8 papers
Intersectional Sycophancy: How Perceived User Demographics Shape False Validation in Large Language Models
Benjamin Maltbie, Shivam Raval
Large language models exhibit sycophantic tendencies, but whether this behavior varies systematically with perceived user demographics is underexplored. Inspired by intersectionali…
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…
Curveball Steering: The Right Direction To Steer Isn't Always Linear
Shivam Raval, Hae Jin Song, Linlin Wu +4
Activation steering is a widely used approach for controlling large language model (LLM) behavior by intervening on internal representations. Existing methods largely rely on the L…
Narrow Fine-Tuning Erodes Safety Alignment in Vision-Language Agents
Idhant Gulati, Shivam Raval
Lifelong multimodal agents must continuously adapt to new tasks through post-training, but this creates a fundamental tension between acquiring capabilities and preserving safety a…
MoE Lens -- An Expert Is All You Need
Marmik Chaudhari, Idhant Gulati, Nishkal Hundia +2
Mixture of Experts (MoE) models enable parameter-efficient scaling through sparse expert activations, yet optimizing their inference and memory costs remains challenging due to lim…
DreamReader: An Interpretability Toolkit for Text-to-Image Models
Nirmalendu Prakash, Narmeen Oozeer, Michael Lan +6
Despite the rapid adoption of text-to-image (T2I) diffusion models, causal and representation-level analysis remains fragmented and largely limited to isolated probing techniques.…