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Hallucination

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Showing 951–1000 of 1816 papers

TitleStatusHype
Conditional Hallucinations for Image Compression—0
Investigating the Role of Prompting and External Tools in Hallucination Rates of Large Language Models—0
MaCTG: Multi-Agent Collaborative Thought Graph for Automatic Programming—0
AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language Models—0
Multilingual Hallucination Gaps in Large Language Models—0
Leveraging the Domain Adaptation of Retrieval Augmented Generation Models for Question Answering and Reducing Hallucination—0
GeoCode-GPT: A Large Language Model for Geospatial Code Generation Tasks—0
IPL: Leveraging Multimodal Large Language Models for Intelligent Product Listing—0
SG-FSM: A Self-Guiding Zero-Shot Prompting Paradigm for Multi-Hop Question Answering Based on Finite State Machine—0
Fine-Tuning Large Language Models to Appropriately Abstain with Semantic Entropy—0
ProveRAG: Provenance-Driven Vulnerability Analysis with Automated Retrieval-Augmented LLMsCode0
Privacy-hardened and hallucination-resistant synthetic data generation with logic-solvers—0
Navigating Noisy Feedback: Enhancing Reinforcement Learning with Error-Prone Language ModelsCode0
Do Robot Snakes Dream like Electric Sheep? Investigating the Effects of Architectural Inductive Biases on Hallucination—0
Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding—0
Towards a Reliable Offline Personal AI Assistant for Long Duration Spaceflight—0
NetSafe: Exploring the Topological Safety of Multi-agent Networks—0
Large language models enabled multiagent ensemble method for efficient EHR data labeling—0
Learning to Generate and Evaluate Fact-checking Explanations with Transformers—0
ToW: Thoughts of Words Improve Reasoning in Large Language ModelsCode0
A Survey of Hallucination in Large Visual Language Models—0
Hallucination Detox: Sensitivity Dropout (SenD) for Large Language Model Training—0
Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models—0
Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective for Molecular Property PredictionCode0
ELOQ: Resources for Enhancing LLM Detection of Out-of-Scope QuestionsCode0
Good Parenting is all you need -- Multi-agentic LLM Hallucination Mitigation—0
MCQG-SRefine: Multiple Choice Question Generation and Evaluation with Iterative Self-Critique, Correction, and Comparison FeedbackCode0
ETF: An Entity Tracing Framework for Hallucination Detection in Code Summaries—0
From Single to Multi: How LLMs Hallucinate in Multi-Document SummarizationCode0
Utilizing Large Language Models in an iterative paradigm with domain feedback for zero-shot molecule optimization—0
On A Scale From 1 to 5: Quantifying Hallucination in Faithfulness Evaluation—0
What Do LLMs Need to Understand Graphs: A Survey of Parametric Representation of Graphs—0
Iter-AHMCL: Alleviate Hallucination for Large Language Model via Iterative Model-level Contrastive Learning—0
A Claim Decomposition Benchmark for Long-form Answer VerificationCode0
RosePO: Aligning LLM-based Recommenders with Human Values—0
When Not to Answer: Evaluating Prompts on GPT Models for Effective Abstention in Unanswerable Math Word Problems—0
Controlled Automatic Task-Specific Synthetic Data Generation for Hallucination Detection—0
AGENTiGraph: An Interactive Knowledge Graph Platform for LLM-based Chatbots Utilizing Private Data—0
On the Capacity of Citation Generation by Large Language Models—0
ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability—0
LargePiG: Your Large Language Model is Secretly a Pointer Generator—0
Automatically Generating Visual Hallucination Test Cases for Multimodal Large Language ModelsCode0
Magnifier Prompt: Tackling Multimodal Hallucination via Extremely Simple Instructions—0
Have the VLMs Lost Confidence? A Study of Sycophancy in VLMs—0
Can Structured Data Reduce Epistemic Uncertainty?—0
Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning—0
SkillAggregation: Reference-free LLM-Dependent Aggregation—0
Medico: Towards Hallucination Detection and Correction with Multi-source Evidence Fusion—0
Honest AI: Fine-Tuning "Small" Language Models to Say "I Don't Know", and Reducing Hallucination in RAG—0
Collu-Bench: A Benchmark for Predicting Language Model Hallucinations in Code—0
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