SOTAVerified

Hallucination

Papers

Showing 601625 of 1816 papers

TitleStatusHype
Confidence-aware Denoised Fine-tuning of Off-the-shelf Models for Certified RobustnessCode0
LLMs and Memorization: On Quality and Specificity of Copyright ComplianceCode0
Exploring the Trade-Offs: Quantization Methods, Task Difficulty, and Model Size in Large Language Models From Edge to GiantCode0
Logic Query of Thoughts: Guiding Large Language Models to Answer Complex Logic Queries with Knowledge GraphsCode0
LLM Inference Enhanced by External Knowledge: A SurveyCode0
LLM Hallucinations in Practical Code Generation: Phenomena, Mechanism, and MitigationCode0
LLM Internal States Reveal Hallucination Risk Faced With a QueryCode0
LLM-based Query Expansion Fails for Unfamiliar and Ambiguous QueriesCode0
Linear Correlation in LM's Compositional Generalization and HallucinationCode0
Learning with privileged information via adversarial discriminative modality distillationCode0
A Comparative Study on Language Models for Task-Oriented Dialogue SystemsCode0
Learning to Localize Objects Improves Spatial Reasoning in Visual-LLMsCode0
Fine-tuning Large Language Models for Improving Factuality in Legal Question AnsweringCode0
Leveraging Pretrained Models for Automatic Summarization of Doctor-Patient ConversationsCode0
Learning Conformal Abstention Policies for Adaptive Risk Management in Large Language and Vision-Language ModelsCode0
Localizing and Mitigating Errors in Long-form Question AnsweringCode0
Learning Fine-grained Domain Generalization via Hyperbolic State Space HallucinationCode0
Fine-grained Contract NER using instruction based modelCode0
AIstorian lets AI be a historian: A KG-powered multi-agent system for accurate biography generationCode0
Large Language Models on Wikipedia-Style Survey Generation: an Evaluation in NLP ConceptsCode0
Fidelity-Enriched Contrastive Search: Reconciling the Faithfulness-Diversity Trade-Off in Text GenerationCode0
Language Models Hallucinate, but May Excel at Fact VerificationCode0
Multi-Source Knowledge Pruning for Retrieval-Augmented Generation: A Benchmark and Empirical StudyCode0
Few-shot learning via tensor hallucinationCode0
AILS-NTUA at SemEval-2024 Task 6: Efficient model tuning for hallucination detection and analysisCode0
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