A survey of deep learning for mathematical reasoning
Mathematical reasoning is a fundamental aspect of human intelligence and is applicable in
various fields, including science, engineering, finance, and everyday life. The development …
various fields, including science, engineering, finance, and everyday life. The development …
Program of thoughts prompting: Disentangling computation from reasoning for numerical reasoning tasks
Recently, there has been significant progress in teaching language models to perform step-
by-step reasoning to solve complex numerical reasoning tasks. Chain-of-thoughts prompting …
by-step reasoning to solve complex numerical reasoning tasks. Chain-of-thoughts prompting …
Revolutionizing finance with llms: An overview of applications and insights
In recent years, Large Language Models (LLMs) like ChatGPT have seen considerable
advancements and have been applied in diverse fields. Built on the Transformer …
advancements and have been applied in diverse fields. Built on the Transformer …
Pixiu: A large language model, instruction data and evaluation benchmark for finance
Q Xie, W Han, X Zhang, Y Lai, M Peng… - arXiv preprint arXiv …, 2023 - arxiv.org
Although large language models (LLMs) has shown great performance on natural language
processing (NLP) in the financial domain, there are no publicly available financial tailtored …
processing (NLP) in the financial domain, there are no publicly available financial tailtored …
Adapting large language models via reading comprehension
We explore how continued pre-training on domain-specific corpora influences large
language models, revealing that training on the raw corpora endows the model with domain …
language models, revealing that training on the raw corpora endows the model with domain …
Financebench: A new benchmark for financial question answering
P Islam, A Kannappan, D Kiela, R Qian… - arXiv preprint arXiv …, 2023 - arxiv.org
FinanceBench is a first-of-its-kind test suite for evaluating the performance of LLMs on open
book financial question answering (QA). It comprises 10,231 questions about publicly traded …
book financial question answering (QA). It comprises 10,231 questions about publicly traded …
AI for social science and social science of AI: A survey
Recent advancements in artificial intelligence, particularly with the emergence of large
language models (LLMs), have sparked a rethinking of artificial general intelligence …
language models (LLMs), have sparked a rethinking of artificial general intelligence …
Pixiu: A comprehensive benchmark, instruction dataset and large language model for finance
Q Xie, W Han, X Zhang, Y Lai, M Peng… - Advances in …, 2024 - proceedings.neurips.cc
Although large language models (LLMs) have shown great performance in natural language
processing (NLP) in the financial domain, there are no publicly available financially tailored …
processing (NLP) in the financial domain, there are no publicly available financially tailored …
Fineval: A chinese financial domain knowledge evaluation benchmark for large language models
L Zhang, W Cai, Z Liu, Z Yang, W Dai, Y Liao… - arXiv preprint arXiv …, 2023 - arxiv.org
Large language models (LLMs) have demonstrated exceptional performance in various
natural language processing tasks, yet their efficacy in more challenging and domain …
natural language processing tasks, yet their efficacy in more challenging and domain …
Chatqa: Building gpt-4 level conversational qa models
In this work, we introduce ChatQA, a family of conversational question answering (QA)
models that obtain GPT-4 level accuracies. Specifically, we propose a two-stage instruction …
models that obtain GPT-4 level accuracies. Specifically, we propose a two-stage instruction …