Papers Sports Understanding
“Sports Understanding” 태그가 달린 논문 11편 · 필터 해제
FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding
Figure skating, known as the "Art on Ice," is among the most artistic sports, challenging to understand due to its blend of technical elements (like jumps and spins) and overall artistic expression. Existing figure s…
Action RecognitionMultiple-choiceSports UnderstandingTowards Universal Soccer Video Understanding
As a globally celebrated sport, soccer has attracted widespread interest from fans all over the world. This paper aims to develop a comprehensive multi-modal framework for soccer video understanding. Specifically, we mak…
Action ClassificationSports UnderstandingVideo UnderstandingSPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models
Multimodal Large Language Models (MLLMs) are advancing the ability to reason about complex sports scenarios by integrating textual and visual information. To comprehensively evaluate their capabilities, we introduce SPOR…
Few-Shot LearningMultiple-choiceQuestion AnsweringSports UnderstandingSports Intelligence: Assessing the Sports Understanding Capabilities of Language Models through Question Answering from Text to Video
Understanding sports is crucial for the advancement of Natural Language Processing (NLP) due to its intricate and dynamic nature. Reasoning over complex sports scenarios has posed significant challenges to current NLP te…
BenchmarkingFew-Shot LearningQuestion AnsweringSports UnderstandingSportQA: A Benchmark for Sports Understanding in Large Language Models
A deep understanding of sports, a field rich in strategic and dynamic content, is crucial for advancing Natural Language Processing (NLP). This holds particular significance in the context of evaluating and advancing Lar…
Few-Shot LearningMultiple-choiceSports UnderstandingEstimating the age-conditioned average treatment effects curves: An application for assessing load-management strategies in the NBA
In the realm of competitive sports, understanding the performance dynamics of athletes, represented by the age curve (showing progression, peak, and decline), is vital. Our research introduces a novel framework for quant…
ManagementSports UnderstandingBloombergGPT: A Large Language Model for Finance
The use of NLP in the realm of financial technology is broad and complex, with applications ranging from sentiment analysis and named entity recognition to question answering. Large Language Models (LLMs) have been shown…
Causal JudgmentCommon Sense ReasoningDate UnderstandingDisambiguation QA+25Learning to Perform Complex Tasks through Compositional Fine-Tuning of Language Models
How to usefully encode compositional task structure has long been a core challenge in AI. Recent work in chain of thought prompting has shown that for very large neural language models (LMs), explicitly demonstrating the…
Sports UnderstandingDeepSportradar-v1: Computer Vision Dataset for Sports Understanding with High Quality Annotations
With the recent development of Deep Learning applied to Computer Vision, sport video understanding has gained a lot of attention, providing much richer information for both sport consumers and leagues. This paper introdu…
Camera CalibrationInstance SegmentationSemantic SegmentationSports Understanding+1Training Compute-Optimal Large Language Models
We investigate the optimal model size and number of tokens for training a transformer language model under a given compute budget. We find that current large language models are significantly undertrained, a consequence …
AnachronismsAnalogical SimilarityAnalytic EntailmentCausal Judgment+69Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Language modelling provides a step towards intelligent communication systems by harnessing large repositories of written human knowledge to better predict and understand the world. In this paper, we present an analysis o…
Abstract AlgebraAnachronismsAnalogical SimilarityAnalytic Entailment+143