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Large language models (LLMs) produce seemingly meaningful outputs, yet they are trained on text alone without direct interaction with the world.
de Saussure, F. (1916), Cours de Linguistique Générale
1916
Earlier work this paper cites.
Firth, J. R. (1957), Papers in Linguistics, 1934-1951
1951
Earlier work this paper cites.
Harris, Z. S. (1954), ‘Distributional structure’, Word
1954
Earlier work this paper cites.
Chomsky, N. (1957), Syntactic Structures
1957
Earlier work this paper cites.
Montague, R. (1970), ‘Universal Grammar’, Theoria
1970
Earlier work this paper cites.
Simon, H. A. & Newell, A. (1971), ‘Human problem solving: The state of the theory in 1970’, American Psychologist
1970
Earlier work this paper cites.
Wright, L. (1973), ‘Functions’, The Philosophical Review
1973
Earlier work this paper cites.
Shortliffe, E. H. (1977), ‘Mycin: A Knowledge-Based Computer Program Applied to Infectious Diseases’, Proceedings of the Annual Symposium on Computer Application in Medical Care
1977
Earlier work this paper cites.
Searle, J. R. (1980), ‘Minds, brains and programs’, Behavioral and Brain Sciences
1980
Earlier work this paper cites.
Partee, B. H. (1981), Montague Grammar, Mental Representations, and Reality, in
1981
Earlier work this paper cites.
Haiman, J. (1985), Iconicity in Syntax
1985
Earlier work this paper cites.
Block, N. (1986), ‘Advertisement for a Semantics for Psychology’, Midwest Studies in Philosophy
1986
Earlier work this paper cites.
Mcclelland, J. L., Rumelhart, D. E. & Group, P. R. (1986), Parallel Distributed Processing, Explorations in the Microstructure of Cognition
1986
Earlier work this paper cites.
Millikan, R. G. (1989), ‘In defense of proper functions’, Philosophy of Science
1989
Earlier work this paper cites.
Fodor, J. A. (1990), A Theory of Content and Other Essays
1990
Earlier work this paper cites.
Harnad, S. (1990), ‘The symbol-grounding problem’, Physica D
1990
Earlier work this paper cites.
Clark, H. H. & Brennan, S. E. (1991), Grounding in communication, in
1991
Earlier work this paper cites.
Neander, K. (1991), ‘Functions as selected effects: The conceptual analyst’s defence’, Philosophy of Science
1991
Earlier work this paper cites.
Brandom, R. (1994), Making It Explicit: Reasoning, Representing, and Discursive Commitment
1994
Earlier work this paper cites.
Godfrey-Smith, P. (1994), ‘A modern history theory of functions’, Noûs
1994
Earlier work this paper cites.
Traum, D. R. (1994), A Computational Theory of Grounding in Natural Language Conversation, Ph.d. thesis, University of Rochester, Rochester, NY
1994
Earlier work this paper cites.
Brennan, S. E. (1998), The grounding problem in conversations with and through computers, in
1998
Earlier work this paper cites.
Barsalou, L. W. (1999), ‘Perceptual symbol systems’, Behavioral and Brain Sciences
1999
Earlier work this paper cites.
Pulvermüller, F. (1999), ‘Words in the brain’s language’, Behavioural and Brain Sciences
1999
Earlier work this paper cites.
Stalnaker, R. (2002), ‘Common Ground’, Linguistics and Philosophy
2002
Earlier work this paper cites.
Description based upon print version of record
Tomasello, M. (2009), Cultural Origins of Human Cognition · 2009
Earlier work this paper cites.
Van Langendonck, W. (2010), Iconicity, in
2010
Earlier work this paper cites.
Poon, H. (2013), Grounded Unsupervised Semantic Parsing, in
2013
Earlier work this paper cites.
Perniss, P. & Vigliocco, G. (2014), ‘The bridge of iconicity: From a world of experience to the experience of language’, Philosophical Transactions of the Royal Society B: Biological Sciences
2014
Earlier work this paper cites.
Sterelny, K. (2014), The evolved apprentice
2014
Earlier work this paper cites.
Coelho Mollo, D. (2015), ‘Being clear on content’, Philosophia
2015
Earlier work this paper cites.
LeCun, Y., Bengio, Y. & Hinton, G. (2015), ‘Deep learning’, Nature
2015
Cited alongside, same era.
Tishby, N. & Zaslavsky, N. (2015), ‘Deep Learning and the Information Bottleneck Principle’
2015
Cited alongside, same era.
Artiga, M. (2016), ‘New perspectives on artifactual and biological functions’, Applied Ontology
2016
Cited alongside, same era.
Tsai, C.-T. & Roth, D. (2016), ‘Concept Grounding to Multiple Knowledge Bases via Indirect Supervision’, Transactions of the Association for Computational Linguistics
2016
Cited alongside, same era.
Christiano, P. F., Leike, J., Brown, T., Martic, M., Legg, S. & Amodei, D. (2017), Deep Reinforcement Learning from Human Preferences, in
2017
Cited alongside, same era.
Bubeck, S., Chandrasekaran, V., Eldan, R., Gehrke, J., Horvitz, E., Kamar, E., Lee, P., Lee, Y. T., Li, Y., Lundberg, S., Nori, H., Palangi, H., Ribeiro, M. T. & Zhang, Y. (2023), ‘Sparks of Artificial General Intelligence: Early experiments with GPT-4’
2023
Closest in time.
Chalmers, D. J. (2023), ‘Does Thought Require Sensory Grounding? From Pure Thinkers to Large Language Models’, Proceedings and Addresses of the American Philosophical Association
2023
Closest in time.
Harding, J. (2023), ‘Operationalising Representation in Natural Language Processing’
2023
Closest in time.
Li, K., Hopkins, A. K., Bau, D., Viégas, F., Pfister, H. & Wattenberg, M. (2023), ‘Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task’
2023
Closest in time.
Nanda, N., Lee, A. & Wattenberg, M. (2023), Emergent Linear Representations in World Models of Self-Supervised Sequence Models, in
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2017
Cited alongside, same era.
Neander, K. (2017), A Mark of the Mental: in defense of informational semantics
2017
Cited alongside, same era.
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, L. & Polosukhin, I. (2017), ‘Attention is all you need’
2017
Cited alongside, same era.
Includes bibliographical references and index
Heyes, C. M. (2018), Cognitive gadgets · 2018
Cited alongside, same era.
Shea, N. (2018), Representation in Cognitive Science
2018
Cited alongside, same era.
Coelho Mollo, D. (2019), ‘Are there teleological functions to compute?’, Philosophy of Science
2019
Cited alongside, same era.
Garson, J. (2019), What Biological Functions Are and Why They Matter
2019
Cited alongside, same era.
2023
Closest in time.
OpenAI (2023), ‘GPT-4 Technical Report’
2023
Closest in time.
Srivastava, A., Rastogi, A., Rao, A., Shoeb, A. A. M., Abid, A., Fisch, A., Brown, A. R., Santoro, A., Gupta, A., Garriga-Alonso, A., Kluska, A., Lewkowycz, A., Agarwal, A., Power, A., Ray, A., Warstadt, A., Kocurek, A. W., Safaya, A., Tazarv, A., Xiang, A., Parrish, A., Nie, A., Hussain, A., Askell, A., Dsouza, A., Slone, A., Rahane, A., Iyer, A. S., Andreassen, A. J., Madotto, A., Santilli, A., Stuhlmüller, A., Dai, A. M., La, A., Lampinen, A., Zou, A., Jiang, A., Chen, A., Vuong, A., Gupta, A., Gottardi, A., Norelli, A., Venkatesh, A., Gholamidavoodi, A., Tabassum, A., Menezes, A., Kirubarajan, A., Mullokandov, A., Sabharwal, A., Herrick, A., Efrat, A., Erdem, A., Karakaş, A., Roberts, B. R., Loe, B. S., Zoph, B., Bojanowski, B., Özyurt, B., Hedayatnia, B., Neyshabur, B., Inden, B., Stein, B., Ekmekci, B., Lin, B. Y., Howald, B., Orinion, B., Diao, C., Dour, C., Stinson, C., Argueta, C., Ferri, C., Singh, C., Rathkopf, C., Meng, C., Baral, C., Wu, C., Callison-Burch, C., Waites, C., Voigt, C., Manning, C. D., Potts, C., Ramirez, C., Rivera, C. E., Siro, C., Raffel, C., Ashcraft, C., Garbacea, C., Sileo, D., Garrette, D., Hendrycks, D., Kilman, D., Roth, D., Freeman, C. D., Khashabi, D., Levy, D., González, D. M., Perszyk, D., Hernandez, D., Chen, D., Ippolito, D., Gilboa, D., Dohan, D., Drakard, D., Jurgens, D., Datta, D., Ganguli, D., Emelin, D., Kleyko, D., Yuret, D., Chen, D., Tam, D., Hupkes, D., Misra, D., Buzan, D., Mollo, D. C., Yang, D., Lee, D.-H., Schrader, D., Shutova, E., Cubuk, E. D., Segal, E., Hagerman, E., Barnes, E., Donoway, E., Pavlick, E., Rodolà, E., Lam, E., Chu, E., Tang, E., Erdem, E., Chang, E., Chi, E. A., Dyer, E., Jerzak, E., Kim, E., Manyasi, E. E., Zheltonozhskii, E., Xia, F., Siar, F., Martínez-Plumed, F., Happé, F., Chollet, F., Rong, F., Mishra, G., Winata, G. I., de Melo, G., Kruszewski, G., Parascandolo, G., Mariani, G., Wang, G. X., Jaimovitch-Lopez, G., Betz, G., Gur-Ari, G., Galijasevic, H., Kim, H., Rashkin, H., Hajishirzi, H., Mehta, H., Bogar, H., Shevlin, H. F. A., Schuetze, H., Yakura, H., Zhang, H., Wong, H. M., Ng, I., Noble, I., Jumelet, J., Geissinger, J., Kernion, J., Hilton, J., Lee, J., Fisac, J. F., Simon, J. B., Koppel, J., Zheng, J., Zou, J., Kocon, J., Thompson, J., Wingfield, J., Kaplan, J., Radom, J., Sohl-Dickstein, J., Phang, J., Wei, J., Yosinski, J., Novikova, J., Bosscher, J., Marsh, J., Kim, J., Taal, J., Engel, J., Alabi, J., Xu, J., Song, J., Tang, J., Waweru, J., Burden, J., Miller, J., Balis, J. U., Batchelder, J., Berant, J., Frohberg, J., Rozen, J., Hernandez-Orallo, J., Boudeman, J., Guerr, J., Jones, J., Tenenbaum, J. B., Rule, J. S., Chua, J., Kanclerz, K., Livescu, K., Krauth, K., Gopalakrishnan, K., Ignatyeva, K., Markert, K., Dhole, K., Gimpel, K., Omondi, K., Mathewson, K. W., Chiafullo, K., Shkaruta, K., Shridhar, K., McDonell, K., Richardson, K., Reynolds, L., Gao, L., Zhang, L., Dugan, L., Qin, L., Contreras-Ochando, L., Morency, L.-P., Moschella, L., Lam, L., Noble, L., Schmidt, L., He, L., Oliveros-Colón, L., Metz, L., Senel, L. K., Bosma, M., Sap, M., Hoeve, M. T., Farooqi, M., Faruqui, M., Mazeika, M., Baturan, M., Marelli, M., Maru, M., Ramirez-Quintana, M. J., Tolkiehn, M., Giulianelli, M., Lewis, M., Potthast, M., Leavitt, M. L., Hagen, M., Schubert, M., Baitemirova, M. O., Arnaud, M., McElrath, M., Yee, M. A., Cohen, M., Gu, M., Ivanitskiy, M., Starritt, M., Strube, M., Swędrowski, M., Bevilacqua, M., Yasunaga, M., Kale, M., Cain, M., Xu, M., Suzgun, M., Walker, M., Tiwari, M., Bansal, M., Aminnaseri, M., Geva, M., Gheini, M., T, M. V., Peng, N., Chi, N. A., Lee, N., Krakover, N. G.-A., Cameron, N., Roberts, N., Doiron, N., Martinez, N., Nangia, N., Deckers, N., Muennighoff, N., Keskar, N. S., Iyer, N. S., Constant, N., Fiedel, N., Wen, N., Zhang, O., Agha, O., Elbaghdadi, O., Levy, O., Evans, O., Casares, P. A. M., Doshi, P., Fung, P., Liang, P. P., Vicol, P., Alipoormolabashi, P., Liao, P., Liang, P., Chang, P. W., Eckersley, P., Htut, P. M., Hwang, P., Miłkowski, P., Patil, P., Pezeshkpour, P., Oli, P., Mei, Q., Lyu, Q., Chen, Q., Banjade, R., Rudolph, R. E., Gabriel, R., Habacker, R., Risco, R., Millière, R., Garg, R., Barnes, R., Saurous, R. A., Arakawa, R., Raymaekers, R., Frank, R., Sikand, R., Novak, R., Sitelew, R., Bras, R. L., Liu, R., Jacobs, R., Zhang, R., Salakhutdinov, R., Chi, R. A., Lee, S. R., Stovall, R., Teehan, R., Yang, R., Singh, S., Mohammad, S. M., Anand, S., Dillavou, S., Shleifer, S., Wiseman, S., Gruetter, S., Bowman, S. R., Schoenholz, S. S., Han, S., Kwatra, S., Rous, S. A., Ghazarian, S., Ghosh, S., Casey, S., Bischoff, S., Gehrmann, S., Schuster, S., Sadeghi, S., Hamdan, S., Zhou, S., Srivastava, S., Shi, S., Singh, S., Asaadi, S., Gu, S. S., Pachchigar, S., Toshniwal, S., Upadhyay, S., Debnath, S. S., Shakeri, S., Thormeyer, S., Melzi, S., Reddy, S., Makini, S. P., Lee, S.-H., Torene, S., Hatwar, S., Dehaene, S., Divic, S., Ermon, S., Biderman, S., Lin, S., Prasad, S., Piantadosi, S., Shieber, S., Misherghi, S., Kiritchenko, S., Mishra, S., Linzen, T., Schuster, T., Li, T., Yu, T., Ali, T., Hashimoto, T., Wu, T.-L., Desbordes, T., Rothschild, T., Phan, T., Wang, T., Nkinyili, T., Schick, T., Kornev, T., Tunduny, T., Gerstenberg, T., Chang, T., Neeraj, T., Khot, T., Shultz, T., Shaham, U., Misra, V., Demberg, V., Nyamai, V., Raunak, V., Ramasesh, V. V., vinay uday prabhu, Padmakumar, V., Srikumar, V., Fedus, W., Saunders, W., Zhang, W., Vossen, W., Ren, X., Tong, X., Zhao, X., Wu, X., Shen, X., Yaghoobzadeh, Y., Lakretz, Y., Song, Y., Bahri, Y., Choi, Y., Yang, Y., Hao, Y., Chen, Y., Belinkov, Y., Hou, Y., Hou, Y., Bai, Y., Seid, Z., Zhao, Z., Wang, Z., Wang, Z. J., Wang, Z. & Wu, Z. (2023), ‘Beyond the imitation game: Quantifying and extrapolating the capabilities of language models’, Transactions on Machine Learning Research
2023
Closest in time.
Wolfram, S. (2023), ‘What is chatgpt doing … and why does it work?’, BlogPost, accessed on 23.03.2023. https://writings.stephenwolfram.com/2023/02/what-is-chatgpt-doing-and-why-does-it-work/
2023
Closest in time.
Yuksekgonul, M., Bianchi, F., Kalluri, P., Jurafsky, D. & Zou, J. (2023), ‘When and why vision-language models behave like bags-of-words, and what to do about it?’
2023
Closest in time.
2023
Closest in time.
Bordes, F., Pang, R. Y., Ajay, A., Li, A. C., Bardes, A., Petryk, S., Mañas, O., Lin, Z., Mahmoud, A., Jayaraman, B., Ibrahim, M., Hall, M., Xiong, Y., Lebensold, J., Ross, C., Jayakumar, S., Guo, C., Bouchacourt, D., Al-Tahan, H., Padthe, K., Sharma, V., Xu, H., Tan, X. E., Richards, M., Lavoie, S., Astolfi, P., Hemmat, R. A., Chen, J., Tirumala, K., Assouel, R., Moayeri, M., Talattof, A., Chaudhuri, K., Liu, Z., Chen, X., Garrido, Q., Ullrich, K., Agrawal, A., Saenko, K., Celikyilmaz, A. & Chandra, V. (2024), ‘An Introduction to Vision-Language Modeling’
2024
Closest in time.
Delétang, G., Ruoss, A., Duquenne, P.-A., Catt, E., Genewein, T., Mattern, C., Grau-Moya, J., Wenliang, L. K., Aitchison, M., Orseau, L., Hutter, M. & Veness, J. (2024), ‘Language Modeling Is Compression’
2024
Closest in time.
Goldstein, S. & Levinstein, B. A. (2024), ‘Does ChatGPT Have a Mind?’
2024
Closest in time.
Grindrod, J. (2024), ‘Large language models and linguistic intentionality’, Synthese
2024
Closest in time.
Grzankowski, A. (2024), ‘Real sparks of artificial intelligence and the importance of inner interpretability’, Inquiry
2024
Closest in time.
Kim, M. J., Pertsch, K., Karamcheti, S., Xiao, T., Balakrishna, A., Nair, S., Rafailov, R., Foster, E., Lam, G., Sanketi, P., Vuong, Q., Kollar, T., Burchfiel, B., Tedrake, R., Sadigh, D., Levine, S., Liang, P. & Finn, C. (2024), ‘OpenVLA: An Open-Source Vision-Language-Action Model’
2024
Closest in time.
Lederman, H. & Mahowald, K. (2024), ‘Are language models more like libraries or like librarians? bibliotechnism, the novel reference problem, and the attitudes of llms’
2024
Closest in time.
Mandelkern, M. & Linzen, T. (2024), ‘Do Language Models’ Words Refer?’, Computational Linguistics
2024
Closest in time.
McCoy, R. T., Yao, S., Friedman, D., Hardy, M. D. & Griffiths, T. L. (2024), ‘Embers of autoregression show how large language models are shaped by the problem they are trained to solve’, Proceedings of the National Academy of Sciences
2024
Closest in time.
Merrill, W., Wu, Z., Naka, N., Kim, Y. & Linzen, T. (2024), Can You Learn Semantics Through Next-Word Prediction? The Case of Entailment, in
2024
Closest in time.
Millière, R. & Buckner, C. (2024), ‘A Philosophical Introduction to Language Models – Part I: Continuity With Classic Debates’
2024
Closest in time.
Miracchi Titus, L. (2024), ‘Does ChatGPT have semantic understanding? A problem with the statistics-of-occurrence strategy’, Cognitive Systems Research
2024
Closest in time.
O’Neill, A., Rehman, A., Gupta, A., Maddukuri, A., Gupta, A., Padalkar, A., Lee, A., Pooley, A., Gupta, A., Mandlekar, A., Jain, A., Tung, A., Bewley, A., Herzog, A., Irpan, A., Khazatsky, A., Rai, A., Gupta, A., Wang, A., Kolobov, A., Singh, A., Garg, A., Kembhavi, A., Xie, A., Brohan, A., Raffin, A., Sharma, A., Yavary, A., Jain, A., Balakrishna, A., Wahid, A., Burgess-Limerick, B., Kim, B., Schölkopf, B., Wulfe, B., Ichter, B., Lu, C., Xu, C., Le, C., Finn, C., Wang, C., Xu, C., Chi, C., Huang, C., Chan, C., Agia, C., Pan, C., Fu, C., Devin, C., Xu, D., Morton, D., Driess, D., Chen, D., Pathak, D., Shah, D., Büchler, D., Jayaraman, D., Kalashnikov, D., Sadigh, D., Johns, E., Foster, E., Liu, F., Ceola, F., Xia, F., Zhao, F., Frujeri, F. V., Stulp, F., Zhou, G., Sukhatme, G. S., Salhotra, G., Yan, G., Feng, G., Schiavi, G., Berseth, G., Kahn, G., Yang, G., Wang, G., Su, H., Fang, H.-S., Shi, H., Bao, H., Amor, H. B., Christensen, H. I., Furuta, H., Bharadhwaj, H., Walke, H., Fang, H., Ha, H., Mordatch, I., Radosavovic, I., Leal, I., Liang, J., Abou-Chakra, J., Kim, J., Drake, J., Peters, J., Schneider, J., Hsu, J., Vakil, J., Bohg, J., Bingham, J., Wu, J., Gao, J., Hu, J., Wu, J., Wu, J., Sun, J., Luo, J., Gu, J., Tan, J., Oh, J., Wu, J., Lu, J., Yang, J., Malik, J., Silvério, J., Hejna, J., Booher, J., Tompson, J., Yang, J., Salvador, J., Lim, J. J., Han, J., Wang, K., Rao, K., Pertsch, K., Hausman, K., Go, K., Gopalakrishnan, K., Goldberg, K., Byrne, K., Oslund, K., Kawaharazuka, K., Black, K., Lin, K., Zhang, K., Ehsani, K., Lekkala, K., Ellis, K., Rana, K., Srinivasan, K., Fang, K., Singh, K. P., Zeng, K.-H., Hatch, K., Hsu, K., Itti, L., Chen, L. Y., Pinto, L., Fei-Fei, L., Tan, L., Fan, L. J., Ott, L., Lee, L., Weihs, L., Chen, M., Lepert, M., Memmel, M., Tomizuka, M., Itkina, M., Castro, M. G., Spero, M., Du, M., Ahn, M., Yip, M. C., Zhang, M., Ding, M., Heo, M., Srirama, M. K., Sharma, M., Kim, M. J., Kanazawa, N., Hansen, N., Heess, N., Joshi, N. J., Suenderhauf, N., Liu, N., Palo, N. D., Shafiullah, N. M. M., Mees, O., Kroemer, O., Bastani, O., Sanketi, P. R., Miller, P. T., Yin, P., Wohlhart, P., Xu, P., Fagan, P. D., Mitrano, P., Sermanet, P., Abbeel, P., Sundaresan, P., Chen, Q., Vuong, Q., Rafailov, R., Tian, R., Doshi, R., Mart’in-Mart’in, R., Baijal, R., Scalise, R., Hendrix, R., Lin, R., Qian, R., Zhang, R., Mendonca, R., Shah, R., Hoque, R., Julian, R., Bustamante, S., Kirmani, S., Levine, S., Lin, S., Moore, S., Bahl, S., Dass, S., Sonawani, S., Tulsiani, S., Song, S., Xu, S., Haldar, S., Karamcheti, S., Adebola, S., Guist, S., Nasiriany, S., Schaal, S., Welker, S., Tian, S., Ramamoorthy, S., Dasari, S., Belkhale, S., Park, S., Nair, S., Mirchandani, S., Osa, T., Gupta, T., Harada, T., Matsushima, T., Xiao, T., Kollar, T., Yu, T., Ding, T., Davchev, T., Zhao, T. Z., Armstrong, T., Darrell, T., Chung, T., Jain, V., Kumar, V., Vanhoucke, V., Zhan, W., Zhou, W., Burgard, W., Chen, X., Chen, X., Wang, X., Zhu, X., Geng, X., Liu, X., Liangwei, X., Li, X., Pang, Y., Lu, Y., Ma, Y. J., Kim, Y., Chebotar, Y., Zhou, Y., Zhu, Y., Wu, Y., Xu, Y., Wang, Y., Bisk, Y., Dou, Y., Cho, Y., Lee, Y., Cui, Y., Cao, Y., Wu, Y.-H., Tang, Y., Zhu, Y., Zhang, Y., Jiang, Y., Li, Y., Li, Y., Iwasawa, Y., Matsuo, Y., Ma, Z., Xu, Z., Cui, Z. J., Zhang, Z., Fu, Z. & Lin, Z. (2024), ‘Open X-Embodiment: Robotic Learning Datasets and RT-X Models’
2024
Closest in time.
Rafailov, R., Sharma, A., Mitchell, E., Ermon, S., Manning, C. D. & Finn, C. (2024), ‘Direct Preference Optimization: Your Language Model is Secretly a Reward Model’
2024
Closest in time.
von Oswald, J., Schlegel, M., Meulemans, A., Kobayashi, S., Niklasson, E., Zucchet, N., Scherrer, N., Miller, N., Sandler, M., y Arcas, B. A., Vladymyrov, M., Pascanu, R. & Sacramento, J. (2024), ‘Uncovering mesa-optimization algorithms in Transformers’
2024
Closest in time.
Wu, X. & Varshney, L. R. (2024), A Meta-Learning Perspective on Transformers for Causal Language Modeling, in
2024
Closest in time.
Borg, E. (2025), ‘LLMs, Turing tests and Chinese rooms: The prospects for meaning in large language models’, Inquiry
2025
Closest in time.
Chalmers, D. J. (2025), ‘Propositional Interpretability in Artificial Intelligence’
2025
Closest in time.
Pepp, J. (2025), ‘Reference without intentions in large language models’, Inquiry
2025
Closest in time.
Stoljar, D. & Zhang, Z. V. (2025), ‘Why ChatGPT doesn’t think: An argument from rationality’, Inquiry
2025
Closest in time.