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Large language models (LLMs) that have been trained on a corpus that includes large amount of code exhibit a remarkable ability to understand HTML code.
World of bits: An open-domain platform for web-based agents
Tianlin Shi, Andrej Karpathy, Linxi Fan, Jonathan Hernandez, and Percy Liang · 2017
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Fixing bad ux designs: Master proven approaches, tools, and techniques to make your user experience great again
Lisandra Maioli · 2018
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Learning from positive and unlabeled data: A survey
Jessa Bekker and Jesse Davis · 2020
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
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Webgpt: Browser-assisted question-answering with human feedback
Reiichiro Nakano, Jacob Hilton, Suchir Balaji, Jeff Wu, Long Ouyang, Christina Kim, Christopher Hesse, Shantanu Jain, Vineet Kosaraju, William Saunders, et al · 2021
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MiniLMv2: Multi-head self-attention relation distillation for compressing pretrained transformers
Wenhui Wang, Hangbo Bao, Shaohan Huang, Li Dong, and Furu Wei · 2021
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Deberta: Decoding-enhanced bert with disentangled attention, 2021
Pengcheng He, Xiaodong Liu, Jianfeng Gao, and Weizhu Chen · 2021
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Lm-nav: Robotic navigation with large pre-trained models of language, vision, and action, 2022
Dhruv Shah, Blazej Osinski, Brian Ichter, and Sergey Levine · 2022
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Jarvis: A neuro-symbolic commonsense reasoning framework for conversational embodied agents, 2022
Kaizhi Zheng, Kaiwen Zhou, Jing Gu, Yue Fan, Jialu Wang, Zonglin Di, Xuehai He, and Xin Eric Wang · 2022
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Stylette: Styling the web with natural language
Tae Soo Kim, DaEun Choi, Yoonseo Choi, and Juho Kim · 2022
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Understanding html with large language models, 2023
Izzeddin Gur, Ofir Nachum, Yingjie Miao, Mustafa Safdari, Austin Huang, Aakanksha Chowdhery, Sharan Narang, Noah Fiedel, and Aleksandra Faust · 2023
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Enabling conversational interaction with mobile ui using large language models
Bryan Wang, Gang Li, and Yang Li · 2023
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Webarena: A realistic web environment for building autonomous agents
Shuyan Zhou, Frank F Xu, Hao Zhu, Xuhui Zhou, Robert Lo, Abishek Sridhar, Xianyi Cheng, Yonatan Bisk, Daniel Fried, Uri Alon, et al · 2023
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Mind2web: Towards a generalist agent for the web
Xiang Deng, Yu Gu, Boyuan Zheng, Shijie Chen, Samuel Stevens, Boshi Wang, Huan Sun, and Yu Su · 2023
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Empowering llm to use smartphone for intelligent task automation, 2023
Hao Wen, Yuanchun Li, Guohong Liu, Shanhui Zhao, Tao Yu, Toby Jia-Jun Li, Shiqi Jiang, Yunhao Liu, Yaqin Zhang, and Yunxin Liu · 2023
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You only look at screens: Multimodal chain-of-action agents, 2023
Zhuosheng Zhang and Aston Zhang · 2023
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Webshop: Towards scalable real-world web interaction with grounded language agents, 2023
Shunyu Yao, Howard Chen, John Yang, and Karthik Narasimhan · 2023
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Imagebind-llm: Multi-modality instruction tuning, 2023
Jiaming Han, Renrui Zhang, Wenqi Shao, Peng Gao, Peng Xu, Han Xiao, Kaipeng Zhang, Chris Liu, Song Wen, Ziyu Guo, Xudong Lu, Shuai Ren, Yafei Wen, Xiaoxin Chen, Xiangyu Yue, Hongsheng Li, and Yu Qiao · 2023
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Boosting in-context learning with factual knowledge, 2023
Jianing Wang, Chengyu Wang, Chuanqi Tan, Jun Huang, and Ming Gao · 2023
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Screws: A modular framework for reasoning with revisions, 2023
Kumar Shridhar, Harsh Jhamtani, Hao Fang, Benjamin Van Durme, Jason Eisner, and Patrick Xia · 2023
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Promptbreeder: Self-referential self-improvement via prompt evolution, 2023
Chrisantha Fernando, Dylan Banarse, Henryk Michalewski, Simon Osindero, and Tim Rocktäschel · 2023
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Chain-of-verification reduces hallucination in large language models, 2023
Shehzaad Dhuliawala, Mojtaba Komeili, Jing Xu, Roberta Raileanu, Xian Li, Asli Celikyilmaz, and Jason Weston · 2023
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Cognitive architectures for language agents, 2023
Theodore R. Sumers, Shunyu Yao, Karthik Narasimhan, and Thomas L. Griffiths · 2023
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Model card and evaluations for claude models, Jul 2023
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Visual instruction tuning, 2023
Haotian Liu, Chunyuan Li, Qingyang Wu, and Yong Jae Lee · 2023
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Llm-planner: Few-shot grounded planning for embodied agents with large language models, 2023
Chan Hee Song, Jiaman Wu, Clayton Washington, Brian M. Sadler, Wei-Lun Chao, and Yu Su · 2023
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Medalign: A clinician-generated dataset for instruction following with electronic medical records, 2023
Scott L. Fleming, Alejandro Lozano, William J. Haberkorn, Jenelle A. Jindal, Eduardo P. Reis, Rahul Thapa, Louis Blankemeier, Julian Z. Genkins, Ethan Steinberg, Ashwin Nayak, Birju S. Patel, Chia-Chun Chiang, Alison Callahan, Zepeng Huo, Sergios Gatidis, Scott J. Adams, Oluseyi Fayanju, Shreya J. Shah, Thomas Savage, Ethan Goh, Akshay S. Chaudhari, Nima Aghaeepour, Christopher Sharp, Michael A. Pfeffer, Percy Liang, Jonathan H. Chen, Keith E. Morse, Emma P. Brunskill, Jason A. Fries, and Nigam H. Shah · 2023
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Pandalm: An automatic evaluation benchmark for llm instruction tuning optimization, 2023
Yidong Wang, Zhuohao Yu, Zhengran Zeng, Linyi Yang, Cunxiang Wang, Hao Chen, Chaoya Jiang, Rui Xie, Jindong Wang, Xing Xie, Wei Ye, Shikun Zhang, and Yue Zhang · 2023
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From quantity to quality: Boosting llm performance with self-guided data selection for instruction tuning, 2023
Ming Li, Yong Zhang, Zhitao Li, Jiuhai Chen, Lichang Chen, Ning Cheng, Jianzong Wang, Tianyi Zhou, and Jing Xiao · 2023
Cited alongside, same era.
Llm-planner: Few-shot grounded planning for embodied agents with large language models
Chan Hee Song, Jiaman Wu, Clayton Washington, Brian M Sadler, Wei-Lun Chao, and Yu Su · 2023
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Esc: Exploration with soft commonsense constraints for zero-shot object navigation
Kaiwen Zhou, Kaizhi Zheng, Connor Pryor, Yilin Shen, Hongxia Jin, Lise Getoor, and Xin Eric Wang · 2023
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Anthropic · 2023
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Prompting PaLM for translation: Assessing strategies and performance
David Vilar, Markus Freitag, Colin Cherry, Jiaming Luo, Viresh Ratnakar, and George Foster · 2023
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Lost in the middle: How language models use long contexts, 2023
Nelson F. Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang · 2023
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Why johnny can’t prompt: How non-ai experts try (and fail) to design llm prompts
J.D. Zamfirescu-Pereira, Richmond Y. Wong, Bjoern Hartmann, and Qian Yang · 2023
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Marked personas: Using natural language prompts to measure stereotypes in language models, 2023
Myra Cheng, Esin Durmus, and Dan Jurafsky · 2023
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Gpt-4 technical report, 2023
OpenAI · 2023
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Enhancing chat language models by scaling high-quality instructional conversations, 2023
Ning Ding, Yulin Chen, Bokai Xu, Yujia Qin, Zhi Zheng, Shengding Hu, Zhiyuan Liu, Maosong Sun, and Bowen Zhou · 2023
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