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Benchmarking

Papers

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Showing 2101–2150 of 5548 papers

TitleStatusHype
VeriContaminated: Assessing LLM-Driven Verilog Coding for Data Contamination—0
Advancing Human-Machine Teaming: Concepts, Challenges, and Applications—0
CapArena: Benchmarking and Analyzing Detailed Image Captioning in the LLM Era—0
Dataset Properties Shape the Success of Neuroimaging-Based Patient Stratification: A Benchmarking Analysis Across Clustering Algorithms—0
Language Models for Automated Classification of Brain MRI Reports and Growth Chart Generation—0
Genicious: Contextual Few-shot Prompting for Insights Discovery—0
Dynamic Obstacle Avoidance with Bounded Rationality Adversarial Reinforcement Learning—0
InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences—0
RESPONSE: Benchmarking the Ability of Language Models to Undertake Commonsense Reasoning in Crisis Situation—0
Challenges and Advancements in Modeling Shock Fronts with Physics-Informed Neural Networks: A Review and Benchmarking Study—0
VERIFY: A Benchmark of Visual Explanation and Reasoning for Investigating Multimodal Reasoning Fidelity—0
LAG-MMLU: Benchmarking Frontier LLM Understanding in Latvian and Giriama—0
A Benchmarking Study of Vision-based Robotic Grasping AlgorithmsCode0
V-STaR: Benchmarking Video-LLMs on Video Spatio-Temporal Reasoning—0
Enhancing Hand Palm Motion Gesture Recognition by Eliminating Reference Frame Bias via Frame-Invariant Similarity Measures—0
Heterogeneous graph neural networks for species distribution modeling—0
DarkBench: Benchmarking Dark Patterns in Large Language Models—0
ExtremeAIGC: Benchmarking LMM Vulnerability to AI-Generated Extremist Content—0
TIME: Temporal-sensitive Multi-dimensional Instruction Tuning and Benchmarking for Video-LLMs—0
MarineGym: A High-Performance Reinforcement Learning Platform for Underwater Robotics—0
CULEMO: Cultural Lenses on Emotion -- Benchmarking LLMs for Cross-Cultural Emotion Understanding—0
SciHorizon: Benchmarking AI-for-Science Readiness from Scientific Data to Large Language Models—0
Integration of nested cross-validation, automated hyperparameter optimization, high-performance computing to reduce and quantify the variance of test performance estimation of deep learning modelsCode0
Ev-Layout: A Large-scale Event-based Multi-modal Dataset for Indoor Layout Estimation and Tracking—0
Comprehensive Benchmarking of Machine Learning Methods for Risk Prediction Modelling from Large-Scale Survival Data: A UK Biobank Study—0
Large Language Models for Outpatient Referral: Problem Definition, Benchmarking and ChallengesCode0
ResBench: Benchmarking LLM-Generated FPGA Designs with Resource Awareness—0
Benchmarking Chinese Medical LLMs: A Medbench-based Analysis of Performance Gaps and Hierarchical Optimization Strategies—0
Skelite: Compact Neural Networks for Efficient Iterative SkeletonizationCode0
Towards Large Language Models that Benefit for All: Benchmarking Group Fairness in Reward Models—0
Is Your Benchmark (Still) Useful? Dynamic Benchmarking for Code Language Models—0
General Scales Unlock AI Evaluation with Explanatory and Predictive Power—0
Beyond Black-Box Benchmarking: Observability, Analytics, and Optimization of Agentic Systems—0
Steerable Pyramid Weighted Loss: Multi-Scale Adaptive Weighting for Semantic Segmentation—0
DynCIM: Dynamic Curriculum for Imbalanced Multimodal LearningCode0
SCoRE: Benchmarking Long-Chain Reasoning in Commonsense ScenariosCode0
Removing Multiple Hybrid Adverse Weather in Video via a Unified Model—0
UrbanVideo-Bench: Benchmarking Vision-Language Models on Embodied Intelligence with Video Data in Urban Spaces—0
Understanding the Limits of Lifelong Knowledge Editing in LLMs—0
Benchmarking AI Models in Software Engineering: A Review, Search Tool, and Enhancement Protocol—0
FinTMMBench: Benchmarking Temporal-Aware Multi-Modal RAG in Finance—0
Benchmarking LLMs in Recommendation Tasks: A Comparative Evaluation with Conventional Recommenders—0
Removing Geometric Bias in One-Class Anomaly Detection with Adaptive Feature PerturbationCode0
Dynamic Benchmarking of Reasoning Capabilities in Code Large Language Models Under Data Contamination—0
InfoSEM: A Deep Generative Model with Informative Priors for Gene Regulatory Network Inference—0
LVLM-Compress-Bench: Benchmarking the Broader Impact of Large Vision-Language Model CompressionCode0
Quantifying the Reasoning Abilities of LLMs on Real-world Clinical CasesCode0
CLDyB: Towards Dynamic Benchmarking for Continual Learning with Pre-trained ModelsCode0
ThrowBench: Benchmarking LLMs by Predicting Runtime ExceptionsCode0
Benchmarking Reasoning Robustness in Large Language Models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-4 TurboACC0.56—Unverified