5 papers
Conditional Optimal Bridge for Riemannian Activation Steering
Seyed Arshan Dalili, Ajay Narayanan Sridhar, Vijaykrishnan Narayanan +1
Activation steering offers a lightweight alternative to fine-tuning for controlling large language models at inference time. While many existing methods implicitly optimize a log-d…
Correlation-Aware Contextual Bandits with Surrogate Rewards for LLM Routing
Ajay Narayanan Sridhar, Ronak Singh, Mehrdad Mahdavi +1
We study contextual bandit problems with correlated arms and access to surrogate reward signals produced by a machine learning model, motivated by applications such as large langua…
When Relations Break: Analyzing Relation Hallucination in Vision-Language Model Under Rotation and Noise
Philip Wootaek Shin, Ajay Narayanan Sridhar, Sivani Devarapalli +3
Vision-language models (VLMs) achieve strong multimodal performance but remain prone to relation hallucination, which requires accurate reasoning over inter-object interactions. We…
Evaluating Large Language Models on Rare Disease Diagnosis: A Case Study using House M.D
Arsh Gupta, Ajay Narayanan Sridhar, Bonam Mingole +1
Large language models (LLMs) have demonstrated capabilities across diverse domains, yet their performance on rare disease diagnosis from narrative medical cases remains underexplor…
NaviSense: A Multimodal Assistive Mobile application for Object Retrieval by Persons with Visual Impairment
Ajay Narayanan Sridhar, Fuli Qiao, Nelson Daniel Troncoso Aldas +4
People with visual impairments often face significant challenges in locating and retrieving objects in their surroundings. Existing assistive technologies present a trade-off: syst…