1.7k citations
- Ames Research CenterUS324 papers
- Center for Astrophysics Harvard & SmithsonianUS175 papers
- Centre National de la Recherche ScientifiqueFR172 papers
- California Institute of TechnologyUS156 papers
- University of California, BerkeleyUS153 papers
- Massachusetts Institute of TechnologyUS132 papers
- Goddard Space Flight CenterUS130 papers
- Space Telescope Science InstituteUS127 papers
- Princeton UniversityUS121 papers
- Jet Propulsion LaboratoryUS107 papers
- Instituto de Astrofísica de CanariasES94 papers
- American Institute of Aeronautics and AstronauticsUS88 papers
Showing cs.CLShow all
2 papers · 1 filter
cs.CL2026
Do Agents Need to Plan Step-by-Step? Rethinking Planning Horizon in Data-Centric Tool Calling
Naoki Otani, Nikita Bhutani, Hannah Kim +2
Explicit planning is a critical capability for LLM-based agents solving complex data-centric tasks, which require precise tool calling over external data sources. Existing strategi…
cs.CL2025
Learning from Supervision with Semantic and Episodic Memory: A Reflective Approach to Agent Adaptation
Jackson Hassell, Dan Zhang, Hannah Kim +2
We investigate how agents built on pretrained large language models (LLMs) can learn target classification functions from labeled examples without parameter updates. While conventi…