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Benchmarking

Papers

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Showing 876–900 of 5548 papers

TitleStatusHype
On Neural Inertial Classification Networks for Pedestrian Activity Recognition—0
Recent Advances in Large Langauge Model Benchmarks against Data Contamination: From Static to Dynamic EvaluationCode4
Benchmarking Online Object Trackers for Underwater Robot Position Locking Applications—0
VidLBEval: Benchmarking and Mitigating Language Bias in Video-Involved LVLMs—0
BioMaze: Benchmarking and Enhancing Large Language Models for Biological Pathway ReasoningCode1
VisFactor: Benchmarking Fundamental Visual Cognition in Multimodal Large Language ModelsCode0
An Analyst-Inspector Framework for Evaluating Reproducibility of LLMs in Data ScienceCode0
Unmasking Societal Biases in Respiratory Support for ICU Patients through Social Determinants of HealthCode0
Visual-RAG: Benchmarking Text-to-Image Retrieval Augmented Generation for Visual Knowledge Intensive QueriesCode0
MHQA: A Diverse, Knowledge Intensive Mental Health Question Answering Challenge for Language Models—0
Methods and Trends in Detecting Generated Images: A Comprehensive Review—0
Bridging vision language model (VLM) evaluation gaps with a framework for scalable and cost-effective benchmark generation—0
Adversarial Prompt Evaluation: Systematic Benchmarking of Guardrails Against Prompt Input Attacks on LLMsCode1
Benchmarking machine learning for bowel sound pattern classification from tabular features to pretrained modelsCode0
Para-Lane: Multi-Lane Dataset Registering Parallel Scans for Benchmarking Novel View Synthesis—0
TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton OperatorsCode2
Statistical Scenario Modelling and Lookalike Distributions for Multi-Variate AI Risk—0
Probabilistic Robustness in Deep Learning: A Concise yet Comprehensive Guide—0
Benchmarking Multimodal RAG through a Chart-based Document Question-Answering Generation FrameworkCode0
Sentence Smith: Formally Controllable Text Transformation and its Application to Evaluation of Text Embedding Models—0
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks—0
Line Goes Up? Inherent Limitations of Benchmarks for Evaluating Large Language Models—0
Beyond Self-Talk: A Communication-Centric Survey of LLM-Based Multi-Agent Systems—0
FetalCLIP: A Visual-Language Foundation Model for Fetal Ultrasound Image AnalysisCode2
PredictaBoard: Benchmarking LLM Score PredictabilityCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-4 TurboACC0.56—Unverified