vectara/hallucination-leaderboard
Leaderboard Comparing LLM Performance at Producing Hallucinations when Summarizing Short Documents (⭐ 3113)
Leveraging NTPs for Efficient Hallucination Detection in VLMs
Hallucinations of vision-language models (VLMs), which are misalignments between visual content and generated text, undermine the reliability of VLMs. One common approach for detecting them employs the same VLM, or a different one, to assess generate...
GPTZero finds 100 new hallucinations in NeurIPS 2025 accepted papers
Points: 937 | Comments: 507 | Author: segmenta
idosal/git-mcp
Put an end to code hallucinations! GitMCP is a free, open-source, remote MCP server for any GitHub project (⭐ 7691)
Schizophrenia - Symptoms and causes - Mayo Clinic
Oct 16, 2024 · Hallucinations can occur with any of the senses, but hearing voices is most common. Disorganized speech and thinking. Disorganized speech causes disorganized thinking. It can be hard …
Learning Under Laws: A Constraint-Projected Neural PDE Solver that Eliminates Hallucinatio…
Neural networks can approximate solutions to partial differential equations, but they often break the very laws they are meant to model-creating mass from nowhere, drifting shocks, or violating conservation and entropy. We address this by training wi...
Plan-X: Instruct Video Generation via Semantic Planning
Diffusion Transformers have demonstrated remarkable capabilities in visual synthesis, yet they often struggle with high-level semantic reasoning and long-horizon planning. This limitation frequently leads to visual hallucinations and mis-alignments w...
Red Teaming for Large Language Models At Scale: Tackling Hallucinations on Mathematics Tas…
We consider the problem of red teaming LLMs on elementary calculations and algebraic tasks to evaluate how various prompting techniques affect the quality of outputs. We present a framework to procedurally generate numerical questions and puzzles, an...
Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders
The ability to accurately interpret complex visual information is a crucial topic of multimodal large language models (MLLMs). Recent work indicates that enhanced visual perception significantly reduces hallucinations and improves performance on reso...
Corrective Retrieval Augmented Generation
Large language models (LLMs) inevitably exhibit hallucinations since the accuracy of generated texts cannot be secured solely by the parametric knowledge they encapsulate. Although retrieval-augmented generation (RAG) is a practicable complement to L...
OpenAI admits AI hallucinations are mathematically inevitable, not just engineering flaws
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Stemming Hallucination in Language Models Using a Licensing Oracle
Language models exhibit remarkable natural language generation capabilities but remain prone to hallucinations, generating factually incorrect information despite producing syntactically coherent responses. This study introduces the Licensing Oracle,...
Over fifty new hallucinations in ICLR 2026 submissions
Points: 507 | Comments: 422 | Author: puttycat
Antipsychotic - Wikipedia
as neuroleptics and major tranquilizers, are a class of psychotropic medication primarily used to manage psychosis (including delusions, hallucinations
Hallucinations and Truth: A Comprehensive Accuracy Evaluation of RAG, LoRA and DoRA
Recent advancements in Generative AI have significantly improved the efficiency and adaptability of natural language processing (NLP) systems, particularly through Retrieval-Augmented Generation (RAG), Low-Rank Adaptation (LoRA), and Weight-Decompose...
Lynx: An Open Source Hallucination Evaluation Model
Retrieval Augmented Generation (RAG) techniques aim to mitigate hallucinations in Large Language Models (LLMs). However, LLMs can still produce information that is unsupported or contradictory to the retrieved contexts. We introduce LYNX, a SOTA hall...
Psychedelic art - Wikipedia
Psychedelic art (also known as psychedelia) is art, graphics or visual displays related to or inspired by psychedelic experiences and hallucinations known
NoLan: Mitigating Object Hallucinations in Large Vision-Language Models via Dynamic Suppre…
Object hallucination is a critical issue in Large Vision-Language Models (LVLMs), where outputs include objects that do not appear in the input image. A natural question arises from this phenomenon: Which component of the LVLM pipeline primarily cont...