20 citations · 59 across the 35 of their papers we have counts for
5 papers · 1 filter
PG-3DGS: Optimizing 3D Gaussian Splatting to Satisfy Physics Objectives
Zachary Lee, Maxwell Jacobson, Yexiang Xue
Recent advances in Gaussian Splatting have enabled fast, high-fidelity 3D scene generation, yet these methods remain purely visual and lack an understanding of how shapes behave in…
Enforcing Constraints in Generative Sampling via Adaptive Correction Scheduling
Noah Trupin, Yexiang Xue
Hard constraints in generative sampling are typically enforced by projection, applied either once at the end of sampling or after every update. This binary framing overlooks a fund…
Zero-shot Imitation Learning by Latent Topology Mapping
Maxwell J. Jacobson, Yexiang Xue
Imitation learning is effective for training agents when expert demonstrations are available, but collecting demonstrations for every complex task in an environment is costly. We s…
Reducing Hallucinations in LLM-based Scientific Literature Analysis Using Peer Context Outlier Detection
Daniel Xie, Maxwell J. Jacobson, Adil Wazeer +3
Reducing hallucinations in Large Language Models (LLMs) is essential for accurate data extraction from large text corpora. Current methods, like prompt engineering and chain-of-tho…
A Multi-Agent Human-LLM Collaborative Framework for Closed-Loop Scientific Literature Summarization
Maxwell J. Jacobson, Daniel Xie, Jackson Shen +6
Scientific discovery is slowed by fragmented literature that requires excessive human effort to gather, analyze, and understand. AI tools, including autonomous summarization and qu…