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大型语言模型 (Chinese Wikipedia)

Analysis of information sources in references of the Wikipedia article "大型语言模型" in Chinese language version.

refsWebsite
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49web.archive.org
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36arxiv.org
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25doi.org
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6aclanthology.org
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5neurips.cc
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5worldcat.org
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5rgdoi.net
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5openai.com
1,559th place
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3semanticscholar.org
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2harvard.edu
18th place
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2mit.edu
415th place
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2unite.ai
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2openreview.net
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2springer.com
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2jalammar.github.io
low place
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2archive.today
14th place
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2stanford.edu
179th place
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2mlr.press
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2nytimes.com
7th place
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2techcrunch.com
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1eswc-conferences.org
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1amacad.org
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1ieee.org
652nd place
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1theguardian.com
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1euronews.com
612th place
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1technologyreview.com
1,943rd place
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1ourworldindata.org
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1huggingface.co
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1venturebeat.com
616th place
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1nvidia.com
2,503rd place
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1llmbook-zh.github.io
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1yenniejun.com
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1towardsdatascience.com
8,920th place
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1blog.google
2,218th place
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1anthropic.com
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1researchgate.net
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1theregister.com
3,700th place
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1ibm.com
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1meta.com
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1nature.com
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1thecvf.com
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1youtube.com
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1acm.org
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1mittrchina.com
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1thepaper.cn
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aclanthology.org (Global: low place; Chinese: low place)

acm.org (Global: 1,185th place; Chinese: 809th place)

dl.acm.org

amacad.org (Global: 3,464th place; Chinese: 5,489th place)

anthropic.com (Global: low place; Chinese: low place)

archive.today (Global: 14th place; Chinese: 18th place)

arxiv.org (Global: 69th place; Chinese: 254th place)

  • Bommasani, Rishi; Hudson, Drew A.; Adeli, Ehsan; Altman, Russ; Arora, Simran; von Arx, Matthew; Bernstein, Michael S.; Bohg, Jeannette; Bosselut, Antoine; Brunskill, Emma. On the Opportunities and Risks of Foundation Models. 2021. arXiv:2108.07258 可免费查阅. 
  • Brown, Tom B.; Mann, Benjamin; Ryder, Nick; Subbiah, Melanie; Kaplan, Jared; Dhariwal, Prafulla; Neelakantan, Arvind; Shyam, Pranav; Sastry, Girish; Askell, Amanda. Language Models are Few-Shot Learners. 2020. arXiv:2005.14165 可免费查阅 [cs.CL]. 
  • Kaplan, Jared; McCandlish, Sam; Henighan, Tom; Brown, Tom B.; Chess, Benjamin; Child, Rewon; Gray, Scott; Radford, Alec; Wu, Jeffrey; Amodei, Dario. Scaling Laws for Neural Language Models. 2020. arXiv:2001.08361 可免费查阅 [cs.LG]. 
  • Brown, Tom B.; Mann, Benjamin; Ryder, Nick; Subbiah, Melanie; Kaplan, Jared; Dhariwal, Prafulla; Neelakantan, Arvind; Shyam, Pranav; Sastry, Girish; Askell, Amanda; Agarwal, Sandhini; Herbert-Voss, Ariel; Krueger, Gretchen; Henighan, Tom; Child, Rewon; Ramesh, Aditya; Ziegler, Daniel M.; Wu, Jeffrey; Winter, Clemens; Hesse, Christopher; Chen, Mark; Sigler, Eric; Litwin, Mateusz; Gray, Scott; Chess, Benjamin; Clark, Jack; Berner, Christopher; McCandlish, Sam; Radford, Alec; Sutskever, Ilya; Amodei, Dario. Larochelle, H.; Ranzato, M.; Hadsell, R.; Balcan, M.F.; Lin, H. , 编. Language Models are Few-Shot Learners (PDF). Advances in Neural Information Processing Systems (Curran Associates, Inc.). Dec 2020, 33: 1877–1901 [2023-03-14]. arXiv:2005.14165 可免费查阅. doi:10.1145/3582269.3615599. （原始内容存档 (PDF)于2023-11-17）. 
  • Devlin, Jacob; Chang, Ming-Wei; Lee, Kenton; Toutanova, Kristina. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. 2018. arXiv:1810.04805 可免费查阅 [cs.CL]. 
  • Goodman, Joshua, A Bit of Progress in Language Modeling, 2001-08-09, Bibcode:2001cs........8005G, arXiv:cs/0108005 可免费查阅 
  • Bahdanau, Dzmitry; Cho, Kyunghyun; Bengio, Yoshua. Neural Machine Translation by Jointly Learning to Align and Translate. 2014. arXiv:1409.0473 可免费查阅 [cs.CL]. 
  • Rogers, Anna; Kovaleva, Olga; Rumshisky, Anna. A Primer in BERTology: What We Know About How BERT Works. Transactions of the Association for Computational Linguistics. 2020, 8: 842–866 [2024-01-21]. S2CID 211532403. arXiv:2002.12327 可免费查阅. doi:10.1162/tacl_a_00349. （原始内容存档于2022-04-03）. 
  • Movva, Rajiv; Balachandar, Sidhika; Peng, Kenny; Agostini, Gabriel; Garg, Nikhil; Pierson, Emma. Topics, Authors, and Institutions in Large Language Model Research: Trends from 17K arXiv Papers. Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). 2024: 1223–1243 [2024-12-08]. arXiv:2307.10700 可免费查阅. doi:10.18653/v1/2024.naacl-long.67. （原始内容存档于2025-04-12）. 
  • Movva, Rajiv; Balachandar, Sidhika; Peng, Kenny; Agostini, Gabriel; Garg, Nikhil; Pierson, Emma. Topics, Authors, and Institutions in Large Language Model Research: Trends from 17K arXiv Papers. Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). 2024: 1223–1243 [2024-12-08]. arXiv:2307.10700 可免费查阅. doi:10.18653/v1/2024.naacl-long.67. （原始内容存档于2025-04-12）. 
  • Peng, Bo; et al. RWKV: Reinventing RNNS for the Transformer Era. 2023. arXiv:2305.13048 可免费查阅 [cs.CL]. 
  • Gu, Albert; Dao, Tri, Mamba: Linear-Time Sequence Modeling with Selective State Spaces, 2023-12-01, arXiv:2312.00752 可免费查阅 
  • Petrov, Aleksandar; Malfa, Emanuele La; Torr, Philip; Bibi, Adel. Language Model Tokenizers Introduce Unfairness Between Languages. NeurIPS. June 23, 2023 [September 16, 2023]. arXiv:2305.15425 可免费查阅. （原始内容存档于December 15, 2023） –通过openreview.net. 
  • Kaushal, Ayush; Mahowald, Kyle, What do tokens know about their characters and how do they know it?, 2022-06-06, arXiv:2206.02608 可免费查阅 
  • Petrov, Aleksandar; Emanuele La Malfa; Torr, Philip H. S.; Bibi, Adel. Language Model Tokenizers Introduce Unfairness Between Languages. 2023. arXiv:2305.15425 可免费查阅 [cs.CL]. 
  • Dodge, Jesse; Sap, Maarten; Marasović, Ana; Agnew, William; Ilharco, Gabriel; Groeneveld, Dirk; Mitchell, Margaret; Gardner, Matt. Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus. 2021. arXiv:2104.08758 可免费查阅 [cs.CL]. 
  • Li, Yuanzhi; Bubeck, Sébastien; Eldan, Ronen; Del Giorno, Allie; Gunasekar, Suriya; Lee, Yin Tat, Textbooks Are All You Need II: phi-1.5 technical report, 2023-09-11, arXiv:2309.05463 可免费查阅 
  • Lin, Zhenghao; Gou, Zhibin; Gong, Yeyun; Liu, Xiao; Shen, Yelong; Xu, Ruochen; Lin, Chen; Yang, Yujiu; Jiao, Jian. Rho-1: Not All Tokens Are What You Need. 2024-04-11. arXiv:2404.07965 可免费查阅 [cs.CL]. 
  • Brown, Tom B.; et al. Language Models are Few-Shot Learners. 2020. arXiv:2005.14165 可免费查阅 [cs.CL]. 
  • Abdin, Marah; Jacobs, Sam Ade; Awan, Ammar Ahmad; Aneja, Jyoti; Awadallah, Ahmed; Awadalla, Hany; Bach, Nguyen; Bahree, Amit; Bakhtiari, Arash. Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone. 2024-04-23. arXiv:2404.14219 可免费查阅 [cs.CL]. 
  • Zaib, Munazza; Sheng, Quan Z.; Emma Zhang, Wei. A Short Survey of Pre-trained Language Models for Conversational AI-A New Age in NLP. Proceedings of the Australasian Computer Science Week Multiconference. 4 February 2020: 1–4. ISBN 9781450376976. S2CID 211040895. arXiv:2104.10810 可免费查阅. doi:10.1145/3373017.3373028. 
  • Shazeer, Noam; Mirhoseini, Azalia; Maziarz, Krzysztof; Davis, Andy; Le, Quoc; Hinton, Geoffrey; Dean, Jeff. Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer. 2017-01-01. arXiv:1701.06538 可免费查阅 [cs.LG]. 
  • Lepikhin, Dmitry; Lee, HyoukJoong; Xu, Yuanzhong; Chen, Dehao; Firat, Orhan; Huang, Yanping; Krikun, Maxim; Shazeer, Noam; Chen, Zhifeng. GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding. 2021-01-12. arXiv:2006.16668 可免费查阅 [cs.CL]. 
  • Lewis, Patrick; Perez, Ethan; Piktus, Aleksandra; Petroni, Fabio; Karpukhin, Vladimir; Goyal, Naman; Küttler, Heinrich; Lewis, Mike; Yih, Wen-tau; Rocktäschel, Tim; Riedel, Sebastian; Kiela, Douwe. Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. Advances in Neural Information Processing Systems (Curran Associates, Inc.). 2020, 33: 9459–9474 [2023-06-12]. arXiv:2005.11401 可免费查阅. （原始内容存档于2023-06-12）. 
  • Ouyang, Long; Wu, Jeff; Jiang, Xu; Almeida, Diogo; Wainwright, Carroll L.; Mishkin, Pamela; Zhang, Chong; Agarwal, Sandhini; Slama, Katarina; Ray, Alex; Schulman, John; Hilton, Jacob; Kelton, Fraser; Miller, Luke; Simens, Maddie; Askell, Amanda; Welinder, Peter; Christiano, Paul; Leike, Jan; Lowe, Ryan. Training language models to follow instructions with human feedback. 2022. arXiv:2203.02155 可免费查阅 [cs.CL]. 
  • Sharir, Or; Peleg, Barak; Shoham, Yoav. The Cost of Training NLP Models: A Concise Overview. 2020. arXiv:2004.08900 可免费查阅 [cs.CL]. 
  • Biderman, Stella; Schoelkopf, Hailey; Anthony, Quentin; Bradley, Herbie; Khan, Mohammad Aflah; Purohit, Shivanshu; Prashanth, USVSN Sai. Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling. April 2023. arXiv:2304.01373 可免费查阅 [cs.CL]. 
  • Maslej, Nestor; Fattorini, Loredana; Brynjolfsson, Erik; Etchemendy, John; Ligett, Katrina; Lyons, Terah; Manyika, James; Ngo, Helen; Niebles, Juan Carlos, Artificial Intelligence Index Report 2023, 2023-10-05, arXiv:2310.03715 可免费查阅 
  • Section 2.1 and Table 1, Kaplan, Jared; McCandlish, Sam; Henighan, Tom; Brown, Tom B.; Chess, Benjamin; Child, Rewon; Gray, Scott; Radford, Alec; Wu, Jeffrey; Amodei, Dario. Scaling Laws for Neural Language Models. 2020. arXiv:2001.08361 可免费查阅 [cs.LG]. 
  • Li, Junnan; Li, Dongxu; Savarese, Silvio; Hoi, Steven. BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models. 2023-01-01. arXiv:2301.12597 可免费查阅 [cs.CV]. 
  • Alayrac, Jean-Baptiste; Donahue, Jeff; Luc, Pauline; Miech, Antoine; Barr, Iain; Hasson, Yana; Lenc, Karel; Mensch, Arthur; Millican, Katherine; Reynolds, Malcolm; Ring, Roman; Rutherford, Eliza; Cabi, Serkan; Han, Tengda; Gong, Zhitao. Flamingo: a Visual Language Model for Few-Shot Learning. Advances in Neural Information Processing Systems. 2022-12-06, 35: 23716–23736 [2023-07-02]. arXiv:2204.14198 可免费查阅. （原始内容存档于2023-07-02）. 
  • Liu, Haotian; Li, Chunyuan; Wu, Qingyang; Lee, Yong Jae. Visual Instruction Tuning. 2023-04-01. arXiv:2304.08485 可免费查阅 [cs.CV]. 
  • Zhang, Hang; Li, Xin; Bing, Lidong. Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding. 2023-06-01. arXiv:2306.02858 可免费查阅 [cs.CL]. 
  • OpenAI. GPT-4 Technical Report. 2023-03-27. arXiv:2303.08774 可免费查阅 [cs.CL]. 
  • Queenie Luo; Michael J. Puett; Michael D. Smith. A Perspectival Mirror of the Elephant: Investigating Language Bias on Google, ChatGPT, Wikipedia, and YouTube. arXiv. （原始内容存档于2024-04-16）. 
  • Lei Huang; Weijiang Yu; Weitao Ma. A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions. arXiv. （原始内容存档于2024-11-28）. 

blog.google (Global: 2,218th place; Chinese: 5,303rd place)

doi.org (Global: 2nd place; Chinese: 23rd place)

doi.org

dx.doi.org

eswc-conferences.org (Global: low place; Chinese: low place)

2024.eswc-conferences.org

euronews.com (Global: 612th place; Chinese: 2,396th place)

harvard.edu (Global: 18th place; Chinese: 57th place)

ui.adsabs.harvard.edu

huggingface.co (Global: low place; Chinese: low place)

ibm.com (Global: 1,131st place; Chinese: 1,050th place)

ieee.org (Global: 652nd place; Chinese: 712th place)

ieeexplore.ieee.org

jalammar.github.io (Global: low place; Chinese: low place)

llmbook-zh.github.io (Global: low place; Chinese: low place)

  • 赵鑫，李军毅，周昆，唐天一，文继荣. 大语言模型. 北京: 高等教育出版社. 2024. 

meta.com (Global: low place; Chinese: low place)

ai.meta.com

mit.edu (Global: 415th place; Chinese: 500th place)

direct.mit.edu

mittrchina.com (Global: low place; Chinese: low place)

mlr.press (Global: low place; Chinese: low place)

proceedings.mlr.press

  • Nagel, Markus; Amjad, Rana Ali; Baalen, Mart Van; Louizos, Christos; Blankevoort, Tijmen. Up or Down? Adaptive Rounding for Post-Training Quantization. Proceedings of the 37th International Conference on Machine Learning (PMLR). 2020-11-21: 7197–7206 [2023-06-14]. （原始内容存档于2023-06-14）. 
  • Kiros, Ryan; Salakhutdinov, Ruslan; Zemel, Rich. Multimodal Neural Language Models. Proceedings of the 31st International Conference on Machine Learning (PMLR). 2014-06-18: 595–603 [2023-07-02]. （原始内容存档于2023-07-02）. 

nature.com (Global: 234th place; Chinese: 227th place)

neurips.cc (Global: low place; Chinese: low place)

proceedings.neurips.cc

  • Brown, Tom B.; Mann, Benjamin; Ryder, Nick; Subbiah, Melanie; Kaplan, Jared; Dhariwal, Prafulla; Neelakantan, Arvind; Shyam, Pranav; Sastry, Girish; Askell, Amanda; Agarwal, Sandhini; Herbert-Voss, Ariel; Krueger, Gretchen; Henighan, Tom; Child, Rewon; Ramesh, Aditya; Ziegler, Daniel M.; Wu, Jeffrey; Winter, Clemens; Hesse, Christopher; Chen, Mark; Sigler, Eric; Litwin, Mateusz; Gray, Scott; Chess, Benjamin; Clark, Jack; Berner, Christopher; McCandlish, Sam; Radford, Alec; Sutskever, Ilya; Amodei, Dario. Larochelle, H.; Ranzato, M.; Hadsell, R.; Balcan, M.F.; Lin, H. , 编. Language Models are Few-Shot Learners (PDF). Advances in Neural Information Processing Systems (Curran Associates, Inc.). Dec 2020, 33: 1877–1901 [2023-03-14]. arXiv:2005.14165 可免费查阅. doi:10.1145/3582269.3615599. （原始内容存档 (PDF)于2023-11-17）. 
  • Vaswani, Ashish; Shazeer, Noam; Parmar, Niki; Uszkoreit, Jakob; Jones, Llion; Gomez, Aidan N; Kaiser, Łukasz; Polosukhin, Illia. Attention is All you Need (PDF). Advances in Neural Information Processing Systems (Curran Associates, Inc.). 2017, 30 [2024-01-21]. （原始内容存档 (PDF)于2024-02-21）. 
  • Lewis, Patrick; Perez, Ethan; Piktus, Aleksandra; Petroni, Fabio; Karpukhin, Vladimir; Goyal, Naman; Küttler, Heinrich; Lewis, Mike; Yih, Wen-tau; Rocktäschel, Tim; Riedel, Sebastian; Kiela, Douwe. Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. Advances in Neural Information Processing Systems (Curran Associates, Inc.). 2020, 33: 9459–9474 [2023-06-12]. arXiv:2005.11401 可免费查阅. （原始内容存档于2023-06-12）. 
  • Krizhevsky, Alex; Sutskever, Ilya; Hinton, Geoffrey E. ImageNet Classification with Deep Convolutional Neural Networks. Advances in Neural Information Processing Systems (Curran Associates, Inc.). 2012, 25 [2023-07-02]. （原始内容存档于2023-07-02）. 
  • Alayrac, Jean-Baptiste; Donahue, Jeff; Luc, Pauline; Miech, Antoine; Barr, Iain; Hasson, Yana; Lenc, Karel; Mensch, Arthur; Millican, Katherine; Reynolds, Malcolm; Ring, Roman; Rutherford, Eliza; Cabi, Serkan; Han, Tengda; Gong, Zhitao. Flamingo: a Visual Language Model for Few-Shot Learning. Advances in Neural Information Processing Systems. 2022-12-06, 35: 23716–23736 [2023-07-02]. arXiv:2204.14198 可免费查阅. （原始内容存档于2023-07-02）. 

nvidia.com (Global: 2,503rd place; Chinese: 1,088th place)

blogs.nvidia.com

nytimes.com (Global: 7th place; Chinese: 31st place)

openai.com (Global: 1,559th place; Chinese: 848th place)

platform.openai.com

openai.com

cdn.openai.com

openreview.net (Global: low place; Chinese: low place)

ourworldindata.org (Global: 2,263rd place; Chinese: 5,757th place)

researchgate.net (Global: 120th place; Chinese: 337th place)

rgdoi.net (Global: low place; Chinese: low place)

semanticscholar.org (Global: 11th place; Chinese: 332nd place)

api.semanticscholar.org

springer.com (Global: 274th place; Chinese: 320th place)

link.springer.com

stanford.edu (Global: 179th place; Chinese: 275th place)

web.stanford.edu

techcrunch.com (Global: 187th place; Chinese: 481st place)

technologyreview.com (Global: 1,943rd place; Chinese: 2,036th place)

thecvf.com (Global: low place; Chinese: low place)

openaccess.thecvf.com

  • Antol, Stanislaw; Agrawal, Aishwarya; Lu, Jiasen; Mitchell, Margaret; Batra, Dhruv; Zitnick, C. Lawrence; Parikh, Devi. VQA: Visual Question Answering. ICCV. 2015: 2425–2433 [2023-07-02]. （原始内容存档于2023-07-02）. 

theguardian.com (Global: 12th place; Chinese: 60th place)

thepaper.cn (Global: 1,497th place; Chinese: 54th place)

theregister.com (Global: 3,700th place; Chinese: 4,616th place)

towardsdatascience.com (Global: 8,920th place; Chinese: 7,729th place)

unite.ai (Global: low place; Chinese: low place)

venturebeat.com (Global: 616th place; Chinese: 838th place)

web.archive.org (Global: 1st place; Chinese: 1st place)

worldcat.org (Global: 5th place; Chinese: 12th place)

yenniejun.com (Global: low place; Chinese: low place)

blog.yenniejun.com

youtube.com (Global: 9th place; Chinese: 2nd place)