Summary of Is It Really Long Context If All You Need Is Retrieval? Towards Genuinely Difficult Long Context Nlp, by Omer Goldman et al.
Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long…
Summary of Pflfe: Cross-silo Personalized Federated Learning Via Feature Enhancement on Medical Image Segmentation, by Luyuan Xie et al.
pFLFE: Cross-silo Personalized Federated Learning via Feature Enhancement on Medical Image Segmentationby Luyuan Xie, Manqing…
Summary of Biokgbench: a Knowledge Graph Checking Benchmark Of Ai Agent For Biomedical Science, by Xinna Lin et al.
BioKGBench: A Knowledge Graph Checking Benchmark of AI Agent for Biomedical Scienceby Xinna Lin, Siqi…
Summary of Beyond Human Preferences: Exploring Reinforcement Learning Trajectory Evaluation and Improvement Through Llms, by Zichao Shen et al.
Beyond Human Preferences: Exploring Reinforcement Learning Trajectory Evaluation and Improvement through LLMsby Zichao Shen, Tianchen…
Summary of Deep Fusion Model For Brain Tumor Classification Using Fine-grained Gradient Preservation, by Niful Islam et al.
Deep Fusion Model for Brain Tumor Classification Using Fine-Grained Gradient Preservationby Niful Islam, Mohaiminul Islam…
Summary of Disco: Efficient Diffusion Solver For Large-scale Combinatorial Optimization Problems, by Kexiong Yu et al.
DISCO: Efficient Diffusion Solver for Large-Scale Combinatorial Optimization Problemsby Kexiong Yu, Hang Zhao, Yuhang Huang,…
Summary of Mimicmotion: High-quality Human Motion Video Generation with Confidence-aware Pose Guidance, by Yuang Zhang et al.
MimicMotion: High-Quality Human Motion Video Generation with Confidence-aware Pose Guidanceby Yuang Zhang, Jiaxi Gu, Li-Wen…
Summary of Uncertainty Quantification in Large Language Models Through Convex Hull Analysis, by Ferhat Ozgur Catak and Murat Kuzlu
Uncertainty Quantification in Large Language Models Through Convex Hull Analysisby Ferhat Ozgur Catak, Murat KuzluFirst…
Summary of Structure-aware World Model For Probe Guidance Via Large-scale Self-supervised Pre-train, by Haojun Jiang et al.
Structure-aware World Model for Probe Guidance via Large-scale Self-supervised Pre-trainby Haojun Jiang, Meng Li, Zhenguo…
Summary of Xsemad: Explainable Semantic Anomaly Detection in Event Logs Using Sequence-to-sequence Models, by Kiran Busch et al.
xSemAD: Explainable Semantic Anomaly Detection in Event Logs Using Sequence-to-Sequence Modelsby Kiran Busch, Timotheus Kampik,…