Naren Ramakrishnan

Students not only embraced LLMs for academic tasks but also increased their engagement with traditional support systems, highlighting a nuanced relationship between technology and learning.

LLM-ACES outperforms traditional methods by leveraging a closed-loop feedback mechanism that iteratively refines both hypotheses and data acquisition, achieving unprecedented accuracy in ODE recovery.

IUU+DB transforms fragmented evidence of illegal fishing and labor abuses into actionable insights, revealing critical hotspots and trends that could reshape fisheries management.

Multi-agent RAG gets a 38% performance boost by letting agents dynamically rewire themselves and evolve their own prompts based on experience.

Even with widespread dishonesty in self-reported health data, strategic game-theoretic approaches can still enable effective epidemic control.