SOTAVerified

Benchmarking

Papers

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Showing 3351–3375 of 5548 papers

TitleStatusHype
MedBench: A Comprehensive, Standardized, and Reliable Benchmarking System for Evaluating Chinese Medical Large Language Models—0
MedBrowseComp: Benchmarking Medical Deep Research and Computer Use—0
Medchain: Bridging the Gap Between LLM Agents and Clinical Practice through Interactive Sequential Benchmarking—0
MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation—0
MedExpQA: Multilingual Benchmarking of Large Language Models for Medical Question Answering—0
MedGPTEval: A Dataset and Benchmark to Evaluate Responses of Large Language Models in Medicine—0
MedGUIDE: Benchmarking Clinical Decision-Making in Large Language Models—0
MediaEval 2018: Predicting Media Memorability Task—0
MedMeshCNN -- Enabling MeshCNN for Medical Surface Models—0
MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding—0
MEETING DELEGATE: Benchmarking LLMs on Attending Meetings on Our Behalf—0
MegaCOIN: Enhancing Medium-Grained Color Perception for Vision-Language Models—0
MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks—0
MELABenchv1: Benchmarking Large Language Models against Smaller Fine-Tuned Models for Low-Resource Maltese NLP—0
MeltpoolNet: Melt pool Characteristic Prediction in Metal Additive Manufacturing Using Machine Learning—0
MERGE -- A Bimodal Audio-Lyrics Dataset for Static Music Emotion Recognition—0
Metaethical Perspectives on 'Benchmarking' AI Ethics—0
Meta learning to classify intent and slot labels with noisy few shot examples—0
Metastatic Cancer Outcome Prediction with Injective Multiple Instance Pooling—0
Methods and open-source toolkit for analyzing and visualizing challenge results—0
Methods and Trends in Detecting Generated Images: A Comprehensive Review—0
Metrics for Benchmarking and Uncertainty Quantification: Quality, Applicability, and a Path to Best Practices for Machine Learning in Chemistry—0
MHQA: A Diverse, Knowledge Intensive Mental Health Question Answering Challenge for Language Models—0
MHTS: Multi-Hop Tree Structure Framework for Generating Difficulty-Controllable QA Datasets for RAG Evaluation—0
Microtask crowdsourcing for disease mention annotation in PubMed abstracts—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-4 TurboACC0.56—Unverified