📢Postdoc Position📢 Dr. Xia Hu Xia “Ben” Hu and I are looking for a Chairman's Postdoctoral Fellow in Efficient and Trustworthy LLMs Rice Computer Science If you are interested, please do not hesitate to apply: docs.google.com/document/d/1Ks…

🎉 MASC-SLL decisions are out!! We have an exciting schedule prepared with keynote talks from Anjalie Field and Yoav Artzi (PC-ing COLM) as well as posters/talks from more than 30 university and industry affiliations! 🌟 Everyone is welcome to join us on May 3rd at Johns Hopkins! Register at...

Check out our latest project that just got accepted to #ACL2024!!

BlackboxNLP, the workshop on interpretability and analysis of NLP, will be held at EMNLP 2024 in Miami, on November 15/16! 🎉 We're calling for all work that attempts to better understand the inner workings of neural models, with a submission deadline on August 15!

For more info have a look at our website! blackboxnlp.github.io

Our NAACL 24 tutorial "Explanation in the Era of Large Language Models" will be presented on June 16 morning at Don Alberto 3! The tutorial website is at explanation-llm.github.io w/ Hanjie Chen Xi Ye Chenhao Tan Ana Marasović Sarah Wiegreffe Veronica Qing Lyu

Help review more ARR submissions if you can! Otherwise, this is the reality we face.

Thanks to everyone who participated in our tutorial & asked great questions! If you missed it, the recording is now available: tinyurl.com/explanation-tu… Slides: explanation-llm.github.io

🔎 Uncover the spectrum of data contamination in our latest #ACL2024 Findings paper! Our paper dives deep into the impact, detection, and mitigation of this sneaky issue. As the subarea of faithful evals, contamination is quite complex, sneaky but also attractive. Details - 🧵

I will be at #ACL2024 to present our work RORA at In-Person Poster Session 2 (8/12, 14:00). Drop by if interested! I'd love to chat about hallucination, CogSci and LLM, interpretability, and any other NLP-related topics. Feel free to reach out and have some coffee together☕️

The submission deadline (15 aug) for BlackboxNLP is slowly approaching! We're very excited to see your approaches to open up the black box 🤩 The submission portal has now been opened on OpenReview: openreview.net/group?id=EMNLP…

Congratulations to Pengda Wang for leading this paper, in collaboration with Zilin Xiao and Hanjie Chen, and accepted at Conference on Language Modeling: Will the Real Linda Please Stand Up...to Large Language Models? Examining the Representativeness Heuristic in LLMs arxiv.org/abs/2404.01461 Thanks

🚨 Postdocs at JHU CLSP! We're interested in several topics, including: - Explainable AI/NLP for medicine - Clinical NLP - Evaluation of LLMs Apply: apply.interfolio.com/108613 Spread the word! #ACL2024NLP #ACL2024 ACL 2025

Training a large language model? Pre-train then fine-tune! But how does pre-training affect downstream fine-tuning performance? What is learned during pre-training vs. fine-tuning? Here are some results. (🧵below) arxiv.org/abs/2408.06663 #NLProc

We have extended the submission deadline to *August 19*, AoE time! Furthermore, we have also opened a commitment link for ARR-reviewed papers. This allows you to submit to BlackboxNLP directly without additional reviews: openreview.net/group?id=EMNLP…

Rice CS extends a warm welcome to new assistant professor Hanjie Chen! Dr. Chen specializes in natural language processing, interpretable machine learning, and trustworthy AI. bit.ly/3z5ak4s

Congratulations to the team!🎉

All accepted papers for BlackboxNLP 2024 can be found here: blackboxnlp.github.io/papers Congratulations to all authors on their fine work! 🎉

Rice CS has hired six new faculty members. Three began this fall, and the rest start next summer. Fall '24 hires include Hanjie Chen, Anjum Chida and Xiaoyun Fu. Rice CS PhD alumnus Jiarong Xing ('24), Chen Wei and Yuke Wang begin next year. bit.ly/3ZvJDRe

✨I am on the faculty job market for the 2024-2025 cycle!✨ I’m at COLM Conference on Language Modeling until Wednesday evening. Would love to hear about faculty openings (or general advice about being on the job market)!