Anthropic Subhash Kantamneni Josh Engels Neel Nanda Zhengxuan Wu Aryaman Arora Danielle Bitterman, MD Jack Gallifant Kuleen Sasse Tom Hartvigsen Google AI Google DeepMind Zidi Xiong arxiv: arxiv.org/abs/2502.11367 code: github.com/shan23chen/MOS…

Accept as main paper at EMNLP25! Also going to present this friday at NEMI! See you then!

Unboxing the future of rail. See you soon! 🚄

Our work on readability evaluation for Plain Language Summarization will appear at #EMNLP2025!! Daniel Khashabi 🕊️ Mark Dredze Paper: arxiv.org/pdf/2508.19221 TLDR: Traditional readability metrics correlate poorly with human judgements & LMs consider deeper readability features. 1/6

I'm shocked at how poorly this is advertised, so here's a PSA: NSF has a GRFP-like program specifically for computing disciplines called CISE. The program provides the same 3 years of PhD funding PLUS a year-long mentorship program for the application cycle.

I will be admitting a select few highly motivated PhD students to join the CausalML Lab JHU Computer Science in Fall 2026. If you are interested in causal inference, generative models, and ML, apply to the JHU CS PhD program and list me as a potential advisor.

I’ll be looking for 1-2 PhD students for Fall 2026 to join me at JHU Computer Science Johns Hopkins Data Science and AI Institute. If you are interested in HCI, Human-centered privacy and security, and AI, please apply! I’ll also attend #uist2026, #ccs26, and #cscw2026 in the next few weeks. Grab me if you see me!

Using debate among AI agents has been proposed as a promising strategy for improving AI reasoning capabilities. Our new research shows that this strategy can often have the opposite effect - and the implications for AI deployment are significant. (1/10) arxiv.org/abs/2509.05396

📢I'm recruiting a postdoc at Rice University! Looking for someone with a PhD in CS (or a related field) and expertise in LLMs and Trustworthy & Responsible AI. I'll be at #COLM2025 from 10/8-10/10. Happy to chat in person! Feel free to email or DM me if you're interested.😀

I’m recruiting PhD students for 2026! If you are interested in robustness, training dynamics, interpretability for scientific understanding, or the science of LLM analysis you should apply. BU is building a huge LLM analysis/interp group and you’ll be joining at the ground floor.

💊 Not a very good news for Medical LLMs. A new Mass General Brigham study shows leading LLMs often try to please the user in medical chats, and to do that, can output wrong advice. Paper shows that default models will confidently echo bad medical assumptions, and that a small

Considering a PhD in NLP/Speech? 🤔 Need guidance with your application materials? JHU CLSP is offering a student-run application mentoring program for prospective applicants from underrepresented backgrounds. 📝 Learn more & apply: forms.gle/PMWByc6J3vD25Z… 📅 Deadline: Nov 20

1/6🤖🩺 Medical answers are context-dependent, hypothetical, and subjective (If pain gets worse, see a doctor). Existing systems break here: they generate invalid claims or omit these sentences. MedScore solves this with context-aware claims and verifies against trusted sources.

Happy to be a part of this cohort! Apply to the JHU CS PhD program to work together. engineering.jhu.edu/admissions/gra…

🎃 We had an extra-fun seminar yesterday—with a touch of Halloween spirit! 👾 Thanks to Tomer Wolfson for joining us!

It is so much fun in Suzhou! #EMNLP2025 JHU CLSP JHU Computer Science @EMNLP

Our panel moderated by Dana Arad 🛫 EMNLP25 "Evaluating Interpretability Methods: Challenges and Future Directions" just started! Come to hear the takes of Michael Hanna @ EMNLP Michal Golovanevsky Nicolò Brunello Mingyang Wang!

Multiple Ph.D. Opportunities at Purdue University in the SCALE Robotics Lab (Fall 2026)🇺🇸 cs.purdue.edu/graduate/admis… I am excited to share that my lab in the Department of Computer Science at Purdue University will be recruiting multiple Ph.D. students for the Fall 2026 semester. We

💡Ideas that change the world often get bad reviews, don't let it ruin your day ☀️