Update publications.md

_pages/publications.md

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  <p><b>Caoyun Fan</b>, Jidong Tian, Yitian Li, Wenqing Chen, Hao He, Yaohui Jin. "Chain-of-Thought Tuning: Masked Language Models can also Think Step By Step in Natural Language Understanding", <b>EMNLP 2023 (CCF-B)</b>. 
 <a href="https://arxiv.org/abs/2310.11721">[PDF]</a>,
-<i><b>TL,DR</b>: A Dynamic Weight Strategy via Maximizing Gradient-to-Noise Ratio in Multi-Task Learning. </i>
+<i><b>TL,DR</b>: We propose Chain-of-Thought Tuning (CoTT), a two-step reasoning framework based on prompt tuning to implement step-by-step thinking for MLMs on NLU tasks. </i>
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