From the 1 of 7 linked papers with an AI index.
7 papers
CalibratedRubric: Task-Adaptive Rubric Banks for Open-Ended LLM Evaluation
Mengting Chen, Yanshu Sun, Wanting Liang +5
Reliable evaluation of open-ended LLM outputs requires fine-grained rubrics, yet expert curation is costly and difficult to scale. Existing automated pipelines rely on strict judge…
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…
FinResearchBench II: A Deep Research Benchmark with Consensus-Derived Gold Rubrics for Distinguishing Financial Report Quality
Beidi Luan, Rui Sun, Sinuo Wang +5
The paper introduces a scalable pipeline that automatically creates and evaluates rubrics for assessing the quality of long-form financial reports generated by deep research agents…
ContestTrade: A Multi-Agent Trading System Based on Internal Contest Mechanism
Rui Sun, Li Zhao, Zuoyou Jiang +5
In financial trading, large language model (LLM)-based agents demonstrate significant potential, but their decisions can be sensitive to noisy and non-stationary market information…
From Knowing to Doing: A Memory-Controlled Benchmark for LLM Trading Agents on Stock Markets
Taojie Zhu, Wentao Zhao, Rui Sun +7
Evaluating whether large language model (LLM) agents can profit in capital markets is increasingly framed as end-to-end trading: place an agent in a historical market, let it trade…
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,…