Zero Day Ending Explained: Who Was Behind the Attack and Why
'Zero Day,' starring Robert De Niro, ends with big reveals. Executive producer Eric Newman breaks down who orchestrated the attack and what caused Mullen's hallucinations.
Using Hallucinations to Bypass GPT4's Filter
Large language models (LLMs) are initially trained on vast amounts of data, then fine-tuned using reinforcement learning from human feedback (RLHF); this also serves to teach the LLM to provide appropriate and safe responses. In this paper, we presen...
The Comforters - Wikipedia
The Comforters is the first novel by Scottish author Muriel Spark. She drew on experiences as a recent convert to Catholicism and having suffered hallucinations
VLM-Auto: VLM-based Autonomous Driving Assistant with Human-like Behavior and Understandin…
Recent research on Large Language Models for autonomous driving shows promise in planning and control. However, high computational demands and hallucinations still challenge accurate trajectory prediction and control signal generation. Deterministic...
Exploring Augmentation and Cognitive Strategies for AI based Synthetic Personae
Large language models (LLMs) hold potential for innovative HCI research, including the creation of synthetic personae. However, their black-box nature and propensity for hallucinations pose challenges. To address these limitations, this position pape...
The Colas of Europe, now with 0% AI Hallucinations
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How and when do you guys ever use Haiku?
Feel like I'm not taking advantage of the speed of Haiku since I'm always relying on Sonnet, Opus and GLM-4.7 to do all my coding. But I'm worried about the hallucinations with Haiku since my project...
Med-VRAgent: A Framework for Medical Visual Reasoning-Enhanced Agents
Visual Language Models (VLMs) achieve promising results in medical reasoning but struggle with hallucinations, vague descriptions, inconsistent logic and poor localization. To address this, we propose a agent framework named Medical Visual Reasoning...
Inteligencia Artificial jurídica y el desafío de la veracidad: análisis de alucinaciones,…
This technical report analyzes the challenge of "hallucinations" (false information) in LLMs applied to law. It examines their causes, manifestations, and the effectiveness of the RAG mitigation strategy, highlighting its limitations and proposing ho...
AILS-NTUA at SemEval-2024 Task 6: Efficient model tuning for hallucination detection and a…
In this paper, we present our team's submissions for SemEval-2024 Task-6 - SHROOM, a Shared-task on Hallucinations and Related Observable Overgeneration Mistakes. The participants were asked to perform binary classification to identify cases of fluen...
Schizoaffective disorder - Symptoms and causes - Mayo Clinic
Jun 5, 2024 · Schizoaffective disorder is a mental health condition that is marked by a mix of schizophrenia symptoms, such as hallucinations and delusions, and mood disorder symptoms, such …
A Unified Hallucination Mitigation Framework for Large Vision-Language Models
Hallucination is a common problem for Large Vision-Language Models (LVLMs) with long generations which is difficult to eradicate. The generation with hallucinations is partially inconsistent with the image content. To mitigate hallucination, current...
Causal-HalBench: Uncovering LVLMs Object Hallucinations Through Causal Intervention
Large Vision-Language Models (LVLMs) often suffer from object hallucination, making erroneous judgments about the presence of objects in images. We propose this primar- ily stems from spurious correlations arising when models strongly associate highl...
When Personalization Misleads: Understanding and Mitigating Hallucinations in Personalized…
Personalized large language models (LLMs) adapt model behavior to individual users to enhance user satisfaction, yet personalization can inadvertently distort factual reasoning. We show that when personalized LLMs face factual queries, there exists a...
How do language models learn facts? Dynamics, curricula and hallucinations
Large language models accumulate vast knowledge during pre-training, yet the dynamics governing this acquisition remain poorly understood. This work investigates the learning dynamics of language models on a synthetic factual recall task, uncovering...
ONLY: One-Layer Intervention Sufficiently Mitigates Hallucinations in Large Vision-Languag…
Recent Large Vision-Language Models (LVLMs) have introduced a new paradigm for understanding and reasoning about image input through textual responses. Although they have achieved remarkable performance across a range of multi-modal tasks, they face...
Pharmacology of Hallucinations
Points: 42 | Comments: 45 | Author: andsoitis
Do LLM hallucination detectors suffer from low-resource effect?
LLMs, while outperforming humans in a wide range of tasks, can still fail in unanticipated ways. We focus on two pervasive failure modes: (i) hallucinations, where models produce incorrect information about the world, and (ii) the low-resource effect...
Ancient Wisdom, Modern Tools: Exploring Retrieval-Augmented LLMs for Ancient Indian Philos…
LLMs have revolutionized the landscape of information retrieval and knowledge dissemination. However, their application in specialized areas is often hindered by factual inaccuracies and hallucinations, especially in long-tail knowledge distributions...
From Loops to Oops: Fallback Behaviors of Language Models Under Uncertainty
Large language models (LLMs) often exhibit undesirable behaviors, such as hallucinations and sequence repetitions. We propose to view these behaviors as fallbacks that models exhibit under epistemic uncertainty, and investigate the connection between...