sofia Hafner, Harry Mayne, Jan Batzner, Negar Foroutan, Chris Schmitz, Karolina Korgul, Hunar Batra, Oishi Deb, Emma Beharry, Cornelius Emde, Thomas Foster, Anna Gausen, María Grandury, Simeng Han, Valentin Hofmann, Lujain Ibrahim, Hazel Kim, Hannah Rose Kirk, Fangru Lin, Gabrielle Kaili-May Liu, Lennart Luettgau, Jabez Magomere, Jonathan Rystrøm, Anna Sotnikova, Yushi Yang, Yilun Zhao, Adel Bibi, Antoine Bosselut, Ronald Clark, Arman Cohan, Jakob N. Foerster, Yarin Gal, Scott A. Hale, Inioluwa Deborah Raji, Christopher Summerfield, Philip H. S. Torr, Cozmin Ududec, Luc Rocher, Adam Mahdi

CoRR, November, 2025

Detecting LLM Hallucination Through Layer-wise Information Deficiency: Analysis of Ambiguous Prompts and Unanswerable Questions.

Hazel Kim, Tom A. Lamb, Adel Bibi, Philip Torr, Yarin Gal

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

How Ambiguous Are the Rationales for Natural Language Reasoning? A Simple Approach to Handling Rationale Uncertainty.

Hazel H. Kim

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

Detecting LLM Hallucination Through Layer-wise Information Deficiency: Analysis of Unanswerable Questions and Ambiguous Prompts.

Hazel Kim, Adel Bibi, Philip Torr, Yarin Gal

CoRR, 2024

AURA: Natural Language Reasoning for Aleatoric Uncertainty in Rationales.

Hazel Kim

CoRR, 2024

2023

ATHENA: Mathematical Reasoning with Thought Expansion.

JB. Kim, Hazel Kim, Joonghyuk Hahn, Yo-Sub Han

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

2022

LST: Lexicon-Guided Self-Training for Few-Shot Text Classification.

Hazel Kim, Jaeman Son, Yo-Sub Han

CoRR, 2022

ALP: Data Augmentation Using Lexicalized PCFGs for Few-Shot Text Classification.

Hazel H. Kim, Daecheol Woo, Seong Joon Oh, Jeong-Won Cha, Yo-Sub Han

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022