From: <gat...@us...> - 2024-02-27 16:38:05
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Revision: 20402 http://sourceforge.net/p/gate/code/20402 Author: gate-project Date: 2024-02-27 16:38:00 +0000 (Tue, 27 Feb 2024) Log Message: ----------- [yidamu] Edited with GATEWiki Modified Paths: -------------- gate/trunk/doc/papers.html gate/trunk/doc/papers.yam Modified: gate/trunk/doc/papers.html =================================================================== --- gate/trunk/doc/papers.html 2024-02-27 16:34:24 UTC (rev 20401) +++ gate/trunk/doc/papers.html 2024-02-27 16:38:00 UTC (rev 20402) @@ -98,12 +98,24 @@ <ul> <li>Yida Mu, Pu Niu, Kalina Bontcheva, Nikolaos Aletras. (2024) Predicting and Analyzing the Popularity of False Rumors in Weibo. Expert Systems with Applications (Elsevier). <a class="cow-url" href="https://www.sciencedirect.com/science/article/pii/S0957417423032931">https://www.sciencedirect.com/science/article/pii/S0957417423032931</a></li> </ul> -<h3 class="cow-heading">Conference papers</h3> +<h3 class="cow-heading">Conference papers +-Yida Mu, Chun Dong, Kalina Bontcheva, Xingyi Song. Large Language Models Offer an Alternative to the Traditional Approach of Topic Modelling LREC-COLING 2024</h3> + +<ul> +<li>Yida Mu, Mali Jin, Kalina Bontcheva, Xingyi Song. Examining Temporalities on Stance Detection Towards COVID-19 Vaccination. LREC-COLING 2024 <a class="cow-url" href="https://arxiv.org/abs/2304.04806">https://arxiv.org/abs/2304.04806</a></li> +</ul> + +<ul> +<li>Yida Mu, Xingyi Song, Kalina Bontcheva, and Nikolaos Aletras. Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets. LREC-COLING 2024 <a class="cow-url" href="https://arxiv.org/abs/2309.11576">https://arxiv.org/abs/2309.11576</a></li> +</ul> + +<ul> +<li>Yida Mu, Ben P. Wu, William Thorne, Ambrose Robinson, Nikolaos Aletras, Carolina Scarton, Kalina Bontcheva, Xingyi Song. Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science. LREC-COLING 2024 <a class="cow-url" href="https://arxiv.org/abs/2305.14310">https://arxiv.org/abs/2305.14310</a></li> +</ul> <h2 class="cow-heading">2023</h2><h3 class="cow-heading">Journal papers</h3> <ul> <li>Ye Jiang; Xiaomin Yu; Yimin Wang; Xiaoman Xu; Xingyi Song; Diana Maynard. Similarity-Aware Multimodal Prompt Learning for Fake News Detection. Journal of Information Sciences (pre-print) <a class="cow-url" href="https://www.sciencedirect.com/science/article/abs/pii/S0020025523010319">https://www.sciencedirect.com/science/article/abs/pii/S0020025523010319</a></li> </ul> - <h3 class="cow-heading">Conference papers</h3> <ul> @@ -122,19 +134,8 @@ <li>Yida Mu, Ye Jiang, Freddy Heppell, Iknoor Singh, Carolina Scarton, Kalina Bontcheva, Xingyi Song. A Large-Scale Comparative Study of Accurate COVID-19 Information versus Misinformation. ICWSM TrueHealth Workshop <a class="cow-url" href="https://arxiv.org/abs/2304.04811">https://arxiv.org/abs/2304.04811</a></li> </ul> -<ul> -<li>Yida Mu, Mali Jin, Kalina Bontcheva, Xingyi Song. Examining Temporalities on Stance Detection Towards COVID-19 Vaccination. ICWSM 2023 Data Challenge <a class="cow-url" href="https://arxiv.org/abs/2304.04806">https://arxiv.org/abs/2304.04806</a></li> -</ul> <h3 class="cow-heading">Pre-print</h3> <ul> -<li>Yida Mu, Xingyi Song, Kalina Bontcheva, and Nikolaos Aletras. Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets <a class="cow-url" href="https://arxiv.org/abs/2309.11576">https://arxiv.org/abs/2309.11576</a></li> -</ul> - -<ul> -<li>Yida Mu, Ben P. Wu, William Thorne, Ambrose Robinson, Nikolaos Aletras, Carolina Scarton, Kalina Bontcheva, Xingyi Song. Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science. <a class="cow-url" href="https://arxiv.org/abs/2305.14310">https://arxiv.org/abs/2305.14310</a></li> -</ul> - -<ul> <li>Mali Jin, Yida Mu, Diana Maynard, Kalina Bontcheva. Examining Temporal Bias in Abusive Language Detection <a class="cow-url" href="https://arxiv.org/abs/2309.14146">https://arxiv.org/abs/2309.14146</a></li> </ul> <h3 class="cow-heading">Other</h3> Modified: gate/trunk/doc/papers.yam =================================================================== --- gate/trunk/doc/papers.yam 2024-02-27 16:34:24 UTC (rev 20401) +++ gate/trunk/doc/papers.yam 2024-02-27 16:38:00 UTC (rev 20402) @@ -47,12 +47,18 @@ - Yida Mu, Pu Niu, Kalina Bontcheva, Nikolaos Aletras. (2024) Predicting and Analyzing the Popularity of False Rumors in Weibo. Expert Systems with Applications (Elsevier). %(https://www.sciencedirect.com/science/article/pii/S0957417423032931) %3* Conference papers +-Yida Mu, Chun Dong, Kalina Bontcheva, Xingyi Song. Large Language Models Offer an Alternative to the Traditional Approach of Topic Modelling LREC-COLING 2024 +- Yida Mu, Mali Jin, Kalina Bontcheva, Xingyi Song. Examining Temporalities on Stance Detection Towards COVID-19 Vaccination. LREC-COLING 2024 %(https://arxiv.org/abs/2304.04806) + +- Yida Mu, Xingyi Song, Kalina Bontcheva, and Nikolaos Aletras. Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets. LREC-COLING 2024 %(https://arxiv.org/abs/2309.11576) + +- Yida Mu, Ben P. Wu, William Thorne, Ambrose Robinson, Nikolaos Aletras, Carolina Scarton, Kalina Bontcheva, Xingyi Song. Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science. LREC-COLING 2024 %(https://arxiv.org/abs/2305.14310) + %2* 2023 %3* Journal papers - Ye Jiang; Xiaomin Yu; Yimin Wang; Xiaoman Xu; Xingyi Song; Diana Maynard. Similarity-Aware Multimodal Prompt Learning for Fake News Detection. Journal of Information Sciences (pre-print) %(https://www.sciencedirect.com/science/article/abs/pii/S0020025523010319) - %3* Conference papers - Matt Canute, Mali Jin, Hannah Holtzclaw, Alberto Lusoli, Philippa Adams, Mugdha Pandya, Maite Taboada, Diana Maynard, and Wendy Hui Kyong Chun. 2023. Dimensions of Online Conflict: Towards Modeling Agonism. In Findings of the Association for Computational Linguistics: EMNLP 2023, pages 12194–12209, Singapore. Association for Computational Linguistics. %(https://aclanthology.org/2023.findings-emnlp.816/) @@ -63,13 +69,8 @@ - Yida Mu, Ye Jiang, Freddy Heppell, Iknoor Singh, Carolina Scarton, Kalina Bontcheva, Xingyi Song. A Large-Scale Comparative Study of Accurate COVID-19 Information versus Misinformation. ICWSM TrueHealth Workshop %(https://arxiv.org/abs/2304.04811) -- Yida Mu, Mali Jin, Kalina Bontcheva, Xingyi Song. Examining Temporalities on Stance Detection Towards COVID-19 Vaccination. ICWSM 2023 Data Challenge %(https://arxiv.org/abs/2304.04806) %3* Pre-print -- Yida Mu, Xingyi Song, Kalina Bontcheva, and Nikolaos Aletras. Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets %(https://arxiv.org/abs/2309.11576) - -- Yida Mu, Ben P. Wu, William Thorne, Ambrose Robinson, Nikolaos Aletras, Carolina Scarton, Kalina Bontcheva, Xingyi Song. Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science. %(https://arxiv.org/abs/2305.14310) - - Mali Jin, Yida Mu, Diana Maynard, Kalina Bontcheva. Examining Temporal Bias in Abusive Language Detection %(https://arxiv.org/abs/2309.14146) %3* Other This was sent by the SourceForge.net collaborative development platform, the world's largest Open Source development site. |