Trending Research
DeepSeek-V3 Technical Report
We present DeepSeek-V3, a strong Mixture-of-Experts (MoE) language model with 671B total parameters with 37B activated for each token.
Qwen2.5-Coder Technical Report
In this report, we introduce the Qwen2. 5-Coder series, a significant upgrade from its predecessor, CodeQwen1. 5.
DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence
deepseek-ai/DeepSeek-Coder
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The rapid development of large language models has revolutionized code intelligence in software development.
Ranked #4 on
Code Generation
on APPS
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Mathematical reasoning poses a significant challenge for language models due to its complex and structured nature.
Ranked #27 on
Arithmetic Reasoning
on GSM8K
(using extra training data)
Align Anything: Training All-Modality Models to Follow Instructions with Language Feedback
pku-alignment/align-anything
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In this work, we make the first attempt to fine-tune all-modality models (i. e. input and output with any modality, also named any-to-any models) using human preference data across all modalities (including text, image, audio, and video), ensuring its behavior aligns with human intentions.
DeepSeek LLM: Scaling Open-Source Language Models with Longtermism
The rapid development of open-source large language models (LLMs) has been truly remarkable.
RaySplats: Ray Tracing based Gaussian Splatting
3D Gaussian Splatting (3DGS) is a process that enables the direct creation of 3D objects from 2D images.
Tulu 3: Pushing Frontiers in Open Language Model Post-Training
Language model post-training is applied to refine behaviors and unlock new skills across a wide range of recent language models, but open recipes for applying these techniques lag behind proprietary ones.
LLM-AutoDiff: Auto-Differentiate Any LLM Workflow
Large Language Models (LLMs) have reshaped natural language processing, powering applications from multi-hop retrieval and question answering to autonomous agent workflows.
Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation
This system includes two foundation components: a large-scale shape generation model -- Hunyuan3D-DiT, and a large-scale texture synthesis model -- Hunyuan3D-Paint.
