🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Super excited to win the Best Paper Award C3NLP #NAACL2025 with Gayathri and Rada Mihalcea! Cross-cultural AI is a research topic I deeply care about, so this recognition means a lot to me. 🥳😍✨ Leaving #NAACL2025 with a ton of motivation and energy!🤠

So honored to have won the Outstanding Paper award at C3NLP today. ❤️ Many thanks to my wonderful collaborators Aparna Garimella and Rada Mihalcea! What an amazing way to end #NAACL2025! 😊

Officially Dr. Bao🤗 #DevelopmentalAI is yet to be developed. #Objective is set to be redefined & optimized. Incredibly grateful for all the #Training and #HumanInLoop guidance and support from my mentors&friends&fam. Real World #ZeroShotGeneralization starts today 💙💛

Over the jet lag but missing #NAACL2025 and the famous gazebo - best time for highlights! 1. Rada Mihalcea 's “long tail of the world” metaphor really stuck with me: most of us are from small, often-overlooked cultures. Many papers in special track try to bridge this gap

We are extremely excited to announce mCLM, a Modular Chemical Language Model that is friendly to automatable block-based chemistry and mimics bilingual speakers by “code-switching” between functional molecular modules and natural language descriptions of the functions. 1/2

Pls R/T! 📢 Unsure about Ethics? Hoping to attend #ACL2025? How about applying for a virtual registration subsidy? All 3? We hear you!✨Tutorial: Navigating Ethical Challenges in NLP✨🗓️Sun, Jul 27, 14:00–17:30 CEST📍@ Hall M, Vienna + 🌍Online (hybrid!) ethics.aclweb.org/tutorials/ACL_…

Excited to present some of our work on “Agentic AI ecosystems: Navigating cross-cultural awareness, biases and misinformation in multi-agent LLM and human-LLM interactions” tomorrow 8am ET at MSR Africa and AI4Good seminar! 🤗🌍 More details here: microsoft.com/en-us/research…

Very proud of all of Do June’s accomplishments, all the way to his successful PhD defense this week! 🎓👏 He not only developed new NLP methods to address key challenges in counselor training, but also saw them through to real-world deployment, directly supporting counselors in

Those of you in Ann Arbor: why not do “AI & dinner” tonight? With the flurry of AI tools coming out any day, chances are that your (and your data’s) privacy are on your mind. Join us for a conversation with top experts on AI & Privacy—Profs. @RoyaEnsafi and Florian Schaub ⬇️

Really excited about our recent large collaboration work on NLP for Social Good. The work stems from our discussions at the NLP for Positive Impact Workshop (EMNLP 2024) Workshop at #EMNLP2024 EMNLP 2025. Thanks to all our awesome collaborators, workshop attendees and all supporters!

Join us at #CVPR2025 Demographic Diversity in Computer Vision workshop tomorrow! 📅 Wednesday, June 11, 9am-6pm 📍 room 213 (main session) + Hall D (poster sessions), the Music City Center We have an amazing lineup of speakers and panelists! Can't wait to meet you all there :)

I'm excited to receive the NSF CAREER award! 🎉🎉 The funding will support our ongoing work to empower blind people to DIY personal assistive technology. Thanks to my students, mentors, collaborators, and U.S. National Science Foundation for making this possible. nsf.gov/awardsearch/sh…

Excited to receive an NSF CAREER award, feeling really lucky!! This grant will support our lab's work on human-AI collaborative techniques to create intelligent tutors, and methods to help experts express expertise with simulated students.

Check out our 3 papers on Testing LLM Moral Reasoning via Multi-Agent Simulations! ✍️ Our summary blogpost: lesswrong.com/posts/2WAire3L… 📑Our series of 3 papers:1️⃣GovSim (NeurIPS 2024) arxiv.org/abs/2404.16698 2️⃣SanctSim zhijing-jin.com/files/papers/2… 3️⃣MoralSim arxiv.org/abs/2505.19212

🏛️Can we trust #LLMs to value democracy? 🎉Check our paper "Democratic or Authoritarian? Probing a New Dimension of Political Biases in LLMs". We find Llama4 has a stronger authoritarian bias, and all models show more bias in Mandarin than in English📜arxiv.org/abs/2506.12758

Excited to finally share MOMENTS!! A new human-annotated benchmark to evaluate Theory of Mind in multimodal LLMs using long-form videos with real human actors. 📽️ 2.3K+ MCQA items from 168 short films 🧠 Tests 7 different ToM abilities 🔗 arxiv.org/abs/2507.04415

New RAG-empowered tool for cancer care prep. Helps patients go from uninformed to visit-ready - by guiding knowledge, value reflection, and visit question preparation, integrated with the Ottawa Patient Decision Guide 👇 Demo arxiv.org/abs/2507.04026 #CancerCare #RAG #AI4Health

[Implicit Personalization of #LLMs] How do we answer the question "What colo(u)r is a football?" Answer 1: "Brown🏈 ". Answer 2: "Black and white⚽". We propose a #Causal framework to test if LLMs adjust its answers depending on the cultural background inferred from the question.

Excited to share our #ACL2025NLP Findings paper Rethinking Table Instruction Tuning. ⚠️ Table LLMs fail at out-of-domain tasks & lose general skills? Our fix: 🔥 Less data + smarter tuning = Better Table LLMs! We show: 🔍 Hyperparameters (e.g., learning rate) make/break