🔥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

Why the adoption of question generation techniques in classrooms is so low? The popular end-to-end generation framework does not align with instructors' usage. We'll present QG research directions for education at Poster Session 1F today (in person, 10:45-12:15am). Happy to chat!

Ideology takes different forms in texts that vary by purpose. We build tools to measure ideology across genres. We're also developing a web service for public usage; suggestions are welcomed. Will be at Poster Session 9F this Wed (in person, 10:45-12:15am). Pls stop by and chat!

Can LLMs help retrieval for multi-hop QA? Super excited to share my work on Few-shot Reranking for Multi-hop QA via Language Model Prompting. Work done with Lajanugen Logeswaran Moontae Lee Lu Wang Honglak Lee 📜arxiv.org/abs/2205.12650… 🧵1/

Excited to share that our #CHI2023 paper received an 🌟Honorable Mention award "ReadingQuizMaker: A Human-NLP Collaborative System that Supports Instructors to Design High-Quality Reading Quiz Questions" w/ Xinyi Lu, Simin Fan Olivia Simin Fan, Jessica Houghton, Lu Wang Lu Wang

Parametric knowledge stored in LLM 🤖 and non-parametric knowledge retrieved from static corpora 📚 are often complementary, but they can occasionally conflict. 😕 How about getting the best of both worlds to make 1+1>2? 🚀 Check out our #EMNLP2023 paper! arxiv.org/abs/2310.14393

Annotator disagreement is common in NLP, but is it just noise? We are introducing a new strategy for annotator representation to help models better learn from data that has inherent disagreements. 🐙 Github code: github.com/MichiganNLP/An…

Can we boost chain-of-thought reasoning by guiding decoding toward correct solutions? arxiv.org/abs/2305.14934 Excited to present 🌟GRACE🌟: a guided decoding method that outperforms greedy decoding, self-consistency, and verifiers on math and symbolic reasoning. #EMNLP2023 🧵👇

News media often select content that supports their ideology, but why do they report events that favor out-group members? We introduce PAC, a dataset with PArtisan and Counter-partisan events. ⭐️Paper: arxiv.org/abs/2310.18768 ⭐️Dataset: github.com/launchnlp/Part… #EMNLP2023 🧵👇

Thrilled to announce that registration and abstract submission are open for the 17th Midwest Speech and Language Days (MSLD) symposium, which is being held at University of Michigan April 15-16. See details here ai.engin.umich.edu/news/midwest-s… 1/5

🚨Registration and abstract submission OPEN🚨 for the 17th Midwest Speech and Language Days (MSLD) symposium, happening University of Michigan, April 15-16! Co-organized by Michigan AI, @UMSI & U-M College of LSA Weinberg Institute for Cognitive Science. Details: ai.engin.umich.edu/news/midwest-s…

LLMs often exhibit poorly calibrated confidence, which undermines users' trust in their outputs. Though methods exist for short-form answers, they don't address long-form responses😕 Discover the solution in our #ICLR2024 paper! 📄 arxiv.org/abs/2310.19208 👀

What If LLMs can cite the pre-training source(s) supporting their parametric knowledge? Won't this dramatically improve verifiability and trustworthiness? We aimed to answer this during my internship Ai2 Paper: arxiv.org/abs/2404.01019 To be presented at #COLM Thread👇👇

📢 NAACL needs Reviewers & Area Chairs! 📝 If you haven't received an invite for ARR Oct 2024 & want to contribute, sign up by Oct 22nd! ➡️AC form: forms.office.com/r/8j6jXLfASt ➡️Reviewer form: forms.office.com/r/cjPNtL9gPE Please RT 🔁 and help spread the word! 🗣️ #NLProc ACLRollingReview

📝When training an LLM, we typically end up with substandard models: they perform best👍on some tasks but worse☹️on others. Should we discard🗑️these models? Well... If you Can't Use Them, Recycle Them: Optimizing Merging at Scale Mitigates Performance Tradeoffs 🧵👇 1/n

🚨 New Benchmark Drop! Can LLMs actually do ML research? Not toy problems, not Kaggle tweaks—but real, unsolved ML conference research competitions? We built MLRC-BENCH to find out. Paper: arxiv.org/abs/2504.09702 Leaderboard: huggingface.co/spaces/launch/… Code: github.com/yunx-z/MLRC-Be…

📢New benchmark out! We introduce CLASH, a benchmark of 345💥high-stakes dilemmas and 3,795 perspectives to evaluate how well LLMs handle complex value reasoning. GPT-4 and Claude? Not quite there. 📄 arxiv.org/pdf/2504.10823 🤗 huggingface.co/datasets/launc…

🚨Announcing SCALR @ COLM 2025 — Call for Papers!🚨 The 1st Workshop on Test-Time Scaling and Reasoning Models (SCALR) is coming to Conference on Language Modeling in Montreal this October! This is the first workshop dedicated to this growing research area. 🌐 scalr-workshop.github.io

🚨 Deadline for SCALR 2025 Workshop: Test‑time Scaling & Reasoning Models at COLM '25 Conference on Language Modeling is approaching!🚨 scalr-workshop.github.io 🧩 Call for short papers (4 pages, non‑archival) now open on OpenReview! Submit by June 23, 2025; notifications out July 24. Topics