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Hallucination

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Showing 1001–1050 of 1816 papers

TitleStatusHype
UniFa: A unified feature hallucination framework for any-shot object detection—0
Unleashing the potential of prompt engineering for large language models—0
Unmasking Digital Falsehoods: A Comparative Analysis of LLM-Based Misinformation Detection Strategies—0
Unsupervised Compressive Text Summarisation with Reinforcement Learning—0
Unveiling Glitches: A Deep Dive into Image Encoding Bugs within CLIP—0
A Comprehensive Survey of Hallucination in Large Language, Image, Video and Audio Foundation Models—0
UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation—0
Urban Land Cover Classification with Missing Data Modalities Using Deep Convolutional Neural Networks—0
User-Controlled Knowledge Fusion in Large Language Models: Balancing Creativity and Hallucination—0
UserSumBench: A Benchmark Framework for Evaluating User Summarization Approaches—0
Using Mobile Data and Deep Models to Assess Auditory Verbal Hallucinations—0
Utilizing Large Language Models in an iterative paradigm with domain feedback for zero-shot molecule optimization—0
Validating Network Protocol Parsers with Traceable RFC Document Interpretation—0
VALL-T: Decoder-Only Generative Transducer for Robust and Decoding-Controllable Text-to-Speech—0
Valuable Hallucinations: Realizable Non-realistic Propositions—0
Verb Mirage: Unveiling and Assessing Verb Concept Hallucinations in Multimodal Large Language Models—0
Verify when Uncertain: Beyond Self-Consistency in Black Box Hallucination Detection—0
VERITAS: A Unified Approach to Reliability Evaluation—0
ViBe: A Text-to-Video Benchmark for Evaluating Hallucination in Large Multimodal Models—0
VideoCLIP-XL: Advancing Long Description Understanding for Video CLIP Models—0
VideoCoT: A Video Chain-of-Thought Dataset with Active Annotation Tool—0
VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models—0
VidHalluc: Evaluating Temporal Hallucinations in Multimodal Large Language Models for Video Understanding—0
Vietnamese Legal Information Retrieval in Question-Answering System—0
VILA^2: VILA Augmented VILA—0
Virtual Accessory Try-On via Keypoint Hallucination—0
VisAidMath: Benchmarking Visual-Aided Mathematical Reasoning—0
Vision-Amplified Semantic Entropy for Hallucination Detection in Medical Visual Question Answering—0
MaCTG: Multi-Agent Collaborative Thought Graph for Automatic Programming—0
Vision-Flan: Scaling Human-Labeled Tasks in Visual Instruction Tuning—0
Vision-Language Models under Cultural and Inclusive Considerations—0
Vision Transformer with Attention Map Hallucination and FFN Compaction—0
VISTA-LLAMA: Reducing Hallucination in Video Language Models via Equal Distance to Visual Tokens—0
Vista-LLaMA: Reliable Video Narrator via Equal Distance to Visual Tokens—0
Visual Correspondence Hallucination—0
Visual Fact Checker: Enabling High-Fidelity Detailed Caption Generation—0
Visual Hallucination: Definition, Quantification, and Prescriptive Remediations—0
Visual Instruction Bottleneck Tuning—0
VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment—0
VL-GenRM: Enhancing Vision-Language Verification via Vision Experts and Iterative Training—0
VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models—0
VLRewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models—0
Robust Graph Meta-learning for Weakly-supervised Few-shot Node Classification—0
What are Models Thinking about? Understanding Large Language Model Hallucinations "Psychology" through Model Inner State Analysis—0
What does it take to get state of the art in simultaneous speech-to-speech translation?—0
What External Knowledge is Preferred by LLMs? Characterizing and Exploring Chain of Evidence in Imperfect Context—0
What Matters in Memorizing and Recalling Facts? Multifaceted Benchmarks for Knowledge Probing in Language Models—0
When Not to Answer: Evaluating Prompts on GPT Models for Effective Abstention in Unanswerable Math Word Problems—0
When Thinking LLMs Lie: Unveiling the Strategic Deception in Representations of Reasoning Models—0
When to Speak, When to Abstain: Contrastive Decoding with Abstention—0
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