Education
Learning the Expected Core of Strictly Convex Stochastic Cooperative Games
Reward allocation, also known as the credit assignment problem, has been an important topic in economics, engineering, and machine learning.
Efficient multi-prompt evaluation of LLMs Felipe Maia Polo
Most popular benchmarks for comparing LLMs rely on a limited set of prompt templates, which may not fully capture the LLMs' abilities and can affect the
Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics Jonas Spinner
Extracting scientific understanding from particle-physics experiments requires solving diverse learning problems with high precision and good data efficiency. We propose the Lorentz Geometric Algebra Transformer (L-GA Tr), a new multipurpose architecture for high-energy physics.
Implicit Curriculum in Procgen Made Explicit Zhenxiong T an
Existing works mainly focus on arranging the levels to explicitly form a curriculum.
Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving
Metacognitive knowledge refers to humans' intuitive knowledge of their own thinking and reasoning processes. Today's best LLMs clearly possess some reasoning