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Hallucination

Papers

Showing 851875 of 1816 papers

TitleStatusHype
Inertial Hallucinations -- When Wearable Inertial Devices Start Seeing Things0
LLMAuditor: A Framework for Auditing Large Language Models Using Human-in-the-Loop0
Incremental Scene Synthesis0
Improving Whisper's Recognition Performance for Under-Represented Language Kazakh Leveraging Unpaired Speech and Text0
Detection and Mitigation of Hallucination in Large Reasoning Models: A Mechanistic Perspective0
An Analysis of Decoding Methods for LLM-based Agents for Faithful Multi-Hop Question Answering0
Improving the Reliability of LLMs: Combining CoT, RAG, Self-Consistency, and Self-Verification0
Improving the Reliability of Large Language Models by Leveraging Uncertainty-Aware In-Context Learning0
Detecting LLM Hallucination Through Layer-wise Information Deficiency: Analysis of Unanswerable Questions and Ambiguous Prompts0
Information-Theoretic Text Hallucination Reduction for Video-grounded Dialogue0
Ingest-And-Ground: Dispelling Hallucinations from Continually-Pretrained LLMs with RAG0
Improving Scientific Hypothesis Generation with Knowledge Grounded Large Language Models0
Detecting LLM Fact-conflicting Hallucinations Enhanced by Temporal-logic-based Reasoning0
Improving RNN-Transducers with Acoustic LookAhead0
Improving Reliability and Explainability of Medical Question Answering through Atomic Fact Checking in Retrieval-Augmented LLMs0
Instance-level Facial Attributes Transfer with Geometry-Aware Flow0
Detecting Hallucinations in Virtual Histology with Neural Precursors0
Long-Form Speech Translation through Segmentation with Finite-State Decoding Constraints on Large Language Models0
Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection0
Detecting Hallucination and Coverage Errors in Retrieval Augmented Generation for Controversial Topics0
Benchmarking Retrieval-Augmented Large Language Models in Biomedical NLP: Application, Robustness, and Self-Awareness0
Internal and External Knowledge Interactive Refinement Framework for Knowledge-Intensive Question Answering0
Addressing Image Hallucination in Text-to-Image Generation through Factual Image Retrieval0
Interpretable Zero-shot Learning with Infinite Class Concepts0
Improving Factuality with Explicit Working Memory0
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