Large Language Models (LLMs) suffer from hallucinations and outdated knowledge due to their reliance on static training data. Retrieval-Augmented Generation (RAG) mitigates these issues by integrating external dynamic information for improved factual...
Dynamic Retrieval-augmented Generation (RAG) has shown great success in mitigating hallucinations in large language models (LLMs) during generation. However, existing dynamic RAG methods face significant limitations in two key aspects: 1) Lack of an...
Recent efforts to address hallucinations in Large Language Models (LLMs) have focused on attributed text generation, which supplements generated texts with citations of supporting sources for post-generation fact-checking and corrections. Yet, these...
Due to the black-box nature of large language models (LLMs) and the realism of their generated content, issues such as hallucinations, bias, unfairness, and copyright infringement have become significant. In this context, sourcing information from mu...
Computer methods in medical devices are frequently imperfect and are known to produce errors in clinical or diagnostic tasks. However, when deep learning and data-based approaches yield output that exhibit errors, the devices are frequently said to h...
Banishing LLM Hallucinations Requires Rethinking Generalization (⭐ 277)
...
Multimodal Large Language Models (MLLMs) frequently suffer from hallucination issues, generating information about objects that are not present in input images during vision-language tasks. These hallucinations particularly undermine model reliabilit...
This work introduces a novel methodology for the automatic detection of hallucinations generated during large language model (LLM) inference. The proposed approach is based on a systematic taxonomy and controlled reproduction of diverse hallucination...
Oct 16, 2024 · This mental condition can lead to hallucinations, delusions, and very disordered thinking and behavior. It can make daily living hard, but it's treatable.
With the development of artificial intelligence, large-scale models have become increasingly intelligent. However, numerous studies indicate that hallucinations within these large models are a bottleneck hindering the development of AI research. In t...
I feel very spooked right now because of what I consider a hallucination and I just want to feel less alone I guess. I was taking a shower and I have a little mirror in there to make sure I get all th...
Attack to induce LLMs within hallucinations (⭐ 164)
...
up hallucination in Wiktionary, the free dictionary. A hallucination is a perception in the absence of a stimulus. Hallucination or Hallucinations may
The detection of hallucinations in multilingual scientific text generated by Large Language Models (LLMs) presents significant challenges for reliable AI systems. This paper describes our submission to the SHROOM-CAP 2025 shared task on scientific ha...
Intervening Anchor Token: Decoding Strategy in Alleviating Hallucinations for MLLMs (⭐ 163)
Lewy body dementia causes a decline in mental abilities that gradually gets worse over time. People with LBD might see things that aren't there, known as visual hallucinations. They also may have …
Leverage hallucinations from Large Language Models (LLMs) for novelty-driven explorations. (⭐ 591)
Leveraging large-scale Text-to-Image (TTI) models have become a common technique for generating exemplar or training dataset in the fields of image synthesis, video editing, 3D reconstruction. However, semantic structural visual hallucinations involv...