SOTAVerified

Hallucination

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1051–1075 of 1816 papers

TitleStatusHype
Effectively Enhancing Vision Language Large Models by Prompt Augmentation and Caption UtilizationCode0
Contrastive Learning for Knowledge-Based Question Generation in Large Language Models—0
FIHA: Autonomous Hallucination Evaluation in Vision-Language Models with Davidson Scene Graphs—0
A Multiple-Fill-in-the-Blank Exam Approach for Enhancing Zero-Resource Hallucination Detection in Large Language Models—0
JourneyBench: A Challenging One-Stop Vision-Language Understanding Benchmark of Generated ImagesCode0
LLMs Can Check Their Own Results to Mitigate Hallucinations in Traffic Understanding Tasks—0
Textualized Agent-Style Reasoning for Complex Tasks by Multiple Round LLM Generation—0
THaMES: An End-to-End Tool for Hallucination Mitigation and Evaluation in Large Language ModelsCode0
Zero-resource Hallucination Detection for Text Generation via Graph-based Contextual Knowledge Triples Modeling—0
Depth-based Privileged Information for Boosting 3D Human Pose Estimation on RGB—0
Exploring the Trade-Offs: Quantization Methods, Task Difficulty, and Model Size in Large Language Models From Edge to GiantCode0
Optimizing Resource Consumption in Diffusion Models through Hallucination Early Detection—0
HALO: Hallucination Analysis and Learning Optimization to Empower LLMs with Retrieval-Augmented Context for Guided Clinical Decision MakingCode0
SFR-RAG: Towards Contextually Faithful LLMs—0
Confidence Estimation for LLM-Based Dialogue State TrackingCode0
Explore the Hallucination on Low-level Perception for MLLMs—0
ODE: Open-Set Evaluation of Hallucinations in Multimodal Large Language Models—0
Winning Solution For Meta KDD Cup' 24—0
MEDIC: Towards a Comprehensive Framework for Evaluating LLMs in Clinical Applications—0
Safety challenges of AI in medicine in the era of large language models—0
Mitigating Hallucination in Visual-Language Models via Re-Balancing Contrastive Decoding—0
LLMs Will Always Hallucinate, and We Need to Live With This—0
Generating Faithful and Salient Text from Multimodal DataCode0
Detecting Buggy Contracts via Smart Testing—0
Combining LLMs and Knowledge Graphs to Reduce Hallucinations in Question Answering—0
Show:102550
← PrevPage 43 of 73Next →

No leaderboard results yet.