papers
Publications (5)
cs.CV2026
MusaCoder: Native GPU Kernel Generation with Full-Stack Training on Moore Threads GPU
Kun Cheng, Songshuo Lu, Sicong Liao +7
cs.CL2024
A Full-duplex Speech Dialogue Scheme Based On Large Language Models
Peng Wang, Songshuo Lu, Yaohua Tang +3
cs.CV2025
URPO: A Unified Reward & Policy Optimization Framework for Large Language Models
Songshuo Lu, Hua Wang, Zhi Chen +1
cs.CV2024
TurboRAG: Accelerating Retrieval-Augmented Generation with Precomputed KV Caches for Chunked Text
Songshuo Lu, Hua Wang, Yutian Rong +2
cs.LG2026
Beyond the Best Teacher: Expanding and Compressing the Reasoning Solution Manifold
Songshuo Lu, Zhi Chen, Yaohua Tang
The paper proposes an expand‑then‑compress framework that builds a diverse set of RL‑trained teacher models and then distills them into a single student model, improving reasoning,…
#reinforcement learning#teacher‑student distillation#multi‑teacher aggregation#reasoning models