activity
20122026
most citedSynchromesh: Reliable code generation from pre-trained language models

66 citations · 154 across the 46 of their papers we have counts for

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6 papers · 1 filter

cs.HC2026

Plans Work in Mysterious Ways: Evaluating a Plan Mode for Spreadsheet Agents

Aayush Kumar, Avik Dutta, Sumit Gulwani +3

Plan Modes have become standard features in agentic programming tools, allowing users to gain transparency and control by working with the agent to develop a plan before task execu…

cs.HC2026

Auditing and Controlling AI Agent Actions in Spreadsheets

Sadra Sabouri, Zeinabsadat Saghi, Run Huang +4

Advances in AI agent capabilities have outpaced users' ability to meaningfully oversee their execution. AI agents can perform sophisticated, multi-step knowledge work autonomously…

cs.HC20251 cited

Exploration vs. Fixation: Scaffolding Divergent and Convergent Thinking for Human-AI Co-Creation with Generative Models

Chao Wen, Tung Phung, Pronita Mehrotra +4

Generative AI has democratized content creation, but popular chatbot-based interfaces often prioritize execution, generating fully rendered artifacts right away. This issue can lea…

cs.HC2025

The Invisible Mentor: Inferring User Actions from Screen Recordings to Recommend Better Workflows

Litao Yan, Andrew Head, Ken Milne +4

Many users struggle to notice when a more efficient workflow exists in feature-rich tools like Excel. Existing AI assistants offer help only after users describe their goals or pro…

cs.HC20241 cited

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

Bhavya Chopra, Yasharth Bajpai, Param Biyani +4

The widespread availability of Large Language Models (LLMs) within Integrated Development Environments (IDEs) has led to their speedy adoption. Conversational interactions with LLM…

cs.HC20232 cited

Conversational Challenges in AI-Powered Data Science: Obstacles, Needs, and Design Opportunities

Bhavya Chopra, Ananya Singha, Anna Fariha +4

Large Language Models (LLMs) are being increasingly employed in data science for tasks like data preprocessing and analytics. However, data scientists encounter substantial obstacl…