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Hallucination

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Showing 551–600 of 1816 papers

TitleStatusHype
A Novel Approach to Eliminating Hallucinations in Large Language Model-Assisted Causal Discovery—0
ViBe: A Text-to-Video Benchmark for Evaluating Hallucination in Large Multimodal Models—0
Chain-of-Programming (CoP) : Empowering Large Language Models for Geospatial Code Generation—0
Thinking Before Looking: Improving Multimodal LLM Reasoning via Mitigating Visual HallucinationCode1
Mitigating Hallucination in Multimodal Large Language Model via Hallucination-targeted Direct Preference Optimization—0
Layer Importance and Hallucination Analysis in Large Language Models via Enhanced Activation Variance-Sparsity—0
Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs—0
DAHL: Domain-specific Automated Hallucination Evaluation of Long-Form Text through a Benchmark Dataset in BiomedicineCode0
LLM Hallucination Reasoning with Zero-shot Knowledge Test—0
On the Limits of Language Generation: Trade-Offs Between Hallucination and Mode Collapse—0
Bridging the Visual Gap: Fine-Tuning Multimodal Models with Knowledge-Adapted CaptionsCode0
Confidence-aware Denoised Fine-tuning of Off-the-shelf Models for Certified RobustnessCode0
SHARP: Unlocking Interactive Hallucination via Stance Transfer in Role-Playing Agents—0
DecoPrompt : Decoding Prompts Reduces Hallucinations when Large Language Models Meet False PremisesCode0
Trustful LLMs: Customizing and Grounding Text Generation with Knowledge Bases and Dual Decoders—0
Verbosity Veracity: Demystify Verbosity Compensation Behavior of Large Language ModelsCode0
Invar-RAG: Invariant LLM-aligned Retrieval for Better Generation—0
AssistRAG: Boosting the Potential of Large Language Models with an Intelligent Information AssistantCode1
Evaluating the Accuracy of Chatbots in Financial Literature—0
Prompt-Efficient Fine-Tuning for GPT-like Deep Models to Reduce Hallucination and to Improve Reproducibility in Scientific Text Generation Using Stochastic Optimisation Techniques—0
Mitigating Hallucination with ZeroG: An Advanced Knowledge Management Engine—0
Seeing Through the Fog: A Cost-Effectiveness Analysis of Hallucination Detection Systems—0
AMSnet-KG: A Netlist Dataset for LLM-based AMS Circuit Auto-Design Using Knowledge Graph RAG—0
Prompt-Guided Internal States for Hallucination Detection of Large Language Models—0
LLM-R: A Framework for Domain-Adaptive Maintenance Scheme Generation Combining Hierarchical Agents and RAG—0
H-POPE: Hierarchical Polling-based Probing Evaluation of Hallucinations in Large Vision-Language Models—0
Fine-Tuning Vision-Language Model for Automated Engineering Drawing Information Extraction—0
Fine-Grained Guidance for Retrievers: Leveraging LLMs' Feedback in Retrieval-Augmented Generation—0
Automated, LLM enabled extraction of synthesis details for reticular materials from scientific literature—0
VERITAS: A Unified Approach to Reliability Evaluation—0
Leveraging Vision-Language Models for Manufacturing Feature Recognition in CAD Designs—0
V-DPO: Mitigating Hallucination in Large Vision Language Models via Vision-Guided Direct Preference OptimizationCode2
Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning AgentCode3
DDFAV: Remote Sensing Large Vision Language Models Dataset and Evaluation BenchmarkCode0
HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG SystemsCode3
CleAR: Robust Context-Guided Generative Lighting Estimation for Mobile Augmented Reality—0
Robust plug-and-play methods for highly accelerated non-Cartesian MRI reconstruction—0
Improving Scientific Hypothesis Generation with Knowledge Grounded Large Language Models—0
Rate, Explain and Cite (REC): Enhanced Explanation and Attribution in Automatic Evaluation by Large Language ModelsCode0
Towards Multi-Source Retrieval-Augmented Generation via Synergizing Reasoning and Preference-Driven Retrieval—0
RadFlag: A Black-Box Hallucination Detection Method for Medical Vision Language Models—0
Improbable Bigrams Expose Vulnerabilities of Incomplete Tokens in Byte-Level Tokenizers—0
Exploring the Knowledge Mismatch Hypothesis: Hallucination Propensity in Small Models Fine-tuned on Data from Larger Models—0
EF-LLM: Energy Forecasting LLM with AI-assisted Automation, Enhanced Sparse Prediction, Hallucination Detection—0
Beyond Ontology in Dialogue State Tracking for Goal-Oriented ChatbotCode0
VisAidMath: Benchmarking Visual-Aided Mathematical Reasoning—0
Unified Triplet-Level Hallucination Evaluation for Large Vision-Language ModelsCode0
Distinguishing Ignorance from Error in LLM HallucinationsCode1
MARCO: Multi-Agent Real-time Chat Orchestration—0
FactBench: A Dynamic Benchmark for In-the-Wild Language Model Factuality Evaluation—0
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