From: <gat...@us...> - 2023-05-24 20:31:26
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Revision: 20393 http://sourceforge.net/p/gate/code/20393 Author: gate-project Date: 2023-05-24 20:31:21 +0000 (Wed, 24 May 2023) 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 2023-05-24 20:29:21 UTC (rev 20392) +++ gate/trunk/doc/papers.html 2023-05-24 20:31:21 UTC (rev 20393) @@ -102,15 +102,15 @@ <ul> <li>Yida Mu, Mali Jin, Charlie Grimshaw, Carolina Scarton, Kalina Bontcheva, and Xingyi Song. "VaxxHesitancy: A Dataset for Studying Hesitancy Towards COVID-19 Vaccination on Twitter." ICWSM (2023). <a class="cow-url" href="https://arxiv.org/abs/2301.06660">https://arxiv.org/abs/2301.06660</a></li> </ul> -<h3 class="cow-heading">Pre-print</h3> <ul> -<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. <a class="cow-url" href="https://arxiv.org/abs/2304.04811">https://arxiv.org/abs/2304.04811</a></li> +<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. <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. 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, 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> Modified: gate/trunk/doc/papers.yam =================================================================== --- gate/trunk/doc/papers.yam 2023-05-24 20:29:21 UTC (rev 20392) +++ gate/trunk/doc/papers.yam 2023-05-24 20:31:21 UTC (rev 20393) @@ -49,11 +49,11 @@ - Yida Mu, Mali Jin, Charlie Grimshaw, Carolina Scarton, Kalina Bontcheva, and Xingyi Song. "VaxxHesitancy: A Dataset for Studying Hesitancy Towards COVID-19 Vaccination on Twitter." ICWSM (2023). %(https://arxiv.org/abs/2301.06660) -%3* Pre-print +- 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, Ye Jiang, Freddy Heppell, Iknoor Singh, Carolina Scarton, Kalina Bontcheva, Xingyi Song. A Large-Scale Comparative Study of Accurate COVID-19 Information versus Misinformation. %(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) -- Yida Mu, Mali Jin, Kalina Bontcheva, Xingyi Song. Examining Temporalities on Stance Detection Towards COVID-19 Vaccination. %(https://arxiv.org/abs/2304.04806) +%3* Pre-print - 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) This was sent by the SourceForge.net collaborative development platform, the world's largest Open Source development site. |