6 citations · 15 across the 7 of their papers we have counts for
7 papers
Keystroke Dynamics Against Academic Dishonesty in the Age of LLMs
Debnath Kundu, Atharva Mehta, Rajesh Kumar +4
The transition to online examinations and assignments raises significant concerns about academic integrity. Traditional plagiarism detection systems often struggle to identify inst…
Context-Enhanced Language Models for Generating Multi-Paper Citations
Avinash Anand, Kritarth Prasad, Ujjwal Goel +4
Citation text plays a pivotal role in elucidating the connection between scientific documents, demanding an in-depth comprehension of the cited paper. Constructing citations is oft…
RanLayNet: A Dataset for Document Layout Detection used for Domain Adaptation and Generalization
Avinash Anand, Raj Jaiswal, Mohit Gupta +7
Large ground-truth datasets and recent advances in deep learning techniques have been useful for layout detection. However, because of the restricted layout diversity of these data…
KG-CTG: Citation Generation through Knowledge Graph-guided Large Language Models
Avinash Anand, Mohit Gupta, Kritarth Prasad +4
Citation Text Generation (CTG) is a task in natural language processing (NLP) that aims to produce text that accurately cites or references a cited document within a source documen…
MM-PhyQA: Multimodal Physics Question-Answering With Multi-Image CoT Prompting
Avinash Anand, Janak Kapuriya, Apoorv Singh +5
While Large Language Models (LLMs) can achieve human-level performance in various tasks, they continue to face challenges when it comes to effectively tackling multi-step physics r…
MM-PhyRLHF: Reinforcement Learning Framework for Multimodal Physics Question-Answering
Janak Kapuriya, Chhavi Kirtani, Apoorv Singh +7
Recent advancements in LLMs have shown their significant potential in tasks like text summarization and generation. Yet, they often encounter difficulty while solving complex physi…
Certified Zeroth-order Black-Box Defense with Robust UNet Denoiser
Astha Verma, A V Subramanyam, Siddhesh Bangar +3
Certified defense methods against adversarial perturbations have been recently investigated in the black-box setting with a zeroth-order (ZO) perspective. However, these methods su…