8 citations · 13 across the 8 of their papers we have counts for
3 papers · 2 filters
Cyber for AI at SemEval-2025 Task 4: Forgotten but Not Lost: The Balancing Act of Selective Unlearning in Large Language Models
Dinesh Srivasthav P, Bala Mallikarjunarao Garlapati
Large Language Models (LLMs) face significant challenges in maintaining privacy, ethics, and compliance, when sensitive or obsolete data must be selectively removed. Retraining the…
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…
HalluCounter: Reference-free LLM Hallucination Detection in the Wild!
Ashok Urlana, Gopichand Kanumolu, Charaka Vinayak Kumar +2
Response consistency-based, reference-free hallucination detection (RFHD) methods do not depend on internal model states, such as generation probabilities or gradients, which Grey-…