Niklas Muennighoff

papers

5,246

total citations

papers (15)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

ICLR 2025arXiv

2,226

citations

Model Alignment as Prospect Theoretic Optimization

ICML 2024arXiv

871

citations

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions

ICLR 2025arXiv

410

citations

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

CVPR 2025arXiv

111

citations

SWE-bench Multimodal: Do AI Systems Generalize to Visual Software Domains?

ICLR 2025arXiv

108

citations

RegMix: Data Mixture as Regression for Language Model Pre-training

ICLR 2025arXiv

105

citations

MMTEB: Massive Multilingual Text Embedding Benchmark

ICLR 2025arXiv

citations

Language models scale reliably with over-training and on downstream tasks

ICLR 2025arXiv

citations

Scaling Laws for Precision

ICLR 2025arXiv

citations

ReasonIR: Training Retrievers for Reasoning Tasks

COLM 2025arXiv

citations

MIEB: Massive Image Embedding Benchmark

ICCV 2025arXiv

citations

Niklas Muennighoff

papers (15)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Model Alignment as Prospect Theoretic Optimization

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions

OpenHands: An Open Platform for AI Software Developers as Generalist Agents

Scaling Data-Constrained Language Models

Generative Representational Instruction Tuning

OctoPack: Instruction Tuning Code Large Language Models

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

SWE-bench Multimodal: Do AI Systems Generalize to Visual Software Domains?

RegMix: Data Mixture as Regression for Language Model Pre-training

MMTEB: Massive Multilingual Text Embedding Benchmark

Language models scale reliably with over-training and on downstream tasks

Scaling Laws for Precision

ReasonIR: Training Retrievers for Reasoning Tasks

MIEB: Massive Image Embedding Benchmark

papers (15)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Model Alignment as Prospect Theoretic Optimization

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions

OpenHands: An Open Platform for AI Software Developers as Generalist Agents

Scaling Data-Constrained Language Models

Generative Representational Instruction Tuning

OctoPack: Instruction Tuning Code Large Language Models

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

SWE-bench Multimodal: Do AI Systems Generalize to Visual Software Domains?

RegMix: Data Mixture as Regression for Language Model Pre-training

MMTEB: Massive Multilingual Text Embedding Benchmark

Language models scale reliably with over-training and on downstream tasks

Scaling Laws for Precision

ReasonIR: Training Retrievers for Reasoning Tasks

MIEB: Massive Image Embedding Benchmark