4 papers
GAUGE: Grading Agent-Built Financial Models Without a Golden Answer
Jiacheng Lu, Sinuo Wang, Wentao Zhao +12
Financial models combine public disclosures with analyst assumptions to produce forecasts and valuations. While some components can be checked mechanically, forecasts, discount rat…
Trade-R1: Bridging Verifiable Rewards to Stochastic Environments via Process-Level Reasoning Verification
Rui Sun, Yifan Sun, Sheng Xu +5
Reinforcement Learning (RL) has enabled Large Language Models (LLMs) to achieve remarkable reasoning in domains like mathematics and coding, where verifiable rewards provide clear…
Alpha-R1: Alpha Screening with LLM Reasoning via Reinforcement Learning
Zuoyou Jiang, Li Zhao, Rui Sun +6
Signal decay and regime shifts pose recurring challenges for data-driven investment strategies in non-stationary markets. Conventional time-series and machine learning approaches,…
LAVa: Layer-wise KV Cache Eviction with Dynamic Budget Allocation
Yiqun Shen, Song Yuan, Zhengze Zhang +3
KV Cache is commonly used to accelerate LLM inference with long contexts, yet its high memory demand drives the need for cache compression. Existing compression methods, however, a…