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Hallucination

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Showing 976–1000 of 1816 papers

TitleStatusHype
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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