output
20212025
most citedFinRL-Podracer: High Performance and Scalable Deep Reinforcement Learning for Quantitative Finance

22 citations

7 papers

quant-ph2025★ 1 cited

Quantum state exclusion for group-generated ensembles of pure states

Arnau Diebra, Santiago Llorens, Emili Bagan +2

Quantum state exclusion is the task of determining which states from a given set a system was not prepared in. We provide a complete solution to optimal quantum state exclusion for…

cs.CL2024★ 1 cited

Golden Touchstone: A Comprehensive Bilingual Benchmark for Evaluating Financial Large Language Models

Xiaojun Wu, Junxi Liu, Huanyi Su +10

As large language models (LLMs) increasingly permeate the financial sector, there is a pressing need for a standardized method to comprehensively assess their performance. Existing…

cs.CL2024★ 2 cited

Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models

Yi Luo, Zhenghao Lin, Yuhao Zhang +7

Large Language Models (LLMs) exhibit impressive capabilities but also present risks such as biased content generation and privacy issues. One of the current alignment techniques in…

eess.AS2024

Revisiting proximity effect using broadband signals

Laurent Millot, Mohammed Elliq, Manuel Lopes +2

Experiments studying mainly proximity effect are presented. Pink noise and music were used as stimuli and a combo guitar amplifier as source to test several microphones: omnidirect…

eess.AS2024★ 1 cited

Using perceptive subbands analysis to perform audio scenes cartography

Laurent Millot, Gérard Pelé, Mohammed Elliq

Audio scene cartography for real or simulated stereo recordings is presented. This audio scene analysis is performed doing successively: a perceptive 10-subbands analysis, calculat…

eess.AS2024★ 1 cited

Listening broadband physical model for microphones: a first step

Laurent Millot, Antoine Valette, Manuel Lopes +3

We will present a first step in design of a broadband physical model for microphones. Within the proposed model, classical directivity patterns (omnidirectional, bidirectional and…

q-fin.CP2021★ 22 cited

FinRL-Podracer: High Performance and Scalable Deep Reinforcement Learning for Quantitative Finance

Zechu Li, Xiao-Yang Liu, Jiahao Zheng +3

Machine learning techniques are playing more and more important roles in finance market investment. However, finance quantitative modeling with conventional supervised learning app…