Yixin Liu (@yixinliu17) 's Twitter Profile
Yixin Liu

@yixinliu17

Ph.D. Student at Yale University

ID: 1174497338934648832

calendar_today19-09-2019 01:36:09

66 Tweet

350 Followers

244 Following

Simeng (Sophia) Han (@hansineng) 's Twitter Profile Photo

We’re thrilled to welcome you to New England NLP 2025 at Yale University on April 11th in New Haven, CT 🎉 nenlp.github.io/spr2025/! Join us for a full day of exciting talks and sparkling discussions with NLP researchers across the New England region and beyond. 👉 Register now

We’re thrilled to welcome you to New England NLP 2025 at Yale University on April 11th in New Haven, CT 🎉 nenlp.github.io/spr2025/! 
Join us for a full day of exciting talks and sparkling discussions with NLP researchers across the New England region and beyond. 
👉 Register now
Mingqi Gao (@mingqi70158) 's Twitter Profile Photo

🚀Excited to share that our paper on LLM evaluation has been accepted to Findings of #NAACL2025! 🎉 Huge thanks to my amazing collaborators Yixin Liu, Jonathan Bragg, and Arman Cohan! 1⃣we discovered that the ranking of evaluation models based on instance-level human

🚀Excited to share that our paper on LLM evaluation has been accepted to Findings of #NAACL2025! 🎉 Huge thanks to my amazing collaborators <a href="/YixinLiu17/">Yixin Liu</a>, <a href="/turingmusician/">Jonathan Bragg</a>, and <a href="/armancohan/">Arman Cohan</a>!

1⃣we discovered that the ranking of evaluation models based on instance-level human
Yixin Liu (@yixinliu17) 's Twitter Profile Photo

I’ll be presenting ReIFE at #NAACL2025 Poster Session 7 this morning from 09:00 to 10:30 AM! Come by if you're interested in evaluating LLMs as judges! We're also presenting a related work on evaluating automatic LLM benchmarkers in the same session: x.com/mingqi70158/st… —

Yixin Liu (@yixinliu17) 's Twitter Profile Photo

💡Scientific problem-solving with LLMs needs both domain knowledge + reasoning capabilities. In our new paper, we introduce benchmarks & analytical toolkits to study this. Main takeaways: 1️⃣ Domain knowledge = key bottleneck 2️⃣ In-context knowledge further improves reasoning