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Benchmarking

Papers

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Showing 2026–2050 of 5548 papers

TitleStatusHype
Better Bill GPT: Comparing Large Language Models against Legal Invoice Reviewers—0
Benchmarking the Spatial Robustness of DNNs via Natural and Adversarial Localized Corruptions—0
Global Rice Multi-Class Segmentation Dataset (RiceSEG): A Comprehensive and Diverse High-Resolution RGB-Annotated Images for the Development and Benchmarking of Rice Segmentation Algorithms—0
Benchmarking Federated Machine Unlearning methods for Tabular Data—0
TDBench: Benchmarking Vision-Language Models in Understanding Top-Down ImagesCode0
Zero-shot Benchmarking: A Framework for Flexible and Scalable Automatic Evaluation of Language Models—0
LOCO-EPI: Leave-one-chromosome-out (LOCO) as a benchmarking paradigm for deep learning based prediction of enhancer-promoter interactionsCode0
Can LLMs Grasp Implicit Cultural Values? Benchmarking LLMs' Metacognitive Cultural Intelligence with CQ-BenchCode0
Scaling Up Resonate-and-Fire Networks for Fast Deep LearningCode0
On Benchmarking Code LLMs for Android Malware Analysis—0
Automated Factual Benchmarking for In-Car Conversational Systems using Large Language Models—0
Uni-Render: A Unified Accelerator for Real-Time Rendering Across Diverse Neural Renderers—0
Towards Benchmarking and Assessing the Safety and Robustness of Autonomous Driving on Safety-critical Scenarios—0
Benchmarking Systematic Relational Reasoning with Large Language and Reasoning Models—0
Simple Feedfoward Neural Networks are Almost All You Need for Time Series Forecasting—0
RL2Grid: Benchmarking Reinforcement Learning in Power Grid Operations—0
Unsupervised Anomaly Detection in Multivariate Time Series across Heterogeneous DomainsCode0
CodeARC: Benchmarking Reasoning Capabilities of LLM Agents for Inductive Program Synthesis—0
MHTS: Multi-Hop Tree Structure Framework for Generating Difficulty-Controllable QA Datasets for RAG Evaluation—0
Generalization Bias in Large Language Model Summarization of Scientific Research—0
An Advanced Ensemble Deep Learning Framework for Stock Price Prediction Using VAE, Transformer, and LSTM Model—0
LIM: Large Interpolator Model for Dynamic Reconstruction—0
Benchmarking Ultra-Low-Power μNPUs—0
Assessing Foundation Models for Sea Ice Type Segmentation in Sentinel-1 SAR Imagery—0
Why Stop at One Error? Benchmarking LLMs as Data Science Code Debuggers for Multi-Hop and Multi-Bug ErrorsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-4 TurboACC0.56—Unverified