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Hallucination

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TitleStatusHype
LLM-QE: Improving Query Expansion by Aligning Large Language Models with Ranking PreferencesCode1
LettuceDetect: A Hallucination Detection Framework for RAG ApplicationsCode4
`Generalization is hallucination' through the lens of tensor completions—0
Uncertainty-Aware Fusion: An Ensemble Framework for Mitigating Hallucinations in Large Language Models—0
ZiGong 1.0: A Large Language Model for Financial Credit—0
The Law of Knowledge Overshadowing: Towards Understanding, Predicting, and Preventing LLM Hallucination—0
PIP-KAG: Mitigating Knowledge Conflicts in Knowledge-Augmented Generation via Parametric PruningCode2
The Role of Background Information in Reducing Object Hallucination in Vision-Language Models: Insights from Cutoff API Prompting—0
Hallucination Detection in Large Language Models with Metamorphic Relations—0
Verify when Uncertain: Beyond Self-Consistency in Black Box Hallucination Detection—0
Large Language Models Struggle to Describe the Haystack without Human Help: Human-in-the-loop Evaluation of LLMs—0
MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models—0
SegSub: Evaluating Robustness to Knowledge Conflicts and Hallucinations in Vision-Language ModelsCode0
OpenSearch-SQL: Enhancing Text-to-SQL with Dynamic Few-shot and Consistency Alignment—0
Detecting LLM Fact-conflicting Hallucinations Enhanced by Temporal-logic-based Reasoning—0
REFIND: Retrieval-Augmented Factuality Hallucination Detection in Large Language Models—0
What are Models Thinking about? Understanding Large Language Model Hallucinations "Psychology" through Model Inner State Analysis—0
TreeCut: A Synthetic Unanswerable Math Word Problem Dataset for LLM Hallucination EvaluationCode0
Lost in Transcription, Found in Distribution Shift: Demystifying Hallucination in Speech Foundation Models—0
CutPaste&Find: Efficient Multimodal Hallucination Detector with Visual-aid Knowledge Base—0
R2-KG: General-Purpose Dual-Agent Framework for Reliable Reasoning on Knowledge GraphsCode1
How Much Do LLMs Hallucinate across Languages? On Multilingual Estimation of LLM Hallucination in the WildCode0
Unveiling the Magic of Code Reasoning through Hypothesis Decomposition and AmendmentCode2
Can Your Uncertainty Scores Detect Hallucinated Entity?—0
Smoothing Out Hallucinations: Mitigating LLM Hallucination with Smoothed Knowledge Distillation—0
Valuable Hallucinations: Realizable Non-realistic Propositions—0
A Survey of LLM-based Agents in Medicine: How far are we from Baymax?—0
Automated Hypothesis Validation with Agentic Sequential FalsificationsCode3
Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables—0
DeepSeek on a Trip: Inducing Targeted Visual Hallucinations via Representation Vulnerabilities—0
Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal ReasoningCode0
Hallucination, Monofacts, and Miscalibration: An Empirical InvestigationCode0
Refine Knowledge of Large Language Models via Adaptive Contrastive Learning—0
Hallucination Detection: A Probabilistic Framework Using Embeddings Distance Analysis—0
Knowledge Graph-Guided Retrieval Augmented GenerationCode2
Learning Conformal Abstention Policies for Adaptive Risk Management in Large Language and Vision-Language ModelsCode0
Self-Rationalization in the Wild: A Large Scale Out-of-Distribution Evaluation on NLI-related tasksCode0
VideoRoPE: What Makes for Good Video Rotary Position Embedding?Code3
ChallengeMe: An Adversarial Learning-enabled Text Summarization Framework—0
Linear Correlation in LM's Compositional Generalization and HallucinationCode0
TruthFlow: Truthful LLM Generation via Representation Flow Correction—0
Large Language Models for Multi-Robot Systems: A SurveyCode1
Enhancing Hallucination Detection through Noise Injection—0
The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models via Visual Information SteeringCode2
A Schema-Guided Reason-while-Retrieve framework for Reasoning on Scene Graphs with Large-Language-Models (LLMs)—0
DAMO: Data- and Model-aware Alignment of Multi-modal LLMsCode1
Mitigating Object Hallucinations in Large Vision-Language Models via Attention Calibration—0
Eliciting Language Model Behaviors with Investigator Agents—0
SelfCheckAgent: Zero-Resource Hallucination Detection in Generative Large Language Models—0
MJ-VIDEO: Fine-Grained Benchmarking and Rewarding Video Preferences in Video Generation—0
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