Mukul Singh

Orcid: 0000-0001-9510-4512

According to our database1, Mukul Singh authored at least 24 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
An Empirical Study of Validating Synthetic Data for Formula Generation.
CoRR, 2024

Semantically Aligned Question and Code Generation for Automated Insight Generation.
LLM4CODE@ICSE, 2024

One-to-many testing for code generation from (just) natural language.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

RAR: Retrieval-augmented retrieval for code generation in low resource languages.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

<i> Tabularis Revilio: </i> Converting Text to Tables.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

EmFORE: Learning Email Folder Classification Rules by Demonstration.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
FormaT5: Abstention and Examples for Conditional Table Formatting with Natural Language.
Proc. VLDB Endow., November, 2023

Deep Learning Model Based CO2 Emissions Prediction Using Vehicle Telematics Sensors Data.
IEEE Trans. Intell. Veh., January, 2023

CORNET: Learning Spreadsheet Formatting Rules By Example.
Proc. VLDB Endow., 2023

CORNET: Learning Table Formatting Rules By Example.
Proc. VLDB Endow., 2023

Assessing GPT4-V on Structured Reasoning Tasks.
CoRR, 2023

TST<sup>R</sup>: Target Similarity Tuning Meets the Real World.
CoRR, 2023

DataVinci: Learning Syntactic and Semantic String Repairs.
CoRR, 2023

Demonstration of CORNET: A System For Learning Spreadsheet Formatting Rules By Example.
CoRR, 2023

From Words to Code: Harnessing Data for Program Synthesis from Natural Language.
CoRR, 2023

Personalized action suggestions in low-code automation platforms.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: ICSE 2023 Companion Proceedings, 2023

CodeFusion: A Pre-trained Diffusion Model for Code Generation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

InstructExcel: A Benchmark for Natural Language Instruction in Excel.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

TSTR: Target Similarity Tuning Meets the Real World.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

EmFore: Online Learning of Email Folder Classification Rules.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
A Genetic Algorithm and RNN-LSTM Model for Remaining Battery Capacity Prediction.
J. Comput. Inf. Sci. Eng., 2022

CORNET: A neurosymbolic approach to learning conditional table formatting rules by example.
CoRR, 2022

2021
Transfer learning-based ensemble support vector machine model for automated COVID-19 detection using lung computerized tomography scan data.
Medical Biol. Eng. Comput., 2021

2020
A Comparative Analysis on Economic Load Dispatch Problem Using Soft Computing Techniques.
Int. J. Softw. Sci. Comput. Intell., 2020


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