1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CL2026
Judging LLM-as-a-Judge: Concerning Rubric Artifacts in LLM-based Automated Text Generation Evaluation
Anshul Bagaria, Sowmya S Sundaram, Gokul S Krishnan +1
LLM-as-a-Judge pipelines are increasingly used to evaluate AI-generated text, based on the assumption that judgments arise from reasoning over candidate responses with respect to a…
cs.CV2025
INSIGHT: An Interpretable Neural Vision-Language Framework for Reasoning of Generative Artifacts
Anshul Bagaria
The growing realism of AI-generated images produced by recent GAN and diffusion models has intensified concerns over the reliability of visual media. Yet, despite notable progress…
q-bio.PE2025★ 1 cited
AMR-MoEGA: Antimicrobial Resistance Prediction using Mixture of Experts and Genetic Algorithms
Anshul Bagaria
Antimicrobial resistance (AMR) poses a mounting global health crisis, requiring rapid and reliable prediction frameworks that capture its complex evolutionary dynamics. Traditional…