2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.AI2026
Hidden Reliability Risks in Large Language Models: Systematic Identification of Precision-Induced Output Disagreements
Yifei Wang, Tianlin Li, Xiaohan Zhang +4
Large language models (LLMs) are increasingly deployed under diverse numerical precision configurations, including standard floating-point formats (e.g., bfloat16 and float16) and…
cs.LG2025★ 1 cited
QiMeng-CodeV-R1: Reasoning-Enhanced Verilog Generation
Yaoyu Zhu, Di Huang, Hanqi Lyu +16
Large language models (LLMs) trained via reinforcement learning with verifiable reward (RLVR) have achieved breakthroughs on tasks with explicit, automatable verification, such as…
cs.CL2024★ 2 cited
Safety Alignment of Large Language Models via Contrasting Safe and Harmful Distributions
Xiaoyun Zhang, Zhengyue Zhao, Wenxuan Shi +3
With the widespread application of Large Language Models (LLMs), it has become a significant concern to ensure their safety and prevent harmful responses. While current safe-alignm…