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Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI
Paper • 2505.19443 • Published • 15 -
Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs
Paper • 2506.19290 • Published • 53 -
CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks
Paper • 2105.12655 • Published -
StarCoder 2 and The Stack v2: The Next Generation
Paper • 2402.19173 • Published • 152
Collections
Discover the best community collections!
Collections including paper arxiv:2405.04324
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Granite Code Models: A Family of Open Foundation Models for Code Intelligence
Paper • 2405.04324 • Published • 25 -
Scaling Granite Code Models to 128K Context
Paper • 2407.13739 • Published • 20 -
ibm-granite/granite-3b-code-base-2k
Text Generation • 3B • Updated • 139k • 37 -
ibm-granite/granite-3b-code-base-128k
Text Generation • 3B • Updated • 175 • 6
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LoRA+: Efficient Low Rank Adaptation of Large Models
Paper • 2402.12354 • Published • 7 -
The FinBen: An Holistic Financial Benchmark for Large Language Models
Paper • 2402.12659 • Published • 23 -
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization
Paper • 2402.13249 • Published • 15 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 69
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OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models
Paper • 2411.04905 • Published • 127 -
Granite Code Models: A Family of Open Foundation Models for Code Intelligence
Paper • 2405.04324 • Published • 25 -
Seed-Coder: Let the Code Model Curate Data for Itself
Paper • 2506.03524 • Published • 6 -
Qwen2.5-Coder Technical Report
Paper • 2409.12186 • Published • 153
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Granite Code Models: A Family of Open Foundation Models for Code Intelligence
Paper • 2405.04324 • Published • 25 -
ibm-research/materials.smi-ted
Feature Extraction • Updated • 62.2k • • 33 -
From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence
Paper • 2511.18538 • Published • 296
-
Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI
Paper • 2505.19443 • Published • 15 -
Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs
Paper • 2506.19290 • Published • 53 -
CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks
Paper • 2105.12655 • Published -
StarCoder 2 and The Stack v2: The Next Generation
Paper • 2402.19173 • Published • 152
-
OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models
Paper • 2411.04905 • Published • 127 -
Granite Code Models: A Family of Open Foundation Models for Code Intelligence
Paper • 2405.04324 • Published • 25 -
Seed-Coder: Let the Code Model Curate Data for Itself
Paper • 2506.03524 • Published • 6 -
Qwen2.5-Coder Technical Report
Paper • 2409.12186 • Published • 153
-
Granite Code Models: A Family of Open Foundation Models for Code Intelligence
Paper • 2405.04324 • Published • 25 -
ibm-research/materials.smi-ted
Feature Extraction • Updated • 62.2k • • 33 -
From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence
Paper • 2511.18538 • Published • 296
-
Granite Code Models: A Family of Open Foundation Models for Code Intelligence
Paper • 2405.04324 • Published • 25 -
Scaling Granite Code Models to 128K Context
Paper • 2407.13739 • Published • 20 -
ibm-granite/granite-3b-code-base-2k
Text Generation • 3B • Updated • 139k • 37 -
ibm-granite/granite-3b-code-base-128k
Text Generation • 3B • Updated • 175 • 6
-
LoRA+: Efficient Low Rank Adaptation of Large Models
Paper • 2402.12354 • Published • 7 -
The FinBen: An Holistic Financial Benchmark for Large Language Models
Paper • 2402.12659 • Published • 23 -
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization
Paper • 2402.13249 • Published • 15 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 69