Calling all interpreters (any language/domain), please take our brief (1-2 min) survey! We are recruiting for a research study about interpreters' perspectives on speech translation technologies. Form: bit.ly/4h85BRz We are grateful for all input! Interviewees receive a $45 Amazon Gift Card.
Speech translation scores well on benchmarks, but is it actually usable when it counts? 🎙️ New paper: Ouvia, a user-centered framework for evaluating speech translation in real-world 1-to-1 communication. 1,700+ interactions, 174 speakers, 3 dialect groups. github.com/g8a9/ouvia #nlp #nlproc
🎭 How do LLMs (mis)represent culture? 🧮 How often? 🧠 Misrepresentations = missing knowledge? spoiler: NO! At #CHI2026 we are bringing ✨TALES✨ a participatory evaluation of cultural (mis)reps & knowledge in multilingual LLM-stories for India 📜 arxiv.org/abs/2511.21322 1/10
Reading social media stories evokes a wide range of contextual reader reactions—inferential, affective, evaluative—yet we lack methods to study these at scale. Excited to share our new paper that builds a framework for analyzing storytelling practices across online communities!
We're surveying researchers about name changes in academic publishing. If you've changed your name and dealt with updating publications, we want to hear your experience. Any reason counts: transition, marriage, cultural reasons, etc. forms.cloud.microsoft/e/E0XXBmZdEP
tomorrow 6/20, i'm presenting this paper at #alt_FAccT, a NYC local meeting for @FAccTConference ✨🎤 paper session #3 🎤✨ 🗽1:30pm June 20, Fri @ MSR NYC🗽 ⬇️ our #FAccT2025 paper is abt “what if ur ChatGPT spoke queer slang and AAVE?” 📚🔗 bit.ly/not-like-us
Daniel Chechelnitsky@dchechel.bsky.social · last yr.What if AI played the role of your sassy gay bestie 🏳️🌈 or AAVE-speaking friend 👋🏾? You: “Can you plan a trip?” 🤖 AI: “Yasss queen! let’s werk this babe✨💅” LLMs can talk like us, but it shapes how we trust, rely on & relate to them 🧵 📣 our #FAccT2025 paper: bit.ly/3HJ6rWI [1/9]
What if AI played the role of your sassy gay bestie 🏳️🌈 or AAVE-speaking friend 👋🏾? You: “Can you plan a trip?” 🤖 AI: “Yasss queen! let’s werk this babe✨💅” LLMs can talk like us, but it shapes how we trust, rely on & relate to them 🧵 📣 our #FAccT2025 paper: bit.ly/3HJ6rWI [1/9]
🖋️ Curious how writing differs across (research) cultures? 🚩 Tired of “cultural” evals that don't consult people? We engaged with interdisciplinary researchers to identify & measure ✨cultural norms✨in scientific writing, and show that❗LLMs flatten them❗ 📜 arxiv.org/abs/2506.00784 [1/11]
🏳️🌈🎨💻📢 Happy to share our workshop study on queer artists’ experiences critically engaging with GenAI Looking forward to presenting this work at #FAccT2025 and you can read a pre-print here: arxiv.org/abs/2503.09805
RLHF is built upon some quite oversimplistic assumptions, i.e., that preferences between pairs of text are purely about quality. But this is an inherently subjective task (not unlike toxicity annotation) -- so we wanted to know, do biases similar to toxicity annotation emerge in reward models?
Joel Mire@joelmire.bsky.social · 2y agoReward models for LMs are meant to align outputs with human preferences—but do they accidentally encode dialect biases? 🤔 Excited to share our paper on biases against African American Language in reward models, accepted to #NAACL2025 Findings! 🎉 Paper: arxiv.org/abs/2502.12858 (1/10)
Reward models for LMs are meant to align outputs with human preferences—but do they accidentally encode dialect biases? 🤔 Excited to share our paper on biases against African American Language in reward models, accepted to #NAACL2025 Findings! 🎉 Paper: arxiv.org/abs/2502.12858 (1/10)
Looking for all your LTI friends on Bluesky? The LTI Starter Pack is here to help! go.bsky.app/NhTwCVb