3 papers
cs.CL2026
Hallucination Detection via Activations of Open-Weight Proxy Analyzers
Akshita Singh, Prabesh Paudel, Siddhartha Roy
We introduce a proxy-analyzer framework for detecting hallucinations in large language models. Instead of looking inside the generating model, our system reads already-generated te…
cs.CV2025
TTRV: Test-Time Reinforcement Learning for Vision Language Models
Akshit Singh, Shyam Marjit, Wei Lin +7
Existing methods for extracting reward signals in Reinforcement Learning typically rely on labeled data and dedicated training splits, a setup that contrasts with how humans learn…
cs.CV2024
CCNDF: Curvature Constrained Neural Distance Fields from 3D LiDAR Sequences
Akshit Singh, Karan Bhakuni, Rajendra Nagar
Neural distance fields (NDF) have emerged as a powerful tool for addressing challenges in 3D computer vision and graphics downstream problems. While significant progress has been m…