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:
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[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
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