Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models
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2409.17146
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104
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multi-train
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One Embedder, Any Task: Instruction-Finetuned Text Embeddings
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2212.09741
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3
Selective Annotation Makes Language Models Better Few-Shot Learners
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2209.01975
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OpenAgents: An Open Platform for Language Agents in the Wild
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2310.10634
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8
Generative Representational Instruction Tuning
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2402.09906
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53
BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval
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2407.12883
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RegMix: Data Mixture as Regression for Language Model Pre-training
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2407.01492
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35
C-Pack: Packaged Resources To Advance General Chinese Embedding
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2309.07597
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1
DataComp-LM: In search of the next generation of training sets for language models
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2406.11794
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50
Muennighoff
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Muennighoff
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10 months ago
multi-train
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Muennighoff
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Muennighoff
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11 months ago
Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model
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2402.07827
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45
Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning
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2402.06619
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54
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research
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2402.00159
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61
OLMo: Accelerating the Science of Language Models
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2402.00838
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82