Sumit Gulwani

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 108

Top Venues

CoRR

Proc. ACM Program. Lang.

AAAI

CHI

Publications

Usneek Singh, José Cambronero, Sumit Gulwani, Aditya Kanade, Anirudh Khatry, Vu Le, Mukul Singh, Gust Verbruggen
An Empirical Study of Validating Synthetic Data for Formula Generation. CoRR (2024)
Paul Denny, Sumit Gulwani, Neil T. Heffernan, Tanja Käser, Steven Moore, Anna N. Rafferty, Adish Singla
Generative AI for Education (GAIED): Advances, Opportunities, and Challenges. CoRR (2024)
Jialu Zhang, José Pablo Cambronero, Sumit Gulwani, Vu Le, Ruzica Piskac, Gustavo Soares, Gust Verbruggen
PyDex: Repairing Bugs in Introductory Python Assignments using LLMs. Proc. ACM Program. Lang. 8 (OOPSLA1) (2024)
Mukul Singh, Gust Verbruggen, José Cambronero, Vu Le, Sumit Gulwani
EmFORE: Learning Email Folder Classification Rules by Demonstration. AAAI (2024)
Param Biyani, Yasharth Bajpai, Arjun Radhakrishna, Gustavo Soares, Sumit Gulwani
RUBICON: Rubric-Based Evaluation of Domain-Specific Human AI Conversations. AIware (2024)
Anjali Singh, Anna Fariha, Christopher Brooks, Gustavo Soares, Austin Z. Henley, Ashish Tiwari, Chethan M, Heeryung Choi, Sumit Gulwani
Investigating Student Mistakes in Introductory Data Science Programming. SIGCSE (1) (2024)
Bhavya Chopra, Yasharth Bajpai, Param Biyani, Gustavo Soares, Arjun Radhakrishna, Chris Parnin, Sumit Gulwani
Exploring Interaction Patterns for Debugging: Enhancing Conversational Capabilities of AI-assistants. CoRR (2024)
Ananya Singha, Bhavya Chopra, Anirudh Khatry, Sumit Gulwani, Austin Z. Henley, Vu Le, Chris Parnin, Mukul Singh, Gust Verbruggen
Semantically Aligned Question and Code Generation for Automated Insight Generation. CoRR (2024)
Pronita Mehrotra, Aishni Parab, Sumit Gulwani
Enhancing Creativity in Large Language Models through Associative Thinking Strategies. CoRR (2024)
Tung Phung, Victor-Alexandru Padurean, Anjali Singh, Christopher Brooks, José Cambronero, Sumit Gulwani, Adish Singla, Gustavo Soares
Automating Human Tutor-Style Programming Feedback: Leveraging GPT-4 Tutor Model for Hint Generation and GPT-3.5 Student Model for Hint Validation. LAK (2024)
Priyanshu Gupta, Shashank Kirtania, Ananya Singha, Sumit Gulwani, Arjun Radhakrishna, Sherry Shi, Gustavo Soares
METAREFLECTION: Learning Instructions for Language Agents using Past Reflections. CoRR (2024)
Harshit Joshi, Abishai Ebenezer, José Pablo Cambronero Sánchez, Sumit Gulwani, Aditya Kanade, Vu Le, Ivan Radicek, Gust Verbruggen
FLAME: A Small Language Model for Spreadsheet Formulas. AAAI (2024)
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Gust Verbruggen
CodeFusion: A Pre-trained Diffusion Model for Code Generation. EMNLP (2023)
José Cambronero, Sumit Gulwani, Vu Le, Daniel Perelman, Arjun Radhakrishna, Clint Simon, Ashish Tiwari
FlashFill++: Scaling Programming by Example by Cutting to the Chase. Proc. ACM Program. Lang. 7 (POPL) (2023)
Tung Phung, Victor-Alexandru Padurean, José Cambronero, Sumit Gulwani, Tobias Kohn, Rupak Majumdar, Adish Singla, Gustavo Soares
Generative AI for Programming Education: Benchmarking ChatGPT, GPT-4, and Human Tutors. CoRR (2023)
Bhavya Chopra, Anna Fariha, Sumit Gulwani, Austin Z. Henley, Daniel Perelman, Mohammad Raza, Sherry Shi, Danny Simmons, Ashish Tiwari
CoWrangler: Recommender System for Data-Wrangling Scripts. SIGMOD Conference Companion (2023)
Priyanshu Gupta, Avishree Khare, Yasharth Bajpai, Saikat Chakraborty, Sumit Gulwani, Aditya Kanade, Arjun Radhakrishna, Gustavo Soares, Ashish Tiwari
Grace: Language Models Meet Code Edits. ESEC/SIGSOFT FSE (2023)
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Gust Verbruggen
DataVinci: Learning Syntactic and Semantic String Repairs. CoRR (2023)
Anirudh Khatry, Yasharth Bajpai, Priyanshu Gupta, Sumit Gulwani, Ashish Tiwari
Augmented Embeddings for Custom Retrievals. CoRR (2023)
Harshit Joshi, José Pablo Cambronero Sánchez, Sumit Gulwani, Vu Le, Gust Verbruggen, Ivan Radicek
Repair Is Nearly Generation: Multilingual Program Repair with LLMs. AAAI (2023)
Mukul Singh, José Pablo Cambronero Sánchez, Sumit Gulwani, Vu Le, Carina Negreanu, Mohammad Raza, Gust Verbruggen
CORNET: Learning Table Formatting Rules By Example. Proc. VLDB Endow. 16 (10) (2023)
Priyanshu Gupta, Avishree Khare, Yasharth Bajpai, Saikat Chakraborty, Sumit Gulwani, Aditya Kanade, Arjun Radhakrishna, Gustavo Soares, Ashish Tiwari
GrACE: Generation using Associated Code Edits. CoRR (2023)
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Elnaz Nouri, Mohammad Raza, Gust Verbruggen
FormaT5: Abstention and Examples for Conditional Table Formatting with Natural Language. Proc. VLDB Endow. 17 (3) (2023)
Ananya Singha, José Cambronero, Sumit Gulwani, Vu Le, Chris Parnin
Tabular Representation, Noisy Operators, and Impacts on Table Structure Understanding Tasks in LLMs. CoRR (2023)
Saksham Gupta, Gust Verbruggen, Mukul Singh, Sumit Gulwani, Vu Le
Personalized action suggestions in low-code automation platforms. ICSE Companion (2023)
Anirudh Khatry, Sumit Gulwani, Priyanshu Gupta, Vu Le, Mukul Singh, Ananya Singha, Gust Verbruggen
TSTR: Target Similarity Tuning Meets the Real World. EMNLP (Findings) (2023)
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Elnaz Nouri, Mohammad Raza, Gust Verbruggen
FormaT5: Abstention and Examples for Conditional Table Formatting with Natural Language. CoRR (2023)
Saksham Gupta, Gust Verbruggen, Mukul Singh, Sumit Gulwani, Vu Le
Personalized action suggestions in low-code automation platforms. CoRR (2023)
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Gust Verbruggen
Demonstration of CORNET: A System For Learning Spreadsheet Formatting Rules By Example. CoRR (2023)
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen
Assessing GPT4-V on Structured Reasoning Tasks. CoRR (2023)
Tung Phung, José Cambronero, Sumit Gulwani, Tobias Kohn, Rupak Majumdar, Adish Singla, Gustavo Soares
Generating High-Precision Feedback for Programming Syntax Errors using Large Language Models. EDM (2023)
Priyan Vaithilingam, Elena L. Glassman, Peter Groenwegen, Sumit Gulwani, Austin Z. Henley, Rohan Malpani, David Pugh, Arjun Radhakrishna, Gustavo Soares, Joey Wang, Aaron Yim
Towards More Effective AI-Assisted Programming: A Systematic Design Exploration to Improve Visual Studio IntelliCode's User Experience. ICSE-SEIP (2023)
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen
EmFore: Online Learning of Email Folder Classification Rules. CIKM (2023)
Mukul Singh, José Pablo Cambronero Sánchez, Sumit Gulwani, Vu Le, Carina Negreanu, Gust Verbruggen
CORNET: Learning Spreadsheet Formatting Rules By Example. Proc. VLDB Endow. 16 (12) (2023)
Anirudh Khatry, Sumit Gulwani, Priyanshu Gupta, Vu Le, Ananya Singha, Mukul Singh, Gust Verbruggen
: Target Similarity Tuning Meets the Real World. CoRR (2023)
Bhavya Chopra, Ananya Singha, Anna Fariha, Sumit Gulwani, Chris Parnin, Ashish Tiwari, Austin Z. Henley
Conversational Challenges in AI-Powered Data Science: Obstacles, Needs, and Design Opportunities. CoRR (2023)
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Gust Verbruggen
CodeFusion: A Pre-trained Diffusion Model for Code Generation. CoRR (2023)
Tung Phung, Victor-Alexandru Padurean, Anjali Singh, Christopher Brooks, José Cambronero, Sumit Gulwani, Adish Singla, Gustavo Soares
Automating Human Tutor-Style Programming Feedback: Leveraging GPT-4 Tutor Model for Hint Generation and GPT-3.5 Student Model for Hint Validation. CoRR (2023)
Harshit Joshi, Abishai Ebenezer, José Cambronero, Sumit Gulwani, Aditya Kanade, Vu Le, Ivan Radicek, Gust Verbruggen
FLAME: A small language model for spreadsheet formulas. CoRR (2023)
Chris Parnin, Gustavo Soares, Rahul Pandita, Sumit Gulwani, Jessica Rich, Austin Z. Henley
Building Your Own Product Copilot: Challenges, Opportunities, and Needs. CoRR (2023)
Tung Phung, José Cambronero, Sumit Gulwani, Tobias Kohn, Rupak Majumdar, Adish Singla, Gustavo Soares
Generating High-Precision Feedback for Programming Syntax Errors using Large Language Models. CoRR (2023)
Anirudh Khatry, Joyce Cahoon, Jordan Henkel, Shaleen Deep, K. Venkatesh Emani, Avrilia Floratou, Sumit Gulwani, Vu Le, Mohammad Raza, Sherry Shi, Mukul Singh, Ashish Tiwari
From Words to Code: Harnessing Data for Program Synthesis from Natural Language. CoRR (2023)
Yuhao Zhang, Yasharth Bajpai, Priyanshu Gupta, Ameya Ketkar, Miltiadis Allamanis, Titus Barik, Sumit Gulwani, Arjun Radhakrishna, Mohammad Raza, Gustavo Soares, Ashish Tiwari
Overwatch: learning patterns in code edit sequences. Proc. ACM Program. Lang. 6 (OOPSLA2) (2022)
Sumit Gulwani
AI-assisted programming: applications, user experiences, and neuro-symbolic techniques (keynote). ESEC/SIGSOFT FSE (2022)
Yuhao Zhang, Yasharth Bajpai, Priyanshu Gupta, Ameya Ketkar, Miltiadis Allamanis, Titus Barik, Sumit Gulwani, Arjun Radhakrishna, Mohammad Raza, Gustavo Soares, Ashish Tiwari
Overwatch: Learning Patterns in Code Edit Sequences. CoRR (2022)
Jialu Zhang, José Cambronero, Sumit Gulwani, Vu Le, Ruzica Piskac, Gustavo Soares, Gust Verbruggen
Repairing Bugs in Python Assignments Using Large Language Models. CoRR (2022)
Mukul Singh, José Pablo Cambronero Sánchez, Sumit Gulwani, Vu Le, Carina Negreanu, Mohammad Raza, Gust Verbruggen
CORNET: A neurosymbolic approach to learning conditional table formatting rules by example. CoRR (2022)
Gabriel Poesia, Alex Polozov, Vu Le, Ashish Tiwari, Gustavo Soares, Christopher Meek, Sumit Gulwani
Synchromesh: Reliable Code Generation from Pre-trained Language Models. ICLR (2022)
Harshit Joshi, José Pablo Cambronero Sánchez, Sumit Gulwani, Vu Le, Ivan Radicek, Gust Verbruggen
Repair Is Nearly Generation: Multilingual Program Repair with LLMs. CoRR (2022)
Titus Barik, Sumit Gulwani, Mario Juarez
Storytelling and science. Commun. ACM 65 (10) (2022)
Gabriel Poesia, Oleksandr Polozov, Vu Le, Ashish Tiwari, Gustavo Soares, Christopher Meek, Sumit Gulwani
Synchromesh: Reliable code generation from pre-trained language models. CoRR (2022)
Tung Phung, Victor-Alexandru Padurean, José Cambronero, Sumit Gulwani, Tobias Kohn, Rupak Majumdar, Adish Singla, Gustavo Soares
Generative AI for Programming Education: Benchmarking ChatGPT, GPT-4, and Human Tutors. ICER (2) (2022)
Rohan Bavishi, Harshit Joshi, José Cambronero, Anna Fariha, Sumit Gulwani, Vu Le, Ivan Radicek, Ashish Tiwari
Neurosymbolic repair for low-code formula languages. Proc. ACM Program. Lang. 6 (OOPSLA2) (2022)
Zhengkai Wu, Vu Le, Ashish Tiwari, Sumit Gulwani, Arjun Radhakrishna, Ivan Radicek, Gustavo Soares, Xinyu Wang, Zhenwen Li, Tao Xie
NL2Viz: natural language to visualization via constrained syntax-guided synthesis. ESEC/SIGSOFT FSE (2022)
Rohan Bavishi, Harshit Joshi, José Pablo Cambronero Sánchez, Anna Fariha, Sumit Gulwani, Vu Le, Ivan Radicek, Ashish Tiwari
Neurosymbolic Repair for Low-Code Formula Languages. CoRR (2022)
Rangeet Pan, Vu Le, Nachiappan Nagappan, Sumit Gulwani, Shuvendu K. Lahiri, Mike Kaufman
Can Program Synthesis be Used to Learn Merge Conflict Resolutions? An Empirical Analysis. CoRR (2021)
Rangeet Pan, Vu Le, Nachiappan Nagappan, Sumit Gulwani, Shuvendu K. Lahiri, Mike Kaufman
Can Program Synthesis be Used to Learn Merge Conflict Resolutions? An Empirical Analysis. ICSE (2021)
Kia Rahmani, Mohammad Raza, Sumit Gulwani, Vu Le, Daniel Morris, Arjun Radhakrishna, Gustavo Soares, Ashish Tiwari
Multi-modal Program Inference: a Marriage of Pre-trainedLanguage Models and Component-based Synthesis. CoRR (2021)
Anna Fariha, Ashish Tiwari, Arjun Radhakrishna, Sumit Gulwani, Alexandra Meliou
Conformance Constraint Discovery: Measuring Trust in Data-Driven Systems. SIGMOD Conference (2021)
Wode Ni, Joshua Sunshine, Vu Le, Sumit Gulwani, Titus Barik
reCode : A Lightweight Find-and-Replace Interaction in the IDE for Transforming Code by Example. UIST (2021)
Anna Fariha, Ashish Tiwari, Alexandra Meliou, Arjun Radhakrishna, Sumit Gulwani
CoCo: Interactive Exploration of Conformance Constraints for Data Understanding and Data Cleaning. SIGMOD Conference (2021)
Gust Verbruggen, Vu Le, Sumit Gulwani
Semantic programming by example with pre-trained models. Proc. ACM Program. Lang. 5 (OOPSLA) (2021)
Kia Rahmani, Mohammad Raza, Sumit Gulwani, Vu Le, Daniel Morris, Arjun Radhakrishna, Gustavo Soares, Ashish Tiwari
Multi-modal program inference: a marriage of pre-trained language models and component-based synthesis. Proc. ACM Program. Lang. 5 (OOPSLA) (2021)
Xiang Gao, Arjun Radhakrishna, Gustavo Soares, Ridwan Shariffdeen, Sumit Gulwani, Abhik Roychoudhury
APIfix: output-oriented program synthesis for combating breaking changes in libraries. Proc. ACM Program. Lang. 5 (OOPSLA) (2021)
Rajeev Alur, Richard G. Baraniuk, Rastislav Bodík, Ann W. Drobnis, Sumit Gulwani, Bjoern Hartmann, Yasmin B. Kafai, Jeff Karpicke, Ran Libeskind-Hadas, Debra J. Richardson, Armando Solar-Lezama, Candace Thille, Moshe Y. Vardi
Computer-Aided Personalized Education. CoRR (2020)
Nagarajan Natarajan, Ajaykrishna Karthikeyan, Prateek Jain, Ivan Radicek, Sriram K. Rajamani, Sumit Gulwani, Johannes Gehrke
Programming by Rewards. CoRR (2020)
Ashish Tiwari, Arjun Radhakrishna, Sumit Gulwani, Daniel Perelman
Information-theoretic User Interaction: Significant Inputs for Program Synthesis. CoRR (2020)
Mohammad Raza, Sumit Gulwani
Web Data Extraction using Hybrid Program Synthesis: A Combination of Top-down and Bottom-up Inference. SIGMOD Conference (2020)
Anna Fariha, Ashish Tiwari, Arjun Radhakrishna, Sumit Gulwani, Alexandra Meliou
Data Invariants: On Trust in Data-Driven Systems. CoRR (2020)
Ian Drosos, Titus Barik, Philip J. Guo, Robert DeLine, Sumit Gulwani
Wrex: A Unified Programming-by-Example Interaction for Synthesizing Readable Code for Data Scientists. CHI (2020)
Anna Fariha, Ashish Tiwari, Arjun Radhakrishna, Sumit Gulwani
ExTuNe: Explaining Tuple Non-conformance. SIGMOD Conference (2020)
Xiang Gao, Shraddha Barke, Arjun Radhakrishna, Gustavo Soares, Sumit Gulwani, Alan Leung, Nachiappan Nagappan, Ashish Tiwari
Feedback-driven semi-supervised synthesis of program transformations. Proc. ACM Program. Lang. 4 (OOPSLA) (2020)
Mengshi Zhang, Daniel Perelman, Vu Le, Sumit Gulwani
An Integrated Approach of Deep Learning and Symbolic Analysis for Digital PDF Table Extraction. ICPR (2020)
Sumit Gulwani, Vu Le, Arjun Radhakrishna, Ivan Radicek, Mohammad Raza
Structure interpretation of text formats. Proc. ACM Program. Lang. 4 (OOPSLA) (2020)
Sumit Gulwani, Kunal Pathak, Arjun Radhakrishna, Ashish Tiwari, Abhishek Udupa
Quantitative Programming by Examples. CoRR (2019)
Anders Miltner, Sumit Gulwani, Vu Le, Alan Leung, Arjun Radhakrishna, Gustavo Soares, Ashish Tiwari, Abhishek Udupa
On the fly synthesis of edit suggestions. Proc. ACM Program. Lang. 3 (OOPSLA) (2019)
Nagarajan Natarajan, Danny Simmons, Naren Datha, Prateek Jain, Sumit Gulwani
Learning Natural Programs from a Few Examples in Real-Time. AISTATS (2019)
Saswat Padhi, Prateek Jain, Daniel Perelman, Oleksandr Polozov, Sumit Gulwani, Todd D. Millstein
FlashProfile: a framework for synthesizing data profiles. Proc. ACM Program. Lang. 2 (OOPSLA) (2018)
Sumit Gulwani, Ivan Radicek, Florian Zuleger
Automated clustering and program repair for introductory programming assignments. PLDI (2018)
Ashwin Kalyan, Abhishek Mohta, Oleksandr Polozov, Dhruv Batra, Prateek Jain, Sumit Gulwani
Neural-Guided Deductive Search for Real-Time Program Synthesis from Examples. ICLR (Poster) (2018)
Umair Z. Ahmed, Pawan Kumar, Amey Karkare, Purushottam Kar, Sumit Gulwani
Compilation error repair: for the student programs, from the student programs. ICSE (SEET) (2018)
Mohammad Raza, Sumit Gulwani
Disjunctive Program Synthesis: A Robust Approach to Programming by Example. AAAI (2018)
Ashwin J. Vijayakumar, Abhishek Mohta, Oleksandr Polozov, Dhruv Batra, Prateek Jain, Sumit Gulwani
Neural-Guided Deductive Search for Real-Time Program Synthesis from Examples. CoRR (2018)
Molly Q. Feldman, Ji Yong Cho, Monica Ong, Sumit Gulwani, Zoran Popovic, Erik Andersen
Automatic Diagnosis of Students' Misconceptions in K-8 Mathematics. CHI (2018)
Kevin Ellis, Sumit Gulwani
Learning to Learn Programs from Examples: Going Beyond Program Structure. IJCAI (2017)
Sumit Gulwani, Oleksandr Polozov, Rishabh Singh
Program Synthesis. Found. Trends Program. Lang. 4 (1-2) (2017)
Sumit Gulwani
Programming by examples: applications, algorithms, and ambiguity resolution. PPDP (2017)
Vu Le, Daniel Perelman, Oleksandr Polozov, Mohammad Raza, Abhishek Udupa, Sumit Gulwani
Interactive Program Synthesis. CoRR (2017)
Chris Alvin, Sumit Gulwani, Rupak Majumdar, Supratik Mukhopadhyay
Synthesis of Problems for Shaded Area Geometry Reasoning. AIED (2017)
Mohammad Raza, Sumit Gulwani
Automated Data Extraction Using Predictive Program Synthesis. AAAI (2017)
Reudismam Rolim, Gustavo Soares, Loris D'Antoni, Oleksandr Polozov, Sumit Gulwani, Rohit Gheyi, Ryo Suzuki, Björn Hartmann
Learning syntactic program transformations from examples. ICSE (2017)
Chris Alvin, Sumit Gulwani, Rupak Majumdar, Supratik Mukhopadhyay
Synthesis of Solutions for Shaded Area Geometry Problems. FLAIRS Conference (2017)
Saswat Padhi, Prateek Jain, Daniel Perelman, Oleksandr Polozov, Sumit Gulwani, Todd D. Millstein
FlashProfile: Interactive Synthesis of Syntactic Profiles. CoRR (2017)
Sumit Gulwani, Prateek Jain
Programming by Examples: PL Meets ML. APLAS (2017)
Peter Bailis, Peter Alvaro, Sumit Gulwani
Research for practice: tracing and debugging distributed systems; programming by examples. Commun. ACM 60 (7) (2017)
Peter Alvaro, Sumit Gulwani, Peter Bailis
Research for Practice: Tracing and Debugging Distributed Systems; Programming by Examples. ACM Queue 15 (1) (2017)
Shalini Kaleeswaran, Anirudh Santhiar, Aditya Kanade, Sumit Gulwani
Semi-supervised verified feedback generation. SIGSOFT FSE (2016)
Shaon Barman, Sarah E. Chasins, Rastislav Bodík, Sumit Gulwani
Ringer: web automation by demonstration. OOPSLA (2016)
Sumit Gulwani
Technical Perspective: Program synthesis using stochastic techniques. Commun. ACM 59 (2) (2016)
Rishabh Singh, Sumit Gulwani
Transforming spreadsheet data types using examples. POPL (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Sumit Gulwani