Author

Michal Golovanevsky

Observed name: Golovanevsky, Michal

Institutions: Harvard University, Brown University

Observed institutions: Harvard University, Brown University

OpenAlex ID: A5019199746

Multimodal attention-based deep learning for Alzheimer’s disease diagnosis

2022 · Michal Golovanevsky, Carsten Eickhoff, et al. · Journal of the American Medical Informatics Association · 164

Forgotten Polygons: Multimodal Large Language Models are Shape-Blind

2025 · William Rudman, Michal Golovanevsky, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 9

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One-Versus-Others Attention: Scalable Multimodal Integration for Biomedical Data

2024 · Michal Golovanevsky, Eva Schiller, et al. · Pacific Symposium on Biocomputing (PSB) · 6

What Do VLMs NOTICE? A Mechanistic Interpretability Pipeline for Gaussian-Noise-free Text-Image Corruption and Evaluation

2024 · Golovanevsky, Michal, Rudman, William, et al. · arXiv (Cornell University) · 2

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Mechanisms of Prompt-Induced Hallucination in Vision–Language Models

2026 · William Rudman, Michal Golovanevsky, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 1

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What Do VLMs NOTICE? A Mechanistic Interpretability Pipeline for Gaussian-Noise-free Text-Image Corruption and Evaluation

2025 · Michal Golovanevsky, William Rudman, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 1

Pixels Versus Priors: Controlling Knowledge Priors in Vision-Language Models through Visual Counterfacts

2025 · Michal Golovanevsky, William Rudman, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 1

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PiCME: Pipeline for contrastive modality evaluation and encoding in the MIMIC dataset

2026 · Michal Golovanevsky, Pranav Mahableshwarkar, et al.

Mechanisms of Prompt-Induced Hallucination in Vision–Language Models

2026 · Association for Computational Linguistics 2026, Arad, Dana, et al. · Underline Science Inc.

Is There Knowledge Left to Extract? Evidence of Fragility in Medically Fine-Tuned Vision-Language Models

2026 · McLaughlin, Oliver, Shubin, Daniel, et al. · arXiv (Cornell University)

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When to Call an Apple Red: Humans Follow Introspective Rules, VLMs Don't

2026 · Nemitz, Jonathan, Eickhoff, Carsten, et al. · arXiv (Cornell University)

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Less is More: Label-Guided Efficient Summarization of Procedural and Instructional Videos

2026 · Rajpal, Shreya, Golovanevsky, Michal, et al. · arXiv (Cornell University)

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Mechanisms of Prompt-Induced Hallucination in Vision-Language Models

2026 · Rudman, William, Golovanevsky, Michal, et al. · arXiv (Cornell University)

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Anchored, Not Graded: Vision-Language Models Fail at Slant-from-Texture Perception

2026 · Qian Zhang, Michal Golovanevsky, et al. · Lecture notes in computer science

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Vision-Default, Prior-Override: Causal Mechanisms of Perception-Knowledge Conflict in Vision-Language Models

2026 · Niclas Lietzow, Danielle Bitterman, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)

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One-vs-others attention: Scalable multimodal learning

2024 · Michal Golovanevsky, Eva Schiller, et al.

Works count: 18

Citation count: 184

H-index: 3

I10-index: 1