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PIQA: Reasoning about Physical Commonsense in Natural Language

PIQA: Reasoning about Physical Commonsense in Natural Language

26 November 2019
Yonatan Bisk
Rowan Zellers
Ronan Le Bras
Jianfeng Gao
Yejin Choi
    OODLRM
ArXiv (abs)PDFHTML

Papers citing "PIQA: Reasoning about Physical Commonsense in Natural Language"

50 / 1,393 papers shown
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Symbolic Discovery of Optimization Algorithms
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Offsite-Tuning: Transfer Learning without Full Model
Offsite-Tuning: Transfer Learning without Full Model
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Benchmarks for Automated Commonsense Reasoning: A Survey
Benchmarks for Automated Commonsense Reasoning: A Survey
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09 Feb 2023
A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on
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A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity
Yejin Bang
Samuel Cahyawijaya
Nayeon Lee
Wenliang Dai
Dan Su
...
Tiezheng Yu
Willy Chung
Quyet V. Do
Yan Xu
Pascale Fung
ReLMLRM
153
1,399
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08 Feb 2023
Chain of Hindsight Aligns Language Models with Feedback
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Carmelo Sferrazza
Pieter Abbeel
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139
124
0
06 Feb 2023
Learning the Effects of Physical Actions in a Multi-modal Environment
Learning the Effects of Physical Actions in a Multi-modal Environment
Gautier Dagan
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Can We Use Probing to Better Understand Fine-tuning and Knowledge
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Can We Use Probing to Better Understand Fine-tuning and Knowledge Distillation of the BERT NLU?
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Marcin Sowanski
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Artur Janicki
59
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Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware
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Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Communication Compression
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Jaewon Jung
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Lexi: Self-Supervised Learning of the UI Language
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Oriana Riva
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Why Can GPT Learn In-Context? Language Models Implicitly Perform
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Why Can GPT Learn In-Context? Language Models Implicitly Perform Gradient Descent as Meta-Optimizers
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Yutao Sun
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Y. Hao
Shuming Ma
Zhifang Sui
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The case for 4-bit precision: k-bit Inference Scaling Laws
The case for 4-bit precision: k-bit Inference Scaling Laws
Tim Dettmers
Luke Zettlemoyer
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112
234
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Reasoning with Language Model Prompting: A Survey
Reasoning with Language Model Prompting: A Survey
Shuofei Qiao
Yixin Ou
Ningyu Zhang
Xiang Chen
Yunzhi Yao
Shumin Deng
Chuanqi Tan
Fei Huang
Huajun Chen
ReLMELMLRM
232
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Rethinking the Role of Scale for In-Context Learning: An
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Structured Prompting: Scaling In-Context Learning to 1,000 Examples
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69
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