Papers
Deep, long-form breakdowns of recent research in AI, machine learning, security & programming languages.
When LLM Decompilers Recompile More and Preserve Less
by Chang Liu, Edward Raff, Kristopher Micinski
Design Docs Are All You Need: An AI-native Machine-Learning Performance Tool
by Samuel Kushnir, Kimia Noorbakhsh, Kavya Sreedhar, Liqun Cheng, Ming Liu, Parthasarathy Ranganathan, Mohammad Alizadeh, Fred Kjolstad, Suvinay Subramanian
Distill Globally, Adapt Locally: Reasoning Distillation and Product-Type Test-Time Training for Scalable Trade-Up Recommendation
by Siliang Liu, Mohammad Ghasemi, Sapan Patel, Amin Banitalebi-Dehkordi
Development of a Humanoid Robot Prototype for Multimodal Human-Robot Interaction
by Thang Tran Viet, Thanh Nguyen Canh, Huy Uong Gia, Phuc Dinh Van, Son Tran Duc, Ngoc Minh Do, Xiem HoangVan
MEOX: Compact Multimodal Mixture-of-Experts for Earth Observation
by Mohanad Albughdadi
Who Should Grade My Work? Student Perspectives on Transparent AI-Assisted Writing Assessment in Higher Education
by Rayed AlGhamdi