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@@ -187,9 +187,8 @@
             </h4>
             <p class="publication-meta">
               <strong>Authors:</strong> <strong>Truong-Phuc Nguyen</strong>,
-              Quy-Nhan Nguyen, Van-Quyet Nguyen &
-              Minh-Tien Nguyen<br />
-              <strong>Status:</strong> Under Writing
+              Quy-Nhan Nguyen & Minh-Tien Nguyen<br />
+              <strong>Status:</strong> Submitted to ACL ARR 2026 January Cycle.
             </p>
           </div>
           
@@ -202,9 +201,12 @@
               <strong>Authors:</strong> <strong>Truong-Phuc Nguyen</strong>,
               Quy-Nhan Nguyen, Manh-Cuong Phan, Chi-Hai Cao, Trinh-Hoai-An
               Duong, Minh-Tien Nguyen<br />
-              <strong>Conference:</strong> The 17th International Conference on
-              Knowledge and Systems Engineering (KSE 2025), ISAILD, 2025<br />
-              <strong>Status:</strong> Accepted
+              <strong>Published in:</strong> Proceedings of 2025 17th International Conference on Knowledge and System Engineering (KSE), Da Lat, Vietnam, 2025, pp. 1-5<br />
+              <a
+                href="https://doi.org/10.1109/KSE68178.2025.11309584"
+                class="doi-link"
+                target="_blank"
+                >DOI: 10.1109/KSE68178.2025.11309584</a>
             </p>
           </div>
 
@@ -237,9 +239,7 @@
               <strong>Authors:</strong> Thu-Ha Nguyen,
               <strong>Truong-Phuc Nguyen</strong>, Khang T. Trung, Huu-Loi Le,
               Le Thi Viet Huong, Chi Thanh Nguyen, and Minh-Tien Nguyen<br />
-              <strong>Published in:</strong> Proceedings of 2024 16th
-              International Conference on Knowledge and Systems Engineering
-              (KSE), Kuala Lumpur, Malaysia, 2024, pp. 1-6. IEEE<br />
+              <strong>Published in:</strong> Proceedings of 2024 16th International Conference on Knowledge and System Engineering (KSE), Kuala Lumpur, Malaysia, 2024, pp. 440-446.<br />
               <a
                 href="https://doi.org/10.1109/KSE63888.2024.11063637"
                 class="doi-link"
@@ -315,7 +315,7 @@
                   1.72B) models specifically for the legal domain in Vietnam 
                   through continual pretraining of language models on large 
                   datasets from four sources of authoritative legal documents 
-                  in Vietnam. Legal pretrained models are trained on high-quality
+                  in Vietnam. Legal pretrained models are trained on 16GB high-quality
                   large-scale synthetic datasets, compared with 7 state-of-the-art 
                   Vietnamese general and legal LMs of the same size across 10 
                   benchmarks spanning 4 main tasks: Information Retrieval,