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Large Language Models (LLMs) have shown great potential in intelligent visualization systems, especially for domain-specific applications.
Chapter 2 - attaining self-regulation: A social cognitive perspective
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Generating datasets with pretrained language models, Nov. 2021. doi: 10.18653/v1/2021.emnlp-main.555
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LoRA: Low-rank adaptation of large language models
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Training language models to follow instructions with human feedback, 2022. doi: 10.48550/arXiv.2203.02155
L. Ouyang and et al · 2022
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Docflow: A visual analytics system for question-based document retrieval and categorization
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Interactive and visual prompt engineering for ad-hoc task adaptation with large language models
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Finetuned language models are zero-shot learners, 2022. doi: 10.48550/arXiv.2109.01652
J. Wei, M. Bosma, V. Y. Zhao, K. Guu, A. W. Yu, B. Lester, N. Du, A. M. Dai, and Q. V. Le · 2022
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Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively
H. Zhang, G. Li, J. Li, Z. Zhang, Y. ZHU, and Z. Jin · 2022
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Telling stories from computational notebooks: Ai-assisted presentation slides creation for presenting data science work
C. Zheng, D. Wang, A. Y. Wang, and X. Ma · 2022
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RETUYT-InCo at BEA 2023 shared task: Tuning open-source LLMs for generating teacher responses
A. Baladón, I. Sastre, L. Chiruzzo, and A. Rosá · 2023
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Maybe only 0.5% data is needed: A preliminary exploration of low training data instruction tuning, 2023. doi: 10.48550/arXiv.2305.09246
H. Chen, Y. Zhang, Q. Zhang, H. Yang, X. Hu, X. Ma, Y. Yanggong, and J. Zhao · 2023
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Program of thoughts prompting: Disentangling computation from reasoning for numerical reasoning tasks, 2023. doi: 10.48550/arXiv.2211.12588
W. Chen, X. Ma, X. Wang, and W. W. Cohen · 2023
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Educhat: A large-scale language model-based chatbot system for intelligent education, 2023. doi: 10.48550/arXiv.2308.02773
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The calla dataset: Probing llms’ interactive knowledge acquisition from chinese medical literature, 2023. doi: 10.48550/arXiv.2309.04198
Y. Du, S. Zhao, Y. Chen, R. Bai, J. Liu, H. Wu, H. Wang, and B. Qin · 2023
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UKP-SQuARE: An interactive tool for teaching question answering
H. Fang, H. Puerto, and I. Gurevych · 2023
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Transforlearn: Interactive visual tutorial for the transformer model
L. Gao, Z. Shao, Z. Luo, H. Hu, C. Turkay, and S. Chen · 2023
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L. Huang, W. Yu, W. Ma, W. Zhong, Z. Feng, H. Wang, Q. Chen, W. Peng, X. Feng, B. Qin, and T. Liu · 2023
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C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models
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Towards mitigating LLM hallucination via self reflection
Z. Ji, T. Yu, Y. Xu, N. Lee, E. Ishii, and P. Fung · 2023
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Socrates: Data story generation via adaptive machine-guided elicitation of user feedback
G. Wu, S. Guo, J. Hoffswell, G. Y.-Y. Chan, R. A. Rossi, and E. Koh · 2023
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The rise and potential of large language model based agents: A survey, 2023. doi: 10.48550/arXiv.2309.07864
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Baichuan 2: Open large-scale language models, 2023. doi: 10.48550/arXiv.2309.10305
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RefGPT: Dialogue generation of GPT, by GPT, and for GPT
D. Yang, R. Yuan, Y. Fan, Y. Yang, Z. Wang, S. Wang, and H. Zhao · 2023
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Fingpt: Open-source financial large language models, 2023. doi: 10.48550/arXiv.2306.06031
H. Yang, X.-Y. Liu, and C. D. Wang · 2023
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Taoli llama
J. Yu, J. Zhu, Y. Wang, Y. Liu, H. Chang, J. Nie, C. Kong, R. Chong, XinLiu, J. An, L. Lu, M. Fang, and L. Zhu · 2023
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Chatgpt for good? on opportunities and challenges of large language models for education
E. Kasneci, K. Seßler, S. Küchemann, M. Bannert, D. Dementieva, F. Fischer, U. Gasser, G. Groh, S. Günnemann, E. Hüllermeier, et al · 2023
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From quantity to quality: Boosting llm performance with self-guided data selection for instruction tuning, 2023. doi: 10.48550/arXiv.2308.12032
M. Li, Y. Zhang, Z. Li, J. Chen, L. Chen, N. Cheng, J. Wang, T. Zhou, and J. Xiao · 2023
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Domain specialization as the key to make large language models disruptive: A comprehensive survey, 2023. doi: 10.48550/arXiv.2305.18703
C. Ling and et al · 2023
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Chatgpt: Optimizing language models for dialogue
OpenAI · 2023
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Generative agents: Interactive simulacra of human behavior
J. S. Park, J. O’Brien, C. J. Cai, M. R. Morris, P. Liang, and M. S. Bernstein · 2023
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Check your facts and try again: Improving large language models with external knowledge and automated feedback, 2023. doi: 10.48550/arXiv.2302.12813
B. Peng, M. Galley, P. He, H. Cheng, Y. Xie, Y. Hu, Q. Huang, L. Liden, Z. Yu, W. Chen, and J. Gao · 2023
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Storyfier: Exploring vocabulary learning support with text generation models
Z. Peng, X. Wang, Q. Han, J. Zhu, X. Ma, and H. Qu · 2023
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Disc-lawllm: Fine-tuning large language models for intelligent legal services, 2023. doi: 10.48550/arXiv.2309.11325
S. Yue, W. Chen, S. Wang, B. Li, C. Shen, S. Liu, Y. Zhou, Y. Xiao, S. Yun, X. Huang, and Z. Wei · 2023
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Mammoth: Building math generalist models through hybrid instruction tuning, 2023. doi: 10.48550/arXiv.2309.05653
X. Yue, X. Qu, G. Zhang, Y. Fu, W. Huang, H. Sun, Y. Su, and W. Chen · 2023
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GLM-130b: An open bilingual pre-trained model
A. Zeng and et al · 2023
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Instruction tuning for large language models: A survey, 2023. doi: 10.48550/arXiv.2308.10792
S. Zhang, L. Dong, X. Li, S. Zhang, X. Sun, S. Wang, J. Li, R. Hu, T. Zhang, F. Wu, and G. Wang · 2023
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Balancing specialized and general skills in llms: The impact of modern tuning and data strategy
Z. Zhang, C. Zheng, D. Tang, K. Sun, Y. Ma, Y. Bu, X. Zhou, and L. Zhao · 2023
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Judging llm-as-a-judge with mt-bench and chatbot arena
L. Zheng, W.-L. Chiang, Y. Sheng, S. Zhuang, Z. Wu, Y. Zhuang, Z. Lin, Z. Li, D. Li, E. Xing, H. Zhang, J. E. Gonzalez, and I. Stoica · 2023
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Agieval: A human-centric benchmark for evaluating foundation models, 2023. doi: 10.48550/arXiv.2304.06364
W. Zhong, R. Cui, Y. Guo, Y. Liang, S. Lu, Y. Wang, A. Saied, W. Chen, and N. Duan · 2023
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Can large language models understand real-world complex instructions?
Q. He, J. Zeng, W. Huang, L. Chen, J. Xiao, Q. He, X. Zhou, J. Liang, and Y. Xiao · 2024
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C2ideas: Supporting creative interior color design ideation with a large language model
Y. Hou, M. Yang, H. Cui, L. Wang, J. Xu, and W. Zeng · 2024
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Plantography: Incorporating iterative design process into generative artificial intelligence for landscape rendering
R. Huang, H. Lin, C. Chen, K. Zhang, and W. Zeng · 2024
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Effectiveness assessment of recent large vision-language models
Y. Jiang, X. Yan, G.-P. Ji, K. Fu, M. Sun, H. Xiong, D.-P. Fan, and F. Khan · 2024
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How ai processing delays foster creativity: Exploring research question co-creation with an llm-based agent
Y. Liu, S. Chen, H. Cheng, M. Yu, X. Ran, A. Mo, Y. Tang, and Y. Huang · 2024
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Agentlens: Visual analysis for agent behaviors in llm-based autonomous systems
J. Lu, B. Pan, J. Chen, Y. Feng, J. Hu, Y. Peng, and W. Chen · 2024
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How to teach programming in the ai era? using llms as a teachable agent for debugging, 2024. doi: 10.1007/978-3-031-64302-6_19
Q. Ma, H. Shen, K. Koedinger, and S. T. Wu · 2024
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Gpt-4 technical report
OpenAI · 2024
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Virtuwander: Enhancing multi-modal interaction for virtual tour guidance through large language models
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Chain-of-thought prompting elicits reasoning in large language models
J. Wei, X. Wang, D. Schuurmans, M. Bosma, B. Ichter, F. Xia, E. H. Chi, Q. V. Le, and D. Zhou · 2024
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Leva: Using large language models to enhance visual analytics
Z. Yuheng, Y. Zhang, Y. Zhang, X. Zhao, J. Wang, Z. Shao, C. Turkay, and S. Chen · 2024
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