PIQA
5 papers with code • 1 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in PIQA
| Trend | Dataset | Best Model | Paper | Code | Compare |
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BIG-bench
Most implemented papers
PIQA: Reasoning about Physical Commonsense in Natural Language
Questions requiring this kind of physical commonsense pose a challenge to today's natural language understanding systems.
Phrase-Indexed Question Answering: A New Challenge for Scalable Document Comprehension
uwnlp/piqa
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EMNLP 2018
We formalize a new modular variant of current question answering tasks by enforcing complete independence of the document encoder from the question encoder.
UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark
allenai/rainbow
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First, we propose a new multitask benchmark, RAINBOW, to promote research on commonsense models that generalize well over multiple tasks and datasets.
Identify, Align, and Integrate: Matching Knowledge Graphs to Commonsense Reasoning Tasks
lbauer6/IdentifyAlignIntegrate
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EACL 2021
For knowledge integration to yield peak performance, it is critical to select a knowledge graph (KG) that is well-aligned with the given task's objective.
VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer
zinengtang/VidLanKD
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NeurIPS 2021
We train a multi-modal teacher model on a video-text dataset, and then transfer its knowledge to a student language model with a text dataset.
