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Collections including paper arxiv:2406.11931

DS' Daily paper

Instruction Pre-Training: Language Models are Supervised Multitask Learners

Paper • 2406.14491 • Published Jun 20 • 85
Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Paper • 2405.21060 • Published May 31 • 63
Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models

Paper • 2405.20541 • Published May 30 • 20
MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark

Paper • 2406.01574 • Published Jun 3 • 42

Bootstrapping Language Models with DPO Implicit Rewards

Paper • 2406.09760 • Published Jun 14 • 37
DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Paper • 2406.11931 • Published Jun 17 • 56
Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs

Paper • 2406.14544 • Published Jun 20 • 34
Instruction Pre-Training: Language Models are Supervised Multitask Learners

Paper • 2406.14491 • Published Jun 20 • 85

Code Understanding

DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Paper • 2406.11931 • Published Jun 17 • 56

DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Paper • 2406.11931 • Published Jun 17 • 56
MMDU: A Multi-Turn Multi-Image Dialog Understanding Benchmark and Instruction-Tuning Dataset for LVLMs

Paper • 2406.11833 • Published Jun 17 • 61

DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Paper • 2406.11931 • Published Jun 17 • 56

DataComp-LM: In search of the next generation of training sets for language models

Paper • 2406.11794 • Published Jun 17 • 48
Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs

Paper • 2406.10209 • Published Jun 14 • 8
Transformers Can Do Arithmetic with the Right Embeddings

Paper • 2405.17399 • Published May 27 • 51
DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Paper • 2406.11931 • Published Jun 17 • 56

DeepSeekCoder-V2

deepseek-ai/DeepSeek-Coder-V2-Instruct

Text Generation • Updated Aug 21 • 69.8k • 460
deepseek-ai/DeepSeek-Coder-V2-Base

Text Generation • Updated Jul 3 • 217 • 49
deepseek-ai/DeepSeek-Coder-V2-Lite-Base

Text Generation • Updated Jul 3 • 7.5k • 53
deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct

Text Generation • Updated Jul 3 • 101k • 289

Code Generation

CodeEditorBench: Evaluating Code Editing Capability of Large Language Models

Paper • 2404.03543 • Published Apr 4 • 15
DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Paper • 2406.11931 • Published Jun 17 • 56
AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents

Paper • 2407.18901 • Published Jul 26 • 31
Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents

Paper • 2408.07060 • Published Aug 13 • 39

Foundation Models

OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1 • 79
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Paper • 2403.05530 • Published Mar 8 • 59
StarCoder: may the source be with you!

Paper • 2305.06161 • Published May 9, 2023 • 29
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Paper • 2312.15166 • Published Dec 23, 2023 • 56

LLM+Architecture

MoA: Mixture-of-Attention for Subject-Context Disentanglement in Personalized Image Generation

Paper • 2404.11565 • Published Apr 17 • 14
Skywork-MoE: A Deep Dive into Training Techniques for Mixture-of-Experts Language Models

Paper • 2406.06563 • Published Jun 3 • 17
DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Paper • 2406.11931 • Published Jun 17 • 56

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