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Large Language Models (LLMs) are transforming artificial intelligence, enabling autonomous agents to perform diverse tasks across various domains.
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer,
Raffel, C., Shazeer, N., Roberts, A., Lee, K., Narang, S., Matena, M., Zhou, Y., Li, W., Liu, P. J., · 1910
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Lewis, M., Liu, Y., Goyal, N., Ghazvininejad, M., Mohamed, A., Levy, O., Stoyanov, V., Zettlemoyer, L., · 1910
Earlier work this paper cites.
Is it an Agent, or just a Program?: A Taxonomy for Autonomous Agents,
Franklin, S., Graesser, A., · 1996
Earlier work this paper cites.
May 2001. The semantic web,
Berners-Lee, T., Hendler, J., Lassila, O., · 2001
Earlier work this paper cites.
Biologically Inspired Computing,
Bongard, J. C., · 2009
Earlier work this paper cites.
Four fundamentals of workplace automation,
Chui, M., Manyika, J., Miremadi, M., · 2015
Earlier work this paper cites.
AlphaGo: using machine learning to master the ancient game of Go,
Hassabis, D., · 2016
Earlier work this paper cites.
AI, automation, and the future of work: Ten things to solve for,
Manyika, J., Sneader, K., · 2018
Earlier work this paper cites.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding,
Devlin, J., Chang, M-W., Lee, K., Toutanova, K., · 2019
Earlier work this paper cites.
RoBERTa: A Robustly Optimized BERT Pretraining Approach,
Liu, Y., Ott, M., Goyal, N., Du, J., Joshi, M., Chen, D., Levy, O., Lewis, M., Zettlemoyer, L., Stoyanov, V., · 2019
Earlier work this paper cites.
Explainable agents and robots: Results from a systematic literature review,
Anjomshoae, S., Najjar, A., Calvaresi, D., Främling, K., · 2019
Earlier work this paper cites.
Fine-tuning language models from human preferences,
Ziegler, D. M., Stiennon, N., Wu, J., Brown, T. B., Radford, A., Amodei, D., Christiano, P., Irving, G., · 2019
Earlier work this paper cites.
Automation and top wealth inequality,
Koru, O. F., · 2020
Earlier work this paper cites.
AlphaFold: A Solution to a 50-year-old grand challenge in biology,
Team, AlphaFold, · 2020
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DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter,
Sanh, V., Debut, L., Chaumond, J., Wolf, T., · 2020
Earlier work this paper cites.
Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network,
Sherstinsky, A., · 2020
Earlier work this paper cites.
Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm,
Reynolds, L., McDonell, K., · 2021
Earlier work this paper cites.
MedFuseNet: An attention-based multimodal deep learning model for visual question answering in the medical domain,
Sharma, D., Purushotham, S., Reddy, C. K., · 2021
Earlier work this paper cites.
Prefix-Tuning: Optimizing Continuous Prompts for Generation,
Li, X. L., Liang, P., · 2021
Earlier work this paper cites.
Increase the Diversity of Your Dataset with Data Augmentation,
Paper, D., Paper, D., · 2021
Earlier work this paper cites.
Test and Evaluation Framework for Multi-Agent Systems of Autonomous Intelligent Agents,
Lanus, E., Hernandez, I., Dachowicz, A., Freeman, L. J., Grande, M., Lang, A., Panchal, J. H., Patrick, A., Welch, S., · 2021
Earlier work this paper cites.
Test and Evaluation Framework for Multi-Agent Systems of Autonomous Intelligent Agents,
Lanus, E., Hernandez, I., Dachowicz, A., Freeman, L. J., Grande, M., Lang, A., Panchal, J. H., Patrick, A., Welch, S., · 2021
Earlier work this paper cites.
Competition-level code generation with AlphaCode,
Li, Y., Choi, D., Chung, J., Kushman, N., Schrittwieser, J., Leblond, R., Eccles, T., Keeling, J., Gimeno, F., Dal Lago, A., Hubert, T., Choy, P., de Masson d’Autume, C., Babuschkin, I., Chen, X., Huang, P., Welbl, J., Gowal, S., Cherepanov, A., Molloy, J., Mankowitz, D. J., Sutherland Robson, E., Kohli, P., de Freitas, N., Kavukcuoglu, K., Vinyals, O., · 2022
Earlier work this paper cites.
LangChain,
Chase, H., · 2022
Earlier work this paper cites.
Late Prompt Tuning: A Late Prompt Could Be Better Than Many Prompts,
Liu, X., Sun, T., Huang, X., Qiu, X., · 2022
Earlier work this paper cites.
Generated Knowledge Prompting for Commonsense Reasoning,
Liu, J., Liu, A., Lu, X., Welleck, S., West, P., Le Bras, R., Choi, Y., Hajishirzi, H., · 2022
Earlier work this paper cites.
Ignore previous prompt: Attack techniques for language models,
Perez, F., Ribeiro, I., · 2022
Earlier work this paper cites.
A Survey on Large Language Model based Autonomous Agents,
Wang, L., Ma, C., Feng, X., Zhang, Z., Yang, H., Zhang, J., Chen, Z., Tang, J., Chen, X., Lin, Y., Zhao, W. X., Wei, Z., Wen, J-R., · 2023
Earlier work this paper cites.
Emergent autonomous scientific research capabilities of large language models,
Boiko, D. A., MacKnight, R., Gomes, G., · 2023
Earlier work this paper cites.
Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives,
Gao, C., Lan, X., Li, N., Yuan, Y., Ding, J., Zhou, Z., Xu, F., Li, Y., · 2023
Earlier work this paper cites.
Peng, C., Yang, X., Smith, K. E., Yu, Z., Chen, A., Bian, J., Wu, Y., · 2023
Earlier work this paper cites.
Turning large language models into cognitive models,
Binz, M., Schulz, E., · 2023
Earlier work this paper cites.
Cognitive Effects in Large Language Models,
Shaki, J., Kraus, S., Wooldridge, M., · 2023
Earlier work this paper cites.
RoCo: Dialectic Multi-Robot Collaboration with Large Language Models,
Mandi, Z., Jain, S., Song, S., · 2023
Earlier work this paper cites.
LLaMA: Open and Efficient Foundation Language Models,
Touvron, H., Lavril, T., Izacard, G., Martinet, X., Lachaux, M-A., Lacroix, T., Rozière, B., Goyal, N., Hambro, E., Azhar, F., et al., · 2023
Earlier work this paper cites.
Achiam, J., Adler, S., Agarwal, S., Ahmad, L., Akkaya, I., Aleman, F. L., Almeida, D., Altenschmidt, J., Altman, S., Anadkat, S., et al., · 2023
Earlier work this paper cites.
ChemCrow: Augmenting large-language models with chemistry tools,
Bran, A. M., Cox, S., Schilter, O., Baldassari, C., White, A. D., Schwaller, P., · 2023
Earlier work this paper cites.
Modeling Complex Mathematical Reasoning via Large Language Model based MathAgent,
Liao, H., Du, Q., Hu, S., He, H., Xu, Y., Tian, J., Jin, Y., · 2023
Earlier work this paper cites.
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation,
Wu, Q., Bansal, G., Zhang, J., Wu, Y., Li, B., Zhu, E., Jiang, L., Zhang, X., Zhang, S., Liu, J., Awadallah, A. H., White, R. W., Burger, D., Wang, C., · 2023
Earlier work this paper cites.
Large Language Models are Few-shot Testers: Exploring LLM-based General Bug Reproduction,
Kang, S., Yoon, J., Yoo, S., · 2023
Cited alongside, same era.
ChatLaw: Open-Source Legal Large Language Model with Integrated External Knowledge Bases,
Cui, J., Li, Z., Yan, Y., Chen, B., Yuan, L., · 2023
Cited alongside, same era.
Formally Specifying the High-Level Behavior of LLM-Based Agents,
Crouse, M., Abdelaziz, I., Basu, K., Dan, S., Kumaravel, S., Fokoue, A., Kapanipathi, P., Lastras, L., · 2023
Cited alongside, same era.
KAXAI: An Integrated Environment for Knowledge Analysis and Explainable AI,
Barua, S., Momen, S., · 2023
Cited alongside, same era.
AVIS: Autonomous Visual Information Seeking with Large Language Model Agent,
Improving Knowledge Extraction from LLMs for Task Learning through Agent Analysis,
Kirk, J. R., Wray, R. E., Lindes, P., · 2023
Later among the works it cites.
From Images to Textual Prompts: Zero-shot VQA with Frozen Large Language Models,
Guo, J., Li, J., Li, D., Tiong, A., Li, B., Tao, D., HOI, S., · 2023
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Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, L., Polosukhin, I., · 2023
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Efficient Streaming Language Models with Attention Sinks,
Xiao, G., Tian, Y., Chen, B., Han, S., Lewis, M., · 2023
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Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models,
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Hu, Z., Iscen, A., Sun, C., Chang, K-W., Sun, Y., Ross, D. A., Schmid, C., Fathi, A., · 2023
Cited alongside, same era.
Review of Large Vision Models and Visual Prompt Engineering,
Wang, J., Liu, Z., Zhao, L., Wu, Z., Ma, C., Yu, S., Dai, H., Yang, Q., Liu, Y., Zhang, S., Shi, E., Pan, Y., Zhang, T., Zhu, D., Li, X., Jiang, X., Ge, B., Yuan, Y., Shen, D., Liu, T., Zhang, S., · 2023
Cited alongside, same era.
Vision Language Models in Autonomous Driving and Intelligent Transportation Systems,
Zhou, X., Liu, M., Zagar, B. L., Yurtsever, E., Knoll, A. C., · 2023
Cited alongside, same era.
Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages,
Zhang, Y., Han, W., Qin, J., Wang, Y., Bapna, A., Chen, Z., Chen, N., Li, B., Axelrod, V., Wang, G., Meng, Z., Hu, K., Rosenberg, A., Prabhavalkar, R., Park, D. S., Haghani, P., Riesa, J., Perng, G., Soltau, H., Strohman, T., Ramabhadran, B., Sainath, T., Moreno, P., Chiu, C-C., Schalkwyk, J., Beaufays, F., Wu, Y., · 2023
Cited alongside, same era.
LLaSM: Large Language and Speech Model,
Shu, Y., Dong, S., Chen, G., Huang, W., Zhang, R., Shi, D., Xiang, Q., Shi, Y., · 2023
Cited alongside, same era.
Prompting Large Language Models with Speech Recognition Abilities,
Fathullah, Y., Wu, C., Lakomkin, E., Jia, J., Shangguan, Y., Li, K., Guo, J., Xiong, W., Mahadeokar, J., Kalinli, O., Fuegen, C., Seltzer, M., · 2023
Cited alongside, same era.
Empowering Working Memory for Large Language Model Agents,
Guo, J., Li, N., Qi, J., Yang, H., Li, R., Feng, Y., Zhang, S., Xu, M., · 2023
Cited alongside, same era.
Efficient Memory Management for Large Language Model Serving with PagedAttention,
Kwon, W., Li, Z., Zhuang, S., Sheng, Y., Zheng, L., Yu, C. H., Gonzalez, J. E., Zhang, H., Stoica, I., · 2023
Cited alongside, same era.
Wang, Q., Ding, L., Cao, Y., Tian, Z., Wang, S., Tao, D., Guo, L., · 2023
Later among the works it cites.
Leveraging Large Language Models in Conversational Recommender Systems,
Friedman, L., Ahuja, S., Allen, D., Tan, Z., Sidahmed, H., Long, C., Xie, J., Schubiner, G., Patel, A., Lara, H., Chu, B., Chen, Z., Tiwari, M., · 2023
Later among the works it cites.
Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations,
Wei, Z., Wang, Y., Wang, Y., · 2023
Later among the works it cites.
The Vendi Score: A Diversity Evaluation Metric for Machine Learning,
Friedman, D., Dieng, A. B., · 2023
Later among the works it cites.
Aligning Large Language Models with Human: A Survey,
Wang, Y., Zhong, W., Li, L., Mi, F., Zeng, X., Huang, W., Shang, L., Jiang, X., Liu, Q., · 2023
Later among the works it cites.
Mitigating Large Language Model Hallucinations via Autonomous Knowledge Graph-based Retrofitting,
Guan, X., Liu, Y., Lin, H., Lu, Y., He, B., Han, X., Sun, L., · 2023
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LLM Lies: Hallucinations are not Bugs, but Features as Adversarial Examples,
Yao, J., Ning, K., Liu, Z., Ning, M., Yuan, L., · 2023
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Creating Trustworthy LLMs: Dealing with Hallucinations in Healthcare AI,
Ahmad, M. A., Yaramis, I., Dutta Roy, T., · 2023
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Self-Adaptive Large Language Model (LLM)-Based Multiagent Systems,
Nascimento, N., Alencar, P., Cowan, D., · 2023
Later among the works it cites.
The Rise and Potential of Large Language Model Based Agents: A Survey,
Xi, Z., Chen, W., Guo, X., He, W., Ding, Y., Hong, B., Zhang, M., Wang, J., Jin, S., Zhou, E., Zheng, R., Fan, X., Wang, X., Xiong, L., Zhou, Y., Wang, W., Jiang, C., Zou, Y., Liu, X., Yin, Z., Dou, S., Weng, R., Cheng, W., Zhang, Q., Qin, W., Zheng, Y., Qiu, X., Huang, X., Gui, T., · 2023
Later among the works it cites.
AgentBench: Evaluating LLMs as Agents,
Liu, X., Yu, H., Zhang, H., Xu, Y., Lei, X., Lai, H., Gu, Y., Ding, H., Men, K., Yang, K., Zhang, S., Deng, X., Zeng, A., Du, Z., Zhang, C., Shen, S., Zhang, T., Su, Y., Sun, H., Huang, M., Dong, Y., Tang, J., · 2023
Later among the works it cites.
Towards Autonomous Testing Agents via Conversational Large Language Models,
Feldt, R., Kang, S., Yoon, J., Yoo, S., · 2023
Later among the works it cites.
Enhancing Trust in LLM-Based AI Automation Agents: New Considerations and Future Challenges,
Schwartz, S., Yaeli, A., Shlomov, S., · 2023
Later among the works it cites.
WebArena: A Realistic Web Environment for Building Autonomous Agents,
Zhou, S., Xu, F. F., Zhu, H., Zhou, X., Lo, R., Sridhar, A., Cheng, X., Ou, T., Bisk, Y., Fried, D., Alon, U., Neubig, G., · 2023
Later among the works it cites.
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs,
Qin, Y., Liang, S., Ye, Y., Zhu, K., Yan, L., Lu, Y., Lin, Y., Cong, X., Tang, X., Qian, B., Zhao, S., Tian, R., Xie, R., Zhou, J., Gerstein, M., Li, D., Liu, Z., Sun, M., · 2023
Later among the works it cites.
Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects,
Cheng, Y., Zhang, C., Zhang, Z., Meng, X., Hong, S., Li, W., Wang, Z., Wang, Z., Yin, F., Zhao, J., He, X., · 2024
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Large Language Models for Robotics: Opportunities, Challenges, and Perspectives,
Wang, J., Wu, Z., Li, Y., Jiang, H., Shu, P., Shi, E., Hu, H., Ma, C., Liu, Y., Wang, X., Yao, Y., Liu, X., Zhao, H., Liu, Z., Dai, H., Zhao, L., Ge, B., Li, X., Liu, T., Zhang, S., · 2024
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ProAgent: Building Proactive Cooperative Agents with Large Language Models,
Zhang, C., Yang, K., Hu, S., Wang, Z., Li, G., Sun, Y., Zhang, C., Zhang, Z., Liu, A., Zhu, S-C., Chang, X., Zhang, J., Yin, F., Liang, Y., Yang, Y., · 2024
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LLM in a flash: Efficient Large Language Model Inference with Limited Memory,
Alizadeh, K., Mirzadeh, I., Belenko, D., Khatamifard, K., Cho, M., Del Mundo, C. C., Rastegari, M., Farajtabar, M., · 2024
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EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction,
Yuan, S., Song, K., Chen, J., Tan, X., Shen, Y., Kan, R., Li, D., Yang, D., · 2024
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Large language models help computer programs to evolve,
Mouret, J-B., · 2024
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Solving olympiad geometry without human demonstrations,
Trinh, T. H., Wu, Y., Le, Q. V., He, H., Luong, T., · 2024
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Accessed: 22 January, 2024
LiteLLM Documentation, · 2024
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mPLUG-PaperOwl: Scientific Diagram Analysis with the Multimodal Large Language Model,
Hu, A., Shi, Y., Xu, H., Ye, J., Ye, Q., Yan, M., Li, C., Qian, Q., Zhang, J., Huang, F., · 2024
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VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks,
Koh, J. Y., Lo, R., Jang, L., Duvvur, V., Lim, M. C., Huang, P., Neubig, G., Zhou, S., Salakhutdinov, R., Fried, D., · 2024
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Embodied intelligence in manufacturing: leveraging large language models for autonomous industrial robotics,
Fan, H., Liu, X., Fuh, J. Y. H., Lu, W. F., Li, B., · 2024
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Large Language Model based Multi-Agents: A Survey of Progress and Challenges,
Guo, T., Chen, X., Wang, Y., Chang, R., Pei, S., Chawla, N. V., Wiest, O., Zhang, X., · 2024
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LimSim++: A Closed-Loop Platform for Deploying Multimodal LLMs in Autonomous Driving,
Fu, D., Lei, W., Wen, L., Cai, P., Mao, S., Dou, M., Shi, B., Qiao, Y., · 2024
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Evil Geniuses: Delving into the Safety of LLM-based Agents,
Tian, Y., Yang, X., Zhang, J., Dong, Y., Su, H., · 2024
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Towards better Human-Agent Alignment: Assessing Task Utility in LLM-Powered Applications,
Arabzadeh, N., Kiseleva, J., Wu, Q., Wang, C., Awadallah, A., Dibia, V., Fourney, A., Clarke, C., · 2024
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Prioritizing Safeguarding Over Autonomy: Risks of LLM Agents for Science,
Tang, X., Jin, Q., Zhu, K., Yuan, T., Zhang, Y., Zhou, W., Qu, M., Zhao, Y., Tang, J., Zhang, Z., Cohan, A., Lu, Z., Gerstein, M., · 2024
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AgentLens: Visual Analysis for Agent Behaviors in LLM-based Autonomous Systems,
Lu, J., Pan, B., Chen, J., Feng, Y., Hu, J., Peng, Y., Chen, W., · 2024
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Evaluating Language-Model Agents on Realistic Autonomous Tasks,
Kinniment, M., Sato, L. J. K., Du, H., Goodrich, B., Hasin, M., Chan, L., Miles, L. H., Lin, T. R., Wijk, H., Burget, J., Ho, A., Barnes, E., Christiano, P., · 2024
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Understanding the planning of LLM agents: A survey,
Huang, X., Liu, W., Chen, X., Wang, X., Wang, H., Lian, D., Wang, Y., Tang, R., Chen, E., · 2024
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