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Hallucination

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Showing 1551–1600 of 1816 papers

TitleStatusHype
HOB-CNN: Hallucination of Occluded Branches with a Convolutional Neural Network for 2D Fruit Trees—0
HOIGen-1M: A Large-scale Dataset for Human-Object Interaction Video Generation—0
Honest AI: Fine-Tuning "Small" Language Models to Say "I Don't Know", and Reducing Hallucination in RAG—0
How to Build an AI Tutor That Can Adapt to Any Course Using Knowledge Graph-Enhanced Retrieval-Augmented Generation (KG-RAG)—0
How to Detect and Defeat Molecular Mirage: A Metric-Driven Benchmark for Hallucination in LLM-based Molecular Comprehension—0
How to Explore with Belief: State Entropy Maximization in POMDPs—0
H-POPE: Hierarchical Polling-based Probing Evaluation of Hallucinations in Large Vision-Language Models—0
Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction—0
Hydra: An Agentic Reasoning Approach for Enhancing Adversarial Robustness and Mitigating Hallucinations in Vision-Language Models—0
Hyperbolic Learning with Synthetic Captions for Open-World Detection—0
ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models—0
Identity-Aware Deep Face Hallucination via Adversarial Face Verification—0
Identity-Preserving Pose-Robust Face Hallucination Through Face Subspace Prior—0
IERL: Interpretable Ensemble Representation Learning -- Combining CrowdSourced Knowledge and Distributed Semantic Representations—0
IllusionBench: A Large-scale and Comprehensive Benchmark for Visual Illusion Understanding in Vision-Language Models—0
Importing Phantoms: Measuring LLM Package Hallucination Vulnerabilities—0
(Im)possibility of Automated Hallucination Detection in Large Language Models—0
Improbable Bigrams Expose Vulnerabilities of Incomplete Tokens in Byte-Level Tokenizers—0
Improved Beam Search for Hallucination Mitigation in Abstractive Summarization—0
Improved Single Camera BEV Perception Using Multi-Camera Training—0
Improving Assessment of Tutoring Practices using Retrieval-Augmented Generation—0
Improving Factuality with Explicit Working Memory—0
Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection—0
Long-Form Speech Translation through Segmentation with Finite-State Decoding Constraints on Large Language Models—0
Improving Reliability and Explainability of Medical Question Answering through Atomic Fact Checking in Retrieval-Augmented LLMs—0
Improving RNN-Transducers with Acoustic LookAhead—0
Improving Scientific Hypothesis Generation with Knowledge Grounded Large Language Models—0
Improving the Reliability of Large Language Models by Leveraging Uncertainty-Aware In-Context Learning—0
Improving the Reliability of LLMs: Combining CoT, RAG, Self-Consistency, and Self-Verification—0
Improving Whisper's Recognition Performance for Under-Represented Language Kazakh Leveraging Unpaired Speech and Text—0
Incremental Scene Synthesis—0
Inertial Hallucinations -- When Wearable Inertial Devices Start Seeing Things—0
Information-Theoretic Text Hallucination Reduction for Video-grounded Dialogue—0
Ingest-And-Ground: Dispelling Hallucinations from Continually-Pretrained LLMs with RAG—0
Insights from Verification: Training a Verilog Generation LLM with Reinforcement Learning with Testbench Feedback—0
Insights into Classifying and Mitigating LLMs' Hallucinations—0
Instance-level Facial Attributes Transfer with Geometry-Aware Flow—0
Instruction-Oriented Preference Alignment for Enhancing Multi-Modal Comprehension Capability of MLLMs—0
Internal and External Knowledge Interactive Refinement Framework for Knowledge-Intensive Question Answering—0
InternalInspector I^2: Robust Confidence Estimation in LLMs through Internal States—0
Interpretable Zero-shot Learning with Infinite Class Concepts—0
Interpreting and Mitigating Hallucination in MLLMs through Multi-agent Debate—0
Invar-RAG: Invariant LLM-aligned Retrieval for Better Generation—0
Investigating and Addressing Hallucinations of LLMs in Tasks Involving Negation—0
Investigating the Role of Prompting and External Tools in Hallucination Rates of Large Language Models—0
IPL: Leveraging Multimodal Large Language Models for Intelligent Product Listing—0
Is LLMs Hallucination Usable? LLM-based Negative Reasoning for Fake News Detection—0
Is Your Text-to-Image Model Robust to Caption Noise?—0
Iter-AHMCL: Alleviate Hallucination for Large Language Model via Iterative Model-level Contrastive Learning—0
It's About Time: Incorporating Temporality in Retrieval Augmented Language Models—0
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