Fetching the paper…
Reading the bibliography…
Fully autonomous teams of LLM-powered AI agents are emerging that collaborate to perform complex tasks for users.
Language Models are Few-Shot Learners. In Advances in Neural Information Processing Systems , H. Larochelle, M. Ranzato, R. Hadsell, M.F. Balcan, and H. Lin (Eds.), Vol. 33. Curran Associates, Inc., Red Hook, NY, USA, 1877–1901
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 1901
Earlier work this paper cites.
Why and why not explanations improve the intelligibility of context-aware intelligent systems. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Boston, MA, USA) (CHI ’09) . Association for Computing Machinery, New York, NY, USA, 2119–2128
Brian Y. Lim, Anind K. Dey, and Daniel Avrahami. 2009 · 2009
Earlier work this paper cites.
TurKit: human computation algorithms on mechanical turk. In Proceedings of the 23nd Annual ACM Symposium on User Interface Software and Technology (New York, New York, USA) (UIST ’10) . Association for Computing Machinery, New York, NY, USA, 57–66
Greg Little, Lydia B. Chilton, Max Goldman, and Robert C. Miller. 2010 · 2010
Earlier work this paper cites.
Gestalt: integrated support for implementation and analysis in machine learning. In Proceedings of the 23nd Annual ACM Symposium on User Interface Software and Technology (New York, New York, USA) (UIST ’10) . Association for Computing Machinery, New York, NY, USA, 37–46
Kayur Patel, Naomi Bancroft, Steven M. Drucker, James Fogarty, Amy J. Ko, and James Landay. 2010 · 2010
Earlier work this paper cites.
Machine Learning: The High Interest Credit Card of Technical Debt
D. Sculley, Gary Holt, Daniel Golovin, Eugene Davydov, Todd Phillips, Dietmar Ebner, Vinay Chaudhary, and Michael Young. 2014 · 2014
Earlier work this paper cites.
ModelTracker: Redesigning Performance Analysis Tools for Machine Learning. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (Seoul, Republic of Korea) (CHI ’15) . Association for Computing Machinery, New York, NY, USA, 337–346
Saleema Amershi, Max Chickering, Steven M. Drucker, Bongshin Lee, Patrice Simard, and Jina Suh. 2015 · 2015
Earlier work this paper cites.
Principles of Explanatory Debugging to Personalize Interactive Machine Learning. In Proceedings of the 20th International Conference on Intelligent User Interfaces (Atlanta, Georgia, USA) (IUI ’15) . Association for Computing Machinery, New York, NY, USA, 126–137
Todd Kulesza, Margaret Burnett, Weng-Keen Wong, and Simone Stumpf. 2015 · 2015
Earlier work this paper cites.
On human intellect and machine failures: troubleshooting integrative machine learning systems. In Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (San Francisco, California, USA) (AAAI’17) . AAAI Press, New York, NY, USA, 1017–1025
Besmira Nushi, Ece Kamar, Eric Horvitz, and Donald Kossmann. 2017 · 2017
Earlier work this paper cites.
Atom: A Grammar for Unit Visualizations
Deokgun Park, Steven M. Drucker, Roland Fernandez, and Niklas Elmqvist. 2018 · 2017
Earlier work this paper cites.
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR
Sandra Wachter, Brent D. Mittelstadt, and Chris Russell. 2017 · 2017
Earlier work this paper cites.
Software engineering for machine learning: a case study. In Proceedings of the 41st International Conference on Software Engineering: Software Engineering in Practice (Montreal, Quebec, Canada) (ICSE-SEIP ’19) . IEEE Press, New York, NY, USA, 291–300
Saleema Amershi, Andrew Begel, Christian Bird, Robert DeLine, Harald Gall, Ece Kamar, Nachiappan Nagappan, Besmira Nushi, and Thomas Zimmermann. 2019 · 2019
Earlier work this paper cites.
The What-If Tool: Interactive Probing of Machine Learning Models
James Wexler, Mahima Pushkarna, Tolga Bolukbasi, Martin Wattenberg, Fernanda B. Viégas, and Jimbo Wilson. 2020 · 2019
Earlier work this paper cites.
On Faithfulness and Factuality in Abstractive Summarization. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , Dan Jurafsky, Joyce Chai, Natalie Schluter, and Joel Tetreault (Eds.). Association for Computational Linguistics, Online, 1906–1919
Joshua Maynez, Shashi Narayan, Bernd Bohnet, and Ryan McDonald. 2020 · 2020
Earlier work this paper cites.
Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) , Chengqing Zong, Fei Xia, Wenjie Li, and Roberto Navigli (Eds.). Association for Computational Linguistics, Online, 6707–6723
Tongshuang Wu, Marco Tulio Ribeiro, Jeffrey Heer, and Daniel Weld. 2021 · 2021
Earlier work this paper cites.
PromptMaker: Prompt-based Prototyping with Large Language Models. In Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems (New Orleans, LA, USA) (CHI EA ’22) . Association for Computing Machinery, New York, NY, USA, Article 35, 8 pages
Ellen Jiang, Kristen Olson, Edwin Toh, Alejandra Molina, Aaron Donsbach, Michael Terry, and Carrie J Cai. 2022 · 2022
Earlier work this paper cites.
Adaptive Testing and Debugging of NLP Models. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , Smaranda Muresan, Preslav Nakov, and Aline Villavicencio (Eds.). Association for Computational Linguistics, Dublin, Ireland, 3253–3267
Marco Tulio Ribeiro and Scott Lundberg. 2022 · 2022
Cited alongside, same era.
Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models
Hendrik Strobelt, Albert Webson, Victor Sanh, Benjamin Hoover, Johanna Beyer, Hanspeter Pfister, and Alexander M. Rush. 2022 · 2022
Cited alongside, same era.
PromptChainer: Chaining Large Language Model Prompts through Visual Programming. In Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems (New Orleans, LA, USA) (CHI EA ’22) . Association for Computing Machinery, New York, NY, USA, Article 359, 10 pages
Tongshuang Wu, Ellen Jiang, Aaron Donsbach, Jeff Gray, Alejandra Molina, Michael Terry, and Carrie J Cai. 2022a · 2022
Cited alongside, same era.
SWE-bench: Can Language Models Resolve Real-world Github Issues?
Carlos E Jimenez, John Yang, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, and Karthik R Narasimhan. 2024 · 2024
Later among the works it cites.
LLM Comparator: Interactive Analysis of Side-by-Side Evaluation of Large Language Models
Minsuk Kahng, Ian Tenney, Mahima Pushkarna, Michael Xieyang Liu, James Wexler, Emily Reif, Krystal Kallarackal, Minsuk Chang, Michael Terry, and Lucas Dixon. 2025 · 2024
Later among the works it cites.
EvalLM: Interactive Evaluation of Large Language Model Prompts on User-Defined Criteria. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (Honolulu, HI, USA) (CHI ’24) . Association for Computing Machinery, New York, NY, USA, Article 306, 21 pages
Tae Soo Kim, Yoonjoo Lee, Jamin Shin, Young-Ho Kim, and Juho Kim. 2024 · 2024
Later among the works it cites.
LangGraph Studio
LangChain. 2024 · 2024
Later among the works it cites.
Lost in the Middle: How Language Models Use Long Contexts
Nelson F. Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang. 2024 · 2024
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (New Orleans, LA, USA) (CHI ’22) . Association for Computing Machinery, New York, NY, USA, Article 385, 22 pages
Tongshuang Wu, Michael Terry, and Carrie Jun Cai. 2022b · 2022
Cited alongside, same era.
ChainForge: A Visual Toolkit for Prompt Engineering and LLM Hypothesis Testing
Ian Arawjo, Chelse Swoopes, Priyan Vaithilingam, Martin Wattenberg, and Elena Glassman. 2023 · 2023
Cited alongside, same era.
Zeno: An Interactive Framework for Behavioral Evaluation of Machine Learning. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (Hamburg, Germany) (CHI ’23) . Association for Computing Machinery, New York, NY, USA, Article 419, 14 pages
Ángel Alexander Cabrera, Erica Fu, Donald Bertucci, Kenneth Holstein, Ameet Talwalkar, Jason I. Hong, and Adam Perer. 2023 · 2023
Cited alongside, same era.
CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society
Guohao Li, Hasan Abed Al Kader Hammoud, Hani Itani, Dmitrii Khizbullin, and Bernard Ghanem. 2023 · 2023
Cited alongside, same era.
Why Johnny Can’t Prompt: How Non-AI Experts Try (and Fail) to Design LLM Prompts. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (Hamburg, Germany) (CHI ’23) . Association for Computing Machinery, New York, NY, USA, Article 437, 21 pages
J.D. Zamfirescu-Pereira, Richmond Y. Wong, Bjoern Hartmann, and Qian Yang. 2023 · 2023
Cited alongside, same era.
Autoblocks
Autoblocks AI. 2024 · 2024
Cited alongside, same era.
AutoGen Studio: A No-Code Developer Tool for Building and Debugging Multi-Agent Systems
Victor Dibia, Jingya Chen, Gagan Bansal, Suff Syed, Adam Fourney, Erkang Zhu, Chi Wang, and Saleema Amershi. 2024 · 2024
Cited alongside, same era.
GAIA Benchmark Leaderboard
Hugging Face. 2024 · 2024
Cited alongside, same era.
Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks
Adam Fourney, Gagan Bansal, Hussein Mozannar, Cheng Tan, Eduardo Salinas, Erkang (Eric) Zhu, Friederike Niedtner, Grace Proebsting, Griffin Bassman, Jack Gerrits, Jacob Alber, Peter Chang, Ricky Loynd, Robert West, Victor Dibia, Ahmed Awadallah, Ece Kamar, Rafah Hosn, and Saleema Amershi. 2024 · 2024
Cited alongside, same era.
Later among the works it cites.
GAIA: A Benchmark for General AI Assistants
Gregoire Mialon, Thomas Scialom, Clémentine Fourrier, Thomas Wolf, and Yann LeCun. 2024 · 2024
Later among the works it cites.
Chat Playground
OpenAI. 2024 · 2024
Later among the works it cites.
ConstitutionMaker: Interactively Critiquing Large Language Models by Converting Feedback into Principles. In Proceedings of the 29th International Conference on Intelligent User Interfaces (Greenville, SC, USA) (IUI ’24) . Association for Computing Machinery, New York, NY, USA, 853–868
Savvas Petridis, Benjamin D Wedin, James Wexler, Mahima Pushkarna, Aaron Donsbach, Nitesh Goyal, Carrie J Cai, and Michael Terry. 2024 · 2024
Later among the works it cites.
Promptfoo
Promptfoo. 2024 · 2024
Later among the works it cites.
The Python Debugger (pdb)
Python Software Foundation. 2024 · 2024
Later among the works it cites.
Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences. In Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology (Pittsburgh, PA, USA) (UIST ’24) . Association for Computing Machinery, New York, NY, USA, Article 131, 14 pages
Shreya Shankar, J.D. Zamfirescu-Pereira, Bjoern Hartmann, Aditya Parameswaran, and Ian Arawjo. 2024 · 2024
Later among the works it cites.
Interactive Prompt Debugging with Sequence Salience
Ian Tenney, Ryan Mullins, Bin Du, Shree Pandya, Minsuk Kahng, and Lucas Dixon. 2024 · 2024
Later among the works it cites.
OpenDevin: An Open Platform for AI Software Developers as Generalist Agents
Xingyao Wang, Boxuan Li, Yufan Song, Frank F. Xu, Xiangru Tang, Mingchen Zhuge, Jiayi Pan, Yueqi Song, Bowen Li, Jaskirat Singh, Hoang H. Tran, Fuqiang Li, Ren Ma, Mingzhang Zheng, Bill Qian, Yanjun Shao, Niklas Muennighoff, Yizhe Zhang, Binyuan Hui, Junyang Lin, Robert Brennan, Hao Peng, Heng Ji, and Graham Neubig. 2024 · 2024
Later among the works it cites.
WebArena: A Realistic Web Environment for Building Autonomous Agents
Shuyan Zhou, Frank F. Xu, Hao Zhu, Xuhui Zhou, Robert Lo, Abishek Sridhar, Xianyi Cheng, Tianyue Ou, Yonatan Bisk, Daniel Fried, Uri Alon, and Graham Neubig. 2024 · 2024
Later among the works it cites.