← Search

Tushar Sandhan

7 accepted papers

2025

CAPE: Context-Aware Personality Evaluation Framework for Large Language Models

EMNLP 2025

Psychometric tests, traditionally used to assess humans, are now being applied to Large Language Models (LLMs) to evaluate their behavioral traits. However, existing studies follow a context-free approach, answering each question in isolation to avoid contextual influence. We term this the Disney Wo

2023

Active Perception System for Enhanced Visual Signal Recovery Using Deep Reinforcement Learning

ICASSP 2023accepted

Deep neural networks have demonstrated excellent object detection and segmentation performance from RGB data. However, these models can only recognize and predict segmentation masks with great accuracy when RGB data have sufficient information about the objects of interest. In this paper, we suggest…

Cited by 0SourceScholar
2023

Graph Based Semantic Ensemble of Riemannian Neural Structured Learning for BCI-EEG Signal Classification

ICASSP 2023accepted

Machine Learning (ML) classifiers have been made more robust in recent years by leveraging the graph structure between the inputs using Neural Structured Learning (NSL). However, researchers have not taken full advantage of it for the Brain-Computer Interface (BCI) classification tasks. While the tr…

Cited by 0SourceScholar
2022

A Novel Multi-Task Learning Approach for Context-Sensitive Compound Type Identification in Sanskrit

COLING 2022main

The phenomenon of compounding is ubiquitous in Sanskrit. It serves for achieving brevity in expressing thoughts, while simultaneously enriching the lexical and structural formation of the language. In this work, we focus on the Sanskrit Compound Type Identification (SaCTI) task, where we consider th…