Investigating how IR techniques can enhance agent capabilities, focusing on retrieval-augmented generation and knowledge grounding.
Designing and optimizing agentic frameworks powered by large language models for improved reasoning and task execution.
Benchmarking and enhancing the performance of IR-LLM integrated systems in real-world agent applications.
Enhancing human cognitive capabilities through intelligent agent collaboration, focusing on complex problem-solving and creative thinking.
Developing frameworks for human-agent collaboration in critical scenarios where decisions have significant consequences.
Creating seamless, intuitive interfaces that enable natural and effective communication between humans and agents.
Investigating how the integration of agents into human society reshapes social structures, norms, and relationships.
Analyzing the economic, cultural, and ethical implications of widespread agent adoption in everyday life.
Developing governance, policy, and regulatory approaches for responsible agent deployment at societal scale.
We're always looking for passionate researchers and partners who share our vision of creating a better human-agent society.
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