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Datasets for large language models: A comprehensive survey
This paper embarks on an exploration into the Large Language Model (LLM) datasets,
which play a crucial role in the remarkable advancements of LLMs. The datasets serve as …
which play a crucial role in the remarkable advancements of LLMs. The datasets serve as …
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 …
Chameleon: Plug-and-play compositional reasoning with large language models
Large language models (LLMs) have achieved remarkable progress in solving various
natural language processing tasks due to emergent reasoning abilities. However, LLMs …
natural language processing tasks due to emergent reasoning abilities. However, LLMs …
Mathvista: Evaluating mathematical reasoning of foundation models in visual contexts
Large Language Models (LLMs) and Large Multimodal Models (LMMs) exhibit impressive
problem-solving skills in many tasks and domains, but their ability in mathematical …
problem-solving skills in many tasks and domains, but their ability in mathematical …
Augmented language models: a survey
This survey reviews works in which language models (LMs) are augmented with reasoning
skills and the ability to use tools. The former is defined as decomposing a potentially …
skills and the ability to use tools. The former is defined as decomposing a potentially …
Mathematical capabilities of chatgpt
We investigate the mathematical capabilities of two iterations of ChatGPT (released 9-
January-2023 and 30-January-2023) and of GPT-4 by testing them on publicly available …
January-2023 and 30-January-2023) and of GPT-4 by testing them on publicly available …
Leandojo: Theorem proving with retrieval-augmented language models
Large language models (LLMs) have shown promise in proving formal theorems using proof
assistants such as Lean. However, existing methods are difficult to reproduce or build on …
assistants such as Lean. However, existing methods are difficult to reproduce or build on …
Deepseekmath: Pushing the limits of mathematical reasoning in open language models
Mathematical reasoning poses a significant challenge for language models due to its
complex and structured nature. In this paper, we introduce DeepSeekMath 7B, which …
complex and structured nature. In this paper, we introduce DeepSeekMath 7B, which …
Toolqa: A dataset for llm question answering with external tools
Abstract Large Language Models (LLMs) have demonstrated impressive performance in
various NLP tasks, but they still suffer from challenges such as hallucination and weak …
various NLP tasks, but they still suffer from challenges such as hallucination and weak …
Pal: Program-aided language models
Large language models (LLMs) have demonstrated an impressive ability to perform
arithmetic and symbolic reasoning tasks, when provided with a few examples at test time (" …
arithmetic and symbolic reasoning tasks, when provided with a few examples at test time (" …