7 papers
MapRoute++: Surrogate-Guided Semantic Routing for Visual Concept Unlearning
Ashok Urlana, L. D. M. S. Sai Teja, Vivek Hruday Kavuri +1
We present our submission to Task 3 of the Gen 2.0 Challenge on visual concept unlearning. Building on MapRoute, we introduce task-specific training objectives, richer concept r…
Cultivar: A Contrastive and Locale-Oriented Translation Benchmark for Investigating Contamination and Localisation Robustness
Pinzhen Chen, Koel Dutta Chowdhury, Xiaoya Xu +20
Multilingual translation benchmarks are typically sourced in English and translated into other languages, treating language pairs as the unit of evaluation---a design that is prone…
Shadow Unlearning: A Neuro-Semantic Approach to Fidelity-Preserving Faceless Forgetting in LLMs
Dinesh Srivasthav P, Ashok Urlana, Rahul Mishra +2
Machine unlearning aims to selectively remove the influence of specific training samples to satisfy privacy regulations such as the GDPR's 'Right to be Forgotten'. However, many ex…
AGIC: Attention-Guided Image Captioning to Improve Caption Relevance
L. D. M. S. Sai Teja, Ashok Urlana, Pruthwik Mishra
Despite significant progress in image captioning, generating accurate and descriptive captions remains a long-standing challenge. In this study, we propose Attention-Guided Image C…
Agent Ideate: A Framework for Product Idea Generation from Patents Using Agentic AI
Gopichand Kanumolu, Ashok Urlana, Charaka Vinayak Kumar +1
Patents contain rich technical knowledge that can inspire innovative product ideas, yet accessing and interpreting this information remains a challenge. This work explores the use…
No LLM is Free From Bias: A Comprehensive Study of Bias Evaluation in Large Language Models
Charaka Vinayak Kumar, Ashok Urlana, Gopichand Kanumolu +2
Advancements in Large Language Models (LLMs) have increased the performance of different natural language understanding as well as generation tasks. Although LLMs have breached the…