3 papers
cs.RO2025
Coherence-Driven Multimodal Safety Dialogue with Active Learning for Embodied Agents
Sabit Hassan, Hye-Young Chung, Xiang Zhi Tan +1
When assisting people in daily tasks, robots need to accurately interpret visual cues and respond effectively in diverse safety-critical situations, such as sharp objects on the fl…
cs.CL2024
An Active Learning Framework for Inclusive Generation by Large Language Models
Sabit Hassan, Anthony Sicilia, Malihe Alikhani
Ensuring that Large Language Models (LLMs) generate text representative of diverse sub-populations is essential, particularly when key concepts related to under-represented groups…
cs.CL2024
Active Learning for Robust and Representative LLM Generation in Safety-Critical Scenarios
Sabit Hassan, Anthony Sicilia, Malihe Alikhani
Ensuring robust safety measures across a wide range of scenarios is crucial for user-facing systems. While Large Language Models (LLMs) can generate valuable data for safety measur…