Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models Paper • 2410.07985 • Published Oct 10, 2024 • 28
Towards a Unified View of Preference Learning for Large Language Models: A Survey Paper • 2409.02795 • Published Sep 4, 2024 • 72
DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search Paper • 2408.08152 • Published Aug 15, 2024 • 54
The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism Paper • 2407.10457 • Published Jul 15, 2024 • 23
Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Models Paper • 2407.01906 • Published Jul 2, 2024 • 36
DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence Paper • 2406.11931 • Published Jun 17, 2024 • 62
DeepSeek-VL: Towards Real-World Vision-Language Understanding Paper • 2403.05525 • Published Mar 8, 2024 • 43
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models Paper • 2402.03300 • Published Feb 5, 2024 • 88
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models Paper • 2401.06066 • Published Jan 11, 2024 • 47
DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Paper • 2401.02954 • Published Jan 5, 2024 • 43
Challenges and Applications of Large Language Models Paper • 2307.10169 • Published Jul 19, 2023 • 48
Llama 2: Open Foundation and Fine-Tuned Chat Models Paper • 2307.09288 • Published Jul 18, 2023 • 244