2 papers
cs.AI2026
OBC-Prune: Outcome-Based Calibration for Large Reasoning Model Pruning
Ha Lan Nguyen, Huy Hoang Tran, Trac-Duy Tran +1
Large reasoning models (LRMs) generate long chain-of-thought traces before answering, creating significant inference overhead. Pruning can reduce this cost, but its effectiveness d…
cs.LG2026
A Two-Phase Adaptive Balanced Penalty Method for Controllable Pareto Front Learning under Split Feasibility Conditions
Nguyen Viet Hoang, Dung D. Le, Tran Ngoc Thang
We address the open problem of training hypernetworks for Controllable Pareto Front Learning (CPFL) under split feasibility conditions with rigorous theoretical guarantees. We refo…