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Step-by-step decision planning with large language models (LLMs) is gaining attention in AI agent development.
Intelligent agents: Theory and practice
Wooldridge, M. and Jennings, N. R · 1995
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A tutorial on conformal prediction
Shafer, G. and Vovk, V · 2008
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Artificial intelligence a modern approach
Russell, S. J. and Norvig, P · 2010
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Uncertainty quantification: theory, implementation, and applications , volume 12
Smith, R. C · 2013
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Learning phrase representations using rnn encoder-decoder for statistical machine translation
Cho, K., Van Merriënboer, B., Gulcehre, C., Bahdanau, D., Bougares, F., Schwenk, H., and Bengio, Y · 2014
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Mutual information neural estimation
Belghazi, M. I., Baratin, A., Rajeshwar, S., Ozair, S., Bengio, Y., Courville, A., and Hjelm, D · 2018
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A simple unified framework for detecting out-of-distribution samples and adversarial attacks
Lee, K., Lee, K., Lee, H., and Shin, J · 2018
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Relevant and informative response generation using pointwise mutual information
Takayama, J. and Arase, Y · 2019
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Unsupervised quality estimation for neural machine translation
Fomicheva, M., Sun, S., Yankovskaya, L., Blain, F., Guzmán, F., Fishel, M., Aletras, N., Chaudhary, V., and Specia, L · 2020
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Retrieval augmented language model pre-training
Guu, K., Lee, K., Tung, Z., Pasupat, P., and Chang, M · 2020
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Uncertainty estimation in autoregressive structured prediction
Malinin, A. and Gales, M · 2020
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Mobilebert: a compact task-agnostic bert for resource-limited devices
Sun, Z., Yu, H., Song, X., Liu, R., Yang, Y., and Zhou, D · 2020
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Neural methods for point-wise dependency estimation
Tsai, Y.-H. H., Zhao, H., Yamada, M., Morency, L.-P., and Salakhutdinov, R. R · 2020
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Decision transformer: Reinforcement learning via sequence modeling
Chen, L., Lu, K., Rajeswaran, A., Lee, K., Grover, A., Laskin, M., Abbeel, P., Srinivas, A., and Mordatch, I · 2021
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Webgpt: Browser-assisted question-answering with human feedback
Nakano, R., Hilton, J., Balaji, S., Wu, J., Ouyang, L., Kim, C., Hesse, C., Jain, S., Kosaraju, V., Saunders, W., et al · 2021
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Self-supervised representation learning with relative predictive coding
Tsai, Y.-H. H., Ma, M. Q., Yang, M., Zhao, H., Morency, L.-P., and Salakhutdinov, R · 2021
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Do as i can, not as i say: Grounding language in robotic affordances
Ahn, M., Brohan, A., Brown, N., Chebotar, Y., Cortes, O., David, B., Finn, C., Fu, C., Gopalakrishnan, K., Hausman, K., et al · 2022
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Inner monologue: Embodied reasoning through planning with language models
Huang, W., Xia, F., Xiao, T., Chan, H., Liang, J., Florence, P., Zeng, A., Tompson, J., Mordatch, I., Chebotar, Y., et al · 2022
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Few-shot learning with retrieval augmented language models
Izacard, G., Lewis, P., Lomeli, M., Hosseini, L., Petroni, F., Schick, T., Dwivedi-Yu, J., Joulin, A., Riedel, S., and Grave, E · 2022
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Language models (mostly) know what they know
Kadavath, S., Conerly, T., Askell, A., Henighan, T., Drain, D., Perez, E., Schiefer, N., Hatfield-Dodds, Z., DasSarma, N., Tran-Johnson, E., et al · 2022
Cited alongside, same era.
Pre-trained language models for interactive decision-making
Li, S., Puig, X., Paxton, C., Du, Y., Wang, C., Fan, L., Chen, T., Huang, D.-A., Akyürek, E., Anandkumar, A., et al · 2022
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Out-of-distribution detection and selective generation for conditional language models
Ren, J., Luo, J., Zhao, Y., Krishna, K., Saleh, M., Lakshminarayanan, B., and Liu, P. J · 2022
Cited alongside, same era.
Mutual information alleviates hallucinations in abstractive summarization
van der Poel, L., Cotterell, R., and Meister, C · 2022
Cited alongside, same era.
Uncertainty estimation of transformer predictions for misclassification detection
Generating with confidence: Uncertainty quantification for black-box large language models
Lin, Z., Trivedi, S., and Sun, J · 2023
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Chameleon: Plug-and-play compositional reasoning with large language models
Lu, P., Peng, B., Cheng, H., Galley, M., Chang, K.-W., Wu, Y. N., Zhu, S.-C., and Gao, J · 2023
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Gpt-4 technical report, 2023
OpenAI, :, Achiam, J., Adler, S., Agarwal, S., Ahmad, L., Akkaya, I., Aleman, F. L., Almeida, D., Altenschmidt, J., Altman, S., Anadkat, S., Avila, R., Babuschkin, I., Balaji, S., Balcom, V., Baltescu, P., Bao, H., Bavarian, M., Belgum, J., Bello, I., Berdine, J., Bernadett-Shapiro, G., Berner, C., Bogdonoff, L., Boiko, O., Boyd, M., Brakman, A.-L., Brockman, G., Brooks, T., Brundage, M., Button, K., Cai, T., Campbell, R., Cann, A., Carey, B., Carlson, C., Carmichael, R., Chan, B., Chang, C., Chantzis, F., Chen, D., Chen, S., Chen, R., Chen, J., Chen, M., Chess, B., Cho, C., Chu, C., Chung, H. W., Cummings, D., Currier, J., Dai, Y., Decareaux, C., Degry, T., Deutsch, N., Deville, D., Dhar, A., Dohan, D., Dowling, S., Dunning, S., Ecoffet, A., Eleti, A., Eloundou, T., Farhi, D., Fedus, L., Felix, N., Fishman, S. P., Forte, J., Fulford, I., Gao, L., Georges, E., Gibson, C., Goel, V., Gogineni, T., Goh, G., Gontijo-Lopes, R., Gordon, J., Grafstein, M., Gray, S., Greene, R., Gross, J., Gu, S. S., Guo, Y., Hallacy, C., Han, J., Harris, J., He, Y., Heaton, M., Heidecke, J., Hesse, C., Hickey, A., Hickey, W., Hoeschele, P., Houghton, B., Hsu, K., Hu, S., Hu, X., Huizinga, J., Jain, S., Jain, S., Jang, J., Jiang, A., Jiang, R., Jin, H., Jin, D., Jomoto, S., Jonn, B., Jun, H., Kaftan, T., Łukasz Kaiser, Kamali, A., Kanitscheider, I., Keskar, N. S., Khan, T., Kilpatrick, L., Kim, J. W., Kim, C., Kim, Y., Kirchner, H., Kiros, J., Knight, M., Kokotajlo, D., Łukasz Kondraciuk, Kondrich, A., Konstantinidis, A., Kosic, K., Krueger, G., Kuo, V., Lampe, M., Lan, I., Lee, T., Leike, J., Leung, J., Levy, D., Li, C. M., Lim, R., Lin, M., Lin, S., Litwin, M., Lopez, T., Lowe, R., Lue, P., Makanju, A., Malfacini, K., Manning, S., Markov, T., Markovski, Y., Martin, B., Mayer, K., Mayne, A., McGrew, B., McKinney, S. M., McLeavey, C., McMillan, P., McNeil, J., Medina, D., Mehta, A., Menick, J., Metz, L., Mishchenko, A., Mishkin, P., Monaco, V., Morikawa, E., Mossing, D., Mu, T., Murati, M., Murk, O., Mély, D., Nair, A., Nakano, R., Nayak, R., Neelakantan, A., Ngo, R., Noh, H., Ouyang, L., O’Keefe, C., Pachocki, J., Paino, A., Palermo, J., Pantuliano, A., Parascandolo, G., Parish, J., Parparita, E., Passos, A., Pavlov, M., Peng, A., Perelman, A., de Avila Belbute Peres, F., Petrov, M., de Oliveira Pinto, H. P., Michael, Pokorny, Pokrass, M., Pong, V., Powell, T., Power, A., Power, B., Proehl, E., Puri, R., Radford, A., Rae, J., Ramesh, A., Raymond, C., Real, F., Rimbach, K., Ross, C., Rotsted, B., Roussez, H., Ryder, N., Saltarelli, M., Sanders, T., Santurkar, S., Sastry, G., Schmidt, H., Schnurr, D., Schulman, J., Selsam, D., Sheppard, K., Sherbakov, T., Shieh, J., Shoker, S., Shyam, P., Sidor, S., Sigler, E., Simens, M., Sitkin, J., Slama, K., Sohl, I., Sokolowsky, B., Song, Y., Staudacher, N., Such, F. P., Summers, N., Sutskever, I., Tang, J., Tezak, N., Thompson, M., Tillet, P., Tootoonchian, A., Tseng, E., Tuggle, P., Turley, N., Tworek, J., Uribe, J. F. C., Vallone, A., Vijayvergiya, A., Voss, C., Wainwright, C., Wang, J. J., Wang, A., Wang, B., Ward, J., Wei, J., Weinmann, C., Welihinda, A., Welinder, P., Weng, J., Weng, L., Wiethoff, M., Willner, D., Winter, C., Wolrich, S., Wong, H., Workman, L., Wu, S., Wu, J., Wu, M., Xiao, K., Xu, T., Yoo, S., Yu, K., Yuan, Q., Zaremba, W., Zellers, R., Zhang, C., Zhang, M., Zhao, S., Zheng, T., Zhuang, J., Zhuk, W., and Zoph, B · 2023
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Vazhentsev, A., Kuzmin, G., Shelmanov, A., Tsvigun, A., Tsymbalov, E., Fedyanin, K., Panov, M., Panchenko, A., Gusev, G., Burtsev, M., et al · 2022
Cited alongside, same era.
React: Synergizing reasoning and acting in language models
Yao, S., Zhao, J., Yu, D., Du, N., Shafran, I., Narasimhan, K., and Cao, Y · 2022
Cited alongside, same era.
Yoo, K., Kim, J., Jang, J., and Kwak, N · 2022
Cited alongside, same era.
Rl4f: Generating natural language feedback with reinforcement learning for repairing model outputs
Akyürek, A. F., Akyürek, E., Madaan, A., Kalyan, A., Clark, P., Wijaya, D., and Tandon, N · 2023
Cited alongside, same era.
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., and Farajtabar, M · 2023
Cited alongside, same era.
Emergent autonomous scientific research capabilities of large language models
Boiko, D. A., MacKnight, R., and Gomes, G · 2023
Cited alongside, same era.
Rt-2: Vision-language-action models transfer web knowledge to robotic control
Brohan, A., Brown, N., Carbajal, J., Chebotar, Y., Chen, X., Choromanski, K., Ding, T., Driess, D., Dubey, A., Finn, C., et al · 2023
Cited alongside, same era.
Ad-autogpt: An autonomous gpt for alzheimer’s disease infodemiology
Dai, H., Li, Y., Liu, Z., Zhao, L., Wu, Z., Song, S., Shen, Y., Zhu, D., Li, X., Li, S., et al · 2023
Cited alongside, same era.
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Generative agents: Interactive simulacra of human behavior
Park, J. S., O’Brien, J., Cai, C. J., Morris, M. R., Liang, P., and Bernstein, M. S · 2023
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Peng, B., Galley, M., He, P., Cheng, H., Xie, Y., Hu, Y., Huang, Q., Liden, L., Yu, Z., Chen, W., et al · 2023
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Communicative agents for software development
Qian, C., Cong, X., Yang, C., Chen, W., Su, Y., Xu, J., Liu, Z., and Sun, M · 2023
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Quach, V., Fisch, A., Schuster, T., Yala, A., Sohn, J. H., Jaakkola, T. S., and Barzilay, R · 2023
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Robots that ask for help: Uncertainty alignment for large language model planners
Ren, A. Z., Dixit, A., Bodrova, A., Singh, S., Tu, S., Brown, N., Xu, P., Takayama, L., Xia, F., Varley, J., et al · 2023
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Toolformer: Language models can teach themselves to use tools
Schick, T., Dwivedi-Yu, J., Dessì, R., Raileanu, R., Lomeli, M., Zettlemoyer, L., Cancedda, N., and Scialom, T · 2023
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Languagempc: Large language models as decision makers for autonomous driving
Sha, H., Mu, Y., Jiang, Y., Chen, L., Xu, C., Luo, P., Li, S. E., Tomizuka, M., Zhan, W., and Ding, M · 2023
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Cognitive architectures for language agents
Sumers, T. R., Yao, S., Narasimhan, K., and Griffiths, T. L · 2023
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Large language models in medicine
Thirunavukarasu, A. J., Ting, D. S. J., Elangovan, K., Gutierrez, L., Tan, T. F., and Ting, D. S. W · 2023
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Multimodal large language model for visual navigation
Tsai, Y.-H. H., Dhar, V., Li, J., Zhang, B., and Zhang, J · 2023
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Autogen: Enabling next-gen llm applications via multi-agent conversation framework
Wu, Q., Bansal, G., Zhang, J., Wu, Y., Zhang, S., Zhu, E., Li, B., Jiang, L., Zhang, X., and Wang, C · 2023
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Auto-gpt for online decision making: Benchmarks and additional opinions
Yang, H., Yue, S., and He, Y · 2023
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Siren’s song in the ai ocean: A survey on hallucination in large language models
Zhang, Y., Li, Y., Cui, L., Cai, D., Liu, L., Fu, T., Huang, X., Zhao, E., Zhang, Y., Chen, Y., et al · 2023
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Navgpt: Explicit reasoning in vision-and-language navigation with large language models
Zhou, G., Hong, Y., and Wu, Q · 2023
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Mixtral of experts, 2024
Jiang, A. Q., Sablayrolles, A., Roux, A., Mensch, A., Savary, B., Bamford, C., Chaplot, D. S., de las Casas, D., Hanna, E. B., Bressand, F., Lengyel, G., Bour, G., Lample, G., Lavaud, L. R., Saulnier, L., Lachaux, M.-A., Stock, P., Subramanian, S., Yang, S., Antoniak, S., Scao, T. L., Gervet, T., Lavril, T., Wang, T., Lacroix, T., and Sayed, W. E · 2024
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