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Hallucination

Papers

Showing 11261150 of 1816 papers

TitleStatusHype
An Automated Reinforcement Learning Reward Design Framework with Large Language Model for Cooperative Platoon Coordination0
An End-to-End Depth-Based Pipeline for Selfie Image Rectification0
An evaluation of template and ML-based generation of user-readable text from a knowledge graph0
An Evolutionary Large Language Model for Hallucination Mitigation0
An Investigation of Monotonic Transducers for Large-Scale Automatic Speech Recognition0
A Novel Approach to Eliminating Hallucinations in Large Language Model-Assisted Causal Discovery0
Anticipation-free Training for Simultaneous Translation0
A Perspective for Adapting Generalist AI to Specialized Medical AI Applications and Their Challenges0
Applications of Large Language Model Reasoning in Feature Generation0
Applying RLAIF for Code Generation with API-usage in Lightweight LLMs0
A Preliminary Study of o1 in Medicine: Are We Closer to an AI Doctor?0
A RAG-based Question Answering System Proposal for Understanding Islam: MufassirQAS LLM0
A Regret Perspective on Online Selective Generation0
Are LLMs Good Literature Review Writers? Evaluating the Literature Review Writing Ability of Large Language Models0
Are Multimodal Large Language Models Ready for Omnidirectional Spatial Reasoning?0
Are Reasoning Models More Prone to Hallucination?0
A review of faithfulness metrics for hallucination assessment in Large Language Models0
ARGUS: Hallucination and Omission Evaluation in Video-LLMs0
ArxEval: Evaluating Retrieval and Generation in Language Models for Scientific Literature0
ASCD: Attention-Steerable Contrastive Decoding for Reducing Hallucination in MLLM0
A Schema-Guided Reason-while-Retrieve framework for Reasoning on Scene Graphs with Large-Language-Models (LLMs)0
A Simple Recipe towards Reducing Hallucination in Neural Surface Realisation0
Ask-EDA: A Design Assistant Empowered by LLM, Hybrid RAG and Abbreviation De-hallucination0
Aspect-Based Summarization with Self-Aspect Retrieval Enhanced Generation0
Assessing the use of Diffusion models for motion artifact correction in brain MRI0
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