Nikolai Rozanov

Learning From Free-Text Human Feedback -- Collect New Datasets Or Extend Existing Ones?

2023 · arXiv (Cornell University)

Learning from free-text human feedback is essential for dialog systems, but annotated data is scarce and usually covers only a small fraction of error types known in conversational AI. Instead of collecting and annotating new …

StateAct: Enhancing LLM Base Agents via Self-prompting and State-tracking

2024 · arXiv (Cornell University)

Large language models (LLMs) are increasingly used as autonomous agents, tackling tasks from robotics to web navigation. Their performance depends on the underlying base agent. Existing methods, however, struggle with long-context reasoning and goal adherence. …