3 papers
cs.CV2026
SHIFT-LLM: Distribution Shift Correction in Depth-Pruned LLMs
Ali Bahri, Hang Li, Hongliang Li +1
Depth pruning removes entire Transformer blocks to reduce the inference cost of large language models, but disrupts the hidden-state distributions expected by downstream layers, le…
cs.AI2026
ScienceFlow: A long-horizon agent for ML research, scientific discovery and beyond
Mingming Zhao, Jiqian Dong, Kangping Xu +16
Enabling LLM agents to sustain productive, stable, and goal-aligned research over extended horizons is a central challenge for autonomous machine learning and scientific discovery,…
cs.CV2026
Vision Meets WiFi: Physics-Grounded Estimation of Volumetric Mechanical Properties
Ali Bahri, Hongliang Li, Soufiane Lamghari +2
Estimating volumetric mechanical properties, including Young's modulus, Poisson's ratio, and density at each voxel, is intrinsically ambiguous from vision alone, as visually simila…