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Agents, as user-centric tools, are increasingly deployed for human task delegation, assisting with a broad spectrum of requests by generating thoughts, engaging with user proxies, and producing action plans.
The effects of time delays on a telepathology user interface
David Carr, Hiroaki Hasegawa, Doug Lemmon, and Catherine Plaisant · 1992
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Speculative execution based on value prediction
Freddy Gabbay and Avi Mendelson · 1996
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Principles of mixed-initiative user interfaces
Eric Horvitz · 1999
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Graphical user interfaces for engineering design: impact of response delay and training on user performance
Kimberly Barron, Timothy W Simpson, Ling Rothrock, Mary Frecker, Russell R Barton, and Chris Ligetti · 2004
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Speculative execution in a distributed file system
Edmund B Nightingale, Peter M Chen, and Jason Flinn · 2005
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Impact of response delay and training on user performance with text-based and graphical user interfaces for engineering design
Timothy W Simpson, Kimberly Barron, Ling Rothrock, Mary Frecker, Russell R Barton, and Chris Ligetti · 2007
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Ask not what ai can do, but what ai should do: Towards a framework of task delegability
Brian Lubars and Chenhao Tan · 2019
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Spectre is here to stay: An analysis of side-channels and speculative execution
Ross Mcilroy, Jaroslav Sevcik, Tobias Tebbi, Ben L Titzer, and Toon Verwaest · 2019
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Spectre attacks: Exploiting speculative execution
Paul Kocher, Jann Horn, Anders Fogh, Daniel Genkin, Daniel Gruss, Werner Haas, Mike Hamburg, Moritz Lipp, Stefan Mangard, Thomas Prescher, et al · 2020
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Reasoning with language model prompting: A survey
Shuofei Qiao, Yixin Ou, Ningyu Zhang, Xiang Chen, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, and Huajun Chen · 2022
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Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al · 2022
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React: Synergizing reasoning and acting in language models
Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, and Yuan Cao · 2022
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Chateval: Towards better llm-based evaluators through multi-agent debate
Chi-Min Chan, Weize Chen, Yusheng Su, Jianxuan Yu, Wei Xue, Shanghang Zhang, Jie Fu, and Zhiyuan Liu · 2023
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Accelerating large language model decoding with speculative sampling
Charlie Chen, Sebastian Borgeaud, Geoffrey Irving, Jean-Baptiste Lespiau, Laurent Sifre, and John Jumper · 2023
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Improving factuality and reasoning in language models through multiagent debate
Yilun Du, Shuang Li, Antonio Torralba, Joshua B Tenenbaum, and Igor Mordatch · 2023
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Nphardeval: Dynamic benchmark on reasoning ability of large language models via complexity classes
Lizhou Fan, Wenyue Hua, Lingyao Li, Haoyang Ling, Yongfeng Zhang, and Libby Hemphill · 2023
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Llm as os, agents as apps: Envisioning aios, agents and the aios-agent ecosystem
Yingqiang Ge, Yujie Ren, Wenyue Hua, Shuyuan Xu, Juntao Tan, and Yongfeng Zhang · 2023
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Human-ai collaboration: the effect of ai delegation on human task performance and task satisfaction
Patrick Hemmer, Monika Westphal, Max Schemmer, Sebastian Vetter, Michael Vössing, and Gerhard Satzger · 2023
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Metagpt: Meta programming for multi-agent collaborative framework
Sirui Hong, Xiawu Zheng, Jonathan Chen, Yuheng Cheng, Jinlin Wang, Ceyao Zhang, Zili Wang, Steven Ka Shing Yau, Zijuan Lin, Liyang Zhou, et al · 2023
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War and peace (waragent): Large language model-based multi-agent simulation of world wars
Wenyue Hua, Lizhou Fan, Lingyao Li, Kai Mei, Jianchao Ji, Yingqiang Ge, Libby Hemphill, and Yongfeng Zhang · 2023
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Llm performance predictors are good initializers for architecture search
Ganesh Jawahar, Muhammad Abdul-Mageed, Laks VS Lakshmanan, and Dujian Ding · 2023
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The impact of reasoning step length on large language models
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Toward grounded commonsense reasoning
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Junyou Li, Qin Zhang, Yangbin Yu, Qiang Fu, and Deheng Ye · 2024
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Battleagent: Multi-modal dynamic emulation on historical battles to complement historical analysis
Shuhang Lin, Wenyue Hua, Lingyao Li, Che-Jui Chang, Lizhou Fan, Jianchao Ji, Hang Hua, Mingyu Jin, Jiebo Luo, and Yongfeng Zhang · 2024
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Kangaroo: Lossless self-speculative decoding via double early exiting
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Yaniv Leviathan, Matan Kalman, and Yossi Matias · 2023
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Camel: Communicative agents for” mind” exploration of large language model society
Guohao Li, Hasan Hammoud, Hani Itani, Dmitrii Khizbullin, and Bernard Ghanem · 2023
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Accelerating llm inference with staged speculative decoding
Benjamin Spector and Chris Re · 2023
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Creating large language model applications utilizing langchain: A primer on developing llm apps fast
Oguzhan Topsakal and Tahir Cetin Akinci · 2023
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Autogen: Enabling next-gen llm applications via multi-agent conversation framework
Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Shaokun Zhang, Erkang Zhu, Beibin Li, Li Jiang, Xiaoyun Zhang, and Chi Wang · 2023
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The rise and potential of large language model based agents: A survey
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Medusa: Simple llm inference acceleration framework with multiple decoding heads
Tianle Cai, Yuhong Li, Zhengyang Geng, Hongwu Peng, Jason D Lee, Deming Chen, and Tri Dao · 2024
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Are more llm calls all you need? towards scaling laws of compound inference systems
Lingjiao Chen, Jared Quincy Davis, Boris Hanin, Peter Bailis, Ion Stoica, Matei Zaharia, and James Zou · 2024
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Fangcheng Liu, Yehui Tang, Zhenhua Liu, Yunsheng Ni, Kai Han, and Yunhe Wang · 2024
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Aios: Llm agent operating system
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Reflexion: Language agents with verbal reinforcement learning
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Preble: Efficient distributed prompt scheduling for llm serving
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Rethinking the bounds of llm reasoning: Are multi-agent discussions the key?
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Mathchat: Converse to tackle challenging math problems with llm agents
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Travelplanner: A benchmark for real-world planning with language agents
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Tree of thoughts: Deliberate problem solving with large language models
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A survey on efficient inference for large language models
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