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Published Date

Publication

Automating Human Tutor-Style Programming Feedback: Leveraging GPT-4 Tutor Model for Hint Generation and GPT-3.5 Student Model for Hint Validation

Tung Phung, Victor-Alexandru Pădurean, Anjali Singh, Christopher Brooks, José Cambronero, Sumit Gulwani, Adish Singla, Gustavo Soares

International Learning Analytics and Knowledge Conference | March 2024

Tool

Node Engine

Node Engine is a Python service that executes a computational flow. It is designed for rapid prototyping of services and applications, e.g. used as a chatbot service in a larger system. Each call to the service…

GitHub

Podcast

What’s Your Story: Nicole Forsgren

February 15, 2024

Partner Research Manager and developer experience expert Nicole Forsgren talks about the future of software engineering with AI, why she loves tech, and her reliance on a spreadsheet and her gut when making career-changing decisions.

Circle photo of Nicole Forsgren with a microphone in the corner on a blue and green gradient background

Tool

Neural Invariant Ranker

Official code release of our EMNLP 2023 work NeuralInvariantRanker (opens in new tab). We have designed a ranker that can distinguish between correct inductive invariants and incorrect attempts based on the problem definition. The ranker…

GitHub Publication

Publication

Exploring Interaction Patterns for Debugging: Enhancing Conversational Capabilities of AI-assistants

Bhavya Chopra, Yasharth Bajpai, Param Biyani, Gustavo Soares, Arjun Radhakrishna, Chris Parnin, Sumit Gulwani

NAACL: Proceedings of the Third Workshop on Bridging Human-Computer Interaction and Natural Language Processing | February 2024

Publication

The GA4GH Task Execution Application Programming Interface: Enabling Easy Multicloud Task Execution

Alexander Kanitz, Matthew H. McLoughlin, Liam Beckman, Venkat S. Malladi, Kyle Ellrott

Computing in Science & Engineering | February 2024, Vol 26: pp. 30-39

Github

Publication

NoFunEval: Funny How Code LMs Falter on Requirements Beyond Functional Correctness

Manav Singhal, Tushar Aggarwal, Abhijeet Awasthi, Nagarajan Natarajan, Aditya Kanade

February 2024

Preprint

Github

Tool

CodePlan

CodePlan is a research project that formalizes repository-level coding tasks as planning problems and uses static analysis and large language models (LLMs) to solve them. This replication package is for the paper titled “CodePlan: Repository-level…

GitHub

Publication

Xpert: Empowering Incident Management with Query Recommendations via Large Language Models

Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

ICSE’24 | February 2024

Project Project

Publication

UniLog: Automatic Logging via LLM and In-Context Learning

Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

ICSE 2024 | February 2024

Project Project

Programming languages and software engineering

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