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Hallucination

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Showing 1501–1550 of 1816 papers

TitleStatusHype
Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models—0
Enhancing Emergency Decision-making with Knowledge Graphs and Large Language Models—0
Ever: Mitigating Hallucination in Large Language Models through Real-Time Verification and RectificationCode0
Predicting Text Preference Via Structured Comparative Reasoning—0
Insights into Classifying and Mitigating LLMs' Hallucinations—0
GPT-4V(ision) as A Social Media Analysis Engine—0
Investigating Multi-Pivot Ensembling with Massively Multilingual Machine Translation ModelsCode0
Hallucination Augmented Recitations for Language Models—0
Hallucination-minimized Data-to-answer Framework for Financial Decision-makers—0
CBSiMT: Mitigating Hallucination in Simultaneous Machine Translation with Weighted Prefix-to-Prefix Training—0
ChEF: A Comprehensive Evaluation Framework for Standardized Assessment of Multimodal Large Language Models—0
Learn to Refuse: Making Large Language Models More Controllable and Reliable through Knowledge Scope Limitation and Refusal Mechanism—0
Brain-like Flexible Visual Inference by Harnessing Feedback-Feedforward AlignmentCode0
Synthetic Imitation Edit Feedback for Factual Alignment in Clinical SummarizationCode0
N-Critics: Self-Refinement of Large Language Models with Ensemble of Critics—0
Sequence-Level Certainty Reduces Hallucination In Knowledge-Grounded Dialogue Generation—0
Virtual Accessory Try-On via Keypoint Hallucination—0
Critic-Driven Decoding for Mitigating Hallucinations in Data-to-text GenerationCode0
Learned, uncertainty-driven adaptive acquisition for photon-efficient scanning microscopy—0
Correction with Backtracking Reduces Hallucination in SummarizationCode0
Fidelity-Enriched Contrastive Search: Reconciling the Faithfulness-Diversity Trade-Off in Text GenerationCode0
Language Models Hallucinate, but May Excel at Fact VerificationCode0
Unleashing the potential of prompt engineering for large language models—0
Hallucination Detection for Grounded Instruction Generation—0
Chainpoll: A high efficacy method for LLM hallucination detectionCode0
Long-Form Speech Translation through Segmentation with Finite-State Decoding Constraints on Large Language Models—0
MAF: Multi-Aspect Feedback for Improving Reasoning in Large Language ModelsCode0
Know Where to Go: Make LLM a Relevant, Responsible, and Trustworthy Searcher—0
Reliable Academic Conference Question Answering: A Study Based on Large Language ModelCode0
ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks—0
Flow Dynamics Correction for Action Recognition—0
Towards reducing hallucination in extracting information from financial reports using Large Language Models—0
Metric Ensembles For Hallucination Detection—0
Assessing the Reliability of Large Language Model KnowledgeCode0
Configuration Validation with Large Language Models—0
GameGPT: Multi-agent Collaborative Framework for Game Development—0
GraphextQA: A Benchmark for Evaluating Graph-Enhanced Large Language ModelsCode0
A New Benchmark and Reverse Validation Method for Passage-level Hallucination DetectionCode0
Towards Mitigating Hallucination in Large Language Models via Self-Reflection—0
Teaching Language Models to Hallucinate Less with Synthetic Tasks—0
Negative Object Presence Evaluation (NOPE) to Measure Object Hallucination in Vision-Language Models—0
The Troubling Emergence of Hallucination in Large Language Models -- An Extensive Definition, Quantification, and Prescriptive Remediations—0
Improving the Reliability of Large Language Models by Leveraging Uncertainty-Aware In-Context Learning—0
AutoHall: Automated Hallucination Dataset Generation for Large Language Models—0
Self-Specialization: Uncovering Latent Expertise within Large Language Models—0
Neuro Symbolic Reasoning for Planning: Counterexample Guided Inductive Synthesis using Large Language Models and Satisfiability Solving—0
Hallucination Reduction in Long Input Text SummarizationCode0
Augmenting LLMs with Knowledge: A survey on hallucination prevention—0
Aligning Large Multimodal Models with Factually Augmented RLHF—0
Chain-of-Verification Reduces Hallucination in Large Language ModelsCode0
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