RTE
27 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in RTE
Most implemented papers
MEAL: Stable and Active Learning for Few-Shot Prompting
Few-shot classification has made great strides due to foundation models that, through priming and prompting, are highly effective few-shot learners.
Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning
Combining large language models with logical reasoning enhances their capacity to address problems in a robust and reliable manner.
DReg-NeRF: Deep Registration for Neural Radiance Fields
aibluefisher/dreg-nerf
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ICCV 2023
Although Neural Radiance Fields (NeRF) is popular in the computer vision community recently, registering multiple NeRFs has yet to gain much attention.
TechGPT-2.0: A large language model project to solve the task of knowledge graph construction
Large language models have exhibited robust performance across diverse natural language processing tasks.
When does word order matter and when doesn't it?
xdchen2/order
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Our results show the effect that the less informative word order is, the more consistent the model's predictions are between unscrambled and scrambled sentences.
