עקוב אחר
Lingpeng Kong
Lingpeng Kong
Google DeepMind, The University of Hong Kong
כתובת אימייל מאומתת בדומיין cs.hku.hk - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
Random feature attention‏
H Peng, N Pappas, D Yogatama, R Schwartz, NA Smith, L Kong‏
arXiv preprint arXiv:2103.02143, 2021‏
3452021
A Dependency Parser for Tweets‏
L Kong, N Schneider, S Swayamdipta, A Bhatia, C Dyer, NA Smith‏
EMNLP 2014, 2014‏
2972014
Dynet: The dynamic neural network toolkit‏
G Neubig, C Dyer, Y Goldberg, A Matthews, W Ammar, A Anastasopoulos, ...‏
arXiv preprint arXiv:1701.03980, 2017‏
2782017
Diffuseq: Sequence to sequence text generation with diffusion models‏
S Gong, M Li, J Feng, Z Wu, LP Kong‏
arXiv preprint arXiv:2210.08933, 2022‏
2662022
Episodic memory in lifelong language learning‏
C de Masson D'Autume, S Ruder, L Kong, D Yogatama‏
Advances in Neural Information Processing Systems 32, 2019‏
2252019
cosformer: Rethinking softmax in attention‏
Z Qin, W Sun, H Deng, D Li, Y Wei, B Lv, J Yan, L Kong, Y Zhong‏
arXiv preprint arXiv:2202.08791, 2022‏
2192022
Unifiedskg: Unifying and multi-tasking structured knowledge grounding with text-to-text language models‏
T Xie, CH Wu, P Shi, R Zhong, T Scholak, M Yasunaga, CS Wu, M Zhong, ...‏
arXiv preprint arXiv:2201.05966, 2022‏
1952022
A contrastive framework for neural text generation‏
Y Su, T Lan, Y Wang, D Yogatama, L Kong, N Collier‏
Advances in Neural Information Processing Systems 35, 21548-21561, 2022‏
1832022
What do recurrent neural network grammars learn about syntax?‏
A Kuncoro, M Ballesteros, L Kong, C Dyer, G Neubig, NA Smith‏
arXiv preprint arXiv:1611.05774, 2016‏
1572016
Zerogen: Efficient zero-shot learning via dataset generation‏
J Ye, J Gao, Q Li, H Xu, J Feng, Z Wu, T Yu, L Kong‏
arXiv preprint arXiv:2202.07922, 2022‏
1512022
Segmental recurrent neural networks‏
L Kong, C Dyer, NA Smith‏
arXiv preprint arXiv:1511.06018, 2015‏
1332015
Audio–visual segmentation‏
J Zhou, J Wang, J Zhang, W Sun, J Zhang, S Birchfield, D Guo, L Kong, ...‏
European Conference on Computer Vision, 386-403, 2022‏
1302022
Adaptive semiparametric language models‏
D Yogatama, C de Masson d’Autume, L Kong‏
Transactions of the Association for Computational Linguistics 9, 362-373, 2021‏
1102021
Self-adaptive in-context learning: An information compression perspective for in-context example selection and ordering‏
Z Wu, Y Wang, J Ye, L Kong‏
arXiv preprint arXiv:2212.10375, 2022‏
1042022
Compositional exemplars for in-context learning‏
J Ye, Z Wu, J Feng, T Yu, L Kong‏
International Conference on Machine Learning, 39818-39833, 2023‏
912023
MIT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning‏
L Li, Y Yin, S Li, L Chen, P Wang, S Ren, M Li, Y Yang, J Xu, X Sun, ...‏
arXiv preprint arXiv:2306.04387, 2023‏
892023
Distilling an ensemble of greedy dependency parsers into one MST parser‏
A Kuncoro, M Ballesteros, L Kong, C Dyer, NA Smith‏
arXiv preprint arXiv:1609.07561, 2016‏
842016
Segmental recurrent neural networks for end-to-end speech recognition‏
L Lu, L Kong, C Dyer, NA Smith, S Renals‏
arXiv preprint arXiv:1603.00223, 2016‏
782016
Language models can see: Plugging visual controls in text generation‏
Y Su, T Lan, Y Liu, F Liu, D Yogatama, Y Wang, L Kong, N Collier‏
arXiv preprint arXiv:2205.02655, 2022‏
752022
A mutual information maximization perspective of language representation learning‏
L Kong, CM d'Autume, W Ling, L Yu, Z Dai, D Yogatama‏
arXiv preprint arXiv:1910.08350, 2019‏
742019
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מאמרים 1–20