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2004.12302
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MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization
Annual Meeting of the Association for Computational Linguistics (ACL), 2020
26 April 2020
Canwen Xu
Jiaxin Pei
Hongtao Wu
Yiyu Liu
Chenliang Li
MLLM
VLM
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Papers citing
"MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization"
12 / 12 papers shown
NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Peng Liu
Lemei Zhang
Terje Nissen Farup
Even W. Lauvrak
Jon Espen Ingvaldsen
Simen Eide
J. Gulla
Zhirong Yang
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03 Dec 2023
A Comprehensive Overview of Large Language Models
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2023
Humza Naveed
Asad Ullah Khan
Shi Qiu
Muhammad Saqib
Saeed Anwar
Muhammad Usman
Naveed Akhtar
Nick Barnes
Lin Wang
OffRL
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12 Jul 2023
CARE-MI: Chinese Benchmark for Misinformation Evaluation in Maternity and Infant Care
Neural Information Processing Systems (NeurIPS), 2023
Tong Xiang
Liangzhi Li
Wangyue Li
Min‐Jun Bai
Lu Wei
Bowen Wang
Noa Garcia
402
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04 Jul 2023
VLUE: A Multi-Task Benchmark for Evaluating Vision-Language Models
Wangchunshu Zhou
Yan Zeng
Shizhe Diao
Xinsong Zhang
CoGe
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353
14
0
30 May 2022
SkillNet-NLG: General-Purpose Natural Language Generation with a Sparsely Activated Approach
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Junwei Liao
Duyu Tang
Fan Zhang
Shuming Shi
MoE
145
5
0
26 Apr 2022
QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension
ACM Computing Surveys (CSUR), 2021
Anna Rogers
Matt Gardner
Isabelle Augenstein
487
194
0
27 Jul 2021
ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation
Yu Sun
Shuohuan Wang
Shikun Feng
Siyu Ding
Chao Pang
...
Ouyang Xuan
Dianhai Yu
Hao Tian
Hua Wu
Haifeng Wang
302
584
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05 Jul 2021
Reinforcement Learning for Abstractive Question Summarization with Question-aware Semantic Rewards
Annual Meeting of the Association for Computational Linguistics (ACL), 2021
S. Yadav
D. Gupta
Asma Ben Abacha
Dina Demner-Fushman
OffRL
270
43
0
01 Jul 2021
ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation
Annual Meeting of the Association for Computational Linguistics (ACL), 2021
Weizhen Qi
Yeyun Gong
Yu Yan
Can Xu
Bolun Yao
...
Daxin Jiang
Jiusheng Chen
Ruofei Zhang
Houqiang Li
Nan Duan
262
55
0
16 Apr 2021
Blow the Dog Whistle: A Chinese Dataset for Cant Understanding with Common Sense and World Knowledge
North American Chapter of the Association for Computational Linguistics (NAACL), 2021
Canwen Xu
Wangchunshu Zhou
Tao Ge
Ke Xu
Julian McAuley
Furu Wei
199
17
0
06 Apr 2021
Multi-document Summarization via Deep Learning Techniques: A Survey
Congbo Ma
W. Zhang
Mingyu Guo
Hu Wang
Quan Z. Sheng
487
159
0
10 Nov 2020
Machine Reading Comprehension: The Role of Contextualized Language Models and Beyond
Zhuosheng Zhang
Hai Zhao
Rui Wang
239
66
0
13 May 2020
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