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Hallucination

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Showing 1226–1250 of 1816 papers

TitleStatusHype
A Systematic Review of Data-to-Text NLG—0
Careless Whisper: Speech-to-Text Hallucination HarmsCode0
Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language ModelsCode4
PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language ModelsCode3
G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question AnsweringCode4
Gemini Goes to Med School: Exploring the Capabilities of Multimodal Large Language Models on Medical Challenge Problems & HallucinationsCode1
GLaM: Fine-Tuning Large Language Models for Domain Knowledge Graph Alignment via Neighborhood Partitioning and Generative Subgraph Encoding—0
ViGoR: Improving Visual Grounding of Large Vision Language Models with Fine-Grained Reward ModelingCode0
ResumeFlow: An LLM-facilitated Pipeline for Personalized Resume Generation and RefinementCode3
Introspective Planning: Aligning Robots' Uncertainty with Inherent Task AmbiguityCode1
An Examination on the Effectiveness of Divide-and-Conquer Prompting in Large Language Models—0
Enhancing Retrieval Processes for Language Generation with Augmented Queries—0
INSIDE: LLMs' Internal States Retain the Power of Hallucination DetectionCode1
Training Language Models to Generate Text with Citations via Fine-grained RewardsCode1
The Instinctive Bias: Spurious Images lead to Illusion in MLLMsCode0
Unified Hallucination Detection for Multimodal Large Language ModelsCode1
Improving Assessment of Tutoring Practices using Retrieval-Augmented Generation—0
Aligner: Efficient Alignment by Learning to Correct—0
LLM-Enhanced Data ManagementCode4
A Closer Look at the Limitations of Instruction Tuning—0
A Survey on Large Language Model Hallucination via a Creativity Perspective—0
CorpusLM: Towards a Unified Language Model on Corpus for Knowledge-Intensive Tasks—0
Skip : A Simple Method to Reduce Hallucination in Large Vision-Language ModelsCode1
PokeLLMon: A Human-Parity Agent for Pokemon Battles with Large Language ModelsCode3
Redefining "Hallucination" in LLMs: Towards a psychology-informed framework for mitigating misinformation—0
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