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Hallucination

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Showing 201–225 of 1816 papers

TitleStatusHype
Hydra: An Agentic Reasoning Approach for Enhancing Adversarial Robustness and Mitigating Hallucinations in Vision-Language Models—0
Multi-Stage Retrieval for Operational Technology Cybersecurity Compliance Using Large Language Models: A Railway Casestudy—0
Analyzing LLMs' Knowledge Boundary Cognition Across Languages Through the Lens of Internal RepresentationsCode1
Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training—0
Why and How LLMs Hallucinate: Connecting the Dots with Subsequence AssociationsCode0
VistaDPO: Video Hierarchical Spatial-Temporal Direct Preference Optimization for Large Video ModelsCode1
Aspect-Based Summarization with Self-Aspect Retrieval Enhanced Generation—0
Generate, but Verify: Reducing Hallucination in Vision-Language Models with Retrospective ResamplingCode2
QLLM: Do We Really Need a Mixing Network for Credit Assignment in Multi-Agent Reinforcement Learning?—0
Naming is framing: How cybersecurity's language problems are repeating in AI governance—0
SemEval-2025 Task 3: Mu-SHROOM, the Multilingual Shared Task on Hallucinations and Related Observable Overgeneration MistakesCode0
Self-alignment of Large Video Language Models with Refined Regularized Preference Optimization—0
Efficient Contrastive Decoding with Probabilistic Hallucination Detection - Mitigating Hallucinations in Large Vision Language Models -—0
Purposefully Induced Psychosis (PIP): Embracing Hallucination as Imagination in Large Language Models—0
Hallucination-Aware Generative Pretrained Transformer for Cooperative Aerial Mobility Control—0
From Misleading Queries to Accurate Answers: A Three-Stage Fine-Tuning Method for LLMs—0
Hallucination Detection in LLMs via Topological Divergence on Attention Graphs—0
The Mirage of Performance Gains: Why Contrastive Decoding Fails to Address Multimodal HallucinationCode1
EmbodiedAgent: A Scalable Hierarchical Approach to Overcome Practical Challenge in Multi-Robot ControlCode1
The Future of MLLM Prompting is Adaptive: A Comprehensive Experimental Evaluation of Prompt Engineering Methods for Robust Multimodal Performance—0
Enhancing Mathematical Reasoning in Large Language Models with Self-Consistency-Based Hallucination Detection—0
DiTSE: High-Fidelity Generative Speech Enhancement via Latent Diffusion Transformers—0
HalluShift: Measuring Distribution Shifts towards Hallucination Detection in LLMsCode0
SynthTRIPs: A Knowledge-Grounded Framework for Benchmark Query Generation for Personalized Tourism Recommenders—0
The Other Side of the Coin: Exploring Fairness in Retrieval-Augmented GenerationCode0
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