국가법령정보MCP | 법제처 41개 API → 16개 MCP 도구. 법령·판례·조례·조약을 AI로 검색·조회·분석 + LLM 환각 방지 인용 검증 | 41 Korean legal APIs → 16 MCP tools with AI citation hallucination guard

UQLM: Uncertainty Quantification for Language Models, is a Python package for UQ-based LLM hallucination detection

[NeurIPS 2025] SECA: Semantically Equivalent and Coherent Attacks for Eliciting LLM Hallucinations

RAG Hallucination Detecting By LRP.

(개요) 국가법령정보센터와 알리오의 공공기관 내부규정을 검색·비교·분석하는 MCP. (도구) 법제처 87 + ALIO 공공기관 규정 23 = 110개 MCP 도구. (데이터) 1,600 법률, 10,000 행정규칙, 수만건 판례, 344개 공공기관 35,000 내부규정.

CRoPS (TMLR)

Novel Hallucination detection method

Build your own open-source REST API endpoint to detect hallucination in LLM generated responses.

Research paper on how agentic debate pipelines can be constructed to reduce hallucinations in LLMs with open-source and commercial models

Semi-supervised pipeline to detect LLM hallucinations. Uses Mistral-7B for zero-shot pseudo-labeling and DeBERTa for efficient classification.

Lecture-RAG is a grounding-aware Video-RAG framework that reduces hallucinations and supports algorithmic reasoning in educational, Slide based, Black board tutorial videos.

This repository contains the codebase for the PoC of LLM package hallucination and associated vulnerabilties.

UQLM: Uncertainty Quantification for Language Models, is a Python package for UQ-based LLM hallucination detection

Source code for the paper: A Hallucination Mitigation Scheme in Security Policy Generation with Large Language Models

Automated detection, visualization and suppression of hallucination-associated neurons in open-source LLMs — LLM mechanistic interpretability research tool