9️⃣ 𝘓𝘦𝘢𝘬𝘺 𝘛𝘩𝘰𝘶𝘨𝘩𝘵𝘴: 𝘓𝘢𝘳𝘨𝘦 𝘙𝘦𝘢𝘴𝘰𝘯𝘪𝘯𝘨 𝘔𝘰𝘥𝘦𝘭𝘴 𝘈𝘳𝘦 𝘕𝘰𝘵 𝘗𝘳𝘪𝘷𝘢𝘵𝘦 𝘛𝘩𝘪𝘯𝘬𝘦𝘳𝘴
Tommaso Green, Martin Gubri, Haritz Puerto, Sangdoo Yun, Seong Joon Oh
🔟 𝘐𝘥𝘦𝘯𝘵𝘪𝘧𝘺𝘪𝘯𝘨 𝘈𝘴𝘱𝘦𝘤𝘵𝘴 𝘪𝘯 𝘗𝘦𝘦𝘳 𝘙𝘦𝘷𝘪𝘦𝘸𝘴
Sheng Lu, Ilia Kuznetsov, Iryna Gurevych
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1️⃣ 𝘛𝘰𝘸𝘢𝘳𝘥𝘴 𝘈𝘶𝘵𝘰𝘮𝘢𝘵𝘦𝘥 𝘌𝘳𝘳𝘰𝘳 𝘋𝘪𝘴𝘤𝘰𝘷𝘦𝘳𝘺: 𝘈 𝘚𝘵𝘶𝘥𝘺 𝘪𝘯 𝘊𝘰𝘯𝘷𝘦𝘳𝘴𝘢𝘵𝘪𝘰𝘯𝘢𝘭 𝘈𝘐
Dominic Petrak, Thy Thy Tran, Iryna Gurevych
2️⃣ 𝘔𝘢𝘵𝘩𝘛𝘶𝘵𝘰𝘳𝘉𝘦𝘯𝘤𝘩: 𝘈 𝘉𝘦𝘯𝘤𝘩𝘮𝘢𝘳𝘬 𝘧𝘰𝘳 𝘔𝘦𝘢𝘴𝘶𝘳𝘪𝘯𝘨 𝘖𝘱𝘦𝘯-𝘦𝘯𝘥𝘦𝘥 𝘗𝘦𝘥𝘢𝘨𝘰𝘨𝘪𝘤𝘢𝘭 𝘊𝘢𝘱𝘢𝘣𝘪𝘭𝘪𝘵𝘪𝘦𝘴 𝘰𝘧 𝘓𝘓𝘔 𝘛𝘶𝘵𝘰𝘳𝘴
Jakub Macina, Nico Daheim, Ido Hakimi, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan
3️⃣ 𝘗𝘳𝘦𝘦𝘮𝘱𝘵𝘪𝘷𝘦 𝘋𝘦𝘵𝘦𝘤𝘵𝘪𝘰𝘯 𝘢𝘯𝘥 𝘊𝘰𝘳𝘳𝘦𝘤𝘵𝘪𝘰𝘯 𝘰𝘧 𝘔𝘪𝘴𝘢𝘭𝘪𝘨𝘯𝘦𝘥 𝘈𝘤𝘵𝘪𝘰𝘯𝘴 𝘪𝘯 𝘓𝘓𝘔 𝘈𝘨𝘦𝘯𝘵𝘴
Haishuo Fang, Xiaodan Zhu, Iryna Gurevych
4️⃣ 𝘍𝘳𝘰𝘮 𝘗𝘳𝘰𝘣𝘭𝘦𝘮-𝘚𝘰𝘭𝘷𝘪𝘯𝘨 𝘵𝘰 𝘛𝘦𝘢𝘤𝘩𝘪𝘯𝘨 𝘗𝘳𝘰𝘣𝘭𝘦𝘮-𝘚𝘰𝘭𝘷𝘪𝘯𝘨: 𝘈𝘭𝘪𝘨𝘯𝘪𝘯𝘨 𝘓𝘓𝘔𝘴 𝘸𝘪𝘵𝘩 𝘗𝘦𝘥𝘢𝘨𝘰𝘨𝘺 𝘶𝘴𝘪𝘯𝘨 𝘙𝘦𝘪𝘯𝘧𝘰𝘳𝘤𝘦𝘮𝘦𝘯𝘵 𝘓𝘦𝘢𝘳𝘯𝘪𝘯𝘨
David Dinucu-Jianu, Jakub Macina, Nico Daheim, Ido Hakimi, Iryna Gurevych, Mrinmaya Sachan
5️⃣ 𝘍𝘳𝘰𝘮 𝘚𝘶𝘳𝘷𝘦𝘺𝘴 𝘵𝘰 𝘕𝘢𝘳𝘳𝘢𝘵𝘪𝘷𝘦𝘴: 𝘙𝘦𝘵𝘩𝘪𝘯𝘬𝘪𝘯𝘨 𝘊𝘶𝘭𝘵𝘶𝘳𝘢𝘭 𝘝𝘢𝘭𝘶𝘦 𝘈𝘥𝘢𝘱𝘵𝘢𝘵𝘪𝘰𝘯 𝘪𝘯 𝘓𝘓𝘔𝘴
Muhammad Farid Adilazuarda, Chen Cecilia Liu, Iryna Gurevych, Alham Fikri Aji
6️⃣ 𝘛𝘩𝘦 𝘎𝘰𝘰𝘥, 𝘵𝘩𝘦 𝘉𝘢𝘥 𝘢𝘯𝘥 𝘵𝘩𝘦 𝘊𝘰𝘯𝘴𝘵𝘳𝘶𝘤𝘵𝘪𝘷𝘦: 𝘈𝘶𝘵𝘰𝘮𝘢𝘵𝘪𝘤𝘢𝘭𝘭𝘺 𝘔𝘦𝘢𝘴𝘶𝘳𝘪𝘯𝘨 𝘗𝘦𝘦𝘳 𝘙𝘦𝘷𝘪𝘦𝘸'𝘴 𝘜𝘵𝘪𝘭𝘪𝘵𝘺 𝘧𝘰𝘳 𝘈𝘶𝘵𝘩𝘰𝘳𝘴
Abdelrahman "Boda" Sadallah, Tim Baumgärtner, Iryna Gurevych, Ted Briscoe
7️⃣ $\𝘵𝘦𝘹𝘵𝘵𝘵{𝘋𝘳𝘰𝘪𝘥}$: 𝘈 𝘙𝘦𝘴𝘰𝘶𝘳𝘤𝘦 𝘚𝘶𝘪𝘵𝘦 𝘧𝘰𝘳 𝘈𝘐-𝘎𝘦𝘯𝘦𝘳𝘢𝘵𝘦𝘥 𝘊𝘰𝘥𝘦 𝘋𝘦𝘵𝘦𝘤𝘵𝘪𝘰𝘯
Daniil Orel, Indraneil Paul, Iryna Gurevych, Preslav Nakov
8️⃣ 𝘛𝘶𝘳𝘯𝘪𝘯𝘨 𝘓𝘰𝘨𝘪𝘤 𝘈𝘨𝘢𝘪𝘯𝘴𝘵 𝘐𝘵𝘴𝘦𝘭𝘧: 𝘗𝘳𝘰𝘣𝘪𝘯𝘨 𝘔𝘰𝘥𝘦𝘭 𝘋𝘦𝘧𝘦𝘯𝘴𝘦𝘴 𝘛𝘩𝘳𝘰𝘶𝘨𝘩 𝘊𝘰𝘯𝘵𝘳𝘢𝘴𝘵𝘪𝘷𝘦 𝘘𝘶𝘦𝘴𝘵𝘪𝘰𝘯𝘴
Rachneet Sachdeva, Rima Hazra, Iryna Gurevych
9️⃣ 𝘓𝘦𝘢𝘬𝘺 𝘛𝘩𝘰𝘶𝘨𝘩𝘵𝘴: 𝘓𝘢𝘳𝘨𝘦 𝘙𝘦𝘢𝘴𝘰𝘯𝘪𝘯𝘨 𝘔𝘰𝘥𝘦𝘭𝘴 𝘈𝘳𝘦 𝘕𝘰𝘵 𝘗𝘳𝘪𝘷𝘢𝘵𝘦 𝘛𝘩𝘪𝘯𝘬𝘦𝘳𝘴
Tommaso Green, Martin Gubri, Haritz Puerto, Sangdoo Yun, Seong Joon Oh
🔟 𝘐𝘥𝘦𝘯𝘵𝘪𝘧𝘺𝘪𝘯𝘨 𝘈𝘴𝘱𝘦𝘤𝘵𝘴 𝘪𝘯 𝘗𝘦𝘦𝘳 𝘙𝘦𝘷𝘪𝘦𝘸𝘴
Sheng Lu, Ilia Kuznetsov, Iryna Gurevych
👏 Congratulations to all authors and collaborators for their excellent work! We are looking forward to presenting these results at EMNLP 2025 in #Suzhou this November.
Stay tuned for more details!
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