#human-in-the-loop
19 papers · 1 filter
Argonaut: Interactive Visual Exploration for Distributed Optimization
Srijoni Majumdar, Chuhao Qin, Evangelos Pournaras
Argonaut is a lightweight, containerized dashboard that lets users interactively visualize and explore the entire search process of distributed multi‑agent discrete‑choice optimiza…
Cost-Sensitive Conformal Prediction and Human-in-the-Loop Abstention for Imbalanced High-Stakes Decision Support: A Multi-Domain Benchmark
Manpreet Singh, Akshatha Srikantha, Shyamal Lakhanpal
The paper evaluates how conformal prediction methods can be made cost‑sensitive and reliable for rare, high‑cost classes in imbalanced, high‑stakes decision tasks, and shows that M…
Self-Evolving Human-Centered Framework for Explainable Depression Symptom Annotation
Hoang-Loc Cao, Van Pham, Truong Thanh Hung Nguyen +4
The paper proposes a self‑evolving, expert‑in‑the‑loop framework that uses large language models to generate and refine depression symptom annotations aligned with DSM‑5‑TR criteri…
Plover: Steering GUI Agents through Plan-Centric Interaction
Madhumitha Venkatesan, Shicheng Wen, Jiajing Guo +3
Plover is a vision‑based GUI automation system that externalizes task plans, letting users inspect, edit, and correct plans to make GUI agents more transparent, controllable, and a…
AI Prototyper: A Figma Plugin for Decomposition-Based GUI Prototyping with LLMs
Tawatchai Salangsingha, Ashkan Sami, Sami Ashkan +2
AI Prototyper is a Figma plugin that uses a large language model to turn natural‑language descriptions of screens into editable GUI components by breaking the request into features…
Harnessing LLMs for Reliable Academic Supervision: A Comparative Study
Akash Raj
The paper studies how to make large language models reliable for academic supervision by adding deterministic scaffolding (retrieval, schema validation, human‑in‑the‑loop gates, au…