Cover Image

NeurIPS 2025 E2LM Competition : Early Training Evaluation of Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yagoubi, Mouadh, Dahou, Yasser, Mokeddem, Billel, Belkada, Younes, Le-Khac, Phuc H., Boussaha, Basma El Amel, Alami, Reda, Zuo, Jingwei, Marsili, Damiano, Farooq, Mugariya, Lalmas, Mounia, Gkioxari, Georgia, Gallinari, Patrick, Torr, Philip, Hacid, Hakim
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

NeurIPS 2024 ML4CFD Competition: Harnessing Machine Learning for Computational Fluid Dynamics in Airfoil Design
by: Yagoubi, Mouadh, et al.
Published: (2024)

NeurIPS 2024 ML4CFD Competition: Results and Retrospective Analysis
by: Yagoubi, Mouadh, et al.
Published: (2025)

Results of the Big ANN: NeurIPS'23 competition
by: Simhadri, Harsha Vardhan, et al.
Published: (2024)

NeurIPS 2023 LLM Efficiency Fine-tuning Competition
by: Saroufim, Mark, et al.
Published: (2025)

A Systematic Review of NeurIPS Dataset Management Practices
by: Wu, Yiwei, et al.
Published: (2024)

RMIT-ADM+S at the MMU-RAG NeurIPS 2025 Competition
by: Ran, Kun, et al.
Published: (2026)

NeurIPS should lead scientific consensus on AI policy
by: Bommasani, Rishi
Published: (2025)

3LM: Bridging Arabic, STEM, and Code through Benchmarking
by: Boussaha, Basma El Amel, et al.
Published: (2025)

The nextAI Solution to the NeurIPS 2023 LLM Efficiency Challenge
by: Park, Gyuwon, et al.
Published: (2026)

Aditya-Ranjan1234/mindgames_NeurIPS2025: Revac_8 Initial Release – NeurIPS 2025 Winning Agent
by: mihiraryaa, et al.
Published: (2026)

NeurIPS Should Require Reproducibility Standards for Frontier AI Safety Claims
by: Vishwarupe, Varad, et al.
Published: (2026)

NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA
by: Tobaben, Marlon, et al.
Published: (2024)

NeurIPS: Neuro-anatomical Inductive Priors for Sphere-based Brain Decoding
by: Yu, Sijin, et al.
Published: (2026)

First-Place Solution to NeurIPS 2024 Invisible Watermark Removal Challenge
by: Shamshad, Fahad, et al.
Published: (2025)

Usefulness of LLMs as an Author Checklist Assistant for Scientific Papers: NeurIPS'24 Experiment
by: Goldberg, Alexander, et al.
Published: (2024)

Results of the NeurIPS 2023 Neural MMO Competition on Multi-task Reinforcement Learning
by: Suárez, Joseph, et al.
Published: (2025)

Are we making progress in unlearning? Findings from the first NeurIPS unlearning competition
by: Triantafillou, Eleni, et al.
Published: (2024)

TIEG-Youpu Solution for NeurIPS 2022 WikiKG90Mv2-LSC
by: Nie, Feng, et al.
Published: (2026)

The State of Data Curation at NeurIPS: An Assessment of Dataset Development Practices in the Datasets and Benchmarks Track
by: Bhardwaj, Eshta, et al.
Published: (2024)

The NeurIPS 2023 Machine Learning for Audio Workshop: Affective Audio Benchmarks and Novel Data
by: Baird, Alice, et al.
Published: (2024)

Machine Learning Research Has Outpaced Its Communication Norms and NeurIPS Should Act
by: Rangarajan, Ajay Mandyam, et al.
Published: (2026)

Alignment with Preference Optimization Is All You Need for LLM Safety
by: Alami, Reda, et al.
Published: (2024)

Falcon2-11B Technical Report
by: Malartic, Quentin, et al.
Published: (2024)

MedAI: Evaluating TxAgent's Therapeutic Agentic Reasoning in the NeurIPS CURE-Bench Competition
by: Cofala, Tim, et al.
Published: (2025)

datasets for NeurIPS 2024 paper "Learning diverse causally emergent representations from time series data"
by: McSharry, David
Published: (2025)

NeurIPS 2024 Ariel Data Challenge: Characterisation of Exoplanetary Atmospheres Using a Data-Centric Approach
by: Blanchard, Jeremie, et al.
Published: (2025)

Competitive Audio-Language Models with Data-Efficient Single-Stage Training on Public Data
by: Kumar, Gokul Karthik, et al.
Published: (2025)

No Labels, No Problem: Training Visual Reasoners with Multimodal Verifiers
by: Marsili, Damiano, et al.
Published: (2025)

Code for APE: A Data-Centric Benchmark for Efficient LLM Adaptation in Text Summarization (NeurIPS 2025 Submission)
by: Anonymous Author(s)
Published: (2025)

Compound Deception in Elite Peer Review: A Failure Mode Taxonomy of 100 Fabricated Citations at NeurIPS 2025
by: Ansari, Samar
Published: (2026)

A new methodology to decompose a parametric domain using reduced order data manifold in machine learning
by: Mang, Chetra, et al.
Published: (2025)

Evaluating Arabic Large Language Models: A Survey of Benchmarks, Methods, and Gaps
by: Alzubaidi, Ahmed, et al.
Published: (2025)

Learnable Multipliers: Freeing the Scale of Language Model Matrix Layers
by: Velikanov, Maksim, et al.
Published: (2026)

Constrained Recurrent Bayesian Forecasting for Crack Propagation
by: Ouerk, Sara Yasmine, et al.
Published: (2024)

Code and experiment data from the NeurIPS 2025 paper "Classical Planning with LLM-Generated Heuristics: Challenging the State of the Art with Python Code"
by: Corrêa, Augusto B., et al.
Published: (2025)

Rhizosphere Soil Aggregation and Plant Growth Promotion of Sunflowers by an Exopolysaccharide-Producing Rhizobiumsp. Strain Isolated from Sunflower Roots. / Younes Alami
by: Alami, Younes
Published: (2000)

Are Arabic Benchmarks Reliable? QIMMA's Quality-First Approach to LLM Evaluation
by: AlQadi, Leen, et al.
Published: (2026)

An adaptive sampling algorithm for data-generation to build a data-manifold for physical problem surrogate modeling
by: Mang, Chetra, et al.
Published: (2025)

Falcon Mamba: The First Competitive Attention-free 7B Language Model
by: Zuo, Jingwei, et al.
Published: (2024)

Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations
by: De Nadai, Marco, et al.
Published: (2025)