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Pin-Jie Lin
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2020 – today
- 2024
- [c8]Pin-Jie Lin, Miaoran Zhang, Marius Mosbach, Dietrich Klakow:
Exploring the Effectiveness and Consistency of Task Selection in Intermediate-Task Transfer Learning. ACL (Student Research Workshop) 2024: 264-279 - [c7]Pin-Jie Lin, Merel C. J. Scholman, Muhammed Saeed, Vera Demberg:
Modeling Orthographic Variation Improves NLP Performance for Nigerian Pidgin. LREC/COLING 2024: 11510-11522 - [c6]Ernie Chang, Matteo Paltenghi, Yang Li, Pin-Jie Lin, Changsheng Zhao, Patrick Huber, Zechun Liu, Rastislav Rabatin, Yangyang Shi, Vikas Chandra:
Scaling Parameter-Constrained Language Models with Quality Data. EMNLP (Industry Track) 2024: 80-97 - [c5]Ernie Chang, Pin-Jie Lin, Yang Li, Changsheng Zhao, Daeil Kim, Rastislav Rabatin, Zechun Liu, Yangyang Shi, Vikas Chandra:
Target-Aware Language Modeling via Granular Data Sampling. EMNLP 2024: 12927-12935 - [c4]Ernie Chang, Sidd Srinivasan, Mahi Luthra, Pin-Jie Lin, Varun Nagaraja, Forrest N. Iandola, Zechun Liu, Zhaoheng Ni, Changsheng Zhao, Yangyang Shi, Vikas Chandra:
On the Open Prompt Challenge in Conditional Audio Generation. ICASSP 2024: 5315-5319 - [c3]Ernie Chang, Pin-Jie Lin, Yang Li, Sidd Srinivasan, Gaël Le Lan, David Kant, Yangyang Shi, Forrest N. Iandola, Vikas Chandra:
In-Context Prompt Editing for Conditional Audio Generation. ICASSP 2024: 5320-5324 - [i8]Pin-Jie Lin, Merel C. J. Scholman, Muhammed Saeed, Vera Demberg:
Modeling Orthographic Variation Improves NLP Performance for Nigerian Pidgin. CoRR abs/2404.18264 (2024) - [i7]Pin-Jie Lin, Miaoran Zhang, Marius Mosbach, Dietrich Klakow:
Exploring the Effectiveness and Consistency of Task Selection in Intermediate-Task Transfer Learning. CoRR abs/2407.16245 (2024) - [i6]Ernie Chang, Pin-Jie Lin, Yang Li, Changsheng Zhao, Daeil Kim, Rastislav Rabatin, Zechun Liu, Yangyang Shi, Vikas Chandra:
Target-Aware Language Modeling via Granular Data Sampling. CoRR abs/2409.14705 (2024) - [i5]Ernie Chang, Matteo Paltenghi, Yang Li, Pin-Jie Lin, Changsheng Zhao, Patrick Huber, Zechun Liu, Rastislav Rabatin, Yangyang Shi, Vikas Chandra:
Scaling Parameter-Constrained Language Models with Quality Data. CoRR abs/2410.03083 (2024) - 2023
- [c2]Ernie Chang, Muhammad Hassan Rashid, Pin-Jie Lin, Changsheng Zhao, Vera Demberg, Yangyang Shi, Vikas Chandra:
Revisiting Sample Size Determination in Natural Language Understanding. ACL (Findings) 2023: 6716-6724 - [c1]Pin-Jie Lin, Muhammed Saeed, Ernie Chang, Merel C. J. Scholman:
Low-Resource Cross-Lingual Adaptive Training for Nigerian Pidgin. INTERSPEECH 2023: 3954-3958 - [i4]Ernie Chang, Muhammad Hassan Rashid, Pin-Jie Lin, Changsheng Zhao, Vera Demberg, Yangyang Shi, Vikas Chandra:
Revisiting Sample Size Determination in Natural Language Understanding. CoRR abs/2307.00374 (2023) - [i3]Pin-Jie Lin, Muhammed Saeed, Ernie Chang, Merel C. J. Scholman:
Low-Resource Cross-Lingual Adaptive Training for Nigerian Pidgin. CoRR abs/2307.00382 (2023) - [i2]Ernie Chang, Pin-Jie Lin, Yang Li, Sidd Srinivasan, Gaël Le Lan, David Kant, Yangyang Shi, Forrest N. Iandola, Vikas Chandra:
In-Context Prompt Editing For Conditional Audio Generation. CoRR abs/2311.00895 (2023) - [i1]Ernie Chang, Sidd Srinivasan, Mahi Luthra, Pin-Jie Lin, Varun Nagaraja, Forrest N. Iandola, Zechun Liu, Zhaoheng Ni, Changsheng Zhao, Yangyang Shi, Vikas Chandra:
On The Open Prompt Challenge In Conditional Audio Generation. CoRR abs/2311.00897 (2023)
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