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Maisha Maliha

ACL 2026×2CVPR 2026×2ICLR 2026×2可解释性多模态安全检索与知识理论与学习动力学
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2 一作 · 6 篇 · ACL 2026 / CVPR 2026 / ICLR 2026

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2026 顶会论文

6
作者位次 #2/4ICLR 2026Poster· Theory / Interpretability and Visualization

Hessian-Enhanced Token Attribution (HETA): Interpreting Autoregressive LLMs

Vishal Pramanik · Maisha Maliha · Nathaniel Bastian · Sumit Jha

可解释性多模态理论与学习动力学OpenReview
一作CVPR 2026Poster· Computer Vision & Pattern Recognition

CIGMA: Causal Information-Gain Mechanistic Attribution of Attention Heads in Vision Transformers

Maisha Maliha · Dean F. Hougen

可解释性多模态OpenReview 项目页
作者位次 #2/6ACL 2026Findings· Findings of ACL

NSF - C o T : Neuro-Symbolic Formal Verification of Chain-of-Thought Faithfulness in Contextual Question Answering

Vishal Pramanik · Maisha Maliha · Nathaniel D. Bastian · Alvaro Velasquez · Susmit Jha · Sumit Kumar Jha

摘要

Chain-of-thought (CoT) prompting makes language models write step-by-step explanations, but these steps may not match what the model actually used to choose its answer. Existing faithfulness checks often only test whether changing the written chain changes the answer, without verifying whether th...

推理检索与知识安全OpenReview 项目页
一作ACL 2026Findings· Findings of ACL

Mechanistic Interpretability of Text-to-Image Diffusion Models via Cross-Attention Interventions

Maisha Maliha · Dean F. Hougen

摘要

Text-to-image diffusion models achieve remarkable generation quality, yet their internal mechanisms for grounding prompt semantics into visual structure remain poorly understood. We present a novel mechanistic interpretability framework for Stable Diffusion that probes how individual prompt token...

可解释性多模态检索与知识OpenReview 项目页

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