New methods assess rankability of datasets for meaningful item rankings.
problem Rankability of data represented as graphs.
method New methods based on comparisons to a complete dominance graph.
result Efficient estimation of rankability measures.
On-device research index
arXiv research
A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.
168,657 papers · 148 categories
Trend · papers per month
3 results for “rankability”
Researchers improve Gaussian processes to model inconsistent preferences.
problem Model inconsistent preferences and clusters of comparable items.
method Generalized Gaussian processes with spectral decomposition and universal RKHS.
result Competitive with state-of-the-art methods on simulated and real-world data.
FinDPO: Financial Sentiment Analysis for Algorithmic Trading through Preference Optimization of LLMscs.CL
FinDPO uses preference optimization to improve financial sentiment analysis models.
problem Financial sentiment analysis models often fail to generalize to unseen data.
method FinDPO uses Direct Preference Optimization (DPO) to align LLMs with human preferences.
result FinDPO achieves state-of-the-art performance and maintains positive returns under realistic trading conditions.