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.
LightOn OPUs accelerate randomized numerical linear algebra, reducing computational costs.
A new algorithm reduces online exp-concave optimization runtime.
This research explores the effects of various training settings on a Polish to English Statistical Machine Translation system for spoken language. Various elements of the TED, Europarl, and OPUS parallel text corpora were used as the basis for training of language models, for development, tuning and testing of the tran…
This new research explores the effects of various training methods on a Polish to English Statistical Machine Translation system for medical texts. Various elements of the EMEA parallel text corpora from the OPUS project were used as the basis for training of phrase tables and language models and for development, tunin…
This research investigates the Statistical Machine Translation approaches to translate speech in real time automatically. Such systems can be used in a pipeline with speech recognition and synthesis software in order to produce a real-time voice communication system between foreigners. We obtained three main data sets …
Reasoning models outperform LLMs on CFA exams.
This paper evaluates LLMs for technical market analysis, finding GPT-4 Turbo and FinGPT outperform passive benchmarks.
eva method improves RL models by adaptively creating prompts, boosting performance.
FRA-Attack improves adversarial transferability for closed-source MLLMs by aligning visual focus across models.
New approach treats coordination as an architectural layer to improve LLM-based multi-agent systems.
LLMs struggle to optimize hyperparameters efficiently, but hybrid methods can improve performance.