JockeyBench: Evaluating LLM Agents on Horse-Racing Decision-Making
Repeated event forecasting requires extracting predictive signals from noisy evidence and evaluating their value acro...
每天自动聚合 AI 领域最新动态
Repeated event forecasting requires extracting predictive signals from noisy evidence and evaluating their value acro...
Lyapunov functions and barrier certificates give state-space guarantees of stability and safety, but synthesizing and...
KANLab is a browser-based visualization tool designed to interactively teach the core concepts of Kolmogorov-Arnold N...
The life-cycle of robotics foundation models crucially depends on data labels. Outcome reward labels are needed for m...
Recent methods for injecting graph structure into LLM prompts include graph soft prompting, in which a graph neural n...
Generative reward models (GenRMs) generate natural language rationales to justify preference judgments, yet a correct...
In joint-embedding predictive architectures (JEPA), an encoder and a predictor are trained together to produce a repr...
When humans collaborate with AI agents on long-horizon tasks, what happens to the agents' contributions? For solving ...
Biometric authentication systems increasingly use privacy-preserving mechanisms to protect sensitive templates. Howev...
This work introduces PoKER, a novel probabilistic model engineered to optimize missile launch effectiveness in air-to...
Fine-tuning on datasets of unknown origin can create a backdoor in the trained model when the data includes poisoned ...
This paper proposes a five-level organization of message formation and understanding within thinking and activity in ...