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Hallucination

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Showing 1051–1100 of 1816 papers

TitleStatusHype
Lean Copilot: Large Language Models as Copilots for Theorem Proving in LeanCode5
Is There No Such Thing as a Bad Question? H4R: HalluciBot For Ratiocination, Rewriting, Ranking, and Routing—0
Can We Catch the Elephant? A Survey of the Evolvement of Hallucination Evaluation on Natural Language Generation—0
MemLLM: Finetuning LLMs to Use An Explicit Read-Write MemoryCode1
AI-Enhanced Cognitive Behavioral Therapy: Deep Learning and Large Language Models for Extracting Cognitive Pathways from Social Media TextsCode0
Exploring the Transferability of Visual Prompting for Multimodal Large Language ModelsCode1
Fact :Teaching MLLMs with Faithful, Concise and Transferable Rationales—0
Fewer Truncations Improve Language Modeling—0
A computational account of the development and evolution of psychotic symptoms—0
Prescribing the Right Remedy: Mitigating Hallucinations in Large Vision-Language Models via Targeted Instruction Tuning—0
Reasoning on Efficient Knowledge Paths:Knowledge Graph Guides Large Language Model for Domain Question Answering—0
Anatomy of Industrial Scale Multilingual ASR—0
Constructing Benchmarks and Interventions for Combating Hallucinations in LLMsCode1
Benchmarking Llama2, Mistral, Gemma and GPT for Factuality, Toxicity, Bias and Propensity for HallucinationsCode1
Mitigating Hallucination in Abstractive Summarization with Domain-Conditional Mutual InformationCode0
Harnessing GPT-4V(ision) for Insurance: A Preliminary ExplorationCode1
Entropy Guided Extrapolative Decoding to Improve Factuality in Large Language Models—0
Distilling Reasoning Ability from Large Language Models with Adaptive Thinking—0
CuriousLLM: Elevating Multi-Document QA with Reasoning-Infused Knowledge Graph PromptingCode1
Reducing hallucination in structured outputs via Retrieval-Augmented Generation—0
View Selection for 3D Captioning via Diffusion RankingCode3
Learning to Localize Objects Improves Spatial Reasoning in Visual-LLMsCode0
An Audit on the Perspectives and Challenges of Hallucinations in NLP—0
MetaCheckGPT -- A Multi-task Hallucination Detector Using LLM Uncertainty and Meta-models—0
BRAVE: Broadening the visual encoding of vision-language models—0
Tackling Structural Hallucination in Image Translation with Local DiffusionCode1
Characterizing Multimodal Long-form Summarization: A Case Study on Financial ReportsCode0
SmurfCat at SemEval-2024 Task 6: Leveraging Synthetic Data for Hallucination DetectionCode0
Automating Research Synthesis with Domain-Specific Large Language Model Fine-Tuning—0
Hyperbolic Learning with Synthetic Captions for Open-World Detection—0
FGAIF: Aligning Large Vision-Language Models with Fine-grained AI Feedback—0
HaVTR: Improving Video-Text Retrieval Through Augmentation Using Large Foundation Models—0
SLPL SHROOM at SemEval2024 Task 06: A comprehensive study on models ability to detect hallucinationCode0
On the Limitations of Large Language Models (LLMs): False Attribution—0
PoLLMgraph: Unraveling Hallucinations in Large Language Models via State Transition DynamicsCode0
FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping—0
Mitigating LLM Hallucinations via Conformal Abstention—0
SHROOM-INDElab at SemEval-2024 Task 6: Zero- and Few-Shot LLM-Based Classification for Hallucination DetectionCode0
Fakes of Varying Shades: How Warning Affects Human Perception and Engagement Regarding LLM HallucinationsCode0
A Cause-Effect Look at Alleviating Hallucination of Knowledge-grounded Dialogue Generation—0
KnowHalu: Hallucination Detection via Multi-Form Knowledge Based Factual CheckingCode2
Scalable Model Editing via Customized Expert NetworksCode0
ALOHa: A New Measure for Hallucination in Captioning Models—0
Comparative Study of Domain Driven Terms Extraction Using Large Language Models—0
Extracting Norms from Contracts Via ChatGPT: Opportunities and Challenges—0
Hallucination Diversity-Aware Active Learning for Text Summarization—0
AILS-NTUA at SemEval-2024 Task 6: Efficient model tuning for hallucination detection and analysisCode0
Exploring and Evaluating Hallucinations in LLM-Powered Code Generation—0
Enhancing the General Agent Capabilities of Low-Parameter LLMs through Tuning and Multi-Branch ReasoningCode0
On Large Language Models' Hallucination with Regard to Known FactsCode0
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