Genta Winata

AI Researcher @CapitalOne AIF. Ex @TechAtBloomberg @BigScienceW @SFResearch @hkust. Working on multilingual and LLM #NLProc. Building @GrassrootsSci

[Genta Winata @gentaiscool]

⭐️We're thrilled to share that our paper WorldCuisines has been selected for the Best Theme Paper Award at NAACL 2025 @naaclmeeting! 🎉 A huge thank you to the reviewers and area chair for this incredible recognition — we’re truly honored.

Massive gratitude to all our amazing co-authors for the countless hours, late nights, and deep discussions that went into creating this high-quality dataset.

https://t.co/cxG0dDHDf2

We can't wait to present next week at NAACL! Catch us at our poster session (Wednesday, April 30) and Best Paper Award Session (Friday, May 2) for our oral presentation.

Check out the paper and project here:
🌐 https://t.co/wIXukNjBKk

Contributors:
@fredyhudi, @patrickamadeus_, @davidanugraha, @rifkiaputri, @zzeet, @ubaidalih, @auliaadilaa, @adamnohejl, @JunhoMyung00211, @aliceoh, @AnarSnowball, @faridlazuarda, @jcblaisecruz, @nedjmaou, @jodieyzhou, @AboladeDaud, @prajdabre1, @holylovenia, @SCahyawijaya, @bryanwilie92, @mrpeerat, @farizikhwantri, @gkuwanto, @llamagrp, @mv_zhukova, @EmmanueleChers1, @AlhamFikri, @davlanade, @tarowatanabe, @OptionsGod_lgd,@AyuP_AI, and many others who are not on X.

Acknowledgments:
@nayeon7lee, @Wenliang_Dai, @pascalefung
who helped and provided us insightful suggestions.

#nlproc #naacl2025 #worldcuisines

[Elias Stengel-Eskin @EliasEskin]

🚨 Excited to announce that RGD has been accepted to #ACL2026 Main!

Routing with Generated Data (RGD) is a new LLM routing paradigm where routers estimate skills of models using generated data, without ground-truth labels.

We further introduce CASCAL, a new router for RGD that discovers niche skills via consensus voting + hierarchical clustering, with no ground truth needed.

🧵👇

[Alham Fikri Aji @AlhamFikri]

VLMs can easily get distracted by unrelated cultural cues. Happy to present our work on this soon at #CVPR2026🥳

Working on multilingual VLMs? Consider using our benchmark:

📜https://t.co/UfXwf9DepP
🤗https://t.co/8J9L8zrjZ5

Amazing work by @patrickamadeus_ and colleagues!

[Genta Winata @gentaiscool]

Happy to have my first Nature paper. Thank you @CAIS for the collaboration https://t.co/OGDsDfoQ5x

[Center for AI Safety @CAIS]

Last week, Humanity’s Last Exam was published in @Nature.

In just over a year, model scores on HLE have risen from under 5% to nearly 40%.

Thank you to @scale_AI and the 1000+ HLE co-authors for helping policymakers and the public track these rapid advances in AI capabilities.

[Center for AI Safety @CAIS]

Last week, Humanity’s Last Exam was published in @Nature.

In just over a year, model scores on HLE have risen from under 5% to nearly 40%.

Thank you to @scale_AI and the 1000+ HLE co-authors for helping policymakers and the public track these rapid advances in AI capabilities.

[Elias Stengel-Eskin @EliasEskin]

📢 Introducing Routing with Generated Data (RGD), a new setting for annotation-free LLM routing. We study how routers can be trained without any ground-truth labels. We also introduce CASCAL, a novel label-free LLM router that identifies niche skills using consensus-voting and hierarchical clustering.

➡️ Most LLM routers assume access to labeled, in-domain data to estimate model skills (query-answer routers). However, user distributions are unknown and labels are expensive or unavailable, highlighting the need for routers that work without labels.

➡️ We introduce Routing with Generated Data (RGD): routers are trained only on Q&A data generated from task descriptions, without human annotation. We experiment with various LLM generators of different strengths (Gemini-2.5-Flash, Qwen-3-32B, Exaone-3.5-7.8B).

➡️ CASCAL outperforms other query-answer and query-only routers across diverse datasets (MMLU-Pro, SuperGPQA, MedMCQA, BigBench Extra Hard), and is more robust to weaker generators.

[Genta Winata @gentaiscool]

@quarbby Me too

[Genta Winata @gentaiscool]

@haryoaw Happened to me as well in neurips. They got poster, we got nothing

[Genta Winata @gentaiscool]

@haryoaw Try kfc and mcd in India. I heard it is good

[Genta Winata @gentaiscool]

@prajdabre @osanseviero We need IndicGPT @prajdabre

[Genta Winata @gentaiscool]

@IkhlasulHanif0 @WenhuChen 10k is all my citations till 2025 lol

[Genta Winata @gentaiscool]

@WenhuChen GOAT!!!

[Genta Winata @gentaiscool]

💡Have you ever wondered whether vision–language models can be easily tricked by adding landmarks or flags to an image?

In the spirit of the holidays🎄, we show that VLMs can indeed be easily confused like "Confused Tourists" ✈️: their performance drops significantly when such image perturbations are applied.

🔎 Check out "VLMs are Confused Tourists" ✈️ here https://t.co/tANZQvjlXF

#vision #nlproc #robustness

[pat ✈️ CVPR @patrickamadeus_]

Craving holiday-themed paper? Say less🎄

Turns out, Vision Language Models are Confused Tourists ✈️😵‍💫

We show that adversarially induced cultural scenes significantly impair VLM cultural comprehension and trigger potential bias

#NLProc #multimodal #robustness
/thread 🧵(1/8)

[Genta Winata @gentaiscool]

@IkhlasulHanif0 x = San Diego (ACL)
y = South Korea (ICML) 😀

[Genta Winata @gentaiscool]

@IkhlasulHanif0 @patrickamadeus_ spend some real money

[pat ✈️ CVPR @patrickamadeus_]

Craving holiday-themed paper? Say less🎄

Turns out, Vision Language Models are Confused Tourists ✈️😵‍💫

We show that adversarially induced cultural scenes significantly impair VLM cultural comprehension and trigger potential bias

#NLProc #multimodal #robustness
/thread 🧵(1/8)

[Genta Winata @gentaiscool]

@cneuralnetwork Sadly not joining aacl in person

[Genta Winata @gentaiscool]

@IkhlasulHanif0 @UKPLab Winter is coming