Cover Image

Beyond One-shot: AI Agents for Learning in Field Experiments

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Luo, Junjie, Agarwal, Ritu, Gao, Gordon
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

PAME-AI: Patient Messaging Creation and Optimization using Agentic AI
by: Luo, Junjie, et al.
Published: (2025)

A Large Sensor Foundation Model Pretrained on Continuous Glucose Monitor Data for Diabetes Management
by: Luo, Junjie, et al.
Published: (2024)

Collaborating with AI Agents: Field Experiments on Teamwork, Productivity, and Performance
by: Ju, Harang, et al.
Published: (2025)

One-shot Transfer Learning for Population Mapping
by: Shao, Erzhuo, et al.
Published: (2021)

Evo-MedAgent: Beyond One-Shot Diagnosis with Agents That Remember, Reflect, and Improve
by: Shen, Weixiang, et al.
Published: (2026)

Beyond Syntax: Action Semantics Learning for App Agents
by: Tang, Bohan, et al.
Published: (2025)

One-shot Federated Learning Methods: A Practical Guide
by: Liu, Xiang, et al.
Published: (2025)

Parametric Feature Transfer: One-shot Federated Learning with Foundation Models
by: Beitollahi, Mahdi, et al.
Published: (2024)

Beyond Single-shot Writing: Deep Research Agents are Unreliable at Multi-turn Report Revision
by: Chen, Bingsen, et al.
Published: (2026)

Agents for Experiments, Experiments for Agents: A Design Grammar for AI-Enabled Experimental Science
by: Zhang, Yingjie, et al.
Published: (2026)

FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation
by: Liu, Xiang, et al.
Published: (2023)

Neural Force Field: Few-shot Learning of Generalized Physical Reasoning
by: Li, Shiqian, et al.
Published: (2025)

Causal Mean Field Multi-Agent Reinforcement Learning
by: Ma, Hao, et al.
Published: (2025)

One-shot emergency psychiatric triage across 15 frontier AI chatbots
by: Weilnhammer, Veith, et al.
Published: (2026)

A Field Guide to Deploying AI Agents in Clinical Practice
by: Gallifant, Jack, et al.
Published: (2025)

Deep learning-based shot-domain seismic deblending
by: Sun, Jing, et al.
Published: (2024)

Agent Lightning: Train ANY AI Agents with Reinforcement Learning
by: Luo, Xufang, et al.
Published: (2025)

One-shot In-context Part Segmentation
by: Dai, Zhenqi, et al.
Published: (2025)

GamED.AI: A Hierarchical Multi-Agent Framework for Automated Educational Game Generation
by: Agarwal, Shiven, et al.
Published: (2026)

Dynaword: From One-shot to Continuously Developed Datasets
by: Enevoldsen, Kenneth, et al.
Published: (2025)

Rethinking Explainability in the Era of Multimodal AI
by: Agarwal, Chirag
Published: (2025)

TopoDIM: One-shot Topology Generation of Diverse Interaction Modes for Multi-Agent Systems
by: Sun, Rui, et al.
Published: (2026)

Unified Preference Optimization: Language Model Alignment Beyond the Preference Frontier
by: Badrinath, Anirudhan, et al.
Published: (2024)

Neural Active Learning Beyond Bandits
by: Ban, Yikun, et al.
Published: (2024)

Provable Sparse Inversion and Token Relabel Enhanced One-shot Federated Learning with ViTs
by: Shen, Li, et al.
Published: (2026)

Multimodal Reinforcement Learning with Adaptive Verifier for AI Agents
by: Tan, Reuben, et al.
Published: (2025)

One-shot Adaptation of Humanoid Whole-body Motion with Walking Priors
by: Huang, Hao, et al.
Published: (2025)

Beyond Benchmarks: The Economics of AI Inference
by: Zhuang, Boqin, et al.
Published: (2025)

Mitigating Many-shot Jailbreak Attacks with One Single Demonstration
by: Chen, Kejia, et al.
Published: (2026)

One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill
by: Shin, Sangwoo, et al.
Published: (2024)

AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation
by: Gao, Shanghua, et al.
Published: (2026)

Curie: Toward Rigorous and Automated Scientific Experimentation with AI Agents
by: Kon, Patrick Tser Jern, et al.
Published: (2025)

Beyond Automation: Socratic AI, Epistemic Agency, and the Implications of the Emergence of Orchestrated Multi-Agent Learning Architectures
by: Degen, Peer-Benedikt, et al.
Published: (2025)

OneLatent: Single-Token Compression for Visual Latent Reasoning
by: Lv, Bo, et al.
Published: (2026)

A Comprehensive Review of AI Agents: Transforming Possibilities in Technology and Beyond
by: Qu, Xiaodong, et al.
Published: (2025)

Towards One-shot Federated Learning: Advances, Challenges, and Future Directions
by: Amato, Flora, et al.
Published: (2025)

Beyond One-Hot Labels: Semantic Mixing for Model Calibration
by: Luo, Haoyang, et al.
Published: (2025)

UOD: Universal One-shot Detection of Anatomical Landmarks
by: Zhu, Heqin, et al.
Published: (2023)

Beyond Words and Pixels: A Benchmark for Implicit World Knowledge Reasoning in Generative Models
by: Han, Tianyang, et al.
Published: (2025)

What Work is AI Actually Doing? Uncovering the Drivers of Generative AI Adoption
by: Agarwal, Peeyush, et al.
Published: (2025)