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Hallucination

Papers

Showing 14011450 of 1816 papers

TitleStatusHype
Vision-Flan: Scaling Human-Labeled Tasks in Visual Instruction Tuning0
Measuring and Reducing LLM Hallucination without Gold-Standard Answers0
Trading off Consistency and Dimensionality of Convex Surrogates for the Mode0
Towards Uncovering How Large Language Model Works: An Explainability Perspective0
LLMs in the Heart of Differential Testing: A Case Study on a Medical Rule Engine0
Comparing Hallucination Detection Metrics for Multilingual Generation0
Using Hallucinations to Bypass GPT4's Filter0
Retrieve Only When It Needs: Adaptive Retrieval Augmentation for Hallucination Mitigation in Large Language Models0
Do LLMs Know about Hallucination? An Empirical Investigation of LLM's Hidden States0
Visually Dehallucinative Instruction Generation: Know What You Don't KnowCode0
Large Language Model with Graph Convolution for Recommendation0
LLMAuditor: A Framework for Auditing Large Language Models Using Human-in-the-Loop0
Visually Dehallucinative Instruction GenerationCode0
A Systematic Review of Data-to-Text NLG0
Mitigating Object Hallucination in Large Vision-Language Models via Classifier-Free Guidance0
Careless Whisper: Speech-to-Text Hallucination HarmsCode0
GLaM: Fine-Tuning Large Language Models for Domain Knowledge Graph Alignment via Neighborhood Partitioning and Generative Subgraph Encoding0
ViGoR: Improving Visual Grounding of Large Vision Language Models with Fine-Grained Reward ModelingCode0
An Examination on the Effectiveness of Divide-and-Conquer Prompting in Large Language Models0
The Instinctive Bias: Spurious Images lead to Illusion in MLLMsCode0
Enhancing Retrieval Processes for Language Generation with Augmented Queries0
Improving Assessment of Tutoring Practices using Retrieval-Augmented Generation0
Aligner: Efficient Alignment by Learning to Correct0
A Closer Look at the Limitations of Instruction Tuning0
CorpusLM: Towards a Unified Language Model on Corpus for Knowledge-Intensive Tasks0
A Survey on Large Language Model Hallucination via a Creativity Perspective0
Efficient Non-Parametric Uncertainty Quantification for Black-Box Large Language Models and Decision Planning0
Redefining "Hallucination" in LLMs: Towards a psychology-informed framework for mitigating misinformation0
Instruction Makes a DifferenceCode0
Learning Planning-based Reasoning by Trajectories Collection and Process Reward Synthesizing0
HiQA: A Hierarchical Contextual Augmentation RAG for Multi-Documents QA0
GUMsley: Evaluating Entity Salience in Summarization for 12 English Genres0
From Training-Free to Adaptive: Empirical Insights into MLLMs' Understanding of Detection Information0
MedTSS: transforming abstractive summarization of scientific articles with linguistic analysis and concept reinforcementCode0
Learning to Trust Your Feelings: Leveraging Self-awareness in LLMs for Hallucination Mitigation0
A RAG-based Question Answering System Proposal for Understanding Islam: MufassirQAS LLM0
Equipping Language Models with Tool Use Capability for Tabular Data Analysis in Finance0
Face to Cartoon Incremental Super-Resolution using Knowledge Distillation0
VALL-T: Decoder-Only Generative Transducer for Robust and Decoding-Controllable Text-to-Speech0
Fine-grained Contract NER using instruction based modelCode0
It's About Time: Incorporating Temporality in Retrieval Augmented Language Models0
Symbolic Equation Solving via Reinforcement Learning0
Towards Trustable Language Models: Investigating Information Quality of Large Language Models0
Hallucination is Inevitable: An Innate Limitation of Large Language Models0
On the Audio Hallucinations in Large Audio-Video Language Models0
Temporal Insight Enhancement: Mitigating Temporal Hallucination in Multimodal Large Language Models0
BibSonomy Meets ChatLLMs for Publication Management: From Chat to Publication Management: Organizing your related work using BibSonomy & LLMs0
Hallucination Detection and Hallucination Mitigation: An Investigation0
Large Language Models are Null-Shot Learners0
The Pitfalls of Defining Hallucination0
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