3 papers
cs.CV2026
Geometry-Aware CLIP Retrieval via Local Cross-Modal Alignment and Steering
Nirmalendu Prakash, Narmeen Fatimah Oozeer, Xin Su +8
CLIP retrieval is typically framed as a pointwise similarity problem in a shared embedding space. While CLIP achieves strong global cross-modal alignment, many retrieval failures a…
cs.LG2025
Representational Alignment Across Model Layers and Brain Regions with Multi-Level Optimal Transport
Shaan Shah, Meenakshi Khosla
Standard representational similarity methods align each layer of a network to its best match in another independently, producing asymmetric results, lacking a global alignment scor…
cs.LG2025
Safety Subspaces are Not Linearly Distinct: A Fine-Tuning Case Study
Kaustubh Ponkshe, Shaan Shah, Raghav Singhal +1
Large Language Models (LLMs) rely on safety alignment to produce socially acceptable responses. However, this behavior is known to be brittle: further fine-tuning, even on benign o…