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Recent years witnessed significant performance advancements in deep-learning-driven natural language models, with a strong focus on the development and release of Large Language Models (LLMs).
On the acceptability of arguments and its fundamental role in nonmonotonic reasoning, logic programming and n-person games
P. M. Dung · 1995
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Argumentation in artificial intelligence
T. J. Bench-Capon and P. E. Dunne · 2007
Earlier work this paper cites.
A review of current defeasible reasoning implementations
D. Bryant and P. Krause · 2008
Earlier work this paper cites.
Aspartix: Implementing argumentation frameworks using answer-set programming
U. Egly, S. A. Gaggl, and S. Woltran · 2008
Earlier work this paper cites.
Why do humans reason? Arguments for an argumentative theory
H. Mercier and D. Sperber · 2011
Earlier work this paper cites.
Mujoco: A physics engine for model-based control
E. Todorov, T. Erez, and Y. Tassa · 2012
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Attention is all you need
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser, and I. Polosukhin · 2017
Earlier work this paper cites.
Quantization and training of neural networks for efficient integer-arithmetic-only inference
B. Jacob, S. Kligys, B. Chen, M. Zhu, M. Tang, A. Howard, H. Adam, and D. Kalenichenko · 2018
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Longformer: The long-document transformer
I. Beltagy, M. E. Peters, and A. Cohan · 2020
Earlier work this paper cites.
Aspartix-v19-an answer-set programming based system for abstract argumentation
W. Dvořák, A. Rapberger, J. P. Wallner, and S. Woltran · 2020
Earlier work this paper cites.
Large language models are zero-shot reasoners
T. Kojima, S. S. Gu, M. Reid, Y. Matsuo, and Y. Iwasawa · 2022
Earlier work this paper cites.
Mind’s eye: Grounded language model reasoning through simulation
R. Liu, J. Wei, S. S. Gu, T.-Y. Wu, S. Vosoughi, C. Cui, D. Zhou, and A. M. Dai · 2022
Earlier work this paper cites.
Gqa: Training generalized multi-query transformer models from multi-head checkpoints
J. Ainslie, J. Lee-Thorp, M. de Jong, Y. Zemlyanskiy, F. Lebrón, and S. Sanghai · 2023
Cited alongside, same era.
Y. Bang, S. Cahyawijaya, N. Lee, W. Dai, D. Su, B. Wilie, H. Lovenia, Z. Ji, T. Yu, W. Chung, et al · 2023
Cited alongside, same era.
A survey on evaluation of large language models
Y. Chang, X. Wang, J. Wang, Y. Wu, K. Zhu, H. Chen, L. Yang, X. Yi, C. Wang, Y. Wang, W. Ye, Y. Zhang, Y. Chang, P. S. Yu, Q. Yang, and X. Xie · 2023
Cited alongside, same era.
Contrastive chain-of-thought prompting
Y. K. Chia, G. Chen, L. A. Tuan, S. Poria, and L. Bing · 2023
Cited alongside, same era.
Are emergent abilities of large language models a mirage?
R. Schaeffer, B. Miranda, and S. Koyejo · 2023
Later among the works it cites.
ChatGPT is fun, but not an author
H. H. Thorp · 2023
Later among the works it cites.
Self-consistency improves chain of thought reasoning in language models, 2023
X. Wang, J. Wei, D. Schuurmans, Q. Le, E. Chi, S. Narang, A. Chowdhery, and D. Zhou · 2023
Later among the works it cites.
Tree of thoughts: Deliberate problem solving with large language models
S. Yao, D. Yu, J. Zhao, I. Shafran, T. L. Griffiths, Y. Cao, and K. Narasimhan · 2023
Later among the works it cites.
A survey of large language models
W. X. Zhao, K. Zhou, J. Li, T. Tang, X. Wang, Y. Hou, Y. Min, B. Zhang, J. Zhang, Z. Dong, et al · 2023
Later among the works it cites.
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S. Frieder, L. Pinchetti, R.-R. Griffiths, T. Salvatori, T. Lukasiewicz, P. C. Petersen, A. Chevalier, and J. Berner · 2023
Cited alongside, same era.
Mamba: Linear-time sequence modeling with selective state spaces, 2023
A. Gu and T. Dao · 2023
Cited alongside, same era.
Large language models need symbolic ai
K. Hammond and D. Leake · 2023
Cited alongside, same era.
Mistral 7B, 2023
A. Q. Jiang, A. Sablayrolles, A. Mensch, C. Bamford, D. S. Chaplot, D. de las Casas, F. Bressand, G. Lengyel, G. Lample, L. Saulnier, L. R. Lavaud, M.-A. Lachaux, P. Stock, T. L. Scao, T. Lavril, T. Wang, T. Lacroix, and W. E. Sayed · 2023
Cited alongside, same era.
Theory of mind may have spontaneously emerged in large language models
M. Kosinski · 2023
Cited alongside, same era.
Dissociating language and thought in large language models: a cognitive perspective
K. Mahowald, A. A. Ivanova, I. A. Blank, N. Kanwisher, J. B. Tenenbaum, and E. Fedorenko · 2023
Cited alongside, same era.
GPT-4 technical report, 2023
OpenAI · 2023
Cited alongside, same era.
Computational argumentation-based Chatbots: a survey, 2024a
F. Castagna, N. Kökciyan, I. Sassoon, S. Parsons, and E. Sklar
Cited in the paper.
The Claude 3 model family: Opus, Sonnet, Haiku
Anthropic · 2024
Closest in time.
Graph of thoughts: Solving elaborate problems with large language models
M. Besta, N. Blach, A. Kubicek, R. Gerstenberger, M. Podstawski, L. Gianinazzi, J. Gajda, T. Lehmann, H. Niewiadomski, P. Nyczyk, et al · 2024
Closest in time.
Quantization
H. Face · 2024
Closest in time.
Introducing Meta Llama 3: The most capable openly available LLM to date
Meta · 2024
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The Rise of Small Language Models
K. Mok · 2024
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Open Release of Grok-1
xAI · 2024
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