New FM and its Applications
Training & Inference
Research on Explainability
and Other Aspects
Virtual Agent
Physical Agent
To support the company's medium- and long-term development on Artificial General Intelligence (AGI) in term of fundamental research, enhance independent innovation, accelerate the pace of realization of AGI, and at the same time focus on scientific and technological innovation in AGI-related topics to improve the theoretical and technological competitiveness of the enterprise.
Crossing the "Singularity", exploring the unknown, creating a better future, and becoming an outstanding scientific research organization for the future world!
New FM and its Applications
Training & Inference
Research on Explainability
and Other Aspects
Virtual Agent
Physical Agent
Reinforcement Learning from Diverse Human Preferences
Wanqi Xue, Bo An, Shuicheng Yan, Zhongwen Xu
IJCAI 2024 Conference
August 2024
Keywords: Reinforcement Learning, Human Preferences, Human Feedback, Rewards
Exploring Diffusion Time-steps for Unsupervised Representation Learning
Zhongqi Yue, Jiankun Wang, Qianru Sun, Lei Ji, Eric I-Chao Chang, Hanwang Zhang
ICLR 2024 Conference
May 2024
Keywords: unsupervised representation learning, diffusion model, representation disentanglement, counterfactual generation
Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control
Longtao Zheng, Rundong Wang, Xinrun Wang, Bo An
ICLR 2024 Conference
May 2024
Keywords: AI Agents, Large Language Models, Prompting
True Knowledge Comes from Practice: Aligning Large Language Models with Embodied Environments via Reinforcement Learning
Weihao Tan, Wentao Zhang, Shanqi Liu, Longtao Zheng, Xinrun Wang, Bo An
ICLR 2024 Conference
May 2024
Keywords: Reinforcement Learning, Large Language Models, Parameter-Efficient Fine-Tuning
Enhancing Video-Language Representations with Structural Spatio-Temporal Alignment
Hao Fei; Shengqiong Wu; Meishan Zhang; Min Zhang; Tat-Seng Chua; Shuicheng Yan
IEEE Transactions on Pattern Analysis and Machine Intelligence
April 2024
Keywords: Videos, Semantics, Transformers
Skywork
Skywork series models are pre-trained on a 3.2TB sized high-quality multilingual dataset (predominantly Chinese and English).
Vitron
Vitron is a universal pixel-level vision LLM, designed for comprehensive understanding (perceiving and reasoning), generating, segmenting (grounding and tracking), editing (inpainting) of both static image and dynamic video content.
AgentStudio
AgentStudio is an open toolkit covering the entire lifespan of building virtual agents that can interact with everything in digital worlds.
PointCloudMamba
Point Cloud Mamba surpasses the SOTA point-based method, PointNeXt and achieves new SOTA performance on the ScanObjectNN, ModelNet40, and ShapeNetPart datasets.
Skywork
FOR THE BEST AND THE BRIGHTEST
We offer you a unique blend of opportunities—a stimulating research career at 2050 Research coupled with the chance to pursue postgraduate education in Singapore leading universities. Candidates embark on a collaborative research journey, working on jointly-identified projects supervised by the Company qualified supervisor and universitites, thereby fulfilling their PhD requirements while making significant contributions to the industry.
Selected candidates will be full-time salaried employees of the Company while pursuing full-time PhD studies at our partnering universities in Singapore (National University of Singapore and Nanyang Technological University). Besides working along with our research scientists to conduct groundbreaking research in the AGI field, focusing on Foundation Model 2.0 and Agents, candidates will collaborate closely with our interdisciplinary team to publish influential research findings in top-tiered conferences and journals, making significant impact on the AGI community.
Interested applicants should send the motivation letter, Curriculum Vitae, and publication list via email to Michelle (michelle@kunlun-inc.com).
Our program is open throughout the year, and will be considered for the next nearest intake, following the university's academic calendar (August and January intakes).
We offer you a unique blend of opportunities—a stimulating research career at 2050 Research coupled with the chance to pursue postgraduate education in Singapore leading universities. Candidates embark on a collaborative research journey, working on jointly-identified projects supervised by the Company qualified supervisor and universitites, thereby fulfilling their PhD requirements while making significant contributions to the industry.
This program is a collaboration between Singapore's Economic Development Board and Skywork AI to develop a talent pool with critical R&D skillsets for the industry. Selected candidates will be full-time salaried employees of the Company while pursuing full-time PhD studies at our partnering universities in Singapore (National University of Singapore, Nanyang Technological University and Singapore University of Design and Technology).
Besides working along with our research scientists to conduct groundbreaking research in the AGI field, focusing on Foundation Model 2.0 and Agents, candidates will collaborate closely with our interdisciplinary team to publish influential research findings in top-tiered conferences and journals, making significant impact on the AGI community.
Interested applicants should send the motivation letter, Curriculum Vitae, and publication list via email to Michelle (michelle@kunlun-inc.com).
Our program is open throughout the year, and will be considered for the next nearest intake, following the university's academic calendar (August and January intakes).
