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Hallucination

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Showing 1251–1300 of 1816 papers

TitleStatusHype
HiQA: A Hierarchical Contextual Augmentation RAG for Multi-Documents QA—0
Efficient Non-Parametric Uncertainty Quantification for Black-Box Large Language Models and Decision Planning—0
A Survey on Hallucination in Large Vision-Language ModelsCode2
Instruction Makes a DifferenceCode0
Learning Planning-based Reasoning by Trajectories Collection and Process Reward Synthesizing—0
GUMsley: Evaluating Entity Salience in Summarization for 12 English Genres—0
From Training-Free to Adaptive: Empirical Insights into MLLMs' Understanding of Detection Information—0
MedTSS: transforming abstractive summarization of scientific articles with linguistic analysis and concept reinforcementCode0
When Large Language Models Meet Vector Databases: A SurveyCode3
LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and DistillationCode2
MoE-LLaVA: Mixture of Experts for Large Vision-Language ModelsCode7
Learning to Trust Your Feelings: Leveraging Self-awareness in LLMs for Hallucination Mitigation—0
Face to Cartoon Incremental Super-Resolution using Knowledge Distillation—0
Equipping Language Models with Tool Use Capability for Tabular Data Analysis in Finance—0
A RAG-based Question Answering System Proposal for Understanding Islam: MufassirQAS LLM—0
K-QA: A Real-World Medical Q&A BenchmarkCode1
VALL-T: Decoder-Only Generative Transducer for Robust and Decoding-Controllable Text-to-Speech—0
Fine-grained Contract NER using instruction based modelCode0
It's About Time: Incorporating Temporality in Retrieval Augmented Language Models—0
Symbolic Equation Solving via Reinforcement Learning—0
Towards Trustable Language Models: Investigating Information Quality of Large Language Models—0
How well can a large language model explain business processes as perceived by users?Code1
Hallucination is Inevitable: An Innate Limitation of Large Language Models—0
Knowledge Verification to Nip Hallucination in the BudCode1
On the Audio Hallucinations in Large Audio-Video Language Models—0
Temporal Insight Enhancement: Mitigating Temporal Hallucination in Multimodal Large Language Models—0
BibSonomy Meets ChatLLMs for Publication Management: From Chat to Publication Management: Organizing your related work using BibSonomy & LLMs—0
Hallucination Detection and Hallucination Mitigation: An Investigation—0
Large Language Models are Null-Shot Learners—0
The Pitfalls of Defining Hallucination—0
Dual-View Data Hallucination with Semantic Relation Guidance for Few-Shot Image Recognition—0
Fine-grained Hallucination Detection and Editing for Language Models—0
SH2: Self-Highlighted Hesitation Helps You Decode More TruthfullyCode0
Evidence to Generate (E2G): A Single-agent Two-step Prompting for Context Grounded and Retrieval Augmented Reasoning—0
Hallucination Benchmark in Medical Visual Question AnsweringCode0
AI Hallucinations: A Misnomer Worth Clarifying—0
LightHouse: A Survey of AGI HallucinationCode0
The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language ModelsCode1
DCR-Consistency: Divide-Conquer-Reasoning for Consistency Evaluation and Improvement of Large Language ModelsCode1
Question-Answering Based Summarization of Electronic Health Records using Retrieval Augmented Generation—0
Navigating Uncertainty: Optimizing API Dependency for Hallucination Reduction in Closed-Book Question Answering—0
Hallucinations in Neural Automatic Speech Recognition: Identifying Errors and Hallucinatory Models—0
A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language ModelsCode0
VISTA-LLAMA: Reducing Hallucination in Video Language Models via Equal Distance to Visual Tokens—0
RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language ModelsCode2
Advancing TTP Analysis: Harnessing the Power of Large Language Models with Retrieval Augmented GenerationCode1
Do Androids Know They're Only Dreaming of Electric Sheep?—0
Dynamic In-Context Learning from Nearest Neighbors for Bundle Generation—0
KnowledgeNavigator: Leveraging Large Language Models for Enhanced Reasoning over Knowledge Graph—0
Alleviating Hallucinations of Large Language Models through Induced HallucinationsCode1
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