Simran Khanuja

532 posts

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Simran Khanuja

Simran Khanuja

@simi_97k

NLP | PhD Student @LTIatCMU | Predoctoral Researcher @Google | Microsoft Research | BITS Pilani

Katılım Nisan 2018
1.3K Takip Edilen3.6K Takipçiler
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Simran Khanuja
Simran Khanuja@simi_97k·
Thank you so much @emnlpmeeting for this wonderful recognition! I’m so honored and humbled 💕 Thanks @gneubig for your support throughout! We’ve been working on this for 1.5 years and everyone who has spoken with me in the recent past knows how passionately I feel about this work and this task in general 🥹 Thanks again to everyone who recognized and appreciated our efforts ✨
EMNLP 2026@emnlpmeeting

#EMNLP2024 Best Paper 1/5: An image speaks a thousand words, but can everyone listen? On image transcreation for cultural relevance

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Simran Khanuja
Simran Khanuja@simi_97k·
We are running a challenge at the MAPS workshop at #CVPR2026 on Machine Translation for Vision (image transcreation task introduced in this EMNLP 2024 Best Paper 💫 -- machine-transcreation.github.io/image-transcre…). Please consider participating and reach out to maps.cvpr@gmail.com with questions if any! More details in the 🧵
MAPS - CVPR 2026 Workshop@maps_cvpr

Introducing the Machine Translation for Vision (MTV) Challenge at #CVPR2026! Can your model localize (culturally adapt) images — not just translate text, but reimagine visuals for different cultures? 🌍

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MAPS - CVPR 2026 Workshop
MAPS - CVPR 2026 Workshop@maps_cvpr·
Introducing the Machine Translation for Vision (MTV) Challenge at #CVPR2026! Can your model localize (culturally adapt) images — not just translate text, but reimagine visuals for different cultures? 🌍
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Sumanth
Sumanth@sumanthd17·
haha finally its out there, this is what we were working for the last year and now you can use them directly!! do let us know your feedback, my eyes are peeled and I will be respsonding to any and all questions you have. from all of us at sarvam to the world 🫶
Pratyush Kumar@pratykumar

📢 Open-sourcing the Sarvam 30B and 105B models! Trained from scratch with all data, model research and inference optimisation done in-house, these models punch above their weight in most global benchmarks plus excel in Indian languages. Get the weights at Hugging Face and AIKosh. Thanks to the good folks at SGLang for day 0 support, vLLM support coming soon. Links, benchmark scores, examples, and more in our blog - sarvam.ai/blogs/sarvam-3…

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Shirley Wu
Shirley Wu@ShirleyYXWu·
To the best PhD years at Stanford To all who have carried my learning and lit the way for my growth ❤️ Thank you is hardly enough
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Sara Hooker
Sara Hooker@sarahookr·
Goes without saying but we hiring for a lot of roles 🔥 Most exceptional talent has many places they can choose to work. What matters is working on complex problems alongside peers you deeply respect. We are doing something exceptional at adaption. Join us 🔥
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Simran Khanuja
Simran Khanuja@simi_97k·
It's so refreshing to see their mission and it deeply resonates with how I view the role of technology in society :) Here’s hoping they can truly help turn things around and build AI that supports us and brings us closer ❤️
humans&@humansand

Today we introduce humans&, a human-centric frontier AI lab. We believe AI can be reimagined, centering around people and their relationships with each other. At its best, AI should serve as a deeper connective tissue that strengthens organizations and communities

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Akari Asai
Akari Asai@AkariAsai·
1/ Hiring PhD students at CMU SCS (LTI/MLD) for Fall 2026 (Deadline 12/10) 🎓 I work on open, reliable LMs: augmented LMs & agents (RAG, tool use, deep research), safety (hallucinations, copyright), and AI for science, code & multilinguality & open to bold new ideas! FAQ in 🧵
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Nithish Kannen
Nithish Kannen@NithishKannen·
Nano Banana Pro planned @Roprajo's Cocktail Menu yesterday!
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Simran Khanuja
Simran Khanuja@simi_97k·
Thanks! We hope CAIRe helps researchers and developers better understand how AI systems represent cultures worldwide, and where they fall short. This work was done with some very talented researchers @arnav_y1, Siddharth Yayavaram, @m2saxon, @gneubig. Kudos especially to Siddharth and Arnav for taking the lead on implementing most things so cleanly and well! Happy to collaborate or answer questions! 🌍✨ (fin)
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Simran Khanuja
Simran Khanuja@simi_97k·
Final Contribution: New Test Set! We also introduce a new test set that follows our task definition -- multiple culture labels per image, each with its own score. Past datasets forced a single country label to an image, losing the richness of cultural relevance. The datasets can be found here: huggingface.co/datasets/cmu-l…; huggingface.co/datasets/cmu-l… (9/n)
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Simran Khanuja
Simran Khanuja@simi_97k·
Excited to share CAIRe🧡 our new framework for evaluating the cultural relevance of images! T2I systems often overrepresent majority cultures and overlook many users worldwide. CAIRe provides graded (1-5), transparent (with wiki links) relevance scores independently for each user-defined culture label (eg: upper Manhattan, downtown Manhattan), instead of forcing an image into a single country label. Paper: arxiv.org/abs/2506.09109 Code: github.com/siddharthyayav… Test Set: huggingface.co/datasets/cmu-l…; huggingface.co/datasets/cmu-l… 🧵below(1/n)
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Keşfet

@ShirleyYXWu @Roprajo @arnav_y1 @m2saxon @gneubig @elonmusk @BarackObama @taylorswift13