add_naip

add AAAI NAIP

Author: ssocean

index.html

@@ -974,6 +974,24 @@ <h2 id="publications">Selected Publications</h2>
         <div class="spanner"></div>
     </div>
 
+    <div class="paper"><img class="paper" src="./resources/paper_icon/AAAI_2025_NAIP.png"
+            title="From Words to Worth: Newborn Article Impact Prediction with LLM">
+        <div><strong>From Words to Worth: Newborn Article Impact Prediction with LLM</strong>
+            <br>Penghai Zhao, Qinghua Xing, Kairan Dou, Jinyu Tian, Ying Tai, Jian Yang, Ming-Ming Cheng, Xiang Li#<br>in AAAI, 2025<br>
+            <a href="https://arxiv.org/abs/2408.03934">[Paper]</a>
+            <a href="./resources/bibtex/AAAI_2025_NAIP.bib">[BibTex]</a>
+            <a href="https://github.com/ssocean/NAIP">[Code]</a><img
+                src="https://img.shields.io/github/stars/ssocean/NAIP?style=social" />
+            <br>
+            <alert>
+                This paper introduces an LLM-based method to predict newborn article impact from titles and abstracts, supported by a
+                new normalized indicator (TNCSI_SP) and a 12K curated dataset.
+            </alert>
+        </div>
+        <div class="spanner"></div>
+    </div>
+
+
 	<div class="paper"><img class="paper" src="./resources/paper_icon/NeurIPS_2023_FGVP.png" title="Fine-Grained Visual Prompting">
         <div><strong>Fine-Grained Visual Prompting</strong>
             <br>Lingfeng Yang, Yueze Wang, Xiang Li#, Xinlong Wang, Jian Yang#<br>in NeurIPS, 2023<br>

resources/bibtex/AAAI_2025_NAIP.bib

@@ -0,0 +1,9 @@
+@inproceedings{zhao2025words,
+  title={From Words to Worth: Newborn Article Impact Prediction with LLM},
+  author={Zhao, Penghai and Xing, Qinghua and Dou, Kairan and Tian, Jinyu and Tai, Ying and Yang, Jian and Cheng, Ming-Ming and Li, Xiang},
+  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
+  volume={39},
+  number={1},
+  pages={1183--1191},
+  year={2025}
+}