Papers with continuous thought representations
Towards Inference-time Scaling for Continuous Space Reasoning (2026.findings-acl)
Copied to clipboard
| Challenge: | Recent advances in reasoning large language models have expanded along training and inferencetime dimensions. |
| Approach: | They propose to use COCONUT (CITATION) continuous space reasoning LM as the backbone to generate diverse reasoning paths through dropout-based sampling. |
| Outcome: | The proposed method could enable performance gains similar to those observed in the discrete space, but only marginally improves in the continuous space. |