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Hallucination

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Showing 1426–1450 of 1816 papers

TitleStatusHype
A Survey on Large Language Model Hallucination via a Creativity Perspective—0
Efficient Non-Parametric Uncertainty Quantification for Black-Box Large Language Models and Decision Planning—0
Redefining "Hallucination" in LLMs: Towards a psychology-informed framework for mitigating misinformation—0
Instruction Makes a DifferenceCode0
Learning Planning-based Reasoning by Trajectories Collection and Process Reward Synthesizing—0
HiQA: A Hierarchical Contextual Augmentation RAG for Multi-Documents QA—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
Learning to Trust Your Feelings: Leveraging Self-awareness in LLMs for Hallucination Mitigation—0
A RAG-based Question Answering System Proposal for Understanding Islam: MufassirQAS LLM—0
Equipping Language Models with Tool Use Capability for Tabular Data Analysis in Finance—0
Face to Cartoon Incremental Super-Resolution using Knowledge Distillation—0
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
Hallucination is Inevitable: An Innate Limitation of Large Language Models—0
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
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