omer goldman

PhD student doing NLP at @biunlp. If I'm not here I'm at @omagolda following the news

[omer goldman @omerNLP]

Wanna check how well a model can share knowledge between languages? Of course you do! 🤩

But can you do it without access to the model’s weights? Now you can with ECLeKTic 🤯

[SIGTYP @sig_typ]

📢#SIGTYP2026 has AMAZING Keynote talks:
🔥Jennifer Culbertson: Language Universals in Individual Minds: Experimental Tests of Linguistic Hypotheses
🔥Terry Regier: Boas, Shannon, and the Origin of Semantic Categories
Join us at #EACL2026: https://t.co/arAKEcXABq

#EACL #NLPRoc

[Eduardo Sánchez @eduardosg_ai]

Four years ago, NLLB set a milestone with MT for 200 languages. Today we present OMT: a family of models that extend support to 1600 languages while delivering competitive results in high/mid-resource language, with our 1B-8B models matching frontier and open 70B LLMs.

🧵(1/n)

[omer goldman @omerNLP]

and apropos eacl, come join the tokenization BoF

https://t.co/L939rwqMJM

[İlker Kesen @ilker_kesen]

📢I'm organizing a BoF session at #EACL2026 called Tokenization & Beyond, aiming to gather researchers exploring tokenization and alternatives such as byte-level and pixel-based approaches. Sign up using the form if you're interested! #NLProc @eaclmeeting

[omer goldman @omerNLP]

already in morocco for some pre-@eaclmeeting travels

[Mosh Levy @mosh_levy]

New paper:
We are often told that reasoning tokens aren't faithful explanations. But to have a useful metaphor for their operation we need a characterization of what they are, not what they are not.
To that end, we suggest "State over Tokens" (SoT) 👇🧵

[omer goldman @omerNLP]

wanna work with Leonie in Leipzig? you definitely should!

[Leonie Weissweiler @LAWeissweiler]

🧑‍🔬I’m recruiting PhD students in Natural Language Processing @UniLeipzig Computer Science, together with @Sca_DS!

Topics include, but aren’t limited to:

🔎Linguistic Interpretability
🌍Multilingual Evaluation
📖Computational Typology

Please share!

#NLProc #NLP

[Mosh Levy @mosh_levy]

Producing reasoning texts boosts the capabilities of AI models, but do we humans correctly understand these texts? Our latest research suggests that we do not.
This highlights a new angle on the "Are they transparent?" debate: they might be, but we misinterpret them. 🧵

[omer goldman @omerNLP]

@rtsarfaty It was fun :D

[omer goldman @omerNLP]

Are you still around Vienna? Come hear about a new morphological task at CoNLL at ~11:20 (hall M.1)
@rtsarfaty

[CoNLL 2026 @conll_conf]

First contributed talks are under way for Phonology, Morphology, and Syntax! Hall M1 Level 1.

Schedule here: https://t.co/c3BDfhP605

#ACL2025NLP #CoNLL2025

[Aviya Maimon @AviyaMaimon]

🚨 New paper alert! 🚨
We propose an IQ Test for LLMs — a new way to evaluate models that goes beyond benchmarks and uncovers their core skills.

Think: 🧠🤖 psychometrics for LLMs.
👇
(1/6)

[omer goldman @omerNLP]

whlie you drink you coffee at 10am, stop by the google booth to talk about cross-lingual transfer 🤓

https://t.co/KQsRC86ey1

[omer goldman @omerNLP]

Wanna check how well a model can share knowledge between languages? Of course you do! 🤩

But can you do it without access to the model’s weights? Now you can with ECLeKTic 🤯

[omer goldman @omerNLP]

Will be especially happy to talk to UK-based people as I'm moving in a couple of months to @CambridgeLTL

[omer goldman @omerNLP]

On my way to #ACL2025 ! 🤗
Find me talking about crosslingual transfer at the Google booth, morphology - at @conll_conf , and tokenization - just at the coffee breaks

[omer goldman @omerNLP]

@LChoshen @OfirPress there's at least one sense in which it's trivially true.

but proving one of the other senses could be big and interesting

[Arie Cattan @ArieCattan]

🚨 RAG is a popular approach but what happens when the retrieved sources provide conflicting information?🤔

We're excited to introduce our paper:
“DRAGged into CONFLICTS: Detecting and Addressing Conflicting Sources in Search-Augmented LLMs”🚀

A thread 🧵👇

[Charles Goddard @chargoddard]

🤯 MIND-BLOWN! A new paper just SHATTERED everything we thought we knew about AI reasoning!

This is paradigm-shifting. A MUST-READ. Full breakdown below 👇
🧵 1/23

[Amir Kargaran @amir_nlp]

I really wanted to see the review details. It's clearly above the acceptance threshold of findings for me. When you fall into the cycle of rejection from ARR, it's hard to come out.

[AK @_akhaliq]

RefVNLI

Towards Scalable Evaluation of Subject-driven Text-to-image Generation