Emerging materials intelligence ecosystems propelled by machine learning
The age of cognitive computing and artificial intelligence (AI) is just dawning. Inspired by its
successes and promises, several AI ecosystems are blossoming, many of them within the …
successes and promises, several AI ecosystems are blossoming, many of them within the …
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 …
Learn to explain: Multimodal reasoning via thought chains for science question answering
When answering a question, humans utilize the information available across different
modalities to synthesize a consistent and complete chain of thought (CoT). This process is …
modalities to synthesize a consistent and complete chain of thought (CoT). This process is …
Iconqa: A new benchmark for abstract diagram understanding and visual language reasoning
Current visual question answering (VQA) tasks mainly consider answering human-
annotated questions for natural images. However, aside from natural images, abstract …
annotated questions for natural images. However, aside from natural images, abstract …
Large language models for mathematical reasoning: Progresses and challenges
Mathematical reasoning serves as a cornerstone for assessing the fundamental cognitive
capabilities of human intelligence. In recent times, there has been a notable surge in the …
capabilities of human intelligence. In recent times, there has been a notable surge in the …
Inter-GPS: Interpretable geometry problem solving with formal language and symbolic reasoning
Geometry problem solving has attracted much attention in the NLP community recently. The
task is challenging as it requires abstract problem understanding and symbolic reasoning …
task is challenging as it requires abstract problem understanding and symbolic reasoning …
The gap of semantic parsing: A survey on automatic math word problem solvers
Solving mathematical word problems (MWPs) automatically is challenging, primarily due to
the semantic gap between human-readable words and machine-understandable logics …
the semantic gap between human-readable words and machine-understandable logics …
A causal framework to quantify the robustness of mathematical reasoning with language models
We have recently witnessed a number of impressive results on hard mathematical reasoning
problems with language models. At the same time, the robustness of these models has also …
problems with language models. At the same time, the robustness of these models has also …
Unigeo: Unifying geometry logical reasoning via reformulating mathematical expression
Geometry problem solving is a well-recognized testbed for evaluating the high-level multi-
modal reasoning capability of deep models. In most existing works, two main geometry …
modal reasoning capability of deep models. In most existing works, two main geometry …
A survey of reasoning with foundation models
Reasoning, a crucial ability for complex problem-solving, plays a pivotal role in various real-
world settings such as negotiation, medical diagnosis, and criminal investigation. It serves …
world settings such as negotiation, medical diagnosis, and criminal investigation. It serves …