29 papers
Predicting Signed Distance Functions for Visual Instance Segmentation
Emil Brissman, Joakim Johnander, Michael Felsberg
Visual instance segmentation is a challenging problem and becomes even more difficult if objects of interest varies unconstrained in shape. Some objects are well described by a rec…
Hierarchical Data Selection via Manifold Coverage and Sparse Feature Coverage in LLM Post-training
Peng Sun, Yi Yang, Antong Zhang +7
As supervised fine-tuning data continues to scale, selecting high-value subsets from large candidate pools is crucial for reducing training cost and improving model performance. Ex…
Towards High-Level Semantic Intelligence
Xiujie Song, Gefei Yang, Yining You +6
Recent advances in AI have substantially expanded its cognitive and reasoning capabilities. From the perspective of semantic complexity, the development of AI reveals a clear traje…
Distributed Agent System: Fault-Tolerant Collaboration Among Embodied Agents
Kai Yu, Lu Chen, Hanqi Li
AI engineering is shifting from passive text generation by large language models (LLMs) to agent-driven task execution, creating new reliability challenges for long-horizon tasks u…
Externalizing Research Synthesis and Validation in AI Scientists through a Research Harness
Zijian Wang, Hanqi Li, Ziyue Yang +17
AI systems can increasingly automate scientific workflows, but the reasoning that links prior evidence, generated ideas, experiments and final claims often remains implicit inside…
DeepSurvey: Enhancing Analytical Depth and Citation Reliability in Automated Survey Generation
Ziyue Yang, Da Ma, Hanqi Li +8
As scientific literature grows rapidly, automated survey generation has become a key capability for AI scientists and human researchers. However, existing systems suffer from limit…