Cover Image

AI Competitions and Benchmarks, Practical issues: Proposals, grant money, sponsors, prizes, dissemination, publicity

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Richard, Magali, Blum, Yuna, Guinney, Justin, Stolovitzky, Gustavo, Pavão, Adrien
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

We are not able to identify AI-generated images
by: Pavão, Adrien
Published: (2025)

Benchmarking Temporal Web3 Intelligence: Lessons from the FinSurvival 2025 Challenge
by: Seneviratne, Oshani, et al.
Published: (2026)

AI Competitions and Benchmarks: Dataset Development
by: Egele, Romain, et al.
Published: (2024)

Competitive strategies to use "warm start" algorithms with predictions
by: Srinivas, Vaidehi, et al.
Published: (2024)

Graph Alignment for Benchmarking Graph Neural Networks and Learning Positional Encodings
by: Lagesse, Adrien, et al.
Published: (2025)

A Practical Probabilistic Benchmark for AI Weather Models
by: Brenowitz, Noah D., et al.
Published: (2024)

Human-Level Competitive Pokémon via Scalable Offline Reinforcement Learning with Transformers
by: Grigsby, Jake, et al.
Published: (2025)

An Early-Stage Workflow Proposal for the Generation of Safe and Dependable AI Classifiers
by: Doran, Hans Dermot, et al.
Published: (2024)

BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best Practices
by: Reuel, Anka, et al.
Published: (2024)

Benchmarking and Evaluation of AI Models in Biology: Outcomes and Recommendations from the CZI Virtual Cells Workshop
by: Fahsbender, Elizabeth, et al.
Published: (2025)

Pricing and Competition for Generative AI
by: Mahmood, Rafid
Published: (2024)

DRIVE: Data Curation Best Practices for Reinforcement Learning with Verifiable Reward in Competitive Code Generation
by: Zhu, Speed, et al.
Published: (2025)

Towards impactful challenges: post-challenge paper, benchmarks and other dissemination actions
by: Marot, Antoine, et al.
Published: (2023)

Introducing Milabench: Benchmarking Accelerators for AI
by: Delaunay, Pierre, et al.
Published: (2024)

Calibrating Generative AI to Produce Realistic Essays for Data Augmentation
by: Wolfe, Edward W., et al.
Published: (2026)

Investigating the dissemination of STEM content on social media with computational tools
by: Oshinowo, Oluwamayokun, et al.
Published: (2024)

Benchmarking emergency department triage prediction models with machine learning and large public electronic health records
by: Xie, Feng, et al.
Published: (2021)

ANO : Faster is Better in Noisy Landscape
by: Kegreisz, Adrien
Published: (2025)

Adversarial Graph Neural Network Benchmarks: Towards Practical and Fair Evaluation
by: Ngo, Tran Gia Bao, et al.
Published: (2026)

FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning
by: Li, Wenzhe, et al.
Published: (2024)

VeriContest: A Competitive-Programming Benchmark for Verifiable Code Generation
by: Xie, Zichen, et al.
Published: (2026)

No evaluation without fair representation : Impact of label and selection bias on the evaluation, performance and mitigation of classification models
by: Legast, Magali, et al.
Published: (2026)

Revisit Time Series Classification Benchmark: The Impact of Temporal Information for Classification
by: Zhang, Yunrui, et al.
Published: (2025)

A Benchmarking Framework for AI models in Automotive Aerodynamics
by: Tangsali, Kaustubh, et al.
Published: (2025)

What does making money have to do with crime?: A dive into the National Crime Victimization survey
by: Anuyah, Sydney
Published: (2025)

Pencil Puzzle Bench: A Benchmark for Multi-Step Verifiable Reasoning
by: Waugh, Justin
Published: (2026)

Neural Laplace for learning Stochastic Differential Equations
by: Carrel, Adrien
Published: (2024)

ArenaBencher: Automatic Benchmark Evolution via Multi-Model Competitive Evaluation
by: Liu, Qin, et al.
Published: (2025)

DrBenchmark: A Large Language Understanding Evaluation Benchmark for French Biomedical Domain
by: Labrak, Yanis, et al.
Published: (2024)

Semantic Successive Refinement: A Generative AI-aided Semantic Communication Framework
by: Zhang, Kexin, et al.
Published: (2024)

Particle-MALA and Particle-mGRAD: Gradient-based MCMC methods for high-dimensional state-space models
by: Corenflos, Adrien, et al.
Published: (2024)

Diverse Concept Proposals for Concept Bottleneck Models
by: Brown, Katrina, et al.
Published: (2024)

LLM Swiss Round: Aggregating Multi-Benchmark Performance via Competitive Swiss-System Dynamics
by: Liu, Jiashuo, et al.
Published: (2025)

HeurekaBench: A Benchmarking Framework for AI Co-scientist
by: Panigrahi, Siba Smarak, et al.
Published: (2026)

Neurodata Without Boredom: Benchmarking Agentic AI for Data Reuse
by: Zhang, Ling-Qi, et al.
Published: (2026)

GotFunding: A grant recommendation system based on scientific articles
by: Zeng, Tong, et al.
Published: (2024)

The Epistemic Uncertainty Hole: an issue of Bayesian Neural Networks
by: Fellaji, Mohammed, et al.
Published: (2024)

SLMQuant:Benchmarking Small Language Model Quantization for Practical Deployment
by: Wang, Jiacheng, et al.
Published: (2025)

Mathematics and Coding are Universal AI Benchmarks
by: Chojecki, Przemyslaw
Published: (2025)

Robust Automatic Differentiation of Square-Root Kalman Filters via Gramian Differentials
by: Corenflos, Adrien
Published: (2026)