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Collections including paper arxiv:2503.02951

Perception and abstraction. Each modality is tokenized and embedded into vectors for model to comprehend.

VILA^2: VILA Augmented VILA

Paper • 2407.17453 • Published Jul 24, 2024 • 41
Octopus v4: Graph of language models

Paper • 2404.19296 • Published Apr 30, 2024 • 118
Octo-planner: On-device Language Model for Planner-Action Agents

Paper • 2406.18082 • Published Jun 26, 2024 • 48
Dolphin: Long Context as a New Modality for Energy-Efficient On-Device Language Models

Paper • 2408.15518 • Published Aug 28, 2024 • 42

OpenCodeInstruct: A Large-scale Instruction Tuning Dataset for Code LLMs

Paper • 2504.04030 • Published Apr 5 • 1
KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding

Paper • 2503.02951 • Published Mar 4 • 33
BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions

Paper • 2406.15877 • Published Jun 22, 2024 • 48
Magicoder: Source Code Is All You Need

Paper • 2312.02120 • Published Dec 4, 2023 • 82

MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels

Paper • 2405.07526 • Published May 13, 2024 • 21
Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach

Paper • 2405.15613 • Published May 24, 2024 • 17
A Touch, Vision, and Language Dataset for Multimodal Alignment

Paper • 2402.13232 • Published Feb 20, 2024 • 16
How Do Large Language Models Acquire Factual Knowledge During Pretraining?

Paper • 2406.11813 • Published Jun 17, 2024 • 31

Code Generation

CodeEditorBench: Evaluating Code Editing Capability of Large Language Models

Paper • 2404.03543 • Published Apr 4, 2024 • 18
DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Paper • 2406.11931 • Published Jun 17, 2024 • 65
AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents

Paper • 2407.18901 • Published Jul 26, 2024 • 35
Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents

Paper • 2408.07060 • Published Aug 13, 2024 • 42

Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI

Paper • 2505.19443 • Published May 26 • 15
Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs

Paper • 2506.19290 • Published Jun 24 • 52
CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Paper • 2105.12655 • Published May 25, 2021
StarCoder 2 and The Stack v2: The Next Generation

Paper • 2402.19173 • Published Feb 29, 2024 • 151

KodCode-V1 is the largest fully-synthetic open-source dataset providing verifiable solutions and tests for coding tasks.

KodCode/KodCode-V1

Viewer • Updated Mar 17 • 487k • 1.37k • 99
KodCode/KodCode-Light-RL-10K

Viewer • Updated Apr 2 • 10k • 595 • 8
KodCode/KodCode-V1-SFT-R1

Viewer • Updated Mar 17 • 483k • 348 • 34
KodCode/KodCode-V1-SFT-4o

Viewer • Updated Mar 16 • 410k • 325 • 10

Getting it Right: Improving Spatial Consistency in Text-to-Image Models

Paper • 2404.01197 • Published Apr 1, 2024 • 31
CosmicMan: A Text-to-Image Foundation Model for Humans

Paper • 2404.01294 • Published Apr 1, 2024 • 17
mOSCAR: A Large-scale Multilingual and Multimodal Document-level Corpus

Paper • 2406.08707 • Published Jun 13, 2024 • 17
DataComp-LM: In search of the next generation of training sets for language models

Paper • 2406.11794 • Published Jun 17, 2024 • 54

Synthetic Data and Self-Improvement

Training Software Engineering Agents and Verifiers with SWE-Gym

Paper • 2412.21139 • Published Dec 30, 2024 • 24
Evaluating Language Models as Synthetic Data Generators

Paper • 2412.03679 • Published Dec 4, 2024 • 48
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 151
Self-Discover: Large Language Models Self-Compose Reasoning Structures

Paper • 2402.03620 • Published Feb 6, 2024 • 117

Perception and abstraction. Each modality is tokenized and embedded into vectors for model to comprehend.

VILA^2: VILA Augmented VILA

Paper • 2407.17453 • Published Jul 24, 2024 • 41
Octopus v4: Graph of language models

Paper • 2404.19296 • Published Apr 30, 2024 • 118
Octo-planner: On-device Language Model for Planner-Action Agents

Paper • 2406.18082 • Published Jun 26, 2024 • 48
Dolphin: Long Context as a New Modality for Energy-Efficient On-Device Language Models

Paper • 2408.15518 • Published Aug 28, 2024 • 42

Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI

Paper • 2505.19443 • Published May 26 • 15
Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs

Paper • 2506.19290 • Published Jun 24 • 52
CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Paper • 2105.12655 • Published May 25, 2021
StarCoder 2 and The Stack v2: The Next Generation

Paper • 2402.19173 • Published Feb 29, 2024 • 151

OpenCodeInstruct: A Large-scale Instruction Tuning Dataset for Code LLMs

Paper • 2504.04030 • Published Apr 5 • 1
KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding

Paper • 2503.02951 • Published Mar 4 • 33
BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions

Paper • 2406.15877 • Published Jun 22, 2024 • 48
Magicoder: Source Code Is All You Need

Paper • 2312.02120 • Published Dec 4, 2023 • 82

KodCode-V1 is the largest fully-synthetic open-source dataset providing verifiable solutions and tests for coding tasks.

KodCode/KodCode-V1

Viewer • Updated Mar 17 • 487k • 1.37k • 99
KodCode/KodCode-Light-RL-10K

Viewer • Updated Apr 2 • 10k • 595 • 8
KodCode/KodCode-V1-SFT-R1

Viewer • Updated Mar 17 • 483k • 348 • 34
KodCode/KodCode-V1-SFT-4o

Viewer • Updated Mar 16 • 410k • 325 • 10

MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels

Paper • 2405.07526 • Published May 13, 2024 • 21
Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach

Paper • 2405.15613 • Published May 24, 2024 • 17
A Touch, Vision, and Language Dataset for Multimodal Alignment

Paper • 2402.13232 • Published Feb 20, 2024 • 16
How Do Large Language Models Acquire Factual Knowledge During Pretraining?

Paper • 2406.11813 • Published Jun 17, 2024 • 31

Getting it Right: Improving Spatial Consistency in Text-to-Image Models

Paper • 2404.01197 • Published Apr 1, 2024 • 31
CosmicMan: A Text-to-Image Foundation Model for Humans

Paper • 2404.01294 • Published Apr 1, 2024 • 17
mOSCAR: A Large-scale Multilingual and Multimodal Document-level Corpus

Paper • 2406.08707 • Published Jun 13, 2024 • 17
DataComp-LM: In search of the next generation of training sets for language models

Paper • 2406.11794 • Published Jun 17, 2024 • 54

Code Generation

CodeEditorBench: Evaluating Code Editing Capability of Large Language Models

Paper • 2404.03543 • Published Apr 4, 2024 • 18
DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Paper • 2406.11931 • Published Jun 17, 2024 • 65
AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents

Paper • 2407.18901 • Published Jul 26, 2024 • 35
Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents

Paper • 2408.07060 • Published Aug 13, 2024 • 42

Synthetic Data and Self-Improvement

Training Software Engineering Agents and Verifiers with SWE-Gym

Paper • 2412.21139 • Published Dec 30, 2024 • 24
Evaluating Language Models as Synthetic Data Generators

Paper • 2412.03679 • Published Dec 4, 2024 • 48
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 151
Self-Discover: Large Language Models Self-Compose Reasoning Structures

Paper • 2402.03620 • Published Feb 6, 2024 • 117

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