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Found 13 papers, 4 papers with code
Simple, Efficient and Scalable Structure-aware Adapter Boosts Protein Language Models
Fine-tuning Pre-trained protein language models (PLMs) has emerged as a prominent strategy for enhancing downstream prediction tasks, often outperforming traditional supervised learning approaches.
GluMarker: A Novel Predictive Modeling of Glycemic Control Through Digital Biomarkers
This leaves a gap in expanding the scope of digital biomarkers for overall glycemic control in diabetes management.
Toward Short-Term Glucose Prediction Solely Based on CGM Time Series
The global diabetes epidemic highlights the importance of maintaining good glycemic control.
CrossGP: Cross-Day Glucose Prediction Excluding Physiological Information
Because diabetes may develop into potential serious complications, early glucose prediction for diabetic patients is necessary for timely medical treatment.
VeTraSS: Vehicle Trajectory Similarity Search Through Graph Modeling and Representation Learning
Trajectory similarity search plays an essential role in autonomous driving, as it enables vehicles to analyze the information and characteristics of different trajectories to make informed decisions and navigate safely in dynamic environments.
A Survey of Optimization-based Task and Motion Planning: From Classical To Learning Approaches
Task and Motion Planning (TAMP) integrates high-level task planning and low-level motion planning to equip robots with the autonomy to effectively reason over long-horizon, dynamic tasks.
FineFake: A Knowledge-Enriched Dataset for Fine-Grained Multi-Domain Fake News Detecction
Existing benchmarks for fake news detection have significantly contributed to the advancement of models in assessing the authenticity of news content.
Enhancing the efficiency of protein language models with minimal wet-lab data through few-shot learning
Accurately modeling the protein fitness landscapes holds great importance for protein engineering.
PETA: Evaluating the Impact of Protein Transfer Learning with Sub-word Tokenization on Downstream Applications
Moreover, despite the wealth of benchmarks and studies in the natural language community, there remains a lack of a comprehensive benchmark for systematically evaluating protein language model quality.
Controlling Character Motions without Observable Driving Source
A high-level prior model can be easily injected on top to generate unlimited long and diverse sequences.
LiveChat: A Large-Scale Personalized Dialogue Dataset Automatically Constructed from Live Streaming
Open-domain dialogue systems have made promising progress in recent years.
See, Plan, Predict: Language-guided Cognitive Planning with Video Prediction
Cognitive planning is the structural decomposition of complex tasks into a sequence of future behaviors.
SyDeBO: Symbolic-Decision-Embedded Bilevel Optimization for Long-Horizon Manipulation in Dynamic Environments
This study proposes a Task and Motion Planning (TAMP) method with symbolic decisions embedded in a bilevel optimization.
Robotics
