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Autonomous agents based on Large Language Models (LLMs) that devise plans and tackle real-world challenges have gained prominence.However, tailoring these agents for specialized domains like quantitative investment remains a formidable task.
Dense Passage Retrieval for Open-Domain Question Answering, September 2020
Karpukhin, V., Oğuz, B., Min, S., Lewis, P., Wu, L., Edunov, S., Chen, D., and Yih, W.-t · 2004
Earlier work this paper cites.
Introduction to Alpha Design
Tulchinsky, I · 2019
Earlier work this paper cites.
LoRA: Low-Rank Adaptation of Large Language Models, October 2021
Hu, E. J., Shen, Y., Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., and Chen, W · 2021
Earlier work this paper cites.
Is Pessimism Provably Efficient for Offline RL?
Jin, Y., Yang, Z., and Wang, Z · 2021
Earlier work this paper cites.
An Explanation of In-context Learning as Implicit Bayesian Inference
Xie, S. M., Raghunathan, A., Liang, P., and Ma, T · 2021
Earlier work this paper cites.
Language Models Can Teach Themselves to Program Better
Haluptzok, P., Bowers, M., and Kalai, A. T · 2022
Earlier work this paper cites.
ReAct: Synergizing Reasoning and Acting in Language Models
Yao, S., Zhao, J., Yu, D., Du, N., Shafran, I., Narasimhan, K. R., and Cao, Y · 2022
Earlier work this paper cites.
Liu, Z., Hu, H., Zhang, S., Guo, H., Ke, S., Liu, B., and Wang, Z · 2023
Earlier work this paper cites.
Self-Refine: Iterative Refinement with Self-Feedback
Madaan, A., Tandon, N., Gupta, P., Hallinan, S., Gao, L., Wiegreffe, S., Alon, U., Dziri, N., Prabhumoye, S., Yang, Y., Welleck, S., Majumder, B. P., Gupta, S., Yazdanbakhsh, A., and Clark, P · 2023
Cited alongside, same era.
yoheinakajima/babyagi, February 2024
Nakajima, Y · 2023
Cited alongside, same era.
OpenAI · 2023
Cited alongside, same era.
Mathematical discoveries from program search with large language models
Romera-Paredes, B., Barekatain, M., Novikov, A., Balog, M., Kumar, M. P., Dupont, E., Ruiz, F. J. R., Ellenberg, J. S., Wang, P., Fawzi, O., Kohli, P., and Fawzi, A · 2023
Cited alongside, same era.
Toolformer: Language Models Can Teach Themselves to Use Tools
Schick, T., Dwivedi-Yu, J., Dessi, R., Raileanu, R., Lomeli, M., Hambro, E., Zettlemoyer, L., Cancedda, N., and Scialom, T · 2023
Cited alongside, same era.
Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph
Sun, J., Xu, C., Tang, L., Wang, S., Lin, C., Gong, Y., Ni, L., Shum, H.-Y., and Guo, J · 2023
Later among the works it cites.
Llama 2: Open Foundation and Fine-Tuned Chat Models, July 2023
Touvron, H., Martin, L., Stone, K., Albert, P., Almahairi, A., Babaei, Y., Bashlykov, N., Batra, S., Bhargava, P., Bhosale, S., Bikel, D., Blecher, L., Ferrer, C. C., Chen, M., Cucurull, G., Esiobu, D., Fernandes, J., Fu, J., Fu, W., Fuller, B., Gao, C., Goswami, V., Goyal, N., Hartshorn, A., Hosseini, S., Hou, R., Inan, H., Kardas, M., Kerkez, V., Khabsa, M., Kloumann, I., Korenev, A., Koura, P. S., Lachaux, M.-A., Lavril, T., Lee, J., Liskovich, D., Lu, Y., Mao, Y., Martinet, X., Mihaylov, T., Mishra, P., Molybog, I., Nie, Y., Poulton, A., Reizenstein, J., Rungta, R., Saladi, K., Schelten, A., Silva, R., Smith, E. M., Subramanian, R., Tan, X. E., Tang, B., Taylor, R., Williams, A., Kuan, J. X., Xu, P., Yan, Z., Zarov, I., Zhang, Y., Fan, A., Kambadur, M., Narang, S., Rodriguez, A., Stojnic, R., Edunov, S., and Scialom, T · 2023
Later among the works it cites.
LLM Powered Autonomous Agents, June 2023
Weng, L · 2023
Later among the works it cites.
Tree of Thoughts: Deliberate Problem Solving with Large Language Models
Yao, S., Yu, D., Zhao, J., Shafran, I., Griffiths, T. L., Cao, Y., and Narasimhan, K. R · 2023
Later among the works it cites.
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AutoGPT, February 2024
Significant Gravitas · 2023
Cited alongside, same era.
Cognitive Architectures for Language Agents, September 2023
Sumers, T. R., Yao, S., Narasimhan, K., and Griffiths, T. L · 2023
Cited alongside, same era.
Voyager: An Open-Ended Embodied Agent with Large Language Models, October 2023a
Wang, G., Xie, Y., Jiang, Y., Mandlekar, A., Xiao, C., Zhu, Y., Fan, L., and Anandkumar, A
Cited in the paper.
A Principled Framework for Knowledge-enhanced Large Language Model, November 2023b
Wang, S., Liu, Z., Wang, Z., and Guo, J
Cited in the paper.
Alpha-GPT: Human-AI Interactive Alpha Mining for Quantitative Investment, July 2023c
Wang, S., Yuan, H., Zhou, L., Ni, L. M., Shum, H.-Y., and Guo, J
Cited in the paper.
Aligning Large Language Models with Human: A Survey, July 2023d
Wang, Y., Zhong, W., Li, L., Mi, F., Zeng, X., Huang, W., Shang, L., Jiang, X., and Liu, Q
Cited in the paper.
Large Language Models can Learn Rules, October 2023
Zhu, Z., Xue, Y., Chen, X., Zhou, D., Tang, J., Schuurmans, D., and Dai, H · 2023
Later among the works it cites.
Retrieval-Augmented Generation for Large Language Models: A Survey, January 2024
Gao, Y., Xiong, Y., Gao, X., Jia, K., Pan, J., Bi, Y., Dai, Y., Sun, J., Guo, Q., Wang, M., and Wang, H · 2024
Closest in time.
Solving olympiad geometry without human demonstrations
Trinh, T. H., Wu, Y., Le, Q. V., He, H., and Luong, T · 2024
Closest in time.