5 papers
LUQ: Layerwise Ultra-Low Bit Quantization for Multimodal Large Language Models
Shubhang Bhatnagar, Andy Xu, Kar-Han Tan +1
Large Language Models (LLMs) with multimodal capabilities have revolutionized vision-language tasks, but their deployment often requires huge memory and computational resources. Po…
PLaID++: A Preference Aligned Language Model for Targeted Inorganic Materials Design
Andy Xu, Rohan Desai, Larry Wang +2
Reinforcement Learning from Verifiable Rewards (RLVR) has emerged as a promising approach to improve correctness in LLMs, however, in many scientific problems, the objective is not…
LeMat-GenBench: A Unified Evaluation Framework for Crystal Generative Models
Siddharth Betala, Samuel P. Gleason, Ali Ramlaoui +12
Generative machine learning (ML) models hold great promise for accelerating materials discovery through the inverse design of inorganic crystals, enabling an unprecedented explorat…
SmartAvatar: Text- and Image-Guided Human Avatar Generation with VLM AI Agents
Alexander Huang-Menders, Xinhang Liu, Andy Xu +3
SmartAvatar is a vision-language-agent-driven framework for generating fully rigged, animation-ready 3D human avatars from a single photo or textual prompt. While diffusion-based m…
ad-trait: A Fast and Flexible Automatic Differentiation Library in Rust
Chen Liang, Qian Wang, Andy Xu +1
The Rust programming language is an attractive choice for robotics and related fields, offering highly efficient and memory-safe code. However, a key limitation preventing its broa…