Multi-task learning for natural language processing in the 2020s: where are we going?

22 July 2020

Papers citing "Multi-task learning for natural language processing in the 2020s: where are we going?"

28 / 28 papers shown

Title
Transfer Learning Study of Motion Transformer-based Trajectory Predictions Lars Ullrich Alex McMaster Knut Graichen 80 3 0 12 Apr 2024
Multi-Task Learning for Features Extraction in Financial Annual Reports Syrielle Montariol Matej Martinc Andraz Pelicon Senja Pollak Boshko Koloski Igor Loncarski Aljoša Valentinčič 26 3 0 08 Apr 2024
Learning to Maximize Mutual Information for Chain-of-Thought Distillation Xin Chen Hanxian Huang Yanjun Gao Yi Wang Jishen Zhao Ke Ding 97 15 0 05 Mar 2024
A Unified Causal View of Instruction Tuning Luyao Chen Wei Huang Ruqing Zhang Wei Chen Jiafeng Guo Xueqi Cheng 50 1 0 09 Feb 2024
OmniDialog: An Omnipotent Pre-training Model for Task-Oriented Dialogue System Mingtao Yang See-Kiong Ng Jinlan Fu 76 2 0 28 Dec 2023
Challenges and Opportunities of Using Transformer-Based Multi-Task Learning in NLP Through ML Lifecycle: A Survey Lovre Torbarina Tin Ferkovic Lukasz Roguski Velimir Mihelčić Bruno Šarlija Z. Kraljevic 59 5 0 16 Aug 2023
Mitigating Negative Transfer with Task Awareness for Sexism, Hate Speech, and Toxic Language Detection Angel Felipe Magnossão de Paula Paolo Rosso Damiano Spina 71 4 0 07 Jul 2023
Extending Memory for Language Modelling A. Nugaliyadde KELM CLL VLM 36 0 0 19 May 2023
Less is More: Selective Layer Finetuning with SubTuning Gal Kaplun Andrey Gurevich Tal Swisa Mazor David Shai Shalev-Shwartz Eran Malach 78 9 0 13 Feb 2023
A Survey on Arabic Named Entity Recognition: Past, Recent Advances, and Future Trends Xiaoye Qu Yingjie Gu Qingrong Xia Zechang Li Zhefeng Wang Baoxing Huai 80 20 0 07 Feb 2023
TCBERT: A Technical Report for Chinese Topic Classification BERT Ting Han Kunhao Pan Xinyu Chen Dingjie Song Yuchen Fan Xinyu Gao Ruyi Gan Jiaxing Zhang VLM 58 1 0 21 Nov 2022
Cold Start Streaming Learning for Deep Networks Cameron R. Wolfe Anastasios Kyrillidis CLL 50 2 0 09 Nov 2022
MVP: Multi-task Supervised Pre-training for Natural Language Generation Tianyi Tang Junyi Li Wayne Xin Zhao Ji-Rong Wen 109 24 0 24 Jun 2022
A Domain-adaptive Pre-training Approach for Language Bias Detection in News Jan-David Krieger Timo Spinde Terry Ruas Juhi Kulshrestha Bela Gipp AI4CE 85 21 0 22 May 2022
Explaining the Effectiveness of Multi-Task Learning for Efficient Knowledge Extraction from Spine MRI Reports Arijit Sehanobish M. Sandora Nabila Abraham Jayashri Pawar Danielle Torres Anasuya Das M. Becker Richard Herzog Benjamin Odry Ron Vianu 75 3 0 06 May 2022
Efficient Extraction of Pathologies from C-Spine Radiology Reports using Multi-Task Learning Arijit Sehanobish Nathaniel K. Brown Ishita Daga Jayashri Pawar Danielle Torres Anasuya Das M. Becker Richard Herzog Benjamin Odry Ron Vianu MedIm 57 2 0 09 Apr 2022
Bench-Marking And Improving Arabic Automatic Image Captioning Through The Use Of Multi-Task Learning Paradigm Muhy Eddin Za'ter Bashar Talafha VLM 50 2 0 11 Feb 2022
Generative multitask learning mitigates target-causing confounding Taro Makino Krzysztof J. Geras Kyunghyun Cho OOD 56 6 0 08 Feb 2022
New Tight Relaxations of Rank Minimization for Multi-Task Learning Wei Chang Feiping Nie Rong Wang Xuelong Li 46 5 0 09 Dec 2021
Learning to Transfer for Traffic Forecasting via Multi-task Learning Y. Lu AI4TS 73 7 0 27 Nov 2021
Finetuned Language Models Are Zero-Shot Learners Jason W. Wei Maarten Bosma Vincent Zhao Kelvin Guu Adams Wei Yu Brian Lester Nan Du Andrew M. Dai Quoc V. Le ALM UQCV 283 3,801 0 03 Sep 2021
MEDIC: A Multi-Task Learning Dataset for Disaster Image Classification Firoj Alam Tanvirul Alam Md. Arid Hasan A. Hasnat Muhammad Imran Ferda Ofli VLM 117 53 0 29 Aug 2021
AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing Katikapalli Subramanyam Kalyan A. Rajasekharan S. Sangeetha VLM LM&MA 103 270 0 12 Aug 2021
Greedy-layer Pruning: Speeding up Transformer Models for Natural Language Processing David Peer Sebastian Stabinger Stefan Engl A. Rodríguez-Sánchez 29 28 0 31 May 2021
Learning to Bridge Metric Spaces: Few-shot Joint Learning of Intent Detection and Slot Filling Yutai Hou Y. Lai Cheng Chen Wanxiang Che Ting Liu 61 14 0 25 May 2021
WASSA@IITK at WASSA 2021: Multi-task Learning and Transformer Finetuning for Emotion Classification and Empathy Prediction Jay Mundra Rohan Gupta Sagnik Mukherjee 32 14 0 20 Apr 2021
FewJoint: A Few-shot Learning Benchmark for Joint Language Understanding Yutai Hou Jiafeng Mao Y. Lai Cheng Chen Wanxiang Che Zhigang Chen Ting Liu 74 16 0 17 Sep 2020
MT-Clinical BERT: Scaling Clinical Information Extraction with Multitask Learning Andriy Mulyar Bridget T. McInnes 71 56 0 21 Apr 2020