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Hallucination

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Showing 1626–1650 of 1816 papers

TitleStatusHype
Large Language Model with Graph Convolution for Recommendation—0
LargePiG: Your Large Language Model is Secretly a Pointer Generator—0
LatteCLIP: Unsupervised CLIP Fine-Tuning via LMM-Synthetic Texts—0
LawLuo: A Multi-Agent Collaborative Framework for Multi-Round Chinese Legal Consultation—0
Layer Importance and Hallucination Analysis in Large Language Models via Enhanced Activation Variance-Sparsity—0
Learned, uncertainty-driven adaptive acquisition for photon-efficient scanning microscopy—0
Learning Auxiliary Tasks Improves Reference-Free Hallucination Detection in Open-Domain Long-Form Generation—0
Learning GAN-based Foveated Reconstruction to Recover Perceptually Important Image Features—0
Learning Hand Articulations by Hallucinating Heat Distribution—0
Learning Planning-based Reasoning by Trajectories Collection and Process Reward Synthesizing—0
Learning to Generate and Evaluate Fact-checking Explanations with Transformers—0
Learning To Hallucinate Examples From Extrinsic and Intrinsic Supervision—0
Learning to Hallucinate Face Images via Component Generation and Enhancement—0
Learning to Inference Adaptively for Multimodal Large Language Models—0
Learning to Instruct for Visual Instruction Tuning—0
Learning To Memorize Feature Hallucination for One-Shot Image Generation—0
Learning to Trust Your Feelings: Leveraging Self-awareness in LLMs for Hallucination Mitigation—0
Learning Using Privileged Information for Zero-Shot Action Recognition—0
Learning with Instance-Dependent Noisy Labels by Anchor Hallucination and Hard Sample Label Correction—0
Learning With Side Information Through Modality Hallucination—0
Learn to Refuse: Making Large Language Models More Controllable and Reliable through Knowledge Scope Limitation and Refusal Mechanism—0
Legal Rule Induction: Towards Generalizable Principle Discovery from Analogous Judicial Precedents—0
Leveraging LLMs for Legacy Code Modernization: Challenges and Opportunities for LLM-Generated Documentation—0
Leveraging the Domain Adaptation of Retrieval Augmented Generation Models for Question Answering and Reducing Hallucination—0
Leveraging Vision-Language Models for Manufacturing Feature Recognition in CAD Designs—0
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