Research
Papers and datasets worth knowing, ranked by significance and community attention.
A Comparative Study of Evaluation Metrics for Long-Document Financial Narrative Summarization with Transformers
In addition, we considered multiple evaluation metrics in order to investigate their differing behaviour and applicability on a dataset from the Financial Narrative Summarisation (FNS 2020) shared task, which is composed of annual reports published by firms listed on the London Stock Exchange and their corresponding summaries.
Same-Number Citation Swaps: Stress-Testing Jev as a Financial Evidence Judge
We evaluate what probabilistic evidence verification adds beyond number matching using Jev as a source-support verifier for GPT-4.1-mini calculation traces.
Scalable Regularized Vector Multiplicative Error Models for Positive-valued Financial Time Series
The logarithmic multiplicative error model (log-vMEM) has been useful in modeling and forecasting multivariate positive-valued financial time series.
Towards Financial World Modeling
First, we introduce Market-1T, a dataset containing nearly one trillion observations across U.S. equities from 2008 to 2025 at 1 Hz resolution.
TokenBank: Financial Infrastructure for AI Services
We present TokenBank, a financial infrastructure that represents these commitments through structured contracts.
Deep Learning vs. Statistical Models for Multi-Horizon Price Forecasting of Second-Hand Electronics: A Systematic Benchmark
This paper presents the first multi-horizon benchmark of statistical and deep learning forecasting models for used electronics price prediction.
Validity Without Ground Truth: What Stated-Preference Economics Offers the Evaluation of Language Models
We demonstrate the approach using a published water-quality stated preference economic valuation survey (Vossler et al. 2023) administered to six models.