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Lutfi Eren Erdogan

2 accepted papers

2025

Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks

ICML 2025poster

Large language models (LLMs) have shown remarkable advancements in enabling language agents to tackle simple tasks. However, applying them for complex, multi-step, long-horizon tasks remains a challenge. Recent work have found success by separating high-level planning from low-level execution, which…

Cited by 0SourcePDFScholar
2024

TinyAgent: Function Calling at the Edge

EMNLP 2024system demonstrations

Recent large language models (LLMs) have enabled the development of advanced agentic systems that can integrate various tools and APIs to fulfill user queries through function calling. However, the deployment of these LLMs on the edge has not been explored since they typically require cloud-based in…