13 citations · 15 across the 5 of their papers we have counts for
5 papers
AlphaForgeBench: Benchmarking End-to-End Trading Strategy Design with Large Language Models
Wentao Zhang, Mingxuan Zhao, Jincheng Gao +5
The rapid advancement of Large Language Models (LLMs) has led to a surge of financial benchmarks, evolving from static knowledge evaluation toward interactive trading simulations.…
Group-Theoretic Reinforcement Learning of Dynamical Decoupling Sequences
Charles Marrder, Shuo Sun, Murray J. Holland
Dynamical decoupling seeks to mitigate phase decoherence in qubits by applying a carefully designed sequence of effectively instantaneous electromagnetic pulses. Although analytic…
Generalization of RLVR Using Causal Reasoning as a Testbed
Brian Lu, Hongyu Zhao, Shuo Sun +3
Reinforcement learning with verifiable rewards (RLVR) has emerged as a promising paradigm for post-training large language models (LLMs) on complex reasoning tasks. Yet, the condit…
An Investigation of Prompt Variations for Zero-shot LLM-based Rankers
Shuoqi Sun, Shengyao Zhuang, Shuai Wang +1
We provide a systematic understanding of the impact of specific components and wordings used in prompts on the effectiveness of rankers based on zero-shot Large Language Models (LL…
Value Functions for Depth-Limited Solving in Zero-Sum Imperfect-Information Games
Vojtěch Kovařík, Dominik Seitz, Viliam Lisý +3
We provide a formal definition of depth-limited games together with an accessible and rigorous explanation of the underlying concepts, both of which were previously missing in impe…