Flowco: Rethinking Data Analysis in the Age of LLMs
Fuente:
arXiv
Saved in:
| Main Authors: | Freund, Stephen N., Simon, Brooke, Berger, Emery D., Jun, Eunice |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FlowBook: Enforcing Reproducibility in Computational Notebooks
by: Freund, Stephen N., et al.
Published: (2026)
by: Freund, Stephen N., et al.
Published: (2026)
Prompt Decorators: A Declarative and Composable Syntax for Reasoning, Formatting, and Control in LLMs
by: Heris, Mostapha Kalami
Published: (2025)
by: Heris, Mostapha Kalami
Published: (2025)
Meta-Evaluating Local LLMs: Rethinking Performance Metrics for Serious Games
by: Isaza-Giraldo, Andrés, et al.
Published: (2025)
by: Isaza-Giraldo, Andrés, et al.
Published: (2025)
Prompt Orchestration Markup Language
by: Zhang, Yuge, et al.
Published: (2025)
by: Zhang, Yuge, et al.
Published: (2025)
Direct Advantage Regression: Aligning LLMs with Online AI Reward
by: He, Li, et al.
Published: (2025)
by: He, Li, et al.
Published: (2025)
HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding
by: González, Emmanuel Anaya, et al.
Published: (2025)
by: González, Emmanuel Anaya, et al.
Published: (2025)
Explorable Theorems: Making Written Theorems Explorable by Grounding Them in Formal Representations
by: Kambhamettu, Hita, et al.
Published: (2026)
by: Kambhamettu, Hita, et al.
Published: (2026)
Aptly: Making Mobile Apps from Natural Language
by: Patton, Evan W., et al.
Published: (2024)
by: Patton, Evan W., et al.
Published: (2024)
From State Changes to Creative Decisions: Documenting and Interpreting Traces Across Creative Domains
by: Peng, Xiaohan, et al.
Published: (2026)
by: Peng, Xiaohan, et al.
Published: (2026)
ChatScratch: An AI-Augmented System Toward Autonomous Visual Programming Learning for Children Aged 6-12
by: Chen, Liuqing, et al.
Published: (2024)
by: Chen, Liuqing, et al.
Published: (2024)
WatChat: Explaining perplexing programs by debugging mental models
by: Chandra, Kartik, et al.
Published: (2024)
by: Chandra, Kartik, et al.
Published: (2024)
ProgramAlly: Creating Custom Visual Access Programs via Multi-Modal End-User Programming
by: Herskovitz, Jaylin, et al.
Published: (2024)
by: Herskovitz, Jaylin, et al.
Published: (2024)
From Voices to Validity: Leveraging Large Language Models (LLMs) for Textual Analysis of Policy Stakeholder Interviews
by: Liu, Alex, et al.
Published: (2023)
by: Liu, Alex, et al.
Published: (2023)
Large Language Models for Automatic Milestone Detection in Group Discussions
by: Duan, Zhuoxu, et al.
Published: (2024)
by: Duan, Zhuoxu, et al.
Published: (2024)
An AI-Powered Research Assistant in the Lab: A Practical Guide for Text Analysis Through Iterative Collaboration with LLMs
by: Carmona-Díaz, Gino, et al.
Published: (2025)
by: Carmona-Díaz, Gino, et al.
Published: (2025)
Performance Gains of LLMs With Humans in a World of LLMs Versus Humans
by: McCullum, Lucas, et al.
Published: (2025)
by: McCullum, Lucas, et al.
Published: (2025)
Towards the Ultimate Programming Language: Trust and Benevolence in the Age of Artificial Intelligence
by: Sawicki, Bartosz, et al.
Published: (2024)
by: Sawicki, Bartosz, et al.
Published: (2024)
User-Assistant Bias in LLMs
by: Pan, Xu, et al.
Published: (2025)
by: Pan, Xu, et al.
Published: (2025)
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts
by: Tirumala, Shreyas, et al.
Published: (2025)
by: Tirumala, Shreyas, et al.
Published: (2025)
HICode: Hierarchical Inductive Coding with LLMs
by: Zhong, Mian, et al.
Published: (2025)
by: Zhong, Mian, et al.
Published: (2025)
Offscript: Automated Auditing of Instruction Adherence in LLMs
by: Clark, Nicholas, et al.
Published: (2025)
by: Clark, Nicholas, et al.
Published: (2025)
Can LLMs Generate Visualizations with Dataless Prompts?
by: Coelho, Darius, et al.
Published: (2024)
by: Coelho, Darius, et al.
Published: (2024)
Evaluating LLMs as Human Surrogates in Controlled Experiments
by: Hoq, Adnan, et al.
Published: (2026)
by: Hoq, Adnan, et al.
Published: (2026)
Aligning LLMs with Individual Preferences via Interaction
by: Wu, Shujin, et al.
Published: (2024)
by: Wu, Shujin, et al.
Published: (2024)
Empowering Children to Create AI-Enabled Augmented Reality Experiences
by: Zhang, Lei, et al.
Published: (2025)
by: Zhang, Lei, et al.
Published: (2025)
Are Today's LLMs Ready to Explain Well-Being Concepts?
by: Jiang, Bohan, et al.
Published: (2025)
by: Jiang, Bohan, et al.
Published: (2025)
Clinical knowledge in LLMs does not translate to human interactions
by: Bean, Andrew M., et al.
Published: (2025)
by: Bean, Andrew M., et al.
Published: (2025)
AutoLife: Automatic Life Journaling with Smartphones and LLMs
by: Xu, Huatao, et al.
Published: (2024)
by: Xu, Huatao, et al.
Published: (2024)
HARGPT: Are LLMs Zero-Shot Human Activity Recognizers?
by: Ji, Sijie, et al.
Published: (2024)
by: Ji, Sijie, et al.
Published: (2024)
CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions
by: Kim, Tae Soo, et al.
Published: (2025)
by: Kim, Tae Soo, et al.
Published: (2025)
Olapa-MCoT: Enhancing the Chinese Mathematical Reasoning Capability of LLMs
by: Zhu, Shaojie, et al.
Published: (2023)
by: Zhu, Shaojie, et al.
Published: (2023)
AI Conversational Interviewing: Transforming Surveys with LLMs as Adaptive Interviewers
by: Wuttke, Alexander, et al.
Published: (2024)
by: Wuttke, Alexander, et al.
Published: (2024)
CBEval: A framework for evaluating and interpreting cognitive biases in LLMs
by: Shaikh, Ammar, et al.
Published: (2024)
by: Shaikh, Ammar, et al.
Published: (2024)
Copiloting Diagnosis of Autism in Real Clinical Scenarios via LLMs
by: Jiang, Yi, et al.
Published: (2024)
by: Jiang, Yi, et al.
Published: (2024)
Mind the Value-Action Gap: Do LLMs Act in Alignment with Their Values?
by: Shen, Hua, et al.
Published: (2025)
by: Shen, Hua, et al.
Published: (2025)
RAG-based EEG-to-Text Translation Using Deep Learning and LLMs
by: Collautti, Enrico, et al.
Published: (2026)
by: Collautti, Enrico, et al.
Published: (2026)
Unpacking Human Preference for LLMs: Demographically Aware Evaluation with the HUMAINE Framework
by: Petrova, Nora, et al.
Published: (2026)
by: Petrova, Nora, et al.
Published: (2026)
CHBench: A Cognitive Hierarchy Benchmark for Evaluating Strategic Reasoning Capability of LLMs
by: Liu, Hongtao, et al.
Published: (2025)
by: Liu, Hongtao, et al.
Published: (2025)
Logic-Scaffolding: Personalized Aspect-Instructed Recommendation Explanation Generation using LLMs
by: Rahdari, Behnam, et al.
Published: (2023)
by: Rahdari, Behnam, et al.
Published: (2023)
Strategic Chain-of-Thought: Guiding Accurate Reasoning in LLMs through Strategy Elicitation
by: Wang, Yu, et al.
Published: (2024)
by: Wang, Yu, et al.
Published: (2024)
Similar Items
-
FlowBook: Enforcing Reproducibility in Computational Notebooks
by: Freund, Stephen N., et al.
Published: (2026) -
Prompt Decorators: A Declarative and Composable Syntax for Reasoning, Formatting, and Control in LLMs
by: Heris, Mostapha Kalami
Published: (2025) -
Meta-Evaluating Local LLMs: Rethinking Performance Metrics for Serious Games
by: Isaza-Giraldo, Andrés, et al.
Published: (2025) -
Prompt Orchestration Markup Language
by: Zhang, Yuge, et al.
Published: (2025) -
Direct Advantage Regression: Aligning LLMs with Online AI Reward
by: He, Li, et al.
Published: (2025)