1 citations · 1 across the 4 of their papers we have counts for
4 papers
Stochastic CHAOS: Why Deterministic Inference Kills, and Distributional Variability Is the Heartbeat of Artifical Cognition
Tanmay Joshi, Shourya Aggarwal, Anusa Saha +7
Deterministic inference is a comforting ideal in classical software: the same program on the same input should always produce the same output. As large language models move into re…
Zero-Direction Probing: A Linear-Algebraic Framework for Deep Analysis of Large-Language-Model Drift
Amit Pandey
We present Zero-Direction Probing (ZDP), a theory-only framework for detecting model drift from null directions of transformer activations without task labels or output evaluations…
CBTOPE2: An improved method for predicting of conformational B-cell epitopes in an antigen from its primary sequence
Anupma Pandey, Megha, Nishant Kumar +2
In 2009, our group pioneered a novel method CBTOPE for predicting conformational B-cell epitopes in a protein from its amino acid sequence, which received extensive citations from…
TuneGenie: Reasoning-based LLM agents for preferential music generation
Amitesh Pandey, Jafarbek Arifdjanov, Ansh Tiwari
Recently, Large language models (LLMs) have shown great promise across a diversity of tasks, ranging from generating images to reasoning spatially. Considering their remarkable (an…