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PhysNLU: A Language Resource for Evaluating Natural Language
  Understanding and Explanation Coherence in Physics

PhysNLU: A Language Resource for Evaluating Natural Language Understanding and Explanation Coherence in Physics

12 January 2022
Jordan Meadows
Zili Zhou
André Freitas
    AIMat
ArXivPDFHTML

Papers citing "PhysNLU: A Language Resource for Evaluating Natural Language Understanding and Explanation Coherence in Physics"

2 / 2 papers shown
Title
MathBERT: A Pre-Trained Model for Mathematical Formula Understanding
MathBERT: A Pre-Trained Model for Mathematical Formula Understanding
Shuai Peng
Ke Yuan
Liangcai Gao
Zhi Tang
AIMat
49
105
0
02 May 2021
Megatron-LM: Training Multi-Billion Parameter Language Models Using
  Model Parallelism
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
M. Shoeybi
M. Patwary
Raul Puri
P. LeGresley
Jared Casper
Bryan Catanzaro
MoE
245
1,833
0
17 Sep 2019
1