Revision: 20405
http://sourceforge.net/p/gate/code/20405
Author: gate-project
Date: 2024-07-12 15:26:26 +0000 (Fri, 12 Jul 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 2024-07-05 09:41:48 UTC (rev 20404)
+++ gate/trunk/doc/papers.html 2024-07-12 15:26:26 UTC (rev 20405)
@@ -108,20 +108,24 @@
<h3 class="cow-heading">Conference papers</h3>
<ul>
-<li>Yida Mu, Chun Dong, Kalina Bontcheva, Xingyi Song. Large Language Models
Offer an Alternative to the Traditional Approach of Topic Modelling LREC-COLING
2024</li>
+<li>Yida Mu, Chun Dong, Kalina Bontcheva, Xingyi Song. Large Language Models
Offer an Alternative to the Traditional Approach of Topic Modelling LREC-COLING
2024 <a class="cow-url"
href="https://aclanthology.org/2024.lrec-main.887.pdf";>https://aclanthology.org/2024.lrec-main.887.pdf</a></li>
</ul>
<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>
+<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://aclanthology.org/2024.lrec-main.594/";>https://aclanthology.org/2024.lrec-main.594/</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>
+<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://aclanthology.org/2024.lrec-main.595.pdf";>https://aclanthology.org/2024.lrec-main.595.pdf</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>
+<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://aclanthology.org/2024.lrec-main.1055/";>https://aclanthology.org/2024.lrec-main.1055/</a></li>
</ul>
+<h3 class="cow-heading">Pre-print</h3>
+<ul>
+<li>Y Mu, P Bai, K Bontcheva, X Song. (2024) Addressing Topic Granularity and
Hallucination in Large Language Models for Topic Modelling <a class="cow-url"
href="https://arxiv.org/pdf/2405.00611";>https://arxiv.org/pdf/2405.00611</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>
Modified: gate/trunk/doc/papers.yam
===================================================================
--- gate/trunk/doc/papers.yam 2024-07-05 09:41:48 UTC (rev 20404)
+++ gate/trunk/doc/papers.yam 2024-07-12 15:26:26 UTC (rev 20405)
@@ -53,14 +53,17 @@
%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, Chun Dong, Kalina Bontcheva, Xingyi Song. Large Language Models
Offer an Alternative to the Traditional Approach of Topic Modelling LREC-COLING
2024 %(https://aclanthology.org/2024.lrec-main.887.pdf)
-- 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, Mali Jin, Kalina Bontcheva, Xingyi Song. Examining Temporalities on
Stance Detection Towards COVID-19 Vaccination. LREC-COLING 2024
%(https://aclanthology.org/2024.lrec-main.594/)
-- 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, Xingyi Song, Kalina Bontcheva, and Nikolaos Aletras. Examining the
Limitations of Computational Rumor Detection Models Trained on Static Datasets.
LREC-COLING 2024 %(https://aclanthology.org/2024.lrec-main.595.pdf)
-- 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)
+- 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://aclanthology.org/2024.lrec-main.1055/)
+%3* Pre-print
+- Y Mu, P Bai, K Bontcheva, X Song. (2024) Addressing Topic Granularity and
Hallucination in Large Language Models for Topic Modelling
%(https://arxiv.org/pdf/2405.00611)
+
%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)
This was sent by the SourceForge.net collaborative development platform, the
world's largest Open Source development site.
_______________________________________________
GATE-cvs mailing list
[email protected]
https://lists.sourceforge.net/lists/listinfo/gate-cvs
