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Ensuring reliable data-driven decisions is crucial in domains where analytical accuracy directly impacts safety, compliance, or operational outcomes.
2021
Earlier work this paper cites.
L. P. Manik, Z. Akbar, H. F. Mustika, A. Indrawati, D. S. Rini, A. D. Fefirenta, T. Djarwaningsih, Out-of-scope intent detection on a knowledge-based chatbot., International Journal of Intelligent Engineering & Systems 14 (5) (2021)
2021
Earlier work this paper cites.
2022
Earlier work this paper cites.
J. Wei, X. Wang, D. Schuurmans, M. Bosma, F. Xia, E. Chi, Q. V. Le, D. Zhou, et al., Chain-of-thought prompting elicits reasoning in large language models, Advances in neural information processing systems 35 (2022) 24824–24837
2022
Earlier work this paper cites.
2022
Earlier work this paper cites.
2022
Earlier work this paper cites.
M. Leung, G. Murphy, On automated assistants for software development: the role of llms, 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE) (2023) 1737–1741 doi:10.1109/ase56229.2023.00035
2023
Earlier work this paper cites.
2023
Earlier work this paper cites.
A. T. P. Boudewijn, A. F. Ferraris, D. Panfilo, V. Cocca, S. Zinutti, K. De Schepper, C. R. Chauvenet, Privacy measurements in tabular synthetic data: State of the art and future research directions, in: NeurIPS 2023 Workshop on Synthetic Data Generation with Generative AI, 2023
2023
Earlier work this paper cites.
2023
Earlier work this paper cites.
2023
Earlier work this paper cites.
2023
Earlier work this paper cites.
Z. Jin, W. Lu, Tab-cot: Zero-shot tabular chain of thought, arXiv preprint arXiv:2305.17812 (2023)
2023
Earlier work this paper cites.
2023
Earlier work this paper cites.
2023
Earlier work this paper cites.
2023
Earlier work this paper cites.
M. Turpin, J. Michael, E. Perez, S. Bowman, Language models don’t always say what they think: Unfaithful explanations in chain-of-thought prompting, Advances in Neural Information Processing Systems 36 (2023) 74952–74965
2023
Cited alongside, same era.
2023
Cited alongside, same era.
2023
Cited alongside, same era.
2023
Cited alongside, same era.
2024
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doi:10.1145/3626772.3657807
X. Lin, W. Wang, Y. Li, S. Yang, F. Feng, Y. Wei, T.-S. Chua, Data-efficient fine-tuning for llm-based recommendation , in: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR ’24, Association for Computing Machinery, New York, NY, USA, 2024, p. 365–374 · 2024
Later among the works it cites.
2024
Later among the works it cites.
2024
Later among the works it cites.
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doi:10.3390/app14031046
M. Liu, J. Wang, T. Lin, Q. Ma, Z. Fang, Y. Wu, An empirical study of the code generation of safety-critical software using llms, Applied Sciences 14 (2024) 1046 · 2024
Cited alongside, same era.
Y. Chang, X. Wang, J. Wang, Y. Wu, L. Yang, K. Zhu, H. Chen, X. Yi, C. Wang, Y. Wang, et al., A survey on evaluation of large language models, ACM Transactions on Intelligent Systems and Technology 15 (3) (2024) 1–45
2024
Cited alongside, same era.
doi:10.3390/fi16060180
N. Marques, Using chatgpt in software requirements engineering: a comprehensive review, Future Internet 16 (2024) 180 · 2024
Cited alongside, same era.
L. Wang, C. Ma, X. Feng, Z. Zhang, H. Yang, J. Zhang, Z. Chen, J. Tang, X. Chen, Y. Lin, et al., A survey on large language model based autonomous agents, Frontiers of Computer Science 18 (6) (2024) 186345
2024
Cited alongside, same era.
A. G. Khoee, Y. Yu, R. Feldt, A. Freimanis, P. A. Rhodin, D. Parthasarathy, Gonogo: An efficient llm-based multi-agent system for streamlining automotive software release decision-making, in: IFIP International Conference on Testing Software and Systems, Springer, 2024, pp. 30–45
2024
Cited alongside, same era.
X. Fang, W. Xu, F. A. Tan, J. Zhang, Z. Hu, Y. J. Qi, S. Nickleach, D. Socolinsky, S. Sengamedu, C. Faloutsos, et al., Large language models (llms) on tabular data: Prediction, generation, and understanding-a survey (2024)
2024
Cited alongside, same era.
2024
Cited alongside, same era.
2024
Cited alongside, same era.
2024
Later among the works it cites.
J. Ye, M. Du, G. Wang, DataFrame QA: A Universal LLM Framework on DataFrame Question Answering Without Data Exposure , version Number: 1 (2024) · 2024
Later among the works it cites.
doi:10.18653/v1/2024.acl-long.564
R. Mouravieff, B. Piwowarski, S. Lamprier, Learning relational decomposition of queries for question answering from tables , in: L.-W. Ku, A. Martins, V. Srikumar (Eds.), Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Association for Computational Linguistics, Bangkok, Thailand, 2024, pp. 10471–10485 · 2024
Later among the works it cites.
2024
Later among the works it cites.
H. Dai, B. Wang, X. Wan, B. Dai, S. Yang, A. Nova, P. Yin, M. Phothilimthana, C. Sutton, D. Schuurmans, UQE: A query engine for unstructured databases, Advances in Neural Information Processing Systems 37 (2024) 29807–29838
2024
Later among the works it cites.
R. Agarwal, A. Singh, L. Zhang, B. Bohnet, L. Rosias, S. Chan, B. Zhang, A. Anand, Z. Abbas, A. Nova, et al., Many-shot in-context learning, Advances in Neural Information Processing Systems 37 (2024) 76930–76966
2024
Later among the works it cites.
C. Qin, A. Zhang, C. Chen, A. Dagar, W. Ye, In-context learning with iterative demonstration selection, in: Findings of the Association for Computational Linguistics: EMNLP 2024, 2024, pp. 7441–7455
2024
Later among the works it cites.
Z. Zhou, R. Tao, J. Zhu, Y. Luo, Z. Wang, B. Han, Can language models perform robust reasoning in chain-of-thought prompting with noisy rationales?, Advances in Neural Information Processing Systems 37 (2024) 123846–123910
2024
Later among the works it cites.
2024
Later among the works it cites.
K. Stechly, K. Valmeekam, S. Kambhampati, Chain of thoughtlessness? an analysis of cot in planning, Advances in Neural Information Processing Systems 37 (2024) 29106–29141
2024
Later among the works it cites.
2025
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