Genre
BEACON: Benchmark for Comprehensive RNA Tasks and Language Models
RNA plays a pivotal role in translating genetic instructions into functional outcomes, underscoring its importance in biological processes and disease mechanisms.
Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem
The joint decisions of the agents influence both individual rewards and the transition of the environment. MARL in general is occupied with leading the multi-agent system to a favorable outcome. Through the lens of game theory, the notion of a "favorable outcome" is formally defined through concepts like a Nash
Optimizing Prompts for Text-to-Image Generation Y aru Hao
Well-designed prompts can guide text-to-image models to generate amazing images.
CausalChaos for Comprehensive Causal Action Question Answering Over Longer Causal Chains Grounded in Dynamic Visual Scenes
Understanding the intricate motivations behind human actions is paramount in developing sophisticated systems capable of nuanced behavior analysis.
Collaborative Refining for Learning from Inaccurate Labels
For samples where some annotators disagree, a comparative strategy is proposed to filter noise.
StyleDrop: Text-to-Image Generation in Any Style Kihyuk Sohn Nataniel Ruiz Kimin Lee Daniel Castro Chin Irina Blok Huiwen Chang
Pre-trained large text-to-image models synthesize impressive images with an appropriate use of text prompts.
a8808b75b299d64a23255bc8d30fb786-Paper-Conference.pdf
Can a physicist make only a finite number of errors in the eternal quest to uncover the law of nature? This millennium-old philosophical problem, known as inductive inference, lies at the heart of epistemology.
