DeepSeek LLM: Scaling Open-Source Language Models with Longtermism
Paper • 2401.02954 • Published • 53
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Qwen Technical Report
Paper • 2309.16609 • Published • 38 -
GPT-4 Technical Report
Paper • 2303.08774 • Published • 7 -
Gemini: A Family of Highly Capable Multimodal Models
Paper • 2312.11805 • Published • 49 -
An In-depth Look at Gemini's Language Abilities
Paper • 2312.11444 • Published • 1 -
From Google Gemini to OpenAI Q* (Q-Star): A Survey of Reshaping the Generative Artificial Intelligence (AI) Research Landscape
Paper • 2312.10868 • Published • 1 -
Gemini in Reasoning: Unveiling Commonsense in Multimodal Large Language Models
Paper • 2312.17661 • Published • 15 -
Mistral 7B
Paper • 2310.06825 • Published • 58 -
TinyLlama: An Open-Source Small Language Model
Paper • 2401.02385 • Published • 95 -
Textbooks Are All You Need II: phi-1.5 technical report
Paper • 2309.05463 • Published • 90 -
Textbooks Are All You Need
Paper • 2306.11644 • Published • 154 -
Mixtral of Experts
Paper • 2401.04088 • Published • 160 -
MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts
Paper • 2401.04081 • Published • 74 -
Magicoder: Source Code Is All You Need
Paper • 2312.02120 • Published • 82 -
Towards Conversational Diagnostic AI
Paper • 2401.05654 • Published • 20 -
MM-LLMs: Recent Advances in MultiModal Large Language Models
Paper • 2401.13601 • Published • 47 -
MambaByte: Token-free Selective State Space Model
Paper • 2401.13660 • Published • 59 -
From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities
Paper • 2401.15071 • Published • 37 -
Language Models can be Logical Solvers
Paper • 2311.06158 • Published • 20 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 85 -
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Paper • 2402.03300 • Published • 142 -
BlackMamba: Mixture of Experts for State-Space Models
Paper • 2402.01771 • Published • 25 -
BGE M3-Embedding: Multi-Lingual, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation
Paper • 2402.03216 • Published • 7 -
Matryoshka Representation Learning
Paper • 2205.13147 • Published • 25 -
Not all layers are equally as important: Every Layer Counts BERT
Paper • 2311.02265 • Published • 1 -
An Interactive Agent Foundation Model
Paper • 2402.05929 • Published • 29 -
Advancing State of the Art in Language Modeling
Paper • 2312.03735 • Published • 1 -
Large Language Models: A Survey
Paper • 2402.06196 • Published • 4 -
ChemLLM: A Chemical Large Language Model
Paper • 2402.06852 • Published • 32 -
OS-Copilot: Towards Generalist Computer Agents with Self-Improvement
Paper • 2402.07456 • Published • 46 -
Grandmaster-Level Chess Without Search
Paper • 2402.04494 • Published • 69 -
Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks
Paper • 2401.02731 • Published • 3 -
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases
Paper • 2402.14905 • Published • 134 -
Yi: Open Foundation Models by 01.AI
Paper • 2403.04652 • Published • 65 -
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training
Paper • 2403.09611 • Published • 129 -
InternLM2 Technical Report
Paper • 2403.17297 • Published • 34 -
Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models
Paper • 2404.12387 • Published • 40 -
Your Transformer is Secretly Linear
Paper • 2405.12250 • Published • 157 -
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention
Paper • 2405.12981 • Published • 33 -
Observational Scaling Laws and the Predictability of Language Model Performance
Paper • 2405.10938 • Published • 14