2 citations · 2 across the 5 of their papers we have counts for
5 papers
AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration
Jiaqi Liu, Shi Qiu, Mairui Li +33
Automating scientific discovery requires more than generating papers from ideas. Real research is iterative: hypotheses are challenged from multiple perspectives, experiments fail…
Supporting Calibrated Reliance in Human-AI Collaboration: Different Strategies for Different Tasks
Ruth Cohen, Lu Feng, Ayala Bloch +1
As AI systems increasingly support human decision making, a central challenge is determining what information helps people recognize when to rely on AI predictions and when to ques…
Agent0-VL: Exploring Self-Evolving Agent for Tool-Integrated Vision-Language Reasoning
Jiaqi Liu, Kaiwen Xiong, Peng Xia +6
Vision-language agents have achieved remarkable progress in a variety of multimodal reasoning tasks; however, their learning remains constrained by the limitations of human-annotat…
Explaining Decentralized Multi-Agent Reinforcement Learning Policies
Kayla Boggess, Sarit Kraus, Lu Feng
Multi-Agent Reinforcement Learning (MARL) has gained significant interest in recent years, enabling sequential decision-making across multiple agents in various domains. However, m…
ADESSE: Advice Explanations in Complex Repeated Decision-Making Environments
Sören Schleibaum, Lu Feng, Sarit Kraus +1
In the evolving landscape of human-centered AI, fostering a synergistic relationship between humans and AI agents in decision-making processes stands as a paramount challenge. This…