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Niyati Bafna

@niyatibafna.bsky.social

170 Following103 Followers

PhD student @jhuclsp. Previously @AIatMeta, @InriaParisNLP, @EM_LCT| #NLProc

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@niyatibafna.bsky.socialOct 15, 2026, 4:46 PM

Let's make NLP work for dialects! Submit to VarDial :-)

@niyatibafna.bsky.socialOct 14, 2026, 5:06 PM

Multilinguality seems to be shrinking and exploding at the same time. Here's a list of open directions I put together while project hunting. I'd love to chat about any of these at #EMNLP; come find me!
niyatibafna.github.io/blog/making_...

@kaiserwholearns.bsky.socialOct 13, 2026, 2:02 PMReposted by @niyatibafna.bsky.social

If an LLM agent notices conflicts, will it tell you?
Our #EMNLP2026 Findings paper finds that higher accuracy doesn't always mean greater epistemic humility: agents can spot conflicts early yet leave uncertainty out of wrong answers.
๐Ÿ“„ arxiv.org/abs/2610.12360 ๐Ÿงต๐Ÿ‘‡ #NLProc #LLM

@niyatibafna.bsky.socialSep 23, 2026, 1:17 PM

This would not be possible without my amazing coauthors: @nverma1.bsky.social , @zouhar.bsky.social , Philipp Koehn, and David Yarowksy, @jhuclsp.bsky.social. Working with you has been its own reward.

@niyatibafna.bsky.socialSep 23, 2026, 1:17 PM

And it's meant to be a fun read! Check it out here: arxiv.org/pdf/2608.17088

@niyatibafna.bsky.socialSep 23, 2026, 1:17 PM

Our paper pushes for stating what we want from multilinguality, for being precise in defining our famous curse, for thinking about theoretical solutions to this curse, and for questioning the gap between theory and practice.

@niyatibafna.bsky.socialSep 23, 2026, 1:17 PM

We then look the empirical curse of multilinguality for embedding space structure on small scale models for 100 languages for 8 training and evaluation configurations and find some non-cursed settings.

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@niyatibafna.bsky.socialSep 23, 2026, 1:17 PM

The above scaling is mild. We show that it is possible to fit 7000 languages in 30 extra dimensions while maintaining perfect multilinguality. Thus, we argue there is no *theoretical* curse of multilinguality for embedding space structure.

@niyatibafna.bsky.socialSep 23, 2026, 1:17 PM

Then we show that any non-degenerate space encoding L languages has a *necessary* dimensionality at least Omega(log L). This proves our theorem.

@niyatibafna.bsky.socialSep 23, 2026, 1:17 PM

We do it in two parts. First, we look at the minimum *sufficient* dimensionality of a perfect multilingual space with L languages. We show a construction with orthogonal language offsets whose minimum sufficient dimensionality is O(log L).

@niyatibafna.bsky.socialSep 23, 2026, 1:17 PM

Then we prove this theorem.

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@niyatibafna.bsky.socialSep 23, 2026, 1:17 PM

Multilinguality aims for two things: shared high-quality monolingual semantics, and cross-lingual alignment. We define these as our conditions for perfect multilinguality.

@niyatibafna.bsky.socialSep 23, 2026, 1:17 PM

First, we need to define the goal: perfect multilinguality for embedding spaces. Then, we'll see what perfect multilinguality costs in theory as we scale up language coverage. If the capacity cost is high, we have a theoretical curse. If not, no theoretical curse!

@niyatibafna.bsky.socialSep 23, 2026, 1:17 PM

We all know about the curse of multilinguality. We know that empirical performance degrades as you add languages to a model. But *in theory*, does it have to? Letโ€™s talk about the theoretical curse of multilinguality for embedding space structure.

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@niyatibafna.bsky.socialSep 4, 2026, 11:12 AM

Colourful idioms, false friends, garden paths, cultural experience, signboards, menus, dialectal slang, archaic language, minority scripts, self-referential logic, social conventions, audio dialogue, daily life - find it in Last Translation Benchmark. Join us for the next one :-)

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