Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models Paper • 2409.17146 • Published Sep 25 • 104
OpenDevin: An Open Platform for AI Software Developers as Generalist Agents Paper • 2407.16741 • Published Jul 23 • 68
One Embedder, Any Task: Instruction-Finetuned Text Embeddings Paper • 2212.09741 • Published Dec 19, 2022 • 3
Selective Annotation Makes Language Models Better Few-Shot Learners Paper • 2209.01975 • Published Sep 5, 2022
OpenAgents: An Open Platform for Language Agents in the Wild Paper • 2310.10634 • Published Oct 16, 2023 • 8
BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval Paper • 2407.12883 • Published Jul 16 • 8
RegMix: Data Mixture as Regression for Language Model Pre-training Paper • 2407.01492 • Published Jul 1 • 35
C-Pack: Packaged Resources To Advance General Chinese Embedding Paper • 2309.07597 • Published Sep 14, 2023 • 1
DataComp-LM: In search of the next generation of training sets for language models Paper • 2406.11794 • Published Jun 17 • 50
The Scandinavian Embedding Benchmarks: Comprehensive Assessment of Multilingual and Monolingual Text Embedding Paper • 2406.02396 • Published Jun 4
Language models scale reliably with over-training and on downstream tasks Paper • 2403.08540 • Published Mar 13 • 14