LLM Digest

Story

arxiv_llm_reliability · Jun 11, 2026 · paper

Source brief

Zero-source LLM Hallucination Detection with Human-like Criteria Probing

arxiv.orgJun 11, 2026
original source linked

In brief

Large language models (LLMs) often hallucinate by generating factually incorrect or unfaithful content, posing significant risks to their safe use. Detecting such hallucinations is particularly challenging under the z...

Feed lens

agenteval

Read the original at arxiv.org →Open in live feed Read that day’s brief

Zero-source LLM Hallucination Detection with Human-like Criteria Probing

Earlier in this thread 4 items

Operation-Guided Progressive Human-to-AI Text Transformation Benchmark for Multi-Granularity AI-Text Detection

Skill-RM: Unifying Heterogeneous Evaluation Criteria via Agent Skill

Google Expands SynthID Adoption for AI Watermarking, Previews Content Detection API

Lumberjack: Better Differentially Private Random Forests through Heavy Hitter Detection in Trees