Revision: 20459
http://sourceforge.net/p/gate/code/20459
Author: gate-project
Date: 2025-06-30 12:31:19 +0000 (Mon, 30 Jun 2025)
Log Message:
-----------
[jowright1] amending to better link
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 12:17:15 UTC (rev 20458)
+++ gate/trunk/doc/papers.html 2025-06-30 12:31:19 UTC (rev 20459)
@@ -205,7 +205,7 @@
</ul>
<ul>
-<li>W. Thorne, A. Robinson, B. Peng, C. Lin, D. Maynard (2024) <b>Increasing
the Difficulty of Automatically Generated Questions via Reinforcement Learning
with Synthetic Preference.</b> Proc of The 4th International Conference on
Natural Language Processing for Digital Humanities – NLP4DH 2024. <a
class="cow-url"
href="https://aclanthology.org/2024.nlp4dh-1.43.pdf";>https://aclanthology.org/2024.nlp4dh-1.43.pdf</a></li>
+<li>W. Thorne, A. Robinson, B. Peng, C. Lin, D. Maynard (2024) <b>Increasing
the Difficulty of Automatically Generated Questions via Reinforcement Learning
with Synthetic Preference.</b> In Proceedings of The 4th International
Conference on Natural Language Processing for Digital Humanities – NLP4DH
2024. <a class="cow-url"
href="https://aclanthology.org/2024.nlp4dh-1.43.pdf";>https://aclanthology.org/2024.nlp4dh-1.43.pdf</a></li>
</ul>
<ul>
@@ -213,11 +213,11 @@
</ul>
<ul>
- <li>C. Grimshaw, K. Bontcheva, X. Song (2024) <b>Sheffieldveraai at
semeval-2024 task 4: Prompting and fine-tuning a large vision-language model
for binary classification of persuasion techniques in memes</b> In Proceedings
of the 18th International Workshop on Semantic Evaluation (SemEval-2024) pp
2051-2056 <a class="cow-url"
href="https://aclanthology.org/2024.semeval-1.278/";>https://aclanthology.org/2024.semeval-1.278/</a></li>
+ <li>C. Grimshaw, K. Bontcheva, X. Song (2024) <b>Sheffieldveraai at
SemEval-2024 Task 4: Prompting and fine-tuning a large vision-language model
for binary classification of persuasion techniques in memes</b> In Proceedings
of the 18th International Workshop on Semantic Evaluation (SemEval-2024) pp
2051-2056 <a class="cow-url"
href="https://aclanthology.org/2024.semeval-1.278/";>https://aclanthology.org/2024.semeval-1.278/</a></li>
</ul>
<ul>
-<li>X. Yang, Y. Mu, K. Bontcheva, X. Song (2024) <b>Optimising LLM-driven
machine translation with context-aware sliding windows</b> In Proceedings of
the Ninth Conference on Machine Translation, 1004-1010 <a class="cow-url"
href="https://eprints.whiterose.ac.uk/223235/1/2024.wmt-1.101.pdf";>https://eprints.whiterose.ac.uk/223235/1/2024.wmt-1.101.pdf</a></li>
+<li>X. Yang, Y. Mu, K. Bontcheva, X. Song (2024) <b>Optimising LLM-Driven
Machine Translation with Context-Aware Sliding Windows</b> In Proceedings of
the Ninth Conference on Machine Translation, 1004-1010 <a class="cow-url"
href="https://aclanthology.org/2024.wmt-1.101/";>https://aclanthology.org/2024.wmt-1.101/</a></li>
</ul>
<ul>
@@ -245,7 +245,7 @@
</ul>
<ul>
-<li>A. Stolfo, B. Wu, W. Gurnee, Y. Belinkov, X. Song, M. Sachan, N. Nanda
(2024) <b>Confidence Regulation Neurons in Language Models</b> In NeurIPS 2024
<a class="cow-url"
href="https://proceedings.neurips.cc/paper_files/paper/2024/hash/e21955c93dede886af1d0d362c756757-Abstract-Conference.html";>https://proceedings.neurips.cc/paper_files/paper/2024/hash/e21955c93dede886af1d0d362c756757-Abstract-Conference.html</a>
</li>
+<li>A. Stolfo, B. Wu, W. Gurnee, Y. Belinkov, X. Song, M. Sachan, N. Nanda
(2024) <b>Confidence Regulation Neurons in Language Models</b> In NeurIPS 2024
<a class="cow-url"
href="https://proceedings.neurips.cc/paper_files/paper/2024/file/e21955c93dede886af1d0d362c756757-Paper-Conference.pdf";>https://proceedings.neurips.cc/paper_files/paper/2024/file/e21955c93dede886af1d0d362c756757-Paper-Conference.pdf</a>
</li>
</ul>
Modified: gate/trunk/doc/papers.yam
===================================================================
--- gate/trunk/doc/papers.yam 2025-06-30 12:17:15 UTC (rev 20458)
+++ gate/trunk/doc/papers.yam 2025-06-30 12:31:19 UTC (rev 20459)
@@ -108,13 +108,13 @@
- Yue Li and Carolina Scarton (2024) *Can We Identify Stance without Target
Arguments? A Study for Rumour Stance Classification.* In Proceedings of the
2024 Joint International Conference on Computational Linguistics, Language
Resources and Evaluation (LREC-COLING 2024), pages 2844–2851, Torino, Italia.
ELRA and ICCL. %(https://aclanthology.org/2024.lrec-main.253/)
-- W. Thorne, A. Robinson, B. Peng, C. Lin, D. Maynard (2024) *Increasing the
Difficulty of Automatically Generated Questions via Reinforcement Learning with
Synthetic Preference.* Proc of The 4th International Conference on Natural
Language Processing for Digital Humanities – NLP4DH 2024.
%(https://aclanthology.org/2024.nlp4dh-1.43.pdf)
+- W. Thorne, A. Robinson, B. Peng, C. Lin, D. Maynard (2024) *Increasing the
Difficulty of Automatically Generated Questions via Reinforcement Learning with
Synthetic Preference.* In Proceedings of The 4th International Conference on
Natural Language Processing for Digital Humanities – NLP4DH 2024.
%(https://aclanthology.org/2024.nlp4dh-1.43.pdf)
- A. Zareie, K. Bontcheva, C. Scarton (2024) *A Lightweight Approach for User
and Keyword Classification in Controversial Topics* in Aiello, L.M.,
Chakraborty, T., Gaito, S. (eds) Social Networks Analysis and Mining. ASONAM
2024. Lecture Notes in Computer Science, vol 15212. Springer, Cham.
%(https://link.springer.com/chapter/10.1007/978-3-031-78538-2_21)
- - C. Grimshaw, K. Bontcheva, X. Song (2024) *Sheffieldveraai at semeval-2024
task 4: Prompting and fine-tuning a large vision-language model for binary
classification of persuasion techniques in memes* In Proceedings of the 18th
International Workshop on Semantic Evaluation (SemEval-2024) pp 2051-2056
%(https://aclanthology.org/2024.semeval-1.278/)
+ - C. Grimshaw, K. Bontcheva, X. Song (2024) *Sheffieldveraai at SemEval-2024
Task 4: Prompting and fine-tuning a large vision-language model for binary
classification of persuasion techniques in memes* In Proceedings of the 18th
International Workshop on Semantic Evaluation (SemEval-2024) pp 2051-2056
%(https://aclanthology.org/2024.semeval-1.278/)
-- X. Yang, Y. Mu, K. Bontcheva, X. Song (2024) *Optimising LLM-driven machine
translation with context-aware sliding windows* In Proceedings of the Ninth
Conference on Machine Translation, 1004-1010
%(https://eprints.whiterose.ac.uk/223235/1/2024.wmt-1.101.pdf)
+- X. Yang, Y. Mu, K. Bontcheva, X. Song (2024) *Optimising LLM-Driven Machine
Translation with Context-Aware Sliding Windows* In Proceedings of the Ninth
Conference on Machine Translation, 1004-1010
%(https://aclanthology.org/2024.wmt-1.101/)
- W. Thorne, A. Robinson, B. Peng, C. Lin, D. Maynard (2024) *Increasing the
Difficulty of Automatically Generated Questions via Reinforcement Learning with
Synthetic Preference for Cost-Effective Cultural Heritage Dataset Generation*
In Proceedings of the 4th International Conference on Natural Language
Processing for Digital Humanities %(https://aclanthology.org/2024.nlp4dh-1.43/)
@@ -128,7 +128,7 @@
- P. Przybyła, B. Wu, A. Shvets, Y. Mu, K. C. Sheang, X. Song and H. Saggion
(2024) *Overview of the CLEF-2024 CheckThat! Lab Task 6 on Robustness of
Credibility Assessment with Adversarial Examples (InCrediblAE)* Working Notes
of CLEF 2024 %(https://ceur-ws.org/Vol-3740/paper-28.pdf)
-- A. Stolfo, B. Wu, W. Gurnee, Y. Belinkov, X. Song, M. Sachan, N. Nanda
(2024) *Confidence Regulation Neurons in Language Models* In NeurIPS 2024
%(https://proceedings.neurips.cc/paper_files/paper/2024/hash/e21955c93dede886af1d0d362c756757-Abstract-Conference.html)
+- A. Stolfo, B. Wu, W. Gurnee, Y. Belinkov, X. Song, M. Sachan, N. Nanda
(2024) *Confidence Regulation Neurons in Language Models* In NeurIPS 2024
%(https://proceedings.neurips.cc/paper_files/paper/2024/file/e21955c93dede886af1d0d362c756757-Paper-Conference.pdf)
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
