Musashi Hinck

24 papers A* 3Journal 14Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
IssueBench: Millions of Realistic Prompts for Measuring Issue Bias in LLM Writing Assistance.
Trans. Assoc. Comput. Linguistics
Paul Röttger, Musashi Hinck, Valentin Hofmann, Kobi Hackenburg, Valentina Pyatkin, Faeze Brahman, Dirk Hovy
2026 A* conf
LieCraft: A Multi-Agent Framework for Evaluating Deceptive Capabilities in Language Models.
AAAI
Matthew Lyle Olson, Neale Ratzlaff, Musashi Hinck, Tri Nguyen, Vasudev Lal, Joseph Campbell, Simon Stepputtis, Shao-Yen Tseng
2026 J jnl
LieCraft: A Multi-Agent Framework for Evaluating Deceptive Capabilities in Language Models.
CoRR
Matthew Lyle Olson, Neale Ratzlaff, Musashi Hinck, Tri Nguyen, Vasudev Lal, Joseph Campbell, Simon Stepputtis, Shao-Yen Tseng
2025 — conf
Analyzing Hierarchical Structure in Vision Models with Sparse Autoencoders.
CVPR Workshops
Matthew Lyle Olson, Musashi Hinck, Neale Ratzlaff, Changbai Li, Phillip Howard, Vasudev Lal, Shao-Yen Tseng
2025 J jnl
Analyzing Hierarchical Structure in Vision Models with Sparse Autoencoders.
CoRR
Matthew Lyle Olson, Musashi Hinck, Neale Ratzlaff, Changbai Li, Phillip Howard, Vasudev Lal, Shao-Yen Tseng
2025 — conf
BLIP-3: A Family of Open Large Multimodal Models.
ICCVW
Le Xue, Manli Shu, Anas Awadalla, Jun Wang, An Yan, Senthil Purushwalkam, Honglu Zhou, Viraj Prabhu, Yutong Dai, Michael S. Ryoo, Shrikant Kendre, Jieyu Zhang, Shao-Yen Tseng, Gustavo A. Lujan-Moreno, Matthew L. Olson, Musashi Hinck, David Cobbley, Vasudev Lal, Can Qin, Shu Zhang, Chia-Chih Chen, Ning Yu, Juntao Tan, Tulika Manoj Awalgaonkar, Shelby Heinecke, Huan Wang, Yejin Choi, Ludwig Schmidt, Zeyuan Chen, Silvio Savarese, Juan Carlos Niebles, Caiming Xiong, Ran Xu
2025 — conf
Debias Your Large Multi-Modal Model at Test-Time via Non-Contrastive Visual Attribute Steering.
ICCVW
Neale Ratzlaff, Matthew Lyle Olson, Musashi Hinck, Shao-Yen Tseng, Vasudev Lal, Phillip Howard
2025 J jnl
IssueBench: Millions of Realistic Prompts for Measuring Issue Bias in LLM Writing Assistance.
CoRR
Paul Röttger, Musashi Hinck, Valentin Hofmann, Kobi Hackenburg, Valentina Pyatkin, Faeze Brahman, Dirk Hovy
2025 — conf
Probing Semantic Routing in Large Mixture-of-Expert Models.
EMNLP (Findings)
Matthew Lyle Olson, Neale Ratzlaff, Musashi Hinck, Man Luo, Sungduk Yu, Chendi Xue, Vasudev Lal
2025 — conf
Probing the Representational Power of Sparse Autoencoders in Vision Models.
ICCVW
Matthew L. Olson, Musashi Hinck, Neale Ratzlaff, Changbai Li, Phillip Howard, Vasudev Lal, Shao-Yen Tseng
2025 J jnl
Probing the Representational Power of Sparse Autoencoders in Vision Models.
CoRR
Matthew Lyle Olson, Musashi Hinck, Neale Ratzlaff, Changbai Li, Phillip Howard, Vasudev Lal, Shao-Yen Tseng
2025 J jnl
Semantic Specialization in MoE Appears with Scale: A Study of DeepSeek R1 Expert Specialization.
CoRR
Matthew Lyle Olson, Neale Ratzlaff, Musashi Hinck, Man Luo, Sungduk Yu, Chendi Xue, Vasudev Lal
2024 A* conf
AutoPersuade: A Framework for Evaluating and Explaining Persuasive Arguments.
EMNLP
Till Saenger, Musashi Hinck, Justin Grimmer, Brandon M. Stewart
2024 J jnl
AutoPersuade: A Framework for Evaluating and Explaining Persuasive Arguments.
CoRR
Till Saenger, Musashi Hinck, Justin Grimmer, Brandon M. Stewart
2024 J jnl
ClimDetect: A Benchmark Dataset for Climate Change Detection and Attribution.
CoRR
Sungduk Yu, Brian L. White, Anahita Bhiwandiwalla, Musashi Hinck, Matthew Lyle Olson, Tung Nguyen, Vasudev Lal
2024 J jnl
Debias your Large Multi-Modal Model at Test-Time with Non-Contrastive Visual Attribute Steering.
CoRR
Neale Ratzlaff, Matthew Lyle Olson, Musashi Hinck, Estelle Aflalo, Shao-Yen Tseng, Vasudev Lal, Phillip Howard
2024 J jnl
Debiasing Large Vision-Language Models by Ablating Protected Attribute Representations.
CoRR
Neale Ratzlaff, Matthew Lyle Olson, Musashi Hinck, Shao-Yen Tseng, Vasudev Lal, Phillip Howard
2024 J jnl
LLaVA-Gemma: Accelerating Multimodal Foundation Models with a Compact Language Model.
CoRR
Musashi Hinck, Matthew L. Olson, David Cobbley, Shao-Yen Tseng, Vasudev Lal
2024 — conf
Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models.
ACL (1)
Paul Röttger, Valentin Hofmann, Valentina Pyatkin, Musashi Hinck, Hannah Kirk, Hinrich Schütze, Dirk Hovy
2024 J jnl
Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models.
CoRR
Paul Röttger, Valentin Hofmann, Valentina Pyatkin, Musashi Hinck, Hannah Rose Kirk, Hinrich Schütze, Dirk Hovy
2024 J jnl
Steering Large Language Models to Evaluate and Amplify Creativity.
CoRR
Matthew Lyle Olson, Neale Ratzlaff, Musashi Hinck, Shao-Yen Tseng, Vasudev Lal
2024 — conf
Why do LLaVA Vision-Language Models Reply to Images in English?
EMNLP (Findings)
Musashi Hinck, Carolin Holtermann, Matthew L. Olson, Florian Schneider, Sungduk Yu, Anahita Bhiwandiwalla, Anne Lauscher, Shao-Yen Tseng, Vasudev Lal
2024 J jnl
Why do LLaVA Vision-Language Models Reply to Images in English?
CoRR
Musashi Hinck, Carolin Holtermann, Matthew Lyle Olson, Florian Schneider, Sungduk Yu, Anahita Bhiwandiwalla, Anne Lauscher, Shao-Yen Tseng, Vasudev Lal
2023 A* conf
Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models.
NeurIPS
Naoki Egami, Musashi Hinck, Brandon M. Stewart, Hanying Wei