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Song, Haochen
94
results:
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1
Fine-grained weed recognition using Swin Transformer and tw..:
Wang, Yecheng
;
Zhang, Shuangqing
;
Dai, Baisheng
..
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10040655/. , 2023
Link:
http://www.ncbi.nlm.nih...
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2
Informing Users about Data Imputation: Exploring the Design..:
Bhattacharjee, Ananya
;
Song, Haochen
;
Wu, Xuening
...
info:eu-repo/semantics/altIdentifier/isbn/978-1-57735-884-8. , 2023
Link:
https://hdl.handle.net/1..
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3
Algorithms for Adaptive Experiments that Trade-off Statisti..:
Li, Tong
;
Nogas, Jacob
;
Song, Haochen
...
http://arxiv.org/abs/2112.08507. , 2021
Link:
http://arxiv.org/abs/211..
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4
Fine-grained weed recognition using Swin Transformer and tw..:
Yecheng Wang
;
Shuangqing Zhang
;
Baisheng Dai
..
https://www.frontiersin.org/articles/10.3389/fpls.2023.1134932/full. , 2023
Link:
https://doi.org/10.3389/..
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5
DataSheet_1_Fine-grained weed recognition using Swin Transf..:
Yecheng Wang
;
Shuangqing Zhang
;
Baisheng Dai
..
doi:10.3389/fpls.2023.1134932.s001. , 2023
Link:
https://doi.org/10.3389/..
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6
CANDLE: Iterative Conceptualization and Instantiation Disti..:
Wang, Weiqi
;
Fang, Tianqing
;
Li, Chunyang
...
http://arxiv.org/abs/2401.07286. , 2024
Link:
http://arxiv.org/abs/240..
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7
PROXYQA: An Alternative Framework for Evaluating Long-Form ..:
Tan, Haochen
;
Guo, Zhijiang
;
Shi, Zhan
...
http://arxiv.org/abs/2401.15042. , 2024
Link:
http://arxiv.org/abs/240..
?
8
Knowledge Editing for Large Language Models: A Survey:
Wang, Song
;
Zhu, Yaochen
;
Liu, Haochen
...
http://arxiv.org/abs/2310.16218. , 2023
Link:
http://arxiv.org/abs/231..
?
9
Learning Domain-Aware Detection Head with Prompt Tuning:
Li, Haochen
;
Zhang, Rui
;
Yao, Hantao
...
http://arxiv.org/abs/2306.05718. , 2023
Link:
http://arxiv.org/abs/230..
?
10
AbsPyramid: Benchmarking the Abstraction Ability of Languag..:
Wang, Zhaowei
;
Shi, Haochen
;
Wang, Weiqi
...
http://arxiv.org/abs/2311.09174. , 2023
Link:
http://arxiv.org/abs/231..
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11
VCSUM: A Versatile Chinese Meeting Summarization Dataset:
Wu, Han
;
Zhan, Mingjie
;
Tan, Haochen
...
http://arxiv.org/abs/2305.05280. , 2023
Link:
http://arxiv.org/abs/230..
?
12
QADYNAMICS: Training Dynamics-Driven Synthetic QA Diagnosti..:
Shi, Haochen
;
Wang, Weiqi
;
Fang, Tianqing
...
http://arxiv.org/abs/2310.11303. , 2023
Link:
http://arxiv.org/abs/231..
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13
Reconstruct Before Summarize: An Efficient Two-Step Framewo..:
Tan, Haochen
;
Wu, Han
;
Shao, Wei
...
http://arxiv.org/abs/2305.07988. , 2023
Link:
http://arxiv.org/abs/230..
?
14
TILFA: A Unified Framework for Text, Image, and Layout Fusi..:
Zong, Qing
;
Wang, Zhaowei
;
Xu, Baixuan
...
http://arxiv.org/abs/2310.05210. , 2023
Link:
http://arxiv.org/abs/231..
?
15
Open X-Embodiment: Robotic Learning Datasets and RT-X Model:
Collaboration, Open X-Embodiment
;
Padalkar, Abhishek
;
Pooley, Acorn
...
http://arxiv.org/abs/2310.08864. , 2023
Link:
http://arxiv.org/abs/231..
1-15