Beiduo Chen
@beiduo.bsky.social
ELLIS PhD student in NLP @MaiNLPlab, @CisLmu, @LMU_Muenchen
https://mckysse.github.io/
https://mckysse.github.io/
What an incredible EMNLP experience — truly the most fulfilling conference I’ve ever attended!
✅ Oral presentation
✅ SAC Highlights Award
✅ Panel discussion
Grateful to my amazing collaborators and to all the friends I had the chance to meet! 🌟
#EMNLP2025 #NLP
✅ Oral presentation
✅ SAC Highlights Award
✅ Panel discussion
Grateful to my amazing collaborators and to all the friends I had the chance to meet! 🌟
#EMNLP2025 #NLP
November 8, 2025 at 7:08 PM
What an incredible EMNLP experience — truly the most fulfilling conference I’ve ever attended!
✅ Oral presentation
✅ SAC Highlights Award
✅ Panel discussion
Grateful to my amazing collaborators and to all the friends I had the chance to meet! 🌟
#EMNLP2025 #NLP
✅ Oral presentation
✅ SAC Highlights Award
✅ Panel discussion
Grateful to my amazing collaborators and to all the friends I had the chance to meet! 🌟
#EMNLP2025 #NLP
Reposted by Beiduo Chen
Detailed programme now up on website. Looking forward to 14 research papers, results of the 3rd Shared Task on Learning with Disagreements (LeWiDi), a talk from @camachocollados.bsky.social, and a panel discussion feat. Jose, Eve Fleisig, and @beiduo.bsky.social. See you in Room A305 or online!
November 6, 2025 at 6:58 PM
Detailed programme now up on website. Looking forward to 14 research papers, results of the 3rd Shared Task on Learning with Disagreements (LeWiDi), a talk from @camachocollados.bsky.social, and a panel discussion feat. Jose, Eve Fleisig, and @beiduo.bsky.social. See you in Room A305 or online!
📑 Our CoT2EL paper will be presented as an oral at #EMNLP2025 in Suzhou!
Humans often disagree on labels. Can a model's own reasoning (CoT) help us understand why? We developed a new method to extract these insights. Come join us!
🗓️ Friday, Nov 7, 14:00 - 15:30
📍 Room: A110
Humans often disagree on labels. Can a model's own reasoning (CoT) help us understand why? We developed a new method to extract these insights. Come join us!
🗓️ Friday, Nov 7, 14:00 - 15:30
📍 Room: A110
October 24, 2025 at 1:36 PM
📑 Our CoT2EL paper will be presented as an oral at #EMNLP2025 in Suzhou!
Humans often disagree on labels. Can a model's own reasoning (CoT) help us understand why? We developed a new method to extract these insights. Come join us!
🗓️ Friday, Nov 7, 14:00 - 15:30
📍 Room: A110
Humans often disagree on labels. Can a model's own reasoning (CoT) help us understand why? We developed a new method to extract these insights. Come join us!
🗓️ Friday, Nov 7, 14:00 - 15:30
📍 Room: A110
🚨 Can LLMs generate explanations that are as useful as human ones for modeling label distributions in NLI?🌹"A Rose by Any Other Name" shows that they can
💬 We explore scalable, explanation-based annotation via LLMs.
📍Come find us in Vienna 🇦🇹! (July 28, 18:00-19:30, Hall 4/5) #ACL2025NLP #acl2025
💬 We explore scalable, explanation-based annotation via LLMs.
📍Come find us in Vienna 🇦🇹! (July 28, 18:00-19:30, Hall 4/5) #ACL2025NLP #acl2025
July 15, 2025 at 2:46 PM
🚨 Can LLMs generate explanations that are as useful as human ones for modeling label distributions in NLI?🌹"A Rose by Any Other Name" shows that they can
💬 We explore scalable, explanation-based annotation via LLMs.
📍Come find us in Vienna 🇦🇹! (July 28, 18:00-19:30, Hall 4/5) #ACL2025NLP #acl2025
💬 We explore scalable, explanation-based annotation via LLMs.
📍Come find us in Vienna 🇦🇹! (July 28, 18:00-19:30, Hall 4/5) #ACL2025NLP #acl2025
Reposted by Beiduo Chen
🎉MaiNLP is turning 3 today!🎂🥳 We’ve grown a lot since @barbaraplank.bsky.social started this group with nothing but three aspiring researches and a hand-drawn sign on the door. Huge thanks to all the amazing people who have joined or visited us since. Here’s to many more years of exciting research!🚀
April 1, 2025 at 10:40 AM
🎉MaiNLP is turning 3 today!🎂🥳 We’ve grown a lot since @barbaraplank.bsky.social started this group with nothing but three aspiring researches and a hand-drawn sign on the door. Huge thanks to all the amazing people who have joined or visited us since. Here’s to many more years of exciting research!🚀