Showing cs.CLShow all
3 papers · 1 filter
cs.CL2026
Though Language Models Err While They Strive: Conformal Prediction for Self-Correcting Scientific Generation
Mingqiao Mo, Yunlong Tan, Hao Zhang
Large language models frequently violate fundamental scientific principles when generating technical content, undermining their reliability in scientific applications. We introduce…
cs.CL2026
BlockPilot: Instance-Adaptive Policy Learning for Diffusion-based Speculative Decoding
Hao Zhang, Yiming Hu, Yong Wang +3
Speculative decoding accelerates inference by using a lightweight draft model to generate candidate tokens in parallel, and are then verified by the target model, enabling lossless…
cs.CL2026
ShieldedCode: Learning Robust Representations for Virtual Machine Protected Code
Mingqiao Mo, Yunlong Tan, Hao Zhang +2
Large language models (LLMs) have achieved remarkable progress in code generation, yet their potential for software protection remains largely untapped. Reverse engineering continu…