Most Recent Additions*
American Sign Language Recognition and Analysis Using Deep Learning
Saurabh Kumar Soni
A Study of Prompt Tuning on Small Language Models(SLMs): A Controlled Benchmark and a Lightweight Instance-Aware Method
Narkadamilli Sahith
Multi-Frequency Associative Memory for Continual Graph Learning through Nested Optimization
Shuvam Kundu
Design and Evaluation of a Code-Switching-Aware Multilingual Conversational AI System using Advanced RAG Architectures
Ashutosh Juvale
Reproducing and Analyzing the “Lost in the Middle” and “The Power of Noise” Phenomenon in Retrieval-Augmented Generation
Kousik Samanta
Bias Before Generation: Attention-based Preemptive Fairness Signals in Large Language Models
Aniket Das
Multi Trajectory Guided Model Inversion Attacks
Indrajit Nandi
Glacial Lakes Segmentation Using Multispectral Remote Sensing Data and Deep Learning Models
Debankan Das
From Vigilance to Veracity: Hallucination Detection, Mitigation, and Safety Enhancement in Large Language Models
Sharanya Dasgupta
Causal Explanations in Deep Learning Systems
Dhruv Vansraj Rathore
C*-Extreme Quantum Instruments; Completion and Disintegration of Completely Positive Maps
Arghya Chongdar
Explaining Query Expansion Algorithms
Aditya Dutta
*Updated as of 06/27/26.