Sign in

Daniel Chechelnitsky

@dchechel.bsky.social
74 followers 227 following 10 posts

PhDing @ CMU & Técnico

PostsRepliesMedia
Daniel Chechelnitsky @dchechel.bsky.social · 21/09/2026
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.
021
Reposted by Daniel Chechelnitsky
Giuseppe Attanasio @gattanasio.cc · 22/06/2026
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
1113
Reposted by Daniel Chechelnitsky
Shaily @shaily99.bsky.social · 02/02/2026
🎭 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
14722
Reposted by Daniel Chechelnitsky
Joel Mire @joelmire.bsky.social · 19/12/2025
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!
Screenshot of paper title and authors. 

Title: Social Story Frames: Contextual Reasoning about Narrative Intent and Reception
Authors: Joel Mire, Maria Antoniak, Steven R. Wilson, Zexin Ma, Achyutarama R. Ganti, Andrew Piper, Maarten Sap
1217
Reposted by Daniel Chechelnitsky
Pranav A @pranav-nlp.bsky.social · 21/10/2025
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
We're investigating how publishers handle name changes and the barriers scholars face. If you've changed your name (or are considering it) and dealt with updating your academic publications, we want to hear from you.

Researchers who have changed their name for any reason, such as gender transition, marriage, divorce, immigration, cultural reasons, or citation formatting issues. Whether you've successfully updated your work, are currently trying, or decided not to because of barriers, your opinion matters.

Your input will help us advocate for better, more inclusive policies in academic publishing. It takes around 5-10 minutes to complete.

Survey Link: https://forms.cloud.microsoft/e/E0XXBmZdEP

Please share with anyone who might benefit.
21623
Reposted by Daniel Chechelnitsky
Tao Long @taolongg.bsky.social · 20/06/2025
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
051
Daniel Chechelnitsky @dchechel.bsky.social · 17/06/2025
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]
1136
Reposted by Daniel Chechelnitsky
Shaily @shaily99.bsky.social · 10/06/2025
🖋️ 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]
An overview of the work “Research Borderlands: Analysing Writing Across Research Cultures” by Shaily Bhatt, Tal August, and Maria Antoniak. The overview describes that We  survey and interview interdisciplinary researchers (§3) to develop a framework of writing norms that vary across research cultures (§4) and operationalise them using computational metrics (§5). We then use this evaluation suite for two large-scale quantitative analyses: (a) surfacing variations in writing across 11 communities (§6); (b) evaluating the cultural competence of LLMs when adapting writing from one community to another (§7).
17130
Reposted by Daniel Chechelnitsky
Dr. Jordan Taylor @jordant.bsky.social · 14/05/2025
🏳️‍🌈🎨💻📢 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
Academic paper titled un-straightening generative ai: how queer artists surface and challenge the normativity of generative ai models

The piece is written by Jordan Taylor, Joel Mire, Franchesca Spektor, Alicia DeVrio, Maarten Sap, Haiyi Zhu, and Sarah Fox.

As an image titled 24 attempts at intimacy showing 24 ai generated images with the word intimacy, none of which seems to include same gender couples
2274
Reposted by Daniel Chechelnitsky
Maarten Sap @maartensap.bsky.social · 06/03/2025
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?
1243
Reposted by Daniel Chechelnitsky
Joel Mire @joelmire.bsky.social · 06/03/2025
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)
Screenshot of Arxiv paper title, "Rejected Dialects: Biases Against African American Language in Reward Models," and author list: Joel Mire, Zubin Trivadi Aysola, Daniel Chechelnitsky, Nicholas Deas, Chrysoula Zerva, and Maarten Sap.
13811
Reposted by Daniel Chechelnitsky
Language Technologies Institute | CMU @ltiatcmu.bsky.social · 20/11/2024
Looking for all your LTI friends on Bluesky? The LTI Starter Pack is here to help! go.bsky.app/NhTwCVb
6159