From: <gat...@us...> - 2024-08-29 16:21:32
|
Revision: 20406 http://sourceforge.net/p/gate/code/20406 Author: gate-project Date: 2024-08-29 16:21:28 +0000 (Thu, 29 Aug 2024) Log Message: ----------- [YueLi] 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 2024-07-12 15:26:26 UTC (rev 20405) +++ gate/trunk/doc/papers.html 2024-08-29 16:21:28 UTC (rev 20406) @@ -122,6 +122,10 @@ <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://aclanthology.org/2024.lrec-main.1055/">https://aclanthology.org/2024.lrec-main.1055/</a></li> </ul> + +<ul> +<li>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. <a class="cow-url" href="https://aclanthology.org/2024.lrec-main.253/">https://aclanthology.org/2024.lrec-main.253/</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> Modified: gate/trunk/doc/papers.yam =================================================================== --- gate/trunk/doc/papers.yam 2024-07-12 15:26:26 UTC (rev 20405) +++ gate/trunk/doc/papers.yam 2024-08-29 16:21:28 UTC (rev 20406) @@ -61,6 +61,8 @@ - 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/) +- 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/) + %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) This was sent by the SourceForge.net collaborative development platform, the world's largest Open Source development site. |
From: <gat...@us...> - 2024-08-29 19:23:37
|
Revision: 20407 http://sourceforge.net/p/gate/code/20407 Author: gate-project Date: 2024-08-29 19:23:33 +0000 (Thu, 29 Aug 2024) Log Message: ----------- [diana] a few preprints etc Modified Paths: -------------- gate/trunk/doc/papers.html gate/trunk/doc/papers.yam Modified: gate/trunk/doc/papers.html =================================================================== --- gate/trunk/doc/papers.html 2024-08-29 16:21:28 UTC (rev 20406) +++ gate/trunk/doc/papers.html 2024-08-29 19:23:33 UTC (rev 20407) @@ -130,6 +130,22 @@ <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> + +<ul> +<li>Y. Jiang, T. Wang, X. Xu, Y. Wang, X. Song & D. Maynard (2024). Cross-Modal Augmentation for Few-Shot Multimodal Fake News Detection. <a class="cow-url" href="arXiv preprint arXiv:2407.12880">arXiv preprint arXiv:2407.12880</a></li> +</ul> +<h3 class="cow-heading">Other</h3> +<ul> +<li>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. <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> +</ul> + +<ul> +<li>J. Posetti, D. Maynard, I. Miranda and N. Shabbir (2024). CARMEN ARISTEGUI: A target of gendered disinformation, censorship & surveillance in a climate of impunity International Center for Journalists. <a class="cow-url" href="https://www.icfj.org/sites/default/files/2024-08/ICFJ_BigData_Carmen_v11.pdf">PDF</a></li> +</ul> + +<ul> +<li>J. Posetti, D. Maynard, A. al-Kaisy, Z. Harb and N. Shabbir (2024). GHADA OUEISS: A journalist at the epicenter of online risk amid weaponized geopolitical threats. International Center for Journalists. <a class="cow-url" href="https://www.icfj.org/sites/default/files/2023-04/Ghada_ICFJ_Case%20Study.pdf">PDF</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> @@ -170,6 +186,7 @@ <li>Posetti, J., Maynard, D. and Shabbir, N. (2023). Guidelines for Monitoring Online Violence Against Female Journalists. OSCE. <a class="cow-url" href="https://www.osce.org/representative-on-freedom-of-media/554098">https://www.osce.org/representative-on-freedom-of-media/554098</a></li> </ul> + <h2 class="cow-heading">2022</h2> <h3 class="cow-heading">Conference papers</h3> <ul> Modified: gate/trunk/doc/papers.yam =================================================================== --- gate/trunk/doc/papers.yam 2024-08-29 16:21:28 UTC (rev 20406) +++ gate/trunk/doc/papers.yam 2024-08-29 19:23:33 UTC (rev 20407) @@ -66,6 +66,15 @@ %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) +- Y. Jiang, T. Wang, X. Xu, Y. Wang, X. Song & D. Maynard (2024). Cross-Modal Augmentation for Few-Shot Multimodal Fake News Detection. %(arXiv preprint arXiv:2407.12880) + +%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 + +- J. Posetti, D. Maynard, I. Miranda and N. Shabbir (2024). CARMEN ARISTEGUI: A target of gendered disinformation, censorship & surveillance in a climate of impunity International Center for Journalists. %(https://www.icfj.org/sites/default/files/2024-08/ICFJ_BigData_Carmen_v11.pdf, PDF) + +- J. Posetti, D. Maynard, A. al-Kaisy, Z. Harb and N. Shabbir (2024). GHADA OUEISS: A journalist at the epicenter of online risk amid weaponized geopolitical threats. International Center for Journalists. %(https://www.icfj.org/sites/default/files/2023-04/Ghada_ICFJ_Case%20Study.pdf, PDF) + %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) @@ -93,6 +102,7 @@ - Posetti, J., Maynard, D. and Shabbir, N. (2023). Guidelines for Monitoring Online Violence Against Female Journalists. OSCE. %(https://www.osce.org/representative-on-freedom-of-media/554098) + %2* 2022 %3* Conference papers This was sent by the SourceForge.net collaborative development platform, the world's largest Open Source development site. |
From: <gat...@us...> - 2024-08-30 08:54:26
|
Revision: 20408 http://sourceforge.net/p/gate/code/20408 Author: gate-project Date: 2024-08-30 08:54:23 +0000 (Fri, 30 Aug 2024) Log Message: ----------- [freddyheppell] Add lying blindly preprint Modified Paths: -------------- gate/trunk/doc/papers.html gate/trunk/doc/papers.yam Modified: gate/trunk/doc/papers.html =================================================================== --- gate/trunk/doc/papers.html 2024-08-29 19:23:33 UTC (rev 20407) +++ gate/trunk/doc/papers.html 2024-08-30 08:54:23 UTC (rev 20408) @@ -127,7 +127,12 @@ <li>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. <a class="cow-url" href="https://aclanthology.org/2024.lrec-main.253/">https://aclanthology.org/2024.lrec-main.253/</a></li> </ul> <h3 class="cow-heading">Pre-print</h3> + <ul> +<li>Freddy Heppell, Mehmet E. Bakir, Kalina Bontcheva (2024) Lying Blindly: Bypassing ChatGPT's Safeguards to Generate Hard-to-Detect Disinformation Claims at Scale <a class="cow-url" href="https://arxiv.org/abs/2402.08467">https://arxiv.org/abs/2402.08467</a></li> +</ul> + +<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> Modified: gate/trunk/doc/papers.yam =================================================================== --- gate/trunk/doc/papers.yam 2024-08-29 19:23:33 UTC (rev 20407) +++ gate/trunk/doc/papers.yam 2024-08-30 08:54:23 UTC (rev 20408) @@ -64,6 +64,9 @@ - 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/) %3* Pre-print + +- Freddy Heppell, Mehmet E. Bakir, Kalina Bontcheva (2024) Lying Blindly: Bypassing ChatGPT's Safeguards to Generate Hard-to-Detect Disinformation Claims at Scale %(https://arxiv.org/abs/2402.08467) + - 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) - Y. Jiang, T. Wang, X. Xu, Y. Wang, X. Song & D. Maynard (2024). Cross-Modal Augmentation for Few-Shot Multimodal Fake News Detection. %(arXiv preprint arXiv:2407.12880) This was sent by the SourceForge.net collaborative development platform, the world's largest Open Source development site. |
From: <gat...@us...> - 2024-08-30 11:08:42
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Revision: 20409 http://sourceforge.net/p/gate/code/20409 Author: gate-project Date: 2024-08-30 11:08:40 +0000 (Fri, 30 Aug 2024) Log Message: ----------- [jaugusto97] 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 2024-08-30 08:54:23 UTC (rev 20408) +++ gate/trunk/doc/papers.html 2024-08-30 11:08:40 UTC (rev 20409) @@ -127,6 +127,9 @@ <li>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. <a class="cow-url" href="https://aclanthology.org/2024.lrec-main.253/">https://aclanthology.org/2024.lrec-main.253/</a></li> </ul> <h3 class="cow-heading">Pre-print</h3> +<ul> +<li>Leite, J. A., Razuvayevskaya, O., Bontcheva, K., & Scarton, C. (2024) EUvsDisinfo: a Dataset for Multilingual Detection of Pro-Kremlin Disinformation in News Articles <a class="cow-url" href="arXiv preprint arXiv:2406.12614">arXiv preprint arXiv:2406.12614</a></li> +</ul> <ul> <li>Freddy Heppell, Mehmet E. Bakir, Kalina Bontcheva (2024) Lying Blindly: Bypassing ChatGPT's Safeguards to Generate Hard-to-Detect Disinformation Claims at Scale <a class="cow-url" href="https://arxiv.org/abs/2402.08467">https://arxiv.org/abs/2402.08467</a></li> Modified: gate/trunk/doc/papers.yam =================================================================== --- gate/trunk/doc/papers.yam 2024-08-30 08:54:23 UTC (rev 20408) +++ gate/trunk/doc/papers.yam 2024-08-30 11:08:40 UTC (rev 20409) @@ -64,6 +64,7 @@ - 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/) %3* Pre-print +- Leite, J. A., Razuvayevskaya, O., Bontcheva, K., & Scarton, C. (2024) EUvsDisinfo: a Dataset for Multilingual Detection of Pro-Kremlin Disinformation in News Articles %(arXiv preprint arXiv:2406.12614) - Freddy Heppell, Mehmet E. Bakir, Kalina Bontcheva (2024) Lying Blindly: Bypassing ChatGPT's Safeguards to Generate Hard-to-Detect Disinformation Claims at Scale %(https://arxiv.org/abs/2402.08467) This was sent by the SourceForge.net collaborative development platform, the world's largest Open Source development site. |