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Prompting techniques have significantly enhanced the capabilities of Large Language Models (LLMs) across various complex tasks, including reasoning, planning, and solving math word problems.
Three models for the description of language,
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On certain formal properties of grammars,
N. Chomsky, · 1959
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Training second-order recurrent neural networks using hints,
C. W. Omlin, C. L. Giles, · 1992
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Extraction, insertion and refinement of symbolic rules in dynamically driven recurrent neural networks,
C. L. Giles, C. W. Omlin, · 1993
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Extraction of rules from discrete-time recurrent neural networks,
C. W. Omlin, C. L. Giles, · 1996
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Constructing deterministic finite-state automata in recurrent neural networks,
C. W. Omlin, C. L. Giles, · 1996
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Analysing mathematical reasoning abilities of neural models,
D. Saxton, E. Grefenstette, F. Hill, P. Kohli, · 2019
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Recognizing long grammatical sequences using recurrent networks augmented with an external differentiable stack,
A. Mali, A. Ororbia, D. Kifer, L. Giles, · 2021
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Recognizing and verifying mathematical equations using multiplicative differential neural units,
A. Mali, A. G. Ororbia, D. Kifer, C. L. Giles, · 2021
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Math multiple choice question solving and distractor generation with attentional gru networks.,
N. Dave, R. Bakes, B. Pursel, C. L. Giles, · 2021
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Training verifiers to solve math word problems,
K. Cobbe, V. Kosaraju, M. Bavarian, M. Chen, H. Jun, L. Kaiser, M. Plappert, J. Tworek, J. Hilton, R. Nakano, et al., · 2021
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Measuring mathematical problem solving with the math dataset,
D. Hendrycks, C. Burns, S. Kadavath, A. Arora, S. Basart, E. Tang, D. Song, J. Steinhardt, · 2021
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Chain-of-thought prompting elicits reasoning in large language models,
J. Wei, X. Wang, D. Schuurmans, M. Bosma, F. Xia, E. Chi, Q. V. Le, D. Zhou, et al., · 2022
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Metamath: Bootstrap your own mathematical questions for large language models,
L. Yu, W. Jiang, H. Shi, J. Yu, Z. Liu, Y. Zhang, J. T. Kwok, Z. Li, A. Weller, W. Liu, · 2023
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Mathematical capabilities of chatgpt,
S. Frieder, L. Pinchetti, , R.-R. Griffiths, T. Salvatori, T. Lukasiewicz, P. Petersen, J. Berner, · 2023
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Tree of thoughts: Deliberate problem solving with large language models,
S. Yao, D. Yu, J. Zhao, I. Shafran, T. Griffiths, Y. Cao, K. Narasimhan, · 2024
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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
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Stability analysis of various symbolic rule extraction methods from recurrent neural network,
N. Dave, D. Kifer, C. L. Giles, A. Mali, · 2024
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A primer for neural arithmetic logic modules,
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On the computational complexity and formal hierarchy of second order recurrent neural networks,
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Llemma: An open language model for mathematics,
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