most citedDeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

8 citations · 8 across the 6 of their papers we have counts for

collaborators

7 papers

cs.AI2025

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

Jinwu Chen, Qidie Wu, Bin Li +5

Optimizing CUDA kernels is a challenging and labor-intensive task, given the need for hardware-software co-design expertise and the proprietary nature of high-performance kernel li…

cs.CL20258 cited

DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

DeepSeek-AI, Aixin Liu, Aoxue Mei +260

We introduce DeepSeek-V3.2, a model that harmonizes high computational efficiency with superior reasoning and agent performance. The key technical breakthroughs of DeepSeek-V3.2 ar…

cs.CV2025

Metis-HOME: Hybrid Optimized Mixture-of-Experts for Multimodal Reasoning

Xiaohan Lan, Fanfan Liu, Haibo Qiu +4

Inspired by recent advancements in LLM reasoning, the field of multimodal reasoning has seen remarkable progress, achieving significant performance gains on intricate tasks such as…

cs.CL2025

An Efficient Rubric-based Generative Verifier for Search-Augmented LLMs

Linyue Ma, Yilong Xu, Xiang Long +1

Search augmentation empowers Large Language Models with retrieval capabilities to overcome the limitations imposed by static parameters. Recently, Reinforcement Learning leverages…

cs.AI2025

Metis-RISE: RL Incentivizes and SFT Enhances Multimodal Reasoning Model Learning

Haibo Qiu, Xiaohan Lan, Fanfan Liu +4

Recent advancements in large language models (LLMs) have witnessed a surge in the development of advanced reasoning paradigms, which are now being integrated into multimodal large…

cs.CV2025

InstructionBench: An Instructional Video Understanding Benchmark

Haiwan Wei, Yitian Yuan, Xiaohan Lan +2

Despite progress in video large language models (Video-LLMs), research on instructional video understanding, crucial for enhancing access to instructional content, remains insuffic…