Revision: 20461
http://sourceforge.net/p/gate/code/20461
Author: gate-project
Date: 2025-06-30 12:56:48 +0000 (Mon, 30 Jun 2025)
Log Message:
-----------
[jowright1] amending arxiv link to journal links
Modified Paths:
--------------
gate/trunk/doc/papers.html
gate/trunk/doc/papers.yam
Modified: gate/trunk/doc/papers.html
===================================================================
--- gate/trunk/doc/papers.html 2025-06-30 12:43:52 UTC (rev 20460)
+++ gate/trunk/doc/papers.html 2025-06-30 12:56:48 UTC (rev 20461)
@@ -257,57 +257,58 @@
<li>W. He, M. Idiart, C. Scarton, A. Villavicencio (2024) <b>Enhancing
Idiomatic Representation in Multiple Languages via an Adaptive Contrastive
Triplet Loss</b> <a class="cow-url"
href="https://aclanthology.org/2024.findings-acl.741.pdf";>https://aclanthology.org/2024.findings-acl.741.pdf</a></li>
</ul>
-
-<h3 class="cow-heading">Pre-print</h3>
-
<ul>
-<li>F. Heppell, M. E. Bakir, K. Bontcheva (2024) <b>Lying Blindly: Bypassing
ChatGPT's Safeguards to Generate Hard-to-Detect Disinformation Claims at
Scale</b> <a class="cow-url"
href="https://arxiv.org/abs/2402.08467";>https://arxiv.org/abs/2402.08467</a></li>
+<li>Z. Zhang, T. Goldsack, C. Scarton and C. Lin (2024) <b>ATLAS: Improving
Lay Summarisation with Attribute-based Control</b> In Proceedings of the 62nd
Annual Meeting of the Association for Computational Linguistics (Volume 2:
Short Papers) <a class="cow-url"
href="https://aclanthology.org/2024.acl-short.32/";>https://aclanthology.org/2024.acl-short.32/</a></li>
</ul>
<ul>
-<li>Y. Mu, P. Bai, K. Bontcheva, X. Song. (2024) <b>Addressing Topic
Granularity and Hallucination in Large Language Models for Topic Modelling</b>
<a class="cow-url"
href="https://arxiv.org/pdf/2405.00611";>https://arxiv.org/pdf/2405.00611</a></li>
+<li>J. Vasilakes, Z. Zhao, I. Vykopal, M. Gregor, M. Hyben and C. Scarton
(2024) <b>ExU: AI Models for Examining Multilingual Disinformation Narratives
and Understanding their Spread</b> In Proceedings of the 25th Annual Conference
of the European Association for Machine Translation (Volume 2) 39-40 <a
class="cow-url"
href="https://aclanthology.org/2024.eamt-2.20/";>https://aclanthology.org/2024.eamt-2.20/</a></li>
</ul>
<ul>
-<li>M. Pandya, M. Jin, K. Bontcheva, D. Maynard (2024) <b>Hostility Detection
in UK Politics: A Dataset on Online Abuse Targeting MPs</b> <a class="cow-url"
href="https://arxiv.org/abs/2412.04046";>https://arxiv.org/abs/2412.04046</a></li>
+<li>E. Gow-Smith, D. Phelps, H. T. Madabushi, C. Scarton, A. Villavicencio
(2024) <b>Word Boundary Information Isn't Useful for Encoder Language
Models</b> In Proceedings of the 9th Workshop on Representation Learning for
NLP (RepL4NLP-2024) pp118–135 <a class="cow-url"
href="https://aclanthology.org/2024.repl4nlp-1.10/";>https://aclanthology.org/2024.repl4nlp-1.10/</a></li>
</ul>
<ul>
-<li>I. Srba, O. Razuvayevskaya, J. A. Leite, R. Moro, I. B. Schlicht, S.
Tonelli, F. M. García, S. B. Lottmann, D. Teyssou, V. Porcellini, C.
Scarton, K. Bontcheva, M. Bielikova (2024) <b>A Survey on Automatic Credibility
Assessment of Textual Credibility Signals in the Era of Large Language
Models</b> <a class="cow-url"
href="https://arxiv.org/abs/2410.21360";>https://arxiv.org/abs/2410.21360</a></li>
+<li>O. Cook, C. Grimshaw, B. Wu, S. Dillon, J. Hicks, L. Jones, T. Smith, M.
Szert and X. Song (2024) <b>Efficient Annotator Reliability Assessment and
Sample Weighting for Knowledge-Based Misinformation Detection on Social
Media</b> <a class="cow-url"
href="https://aclanthology.org/2025.findings-naacl.185.pdf";>https://aclanthology.org/2025.findings-naacl.185.pdf</a></li>
</ul>
<ul>
-<li>M. Pandya, N. S. Moosavi, D. Maynard (2024) <b>Exploring the Influence of
Label Aggregation on Minority Voices: Implications for Dataset Bias and Model
Training</b> <a class="cow-url"
href="https://arxiv.org/abs/2412.04025";>https://arxiv.org/abs/2412.04025</a></li>
+<li>Y. Mu, M. Jin, X. Song, N. Aletras (2024) <b>Enhancing Data Quality
through Simple De-duplication: Navigating Responsible Computational Social
Science Research</b> In Proceedings of the 2024 Conference on Empirical Methods
in Natural Language Processing pp 12477–12492 <a class="cow-url"
href="https://aclanthology.org/2024.emnlp-main.694/";>https://aclanthology.org/2024.emnlp-main.694/</a></li>
</ul>
<ul>
-<li>Y. Li, Z. Zhao and C. Scarton (2024) <b>Label Set Optimization via
Activation Distribution Kurtosis for Zero-shot Classification with Generative
Models</b> <a class="cow-url"
href="https://arxiv.org/abs/2410.19195";>https://arxiv.org/abs/2410.19195</a></li>
+<li>A. Hughes, X. Song (2024) <b>Identifying and Aligning Medical Claims Made
on Social Media with Medical Evidence</b> In Proceedings of the 2024 Joint
International Conference on Computational Linguistics, Language Resources and
Evaluation (LREC-COLING 2024) pp 8580–8593 <a class="cow-url"
href="https://aclanthology.org/2024.lrec-main.753/";>https://aclanthology.org/2024.lrec-main.753/</a></li>
</ul>
+
+<h3 class="cow-heading">Pre-print</h3>
+
<ul>
-<li>Z. Zhang, T. Goldsack, C. Scarton and C. Lin (2024) <b>ATLAS: Improving
Lay Summarisation with Attribute-based Control</b> In Proceedings of the 62nd
Annual Meeting of the Association for Computational Linguistics (Volume 2:
Short Papers) <a class="cow-url"
href="https://aclanthology.org/2024.acl-short.32/";>https://aclanthology.org/2024.acl-short.32/</a></li>
+<li>F. Heppell, M. E. Bakir, K. Bontcheva (2024) <b>Lying Blindly: Bypassing
ChatGPT's Safeguards to Generate Hard-to-Detect Disinformation Claims at
Scale</b> <a class="cow-url"
href="https://arxiv.org/abs/2402.08467";>https://arxiv.org/abs/2402.08467</a></li>
</ul>
<ul>
-<li>J. Vasilakes, Z. Zhao, I. Vykopal, M. Gregor, M. Hyben and C. Scarton
(2024) <b>ExU: AI Models for Examining Multilingual Disinformation Narratives
and Understanding their Spread</b> <a class="cow-url"
href="https://arxiv.org/abs/2406.15443";>https://arxiv.org/abs/2406.15443</a></li>
+<li>Y. Mu, P. Bai, K. Bontcheva, X. Song. (2024) <b>Addressing Topic
Granularity and Hallucination in Large Language Models for Topic Modelling</b>
<a class="cow-url"
href="https://arxiv.org/pdf/2405.00611";>https://arxiv.org/pdf/2405.00611</a></li>
</ul>
<ul>
-<li>E. Gow-Smith, D. Phelps, H. T. Madabushi, C. Scarton, A. Villavicencio
(2024) <b>Word Boundary Information Isn't Useful for Encoder Language
Models</b> <a class="cow-url"
href="https://arxiv.org/abs/2401.07923";>https://arxiv.org/abs/2401.07923</a></li>
+<li>M. Pandya, M. Jin, K. Bontcheva, D. Maynard (2024) <b>Hostility Detection
in UK Politics: A Dataset on Online Abuse Targeting MPs</b> <a class="cow-url"
href="https://arxiv.org/abs/2412.04046";>https://arxiv.org/abs/2412.04046</a></li>
</ul>
<ul>
-<li>O. Cook, C. Grimshaw, B. Wu, S. Dillon, J. Hicks, L. Jones, T. Smith, M.
Szert and X. Song (2024) <b>Efficient Annotator Reliability Assessment and
Sample Weighting for Knowledge-Based Misinformation Detection on Social
Media</b> <a class="cow-url"
href="https://arxiv.org/abs/2410.14515";>https://arxiv.org/abs/2410.14515</a></li>
+<li>I. Srba, O. Razuvayevskaya, J. A. Leite, R. Moro, I. B. Schlicht, S.
Tonelli, F. M. García, S. B. Lottmann, D. Teyssou, V. Porcellini, C.
Scarton, K. Bontcheva, M. Bielikova (2024) <b>A Survey on Automatic Credibility
Assessment of Textual Credibility Signals in the Era of Large Language
Models</b> <a class="cow-url"
href="https://arxiv.org/abs/2410.21360";>https://arxiv.org/abs/2410.21360</a></li>
</ul>
<ul>
-<li>Y. Mu, M. Jin, X. Song, N. Aletras (2024) <b>Enhancing Data Quality
through Simple De-duplication: Navigating Responsible Computational Social
Science Research</b> <a class="cow-url"
href="https://arxiv.org/abs/2410.03545";>https://arxiv.org/abs/2410.03545</a></li>
+<li>M. Pandya, N. S. Moosavi, D. Maynard (2024) <b>Exploring the Influence of
Label Aggregation on Minority Voices: Implications for Dataset Bias and Model
Training</b> <a class="cow-url"
href="https://arxiv.org/abs/2412.04025";>https://arxiv.org/abs/2412.04025</a></li>
</ul>
<ul>
-<li>A. Hughes, X. Song (2024) <b>Identifying and Aligning Medical Claims Made
on Social Media with Medical Evidence</b> LREC-COLING 2024 <a class="cow-url"
href="https://arxiv.org/abs/2405.11219";>https://arxiv.org/abs/2405.11219</a></li>
+<li>Y. Li, Z. Zhao and C. Scarton (2024) <b>Label Set Optimization via
Activation Distribution Kurtosis for Zero-shot Classification with Generative
Models</b> <a class="cow-url"
href="https://arxiv.org/abs/2410.19195";>https://arxiv.org/abs/2410.19195</a></li>
</ul>
+
<h3 class="cow-heading">Other</h3>
<ul>
<li>J. Reid, J. Posetti, D. Maynard, N. Shabbir, D.K. Hapal (2024). <b>The
women journalists of South Africa’s Daily Maverick: SEXUALIZED, SILENCED
AND LABELED SATAN.</b> International Center for Journalists. <a
class="cow-url"
href="https://www.icfj.org/sites/default/files/2024-08/ICFJ_BigData_Carmen_v11.pdf";>https://www.icfj.org/sites/default/files/2024-08/ICFJ_BigData_Carmen_v11.pdf</a></li>
Modified: gate/trunk/doc/papers.yam
===================================================================
--- gate/trunk/doc/papers.yam 2025-06-30 12:43:52 UTC (rev 20460)
+++ gate/trunk/doc/papers.yam 2025-06-30 12:56:48 UTC (rev 20461)
@@ -135,8 +135,20 @@
- W. He, M. Idiart, C. Scarton, A. Villavicencio (2024) *Enhancing Idiomatic
Representation in Multiple Languages via an Adaptive Contrastive Triplet Loss*
%(https://aclanthology.org/2024.findings-acl.741.pdf)
+- Z. Zhang, T. Goldsack, C. Scarton and C. Lin (2024) *ATLAS: Improving Lay
Summarisation with Attribute-based Control* In Proceedings of the 62nd Annual
Meeting of the Association for Computational Linguistics (Volume 2: Short
Papers) %(https://aclanthology.org/2024.acl-short.32/)
+- J. Vasilakes, Z. Zhao, I. Vykopal, M. Gregor, M. Hyben and C. Scarton (2024)
*ExU: AI Models for Examining Multilingual Disinformation Narratives and
Understanding their Spread* In Proceedings of the 25th Annual Conference of the
European Association for Machine Translation (Volume 2) 39-40
%(https://aclanthology.org/2024.eamt-2.20/)
+- E. Gow-Smith, D. Phelps, H. T. Madabushi, C. Scarton, A. Villavicencio
(2024) *Word Boundary Information Isn't Useful for Encoder Language Models* In
Proceedings of the 9th Workshop on Representation Learning for NLP
(RepL4NLP-2024) pp118–135 %(https://aclanthology.org/2024.repl4nlp-1.10/)
+
+- O. Cook, C. Grimshaw, B. Wu, S. Dillon, J. Hicks, L. Jones, T. Smith, M.
Szert and X. Song (2024) *Efficient Annotator Reliability Assessment and Sample
Weighting for Knowledge-Based Misinformation Detection on Social Media*
%(https://aclanthology.org/2025.findings-naacl.185.pdf)
+
+- Y. Mu, M. Jin, X. Song, N. Aletras (2024) *Enhancing Data Quality through
Simple De-duplication: Navigating Responsible Computational Social Science
Research* In Proceedings of the 2024 Conference on Empirical Methods in Natural
Language Processing pp 12477–12492
%(https://aclanthology.org/2024.emnlp-main.694/)
+
+- A. Hughes, X. Song (2024) *Identifying and Aligning Medical Claims Made on
Social Media with Medical Evidence* In Proceedings of the 2024 Joint
International Conference on Computational Linguistics, Language Resources and
Evaluation (LREC-COLING 2024) pp 8580–8593
%(https://aclanthology.org/2024.lrec-main.753/)
+
+
+
%3* Pre-print
- F. Heppell, M. E. Bakir, K. Bontcheva (2024) *Lying Blindly: Bypassing
ChatGPT's Safeguards to Generate Hard-to-Detect Disinformation Claims at Scale*
%(https://arxiv.org/abs/2402.08467)
@@ -151,19 +163,8 @@
- Y. Li, Z. Zhao and C. Scarton (2024) *Label Set Optimization via Activation
Distribution Kurtosis for Zero-shot Classification with Generative Models*
%(https://arxiv.org/abs/2410.19195)
-- Z. Zhang, T. Goldsack, C. Scarton and C. Lin (2024) *ATLAS: Improving Lay
Summarisation with Attribute-based Control* In Proceedings of the 62nd Annual
Meeting of the Association for Computational Linguistics (Volume 2: Short
Papers) %(https://aclanthology.org/2024.acl-short.32/)
-- J. Vasilakes, Z. Zhao, I. Vykopal, M. Gregor, M. Hyben and C. Scarton (2024)
*ExU: AI Models for Examining Multilingual Disinformation Narratives and
Understanding their Spread* %(https://arxiv.org/abs/2406.15443)
-- E. Gow-Smith, D. Phelps, H. T. Madabushi, C. Scarton, A. Villavicencio
(2024) *Word Boundary Information Isn't Useful for Encoder Language Models*
%(https://arxiv.org/abs/2401.07923)
-
-- O. Cook, C. Grimshaw, B. Wu, S. Dillon, J. Hicks, L. Jones, T. Smith, M.
Szert and X. Song (2024) *Efficient Annotator Reliability Assessment and Sample
Weighting for Knowledge-Based Misinformation Detection on Social Media*
%(https://arxiv.org/abs/2410.14515)
-
-- Y. Mu, M. Jin, X. Song, N. Aletras (2024) *Enhancing Data Quality through
Simple De-duplication: Navigating Responsible Computational Social Science
Research* %(https://arxiv.org/abs/2410.03545)
-
-- A. Hughes, X. Song (2024) *Identifying and Aligning Medical Claims Made on
Social Media with Medical Evidence* LREC-COLING 2024
%(https://arxiv.org/abs/2405.11219)
-
-
%3* Other
- J. Reid, J. Posetti, D. Maynard, N. Shabbir, D.K. Hapal (2024). *The women
journalists of South Africa’s Daily Maverick: SEXUALIZED, SILENCED AND LABELED
SATAN.* International Center for Journalists.
https://www.icfj.org/sites/default/files/2024-08/ICFJ_BigData_Carmen_v11.pdf
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