متابعة
Graham Neubig
Graham Neubig
Carnegie Mellon University, All Hands AI
بريد إلكتروني تم التحقق منه على cs.cmu.edu - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing‏
P Liu, W Yuan, J Fu, Z Jiang, H Hayashi, G Neubig‏
ACM Computing Surveys, 2021‏
50212021
How can we know what language models know?‏
Z Jiang, FF Xu, J Araki, G Neubig‏
TACL 8, 423-438, 2020‏
14662020
NusaCrowd: Open source initiative for Indonesian NLP resources‏
S Cahyawijaya, H Lovenia, AF Aji, G Winata, B Wilie, F Koto, R Mahendra, ...‏
Findings of the Association for Computational Linguistics: ACL 2023, 13745-13818, 2023‏
11612023
Are Sixteen Heads Really Better than One?‏
P Michel, O Levy, G Neubig‏
NeurIPS 2019, 2019‏
11542019
Towards a unified view of parameter-efficient transfer learning‏
J He, C Zhou, X Ma, T Berg-Kirkpatrick, G Neubig‏
ICLR 2022, 2022‏
9732022
XTREME: A massively multilingual multi-task benchmark for evaluating cross-lingual generalization‏
J Hu, S Ruder, A Siddhant, G Neubig, O Firat, M Johnson‏
ICML 2020, 2020‏
9622020
A Syntactic Neural Model for General-Purpose Code Generation‏
P Yin, G Neubig‏
ACL 2017, 2017‏
8322017
BARTScore: Evaluating Generated Text as Text Generation‏
W Yuan, G Neubig, P Liu‏
NeurIPS 2021, 2021‏
7972021
PAL: Program-aided Language Models‏
L Gao, A Madaan, S Zhou, U Alon, P Liu, Y Yang, J Callan, G Neubig‏
ICML 2023, 2022‏
7362022
A Systematic Evaluation of Large Language Models of Code‏
FF Xu, U Alon, G Neubig, VJ Hellendoorn‏
ICLR DL4C Workshop, 2022‏
6982022
TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data‏
P Yin, G Neubig, W Yih, S Riedel‏
ACL 2020, 2020‏
6082020
Weight Poisoning Attacks on Pre-trained Models‏
K Kurita, P Michel, G Neubig‏
ACL 2020, 2020‏
4612020
Dynet: The dynamic neural network toolkit‏
G Neubig, C Dyer, Y Goldberg, A Matthews, W Ammar, A Anastasopoulos, ...‏
arXiv preprint arXiv:1701.03980, 2017‏
460*2017
When and Why are Pre-trained Word Embeddings Useful for Neural Machine Translation?‏
Y Qi, DS Sachan, M Felix, SJ Padmanabhan, G Neubig‏
NAACL 2018, 2018‏
4342018
Active retrieval augmented generation‏
Z Jiang, FF Xu, L Gao, Z Sun, Q Liu, J Dwivedi-Yu, Y Yang, J Callan, ...‏
EMNLP 2023, 2023‏
4192023
Stress Test Evaluation for Natural Language Inference‏
A Naik, A Ravichander, N Sadeh, C Rose, G Neubig‏
COLING 2018, 2018‏
4012018
Competence-based Curriculum Learning for Neural Machine Translation‏
EA Platanios, O Stretcu, G Neubig, B Poczos, TM Mitchell‏
NAACL 2019, 2019‏
3952019
Learning to generate pseudo-code from source code using statistical machine translation (t)‏
Y Oda, H Fudaba, G Neubig, H Hata, S Sakti, T Toda, S Nakamura‏
ASE 2015, 574-584, 2015‏
3842015
How Can We Know When Language Models Know? On the Calibration of Language Models for Question Answering‏
Z Jiang, J Araki, H Ding, G Neubig‏
Transactions of the Association for Computational Linguistics 9, 962-977, 2021‏
3722021
Pointwise prediction for robust, adaptable Japanese morphological analysis‏
G Neubig, Y Nakata, S Mori‏
ACL 2011, 529-533, 2011‏
3592011
يتعذر على النظام إجراء العملية في الوقت الحالي. عاود المحاولة لاحقًا.
مقالات 1–20