SYNLAT: Syntax-Aligned Text-Latent Compression for Chain-of-Thought Reasoning
cs.CL, cs.AI
Submitted: 2026-10-02
Updated: 2026-10-02
Sources
- R1-Compress: Long Chain-of-Thought Compression via Chunk Compression and Search
- SPOT: Span-level Pause-of-Thought for Efficient and Interpretable Latent Reasoning in Large Language Models
- Why Struggle with Continuous Latents? Interpretable Discrete Latent Reasoning via Rendered Compression
- Selective Latent Thinking: Adaptive Compression of LLM Reasoning Chains
- A*-Thought-V2: Efficient Latent Reasoning via Geometric Dynamics of LLM
- Qwen3 Technical Report
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