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Song, Haochen
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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..
 
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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..
 
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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..
 
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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..
 
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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..
 
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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..
 
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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..
 
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