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Showing 1030-1050 of 2,684 articles

Query pipeline optimization for cancer patient question answering systems

Retrieval-augmented generation (RAG) mitigates hallucination in Large Language Models (LLMs) by us...

Dec 2024 http://arxiv.org/abs/2412.14751v1

Token Preference Optimization with Self-Calibrated Visual-Anchored Rewards for Hallucination Mitigation

Direct Preference Optimization (DPO) has been demonstrated to be highly effective in mitigating ha...

Dec 2024 http://arxiv.org/abs/2412.14487v3

A MapReduce Approach to Effectively Utilize Long Context Information in Retrieval Augmented Language Models

While holding great promise for improving and facilitating healthcare, large language models (LLMs...

Dec 2024 http://arxiv.org/abs/2412.15271v1

ReXTrust: A Model for Fine-Grained Hallucination Detection in AI-Generated Radiology Reports

The increasing adoption of AI-generated radiology reports necessitates robust methods for detectin...

Dec 2024 http://arxiv.org/abs/2412.15264v3

RAC3: Retrieval-Augmented Corner Case Comprehension for Autonomous Driving with Vision-Language Models

Understanding and addressing corner cases is essential for ensuring the safety and reliability of ...

Dec 2024 http://arxiv.org/abs/2412.11050v2

Hallucination Elimination and Semantic Enhancement Framework for Vision-Language Models in Traffic Scenarios

Large vision-language models (LVLMs) have demonstrated remarkable capabilities in multimodal under...

Dec 2024 http://arxiv.org/abs/2412.07518v1

Delve into Visual Contrastive Decoding for Hallucination Mitigation of Large Vision-Language Models

While large vision-language models (LVLMs) have shown impressive capabilities in generating plausi...

Dec 2024 http://arxiv.org/abs/2412.06775v1

Advancements in Machine Learning and Deep Learning for Early Detection and Management of Mental Health Disorder

For the early identification, diagnosis, and treatment of mental health illnesses, the integration...

Dec 2024 http://arxiv.org/abs/2412.06147v1

Evaluating Hallucination in Text-to-Image Diffusion Models with Scene-Graph based Question-Answering Agent

Contemporary Text-to-Image (T2I) models frequently depend on qualitative human evaluations to asse...

Dec 2024 http://arxiv.org/abs/2412.05722v1

TOBUGraph: Knowledge Graph-Based Retrieval for Enhanced LLM Performance Beyond RAG

Retrieval-Augmented Generation (RAG) is one of the leading and most widely used techniques for enh...

Dec 2024 http://arxiv.org/abs/2412.05447v2

Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

We introduce InternVL 2.5, an advanced multimodal large language model (MLLM) series that builds u...

Dec 2024 http://arxiv.org/abs/2412.05271v4

Florence-VL: Enhancing Vision-Language Models with Generative Vision Encoder and Depth-Breadth Fusion

We present Florence-VL, a new family of multimodal large language models (MLLMs) with enriched vis...

Dec 2024 http://arxiv.org/abs/2412.04424v1

Deep priors for satellite image restoration with accurate uncertainties

Satellite optical images, upon their on-ground receipt, offer a distorted view of the observed sce...

Dec 2024 http://arxiv.org/abs/2412.04130v1

Who Brings the Frisbee: Probing Hidden Hallucination Factors in Large Vision-Language Model via Causality Analysis

Recent advancements in large vision-language models (LVLM) have significantly enhanced their abili...

Dec 2024 http://arxiv.org/abs/2412.02946v1

An Evolutionary Large Language Model for Hallucination Mitigation

The emergence of LLMs, like ChatGPT and Gemini, has marked the modern era of artificial intelligen...

Dec 2024 http://arxiv.org/abs/2412.02790v1

CC-OCR: A Comprehensive and Challenging OCR Benchmark for Evaluating Large Multimodal Models in Literacy

Large Multimodal Models (LMMs) have demonstrated impressive performance in recognizing document im...

Dec 2024 http://arxiv.org/abs/2412.02210v3

AI Benchmarks and Datasets for LLM Evaluation

LLMs demand significant computational resources for both pre-training and fine-tuning, requiring d...

Dec 2024 http://arxiv.org/abs/2412.01020v1

Automating Feedback Analysis in Surgical Training: Detection, Categorization, and Assessment

This work introduces the first framework for reconstructing surgical dialogue from unstructured re...

Dec 2024 http://arxiv.org/abs/2412.00760v1

A multimodal vision transformer for interpretable fusion of functional and structural neuroimaging data.

Multimodal neuroimaging is an emerging field that leverages multiple sources of information to diagn...

Dec 2024 39600159

Layer Importance and Hallucination Analysis in Large Language Models via Enhanced Activation Variance-Sparsity

Evaluating the importance of different layers in large language models (LLMs) is crucial for optim...

Nov 2024 http://arxiv.org/abs/2411.10069v1

Leveraging Vision-Language Models for Manufacturing Feature Recognition in CAD Designs

Automatic feature recognition (AFR) is essential for transforming design knowledge into actionable...

Nov 2024 http://arxiv.org/abs/2411.02810v1