Angana Borah
@AnganaBorah2
2nd year Ph.D. @UMichCSE 〽️ advised by @radamihalcea. LLMs, Agents, Culture, Bias& Misinfo | Intern @AmazonAlexa. Prev @GeorgiaTech, @UTAustin, @DFKI, @LstSaar
Do LLMs exhibit belief-based biases like humans do? We examine the presence of belief congruence in multi-agent systems and find that LLMs exhibit even stronger belief congruence than humans. Paper: arxiv.org/pdf/2503.02016 Code: github.com/MichiganNLP/Be… 🧵(1/n)

🎙️ Michigan AI Director Prof. @radamihalcea highlights the transformative role that @UMich is playing in #AI — from groundbreaking research to real-world applications. At Michigan AI, we’re not just advancing AI — we’re shaping its future. youtube.com/shorts/X5rw2-I…
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…
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
🏛️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 introduce ManyICLBench (ACL 2025) 🧐 Do many-shot ICL tasks evaluate LCLMs' ability to retrieve the most similar examples or learn from many examples? We carefully analyzed numerous tasks and categorized them. 📄 Paper: arxiv.org/abs/2411.07130 #ACL2025
🔍LLMs now give medical diagnoses, legal advice, and even tackle scientific problems. ❓Your LLM sounds smart. But what if it’s just good at faking expertise? 🚀We built ExpertLongBench to find out. 📉And the results? They revealed several concerns.👇 🔗 huggingface.co/spaces/launch/…
Really excited about our recent large collaboration work on NLP for Social Good. The work stems from our discussions at the @NLP4PosImpact Workshop at #EMNLP2024 @emnlpmeeting. Thanks to all our awesome collaborators, workshop attendees and all supporters!
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 ⬇️
THIS EVENING join us for Friday Night AI! "Rethinking Privacy in the Age of AI: Who’s Watching, Who’s Protecting" - Q&A panel on surveillance, consent & digital freedom. 📍JUNE 6 | 6:30pm @aadl downtown 🎙️Profs. Florian Schaub, @royaensafi, @radamihalcea eecs.engin.umich.edu/event/friday-n…
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…
🎙️WEDNESDAY at #AAMAS2025, don't miss Prof. @radamihalcea's keynote, focused on exploring the evolving relationship between #AI agents and human behavior @AAMASconf aamas2025.org/index.php/conf…
Check out the BRIGHTER dataset -- Human-Annotated Textual Emotion Recognition for 28 Languages. I hope to see all the amazing collaborators in Vienna #ACL2025
5/6 papers rejected from #ACL2025 I want to express my gratitude to all my colleagues for their hard work on these submissions. The paper accepted presents BRIGHTER, a collection of emotion recognition datasets in 28 languages. Preprint: arxiv.org/abs/2502.11926