Papers by Dingtao Hu
Integral Transformer: Denoising Attention, Not Too Much Not Too Little (2025.emnlp-main)
Copied to clipboard
| Challenge: | Existing methods to reduce attention noise by integrating signals from logit distributions are prone to attention noise. |
| Approach: | They propose a self-attention mechanism that integrates signals from the logit distribution to denoise attention. |
| Outcome: | The proposed model outperforms vanilla, Cog, and Differential attention variants on knowledge and reasoning benchmarks. |