10 citations · 11 across the 7 of their papers we have counts for
3 papers · 1 filter
Universal Transformers for Circuit Computations: Perfect Length Generalization in Tiny Transformers
Takuya Ito, Ruchir Puri, Murray Campbell +1
Learning generalizable algorithmic computations remains a challenge for neural networks, as reflected in persistent failures on compositional and length generalization benchmarks.…
Agent Factories for High Level Synthesis: How Far Can General-Purpose Coding Agents Go in Hardware Optimization?
Abhishek Bhandwaldar, Mihir Choudhury, Ruchir Puri +1
We present an empirical study of how far general-purpose coding agents -- without hardware-specific training -- can optimize hardware designs from high-level algorithmic specificat…
Think Locally, Explain Globally: Graph-Guided LLM Investigations via Local Reasoning and Belief Propagation
Saurabh Jha, Rohan Arora, Bhavya +7
LLM agents excel when environments are mostly static and the needed information fits in a model's context window, but they often fail in open-ended investigations where explanation…