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Showing 841-861 of 2,684 articles

TARAC: Mitigating Hallucination in LVLMs via Temporal Attention Real-time Accumulative Connection

Large Vision-Language Models have demonstrated remarkable performance across various tasks; howeve...

Apr 2025 http://arxiv.org/abs/2504.04099v1

Can ChatGPT Learn My Life From a Week of First-Person Video?

Motivated by recent improvements in generative AI and wearable camera devices (e.g. smart glasses ...

Apr 2025 http://arxiv.org/abs/2504.03857v1

A Memory-Augmented LLM-Driven Method for Autonomous Merging of 3D Printing Work Orders

With the rapid development of 3D printing, the demand for personalized and customized production o...

Apr 2025 http://arxiv.org/abs/2504.02509v1

HOIGen-1M: A Large-scale Dataset for Human-Object Interaction Video Generation

Text-to-video (T2V) generation has made tremendous progress in generating complicated scenes based...

Mar 2025 http://arxiv.org/abs/2503.23715v1

Real-Time Evaluation Models for RAG: Who Detects Hallucinations Best?

This article surveys Evaluation models to automatically detect hallucinations in Retrieval-Augment...

Mar 2025 http://arxiv.org/abs/2503.21157v3

Mitigating Low-Level Visual Hallucinations Requires Self-Awareness: Database, Model and Training Strategy

The rapid development of multimodal large language models has resulted in remarkable advancements ...

Mar 2025 http://arxiv.org/abs/2503.20673v2

Vision-Amplified Semantic Entropy for Hallucination Detection in Medical Visual Question Answering

Multimodal large language models (MLLMs) have demonstrated significant potential in medical Visual...

Mar 2025 http://arxiv.org/abs/2503.20504v1

GAPO: Learning Preferential Prompt through Generative Adversarial Policy Optimization

Recent advances in large language models have highlighted the critical need for precise control ov...

Mar 2025 http://arxiv.org/abs/2503.20194v1

Bigger But Not Better: Small Neural Language Models Outperform Large Language Models in Detection of Thought Disorder

Disorganized thinking is a key diagnostic indicator of schizophrenia-spectrum disorders. Recently,...

Mar 2025 http://arxiv.org/abs/2503.20103v1

CAFe: Unifying Representation and Generation with Contrastive-Autoregressive Finetuning

The rapid advancement of large vision-language models (LVLMs) has driven significant progress in m...

Mar 2025 http://arxiv.org/abs/2503.19900v1

Exploring Hallucination of Large Multimodal Models in Video Understanding: Benchmark, Analysis and Mitigation

The hallucination of large multimodal models (LMMs), providing responses that appear correct but a...

Mar 2025 http://arxiv.org/abs/2503.19622v1

LRSCLIP: A Vision-Language Foundation Model for Aligning Remote Sensing Image with Longer Text

This study addresses the technical bottlenecks in handling long text and the "hallucination" issue...

Mar 2025 http://arxiv.org/abs/2503.19311v1

good4cir: Generating Detailed Synthetic Captions for Composed Image Retrieval

Composed image retrieval (CIR) enables users to search images using a reference image combined wit...

Mar 2025 http://arxiv.org/abs/2503.17871v1

Judge Anything: MLLM as a Judge Across Any Modality

Evaluating generative foundation models on open-ended multimodal understanding (MMU) and generatio...

Mar 2025 http://arxiv.org/abs/2503.17489v1

ProDehaze: Prompting Diffusion Models Toward Faithful Image Dehazing

Recent approaches using large-scale pretrained diffusion models for image dehazing improve percept...

Mar 2025 http://arxiv.org/abs/2503.17488v1

FactSelfCheck: Fact-Level Black-Box Hallucination Detection for LLMs

Large Language Models (LLMs) frequently generate hallucinated content, posing significant challeng...

Mar 2025 http://arxiv.org/abs/2503.17229v1

REVAL: A Comprehension Evaluation on Reliability and Values of Large Vision-Language Models

The rapid evolution of Large Vision-Language Models (LVLMs) has highlighted the necessity for comp...

Mar 2025 http://arxiv.org/abs/2503.16566v1

ECKGBench: Benchmarking Large Language Models in E-commerce Leveraging Knowledge Graph

Large language models (LLMs) have demonstrated their capabilities across various NLP tasks. Their ...

Mar 2025 http://arxiv.org/abs/2503.15990v1

MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models

Multimodal foundation models (MMFMs) play a crucial role in various applications, including autono...

Mar 2025 http://arxiv.org/abs/2503.14827v1

Enhancing LLM Generation with Knowledge Hypergraph for Evidence-Based Medicine

Evidence-based medicine (EBM) plays a crucial role in the application of large language models (LL...

Mar 2025 http://arxiv.org/abs/2503.16530v1

RAD: Retrieval-Augmented Decision-Making of Meta-Actions with Vision-Language Models in Autonomous Driving

Accurately understanding and deciding high-level meta-actions is essential for ensuring reliable a...

Mar 2025 http://arxiv.org/abs/2503.13861v1