
Hershraj Niranjani
Electrical Engineering and Computer Science, UC Berkeley·3 publications
About
Hi! I'm Hershraj. I'm broadly interested in how we can get large models to reason effectively in structured domains. At BAIR, I worked on LLM-guided program synthesis -- figuring out how to get language models to search well over massive spaces of possible programs. I've also published work on multi-agent coordination, looking at how LLM systems can autonomously discover their own behavioral norms rather than relying on hand-designed ones. I've also spent time exploring physics-informed neural networks, timeseries forecasting, and interpretability. I tend to gravitate toward problems where the structure of the domain matters as much as the model itself.
Selected Work
Evolving Interpretable Constitutions for Multi-Agent Coordination
arXiv2026
Internal vs. External: Comparing Deliberation and Evolution for Multi-Agent Constitutional Design
arXiv2026
Constitutional Arms Races in the Public Goods Game: Co-Evolving LLM Constitutions Under Cooperation-Defection Pressure
arXiv2026