LLM Hallucination - Edgentiq

Geographic Disparities in AI’s Legal Knowledge: A Study on LLM Hallucinations

Unpacking LLM Hallucinations: How Citation Frequency Shapes Accuracy

Improving LLM Reliability Through Semantic Confidence Rewards

FATHOMS-RAG: A New Benchmark for Evaluating Multimodal RAG Systems

Crafting Dynamic Role-Playing Benchmarks for Language Models

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New Framework Enhances Factual Accuracy in Large Language Models by Suppressing Hallucinations

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Unmasking the Core Triggers of Hallucination in Gemma Language Models

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QueryBandits: A New Strategy to Prevent LLM Hallucinations by Smartly Rewriting Questions

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How Language Models Learn Across Languages: The Role of Unified Representations

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Understanding AI Hallucinations and How Models Can Overcome Them

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Evaluating AI Accuracy in Finance: A New Framework for Detecting Hallucinations

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Taming AI’s Tendency to Fabricate: A Deep Dive into Hallucination in Large Language Models

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HalMit: A New Approach to Detect and Mitigate LLM Hallucinations in AI Agents

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Detecting AI Fabrications: How the ICR Probe Monitors Language Model Behavior

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Geographic Disparities in AI’s Legal Knowledge: A Study on LLM Hallucinations

November 11, 2025

Unpacking LLM Hallucinations: How Citation Frequency Shapes Accuracy

October 31, 2025

Improving LLM Reliability Through Semantic Confidence Rewards

October 29, 2025