1 citations · 1 across the 3 of their papers we have counts for
6 papers
Robust and Fine-Grained Detection of AI Generated Texts
Ram Mohan Rao Kadiyala, Siddartha Pullakhandam, Kanwal Mehreen +11
An ideal detection system for machine generated content is supposed to work well on any generator as many more advanced LLMs come into existence day by day. Existing systems often…
SeQwen at the Financial Misinformation Detection Challenge Task: Sequential Learning for Claim Verification and Explanation Generation in Financial Domains
Jebish Purbey, Siddhant Gupta, Nikhil Manali +4
This paper presents the system description of our entry for the COLING 2025 FMD challenge, focusing on misinformation detection in financial domains. We experimented with a combina…
1-800-SHARED-TASKS @ NLU of Devanagari Script Languages: Detection of Language, Hate Speech, and Targets using LLMs
Jebish Purbey, Siddartha Pullakhandam, Kanwal Mehreen +4
This paper presents a detailed system description of our entry for the CHiPSAL 2025 shared task, focusing on language detection, hate speech identification, and target detection in…
All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages
Ashmal Vayani, Dinura Dissanayake, Hasindri Watawana +66
Existing Large Multimodal Models (LMMs) generally focus on only a few regions and languages. As LMMs continue to improve, it is increasingly important to ensure they understand cul…
Augmenting Legal Decision Support Systems with LLM-based NLI for Analyzing Social Media Evidence
Ram Mohan Rao Kadiyala, Siddartha Pullakhandam, Kanwal Mehreen +2
This paper presents our system description and error analysis of our entry for NLLP 2024 shared task on Legal Natural Language Inference (L-NLI) \citep{hagag2024legallenssharedtask…
Flikcer -- A Chrome Extension to Resolve Online Epileptogenic Visual Content with Real-Time Luminance Frequency Analysis
Jaisal Kothari, Ashay Srivastava
Video content with fast luminance variations, or with spatial patterns of high contrast - referred to as epileptogenic visual content - may induce seizures on viewers with photosen…