Does the Linguistic Register of Thinking Matter? Wenyan as a Compact Reasoning Register for Chinese LLMs
cs.CL, cs.AI
Submitted: 2026-10-14
Updated: 2026-10-14
Comments: 19 pages
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- Training Verifiers to Solve Math Word Problems
- DeepSeek-V3 Technical Report
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- Training Large Language Models to Reason in a Continuous Latent Space
- Qwen2.5 Technical Report
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- Language Models are Multilingual Chain-of-Thought Reasoners
- Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
- Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
- Chain of Draft: Thinking Faster by Writing Less
- Qwen3 Technical Report
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