Abstract: This paper presents a novel semantic communication model for multi-turn interactive speech dialogue tasks, enabling multiple users to engage in dialogue with a language model deployed at a ...

Run with an API model (LiteLLM), e.g. GPT‑5 mini with medium reasoning effort: medqa-deep \ model.id=gpt-5-mini-2025-08-07 \ model.extra_kwargs.reasoning_effort=medium \ run.n_rows=5 ...

1 Department of Medical and Health Technologies, The Entrepreneurial School® (MCI), Innsbruck, Austria 2 School of Mechanical Engineering, Chung-Ang University, Seoul, Republic of Korea Falls are a ...

What if the key to unlocking the full potential of AI agents wasn’t just in how we program them, but in how we teach them to think within their limits? As artificial intelligence systems become more ...

Abstract: Multi-turn response selection is an important task in artificial intelligence. Early methods match each utterance with a response to obtain the matching information between utterance and ...

Currently, the Magentic orchestration in the Agent Framework (MagenticBuilder / workflow.run*) only accepts a single string task input and internally manages its own MagenticContext. There is no ...

With deep integrations into platforms like Salesforce, Jira, and Slack, the system lets agents research, create reports, and execute tasks autonomously. The modern enterprise has more data than it can ...