4 papers
Do Latent-CoT Models Think Step-by-Step? A Mechanistic Study on Sequential Reasoning Tasks
Jia Liang, Liangming Pan
Latent Chain-of-Thought (Latent-CoT) aims to enable step-by-step computation without emitting long rationales, yet its mechanisms remain unclear. We study CODI, a continuous-though…
SafeRBench: Dissecting the Reasoning Safety of Large Language Models
Xin Gao, Shaohan Yu, Zerui Chen +8
Large Reasoning Models (LRMs) have significantly improved problem-solving through explicit Chain-of-Thought (CoT) reasoning. However, this capability creates a Safety-Helpfulness P…
ToC: Tree-of-Claims Search with Multi-Agent Language Models
Shuyang Yu, Jianan Liang, Hui Hu
Optimizing patent claims is a critical yet challenging task, demanding careful balance between maximizing novelty and preserving legal scope. Manual claim drafting is labor-intensi…
ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models
Yuanfeng Xu, Zehui Dai, Jian Liang +4
Small Language Models (SLMs) are a cost-effective alternative to Large Language Models (LLMs), but often struggle with complex reasoning due to their limited capacity and a tendenc…