23 citations · 24 across the 9 of their papers we have counts for
10 papers
Detection Without Correction: A Robust Asymmetry in Activation-Based Hallucination Probing
Dip Roy, Rajiv Misra, Sanjay Kumar Singh +1
Activation-based linear probing is widely proposed as a method for both detecting and correcting hallucinations in autoregressive language models. We present an empirical study acr…
Posterior-Calibrated Causal Circuits in Variational Autoencoders: Why Image-Domain Interpretability Fails on Tabular Data
Dip Roy, Rajiv Misra, Sanjay Kumar Singh +1
Although mechanism-based interpretability has generated an abundance of insight for discriminative network analysis, generative models are less understood -- particularly outside o…
Fundamental Limits of Neural Network Sparsification: Evidence from Catastrophic Interpretability Collapse
Dip Roy, Rajiv Misra, Sanjay Kumar Singh
Extreme neural network sparsification (90% activation reduction) presents a critical challenge for mechanistic interpretability: understanding whether interpretable features surviv…
HinTel-AlignBench: A Framework and Benchmark for Hindi-Telugu with English-Aligned Samples
Rishikant Chigrupaatii, Ponnada Sai Tulasi Kanishka, Lalit Chandra Routhu +6
With nearly 1.5 billion people and more than 120 major languages, India represents one of the most diverse regions in the world. As multilingual Vision-Language Models (VLMs) gain…
GASCADE: Grouped Summarization of Adverse Drug Event for Enhanced Cancer Pharmacovigilance
Sofia Jamil, Aryan Dabad, Bollampalli Areen Reddy +3
In the realm of cancer treatment, summarizing adverse drug events (ADEs) reported by patients using prescribed drugs is crucial for enhancing pharmacovigilance practices and improv…
A Multi-Level Causal Intervention Framework for Mechanistic Interpretability in Variational Autoencoders
Dip Roy, Rajiv Misra, Sanjay Kumar Singh +1
Understanding how generative models represent and transform data is a foundational problem in deep learning interpretability. While mechanistic interpretability of discriminative a…
ARDDQN: Attention Recurrent Double Deep Q-Network for UAV Coverage Path Planning and Data Harvesting
Praveen Kumar, Priyadarshni, Rajiv Misra
Unmanned Aerial Vehicles (UAVs) have gained popularity in data harvesting (DH) and coverage path planning (CPP) to survey a given area efficiently and collect data from aerial pers…
Collisionless Pattern Discovery in Robot Swarms Using Deep Reinforcement Learning
Nelson Sharma, Aswini Ghosh, Rajiv Misra +2
We present a deep reinforcement learning-based framework for automatically discovering patterns available in any given initial configuration of fat robot swarms. In particular, we…
Structural control of magnetic anisotropy in a strain driven multiferroic EuTiO3 thin film
X. Ke, T. Birol, R. Misra +5
Octahedral distortion plays a key role in engineering the physical properties of heterostructures composed of perovskite oxides. We observe a strong in-plane uniaxial magnetic anis…
Programmable Cellular Automata Based Efficient Parallel AES Encryption Algorithm
Debasis Das, Rajiv Misra
Cellular Automata(CA) is a discrete computing model which provides simple, flexible and efficient platform for simulating complicated systems and performing complex computation bas…