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Found 6 papers, 2 papers with code
On Path to Multimodal Historical Reasoning: HistBench and HistAgent
Recent advances in large language models (LLMs) have led to remarkable progress across domains, yet their capabilities in the humanities, particularly history, remain underexplored.
Semi-Supervised Medical Image Segmentation via Knowledge Mining from Large Models
Large-scale vision models like SAM have extensive visual knowledge, yet their general nature and computational demands limit their use in specialized tasks like medical image segmentation.
AgentTrek: Agent Trajectory Synthesis via Guiding Replay with Web Tutorials
This work underscores the potential of guided replay with web tutorials as a viable strategy for large-scale GUI agent training, paving the way for more capable and autonomous digital agents.
Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late in Training
Specifically, we find that SAM efficiently selects flatter minima late in training.
SeLoRA: Self-Expanding Low-Rank Adaptation of Latent Diffusion Model for Medical Image Synthesis
The persistent challenge of medical image synthesis posed by the scarcity of annotated data and the need to synthesize `missing modalities' for multi-modal analysis, underscored the imperative development of effective synthesis methods.
Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?
These tasks, derived from real-world use cases, evaluate the ability of a multimodal agent to perform data-related tasks by writing code and managing the GUI in enterprise data software systems.
