Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models. - Naoki Egami; Musashi Hinck; Brandon M. Stewart; Hanying Wei (NeurIPS, 2023)

Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models. - Paul Röttger; Valentin Hofmann; Valentina Pyatkin; Musashi Hinck; Hannah Kirk; Hinrich Schütze; Dirk Hovy (ACL (1), 2024)

Why do LLaVA Vision-Language Models Reply to Images in English? - Musashi Hinck; Carolin Holtermann; Matthew L. Olson; Florian Schneider 001; Sungduk Yu; Anahita Bhiwandiwalla; Anne Lauscher; Shao-Yen Tseng; Vasudev Lal (EMNLP (Findings), 2024)

AutoPersuade: A Framework for Evaluating and Explaining Persuasive Arguments. - Till Saenger; Musashi Hinck; Justin Grimmer; Brandon M. Stewart (EMNLP, 2024)

LLaVA-Gemma: Accelerating Multimodal Foundation Models with a Compact Language Model. - Musashi Hinck; Matthew L. Olson; David Cobbley; Shao-Yen Tseng; Vasudev Lal (CoRR, 2024)

ClimDetect: A Benchmark Dataset for Climate Change Detection and Attribution. - Sungduk Yu; Brian L. White; Anahita Bhiwandiwalla; Musashi Hinck; Matthew Lyle Olson; Tung Nguyen; Vasudev Lal (CoRR, 2024)

Debiasing Large Vision-Language Models by Ablating Protected Attribute Representations. - Neale Ratzlaff; Matthew Lyle Olson; Musashi Hinck; Shao-Yen Tseng; Vasudev Lal; Phillip Howard (CoRR, 2024)

Debias your Large Multi-Modal Model at Test-Time with Non-Contrastive Visual Attribute Steering. - Neale Ratzlaff; Matthew Lyle Olson; Musashi Hinck; Estelle Aflalo; Shao-Yen Tseng; Vasudev Lal; Phillip Howard (CoRR, 2024)

Steering Large Language Models to Evaluate and Amplify Creativity. - Matthew Lyle Olson; Neale Ratzlaff; Musashi Hinck; Shao-Yen Tseng; Vasudev Lal (CoRR, 2024)

Analyzing Hierarchical Structure in Vision Models with Sparse Autoencoders. - Matthew Lyle Olson; Musashi Hinck; Neale Ratzlaff; Changbai Li; Phillip Howard; Vasudev Lal; Shao-Yen Tseng (CVPR Workshops, 2025)

IssueBench: Millions of Realistic Prompts for Measuring Issue Bias in LLM Writing Assistance. - Paul Röttger; Musashi Hinck; Valentin Hofmann; Kobi Hackenburg; Valentina Pyatkin; Faeze Brahman; Dirk Hovy (CoRR, 2025)

Semantic Specialization in MoE Appears with Scale: A Study of DeepSeek R1 Expert Specialization. - Matthew Lyle Olson; Neale Ratzlaff; Musashi Hinck; Man Luo; Sungduk Yu; Chendi Xue; Vasudev Lal (CoRR, 2025)