Papers by Anand Chaanan Singh
Slim-SC: Thought Pruning for Efficient Scaling with Self-Consistency (2025.emnlp-main)
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| Challenge: | Recent studies show that Test-Time Scaling (TTS) can improve reasoning performance without retraining the model. |
| Approach: | They propose a step-wise pruning strategy that identifies and removes redundant chains using inter-chain similarity at the thought level. |
| Outcome: | The proposed method reduces inference latency and KVC usage by up to 45% and 26% with R1-Distill while maintaining or improving accuracy. |