53 citations · 59 across the 6 of their papers we have counts for
3 papers · 1 filter
Randomly Sampled Language Reasoning Problems Elucidate Limitations of In-Context Learning
Kavi Gupta, Kate Sanders, Armando Solar-Lezama
While LLMs have revolutionized the field of machine learning due to their high performance on a strikingly wide range of problems, they are also known to hallucinate false answers…
SPARLING: Learning Latent Representations with Extremely Sparse Activations
Kavi Gupta, Osbert Bastani, Armando Solar-Lezama
Real-world processes often contain intermediate state that can be modeled as an extremely sparse activation tensor. In this work, we analyze the identifiability of such sparse and…
JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints
Karl D. D. Willis, Pradeep Kumar Jayaraman, Hang Chu +8
Physical products are often complex assemblies combining a multitude of 3D parts modeled in computer-aided design (CAD) software. CAD designers build up these assemblies by alignin…