6 papers
On the Chain-of-Thought Monitorability of Looped Language Models
Han Wang, Ishwar B Balappanawar, Huan Zhang
Chain-of-thought (CoT) monitoring provides a promising approach for detecting undesirable model behavior. Looped language models (LoopLMs) repeatedly apply shared transformer layer…
LABELING COPILOT: A Deep Research Agent for Automated Data Curation in Computer Vision
Debargha Ganguly, Sumit Kumar, Ishwar Balappanawar +6
Curating high-quality, domain-specific datasets is a major bottleneck for deploying robust vision systems, requiring complex trade-offs between data quality, diversity, and cost wh…
Who's the Evil Twin? Differential Auditing for Undesired Behavior
Ishwar Balappanawar, Venkata Hasith Vattikuti, Greta Kintzley +2
Detecting hidden behaviors in neural networks poses a significant challenge due to minimal prior knowledge and potential adversarial obfuscation. We explore this problem by framing…
Flying Pigs, FaR and Beyond: Evaluating LLM Reasoning in Counterfactual Worlds
Anish R Joishy, Ishwar B Balappanawar, Vamshi Krishna Bonagiri +3
A fundamental challenge in reasoning is navigating hypothetical, counterfactual worlds where logic may conflict with ingrained knowledge. We investigate this frontier for Large Lan…
A Practical Exercise in Adapting SIFT Using FHE Primitives
Ishwar B Balappanawar, Bhargav Srinivas Kommireddy
An exercise in implementing Scale Invariant Feature Transform using CKKS Fully Homomorphic encryption quickly reveals some glaring limitations in the current FHE paradigm. These li…
Towards Infusing Auxiliary Knowledge for Distracted Driver Detection
Ishwar B Balappanawar, Ashmit Chamoli, Ruwan Wickramarachchi +3
Distracted driving is a leading cause of road accidents globally. Identification of distracted driving involves reliably detecting and classifying various forms of driver distracti…