nayakbhupen/Spnda

[JMLR 2026] UQLM: A Python package for LLM hallucination detection using uncertainty quantification

SIRIN is a Python library for detecting and analyzing contextual inconsistencies in systems that use LLMs

Code for COLM 2026 Paper "Reinforcement Learning with Metacognitive Feedback Elicits Faithful Uncertainty Expression in LLMs"

Grade every agent, scraper and model in a claim's chain — provenance, trust scoring and audit evidence for LLM pipelines

Do Large Language Models Know What They Don’t Know?

The Granite Guardian models are designed to detect risks in prompts and responses.

List of papers on hallucination detection in LLMs.