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Approximate Qualitative Temporal Reasoning

Annals of Mathematics and Artificial Intelligence, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +3 more sources

Temporal Reasoning Transfer from Text to Video

International Conference on Learning Representations
Video Large Language Models (Video LLMs) have shown promising capabilities in video comprehension, yet they struggle with tracking temporal changes and reasoning about temporal relationships.
Lei Li   +8 more
semanticscholar   +1 more source

The Logical Approach to Temporal Reasoning

Artificial Intelligence Review, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +3 more sources

Vinoground: Scrutinizing LMMs over Dense Temporal Reasoning with Short Videos

arXiv.org
There has been growing sentiment recently that modern large multimodal models (LMMs) have addressed most of the key challenges related to short video comprehension.
Jianrui Zhang, Mu Cai, Yong Jae Lee
semanticscholar   +1 more source

Living in the Moment: Can Large Language Models Grasp Co-Temporal Reasoning?

Annual Meeting of the Association for Computational Linguistics
Temporal reasoning is fundamental for large language models (LLMs) to comprehend the world. Current temporal reasoning datasets are limited to questions about single or isolated events, falling short in mirroring the realistic temporal characteristics ...
Zhao-yu Su   +8 more
semanticscholar   +1 more source

Temporal Modeling and Temporal Reasoning

2010
In this chapter, the reader is guided through the basic notions of time and temporal information and is presented with some important, general approaches to represent and reason about temporal information. Simple medical examples are used to help the reader to understand the advantages and limitations of the different approaches.
Carlo Combi   +2 more
openaire   +1 more source

Timo: Towards Better Temporal Reasoning for Language Models

arXiv.org
Reasoning about time is essential for Large Language Models (LLMs) to understand the world. Previous works focus on solving specific tasks, primarily on time-sensitive question answering.
Zhao-yu Su   +6 more
semanticscholar   +1 more source

ReMEmbR: Building and Reasoning Over Long-Horizon Spatio-Temporal Memory for Robot Navigation

IEEE International Conference on Robotics and Automation
Navigating and understanding complex environments over extended periods of time is a significant challenge for robots. People interacting with the robot may want to ask questions like where something happened, when it occurred, or how long ago it took ...
Abrar Anwar   +4 more
semanticscholar   +1 more source

Coarse Correspondences Boost Spatial-Temporal Reasoning in Multimodal Language Model

Computer Vision and Pattern Recognition
Multimodal language models (MLLMs) are increasingly being applied in real-world environments, necessitating their ability to interpret 3D spaces and comprehend temporal dynamics.
Benlin Liu   +7 more
semanticscholar   +1 more source

Uncertantty in temporal representation and reasoning

International Journal of Computer Mathematics, 1999
The paper presents an approach of managing temporal knowledge under imprecision or uncertainty, based on possibility theory and fuzzy logic. Temporal uncertainties are modelled in terms of possibility theory with imprecise time instants, imprecise time intervals and imprecise time durations.
Ashis K. Pani, G. P. Bhattacharjee
openaire   +1 more source

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