Summary of Cp-detr: Concept Prompt Guide Detr Toward Stronger Universal Object Detection, by Qibo Chen et al.
CP-DETR: Concept Prompt Guide DETR Toward Stronger Universal Object Detectionby Qibo Chen, Weizhong Jin, Jianyue…
Summary of Tapeagents: a Holistic Framework For Agent Development and Optimization, by Dzmitry Bahdanau et al.
TapeAgents: a Holistic Framework for Agent Development and Optimizationby Dzmitry Bahdanau, Nicolas Gontier, Gabriel Huang,…
Summary of Exploring What Why and How: a Multifaceted Benchmark For Causation Understanding Of Video Anomaly, by Hang Du et al.
Exploring What Why and How: A Multifaceted Benchmark for Causation Understanding of Video Anomalyby Hang…
Summary of Dynamic Ensemble Reasoning For Llm Experts, by Jinwu Hu et al.
Dynamic Ensemble Reasoning for LLM Expertsby Jinwu Hu, Yufeng Wang, Shuhai Zhang, Kai Zhou, Guohao…
Summary of Anomalycontrol: Learning Cross-modal Semantic Features For Controllable Anomaly Synthesis, by Shidan He et al.
AnomalyControl: Learning Cross-modal Semantic Features for Controllable Anomaly Synthesisby Shidan He, Lei Liu, Shen ZhaoFirst…
Summary of Budgetfusion: Perceptually-guided Adaptive Diffusion Models, by Qinchan Li and Kenneth Chen et al.
BudgetFusion: Perceptually-Guided Adaptive Diffusion Modelsby Qinchan Li, Kenneth Chen, Changyue Su, Qi SunFirst submitted to…
Summary of A Survey on Uncertainty Quantification Of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions, by Ola Shorinwa et al.
A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future…
Summary of The Prompt Canvas: a Literature-based Practitioner Guide For Creating Effective Prompts in Large Language Models, by Michael Hewing and Vincent Leinhos
The Prompt Canvas: A Literature-Based Practitioner Guide for Creating Effective Prompts in Large Language Modelsby…
Summary of Multi-view Image Diffusion Via Coordinate Noise and Fourier Attention, by Justin Theiss et al.
Multi-view Image Diffusion via Coordinate Noise and Fourier Attentionby Justin Theiss, Norman Müller, Daeil Kim,…
Summary of Improving Linguistic Diversity Of Large Language Models with Possibility Exploration Fine-tuning, by Long Mai and Julie Carson-berndsen
Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuningby Long Mai, Julie Carson-BerndsenFirst…