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Hallucination

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Showing 551–575 of 1816 papers

TitleStatusHype
A Novel Approach to Eliminating Hallucinations in Large Language Model-Assisted Causal Discovery—0
Chain-of-Programming (CoP) : Empowering Large Language Models for Geospatial Code Generation—0
ViBe: A Text-to-Video Benchmark for Evaluating Hallucination in Large Multimodal Models—0
Thinking Before Looking: Improving Multimodal LLM Reasoning via Mitigating Visual HallucinationCode1
Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs—0
Mitigating Hallucination in Multimodal Large Language Model via Hallucination-targeted Direct Preference Optimization—0
Layer Importance and Hallucination Analysis in Large Language Models via Enhanced Activation Variance-Sparsity—0
DAHL: Domain-specific Automated Hallucination Evaluation of Long-Form Text through a Benchmark Dataset in BiomedicineCode0
On the Limits of Language Generation: Trade-Offs Between Hallucination and Mode Collapse—0
LLM Hallucination Reasoning with Zero-shot Knowledge Test—0
Bridging the Visual Gap: Fine-Tuning Multimodal Models with Knowledge-Adapted CaptionsCode0
Confidence-aware Denoised Fine-tuning of Off-the-shelf Models for Certified RobustnessCode0
SHARP: Unlocking Interactive Hallucination via Stance Transfer in Role-Playing Agents—0
DecoPrompt : Decoding Prompts Reduces Hallucinations when Large Language Models Meet False PremisesCode0
Verbosity Veracity: Demystify Verbosity Compensation Behavior of Large Language ModelsCode0
Trustful LLMs: Customizing and Grounding Text Generation with Knowledge Bases and Dual Decoders—0
Invar-RAG: Invariant LLM-aligned Retrieval for Better Generation—0
AssistRAG: Boosting the Potential of Large Language Models with an Intelligent Information AssistantCode1
Evaluating the Accuracy of Chatbots in Financial Literature—0
Prompt-Efficient Fine-Tuning for GPT-like Deep Models to Reduce Hallucination and to Improve Reproducibility in Scientific Text Generation Using Stochastic Optimisation Techniques—0
Mitigating Hallucination with ZeroG: An Advanced Knowledge Management Engine—0
Seeing Through the Fog: A Cost-Effectiveness Analysis of Hallucination Detection Systems—0
AMSnet-KG: A Netlist Dataset for LLM-based AMS Circuit Auto-Design Using Knowledge Graph RAG—0
LLM-R: A Framework for Domain-Adaptive Maintenance Scheme Generation Combining Hierarchical Agents and RAG—0
Prompt-Guided Internal States for Hallucination Detection of Large Language Models—0
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