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Raphaël Merx @rapha.dev · 14/03/2026

cool analogy for AI & jobs: - when ATMs came, the number of bank tellers rose, bc ATMs lowered the cost of running bank branches, so more branches opened - but in the 2010s, the number of bank tellers plummetted, bc mobile banking made branches unnecessary

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Raphaël Merx @rapha.dev · 14/03/2026

a *great* chart to teach confounding variables

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Raphaël Merx @rapha.dev · 30/10/2025

This is some legit really impressive work!!

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Reposted by Raphaël Merx

Multilingual Representation Workshop @ EMNLP 2026 @mrl-workshop.bsky.social · 29/10/2025

Introducing Global PIQA, a new multilingual benchmark for 100+ languages. This benchmark is the outcome of this year’s MRL shared task, in collaboration with 300+ researchers from 65 countries. This dataset evaluates physical commonsense reasoning in culturally relevant contexts.

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Raphaël Merx @rapha.dev · 18/10/2025

Whoa the #WMT25 results on MT Evaluation are wild! ChrF outperforms pretty much all neural metrics 🙀

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Raphaël Merx @rapha.dev · 27/07/2025

in Vienna for ACL, presenting Tulun, a system for low-resource in-domain translation, using LLMs Tuesday @ 4pm Working w 2 real use cases: medical translation into Tetun 🇹🇱 & disaster relief speech translation in Bislama 🇻🇺

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Raphaël Merx @rapha.dev · 08/06/2025

Cool paper, at the intersection of grammar and LLM interpretability. I like that they use linguistic datasets for their experiments, then get results that can contribute to linguistics as a field too! (on structural priming vs L1/L2)

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Raphaël Merx @rapha.dev · 25/05/2025

Our paper on who uses tetun.org, and what for, got published at the LoResMT 2025 workshop! An emotional paper for me, going back to the project that got me into a machine learning PhD in the first place.

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Raphaël Merx @rapha.dev · 08/05/2025

My favourite ICLR paper so far. Methodology, findings and their implications are all very cool. In particular Fig. 2 + this discussion point:

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Raphaël Merx @rapha.dev · 02/05/2025

Incredible paper, finding that large companies can game the LMArena through statistical noise (via many model submissions), over-sampling of their models, and overfitting to Arena-style prompts (without real gains on model reasoning) The experiments they run to show this are pretty cool too!

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Raphaël Merx @rapha.dev · 23/04/2025

Cool summary of issues with multilingual LLM eval, and potential solutions! If you're doubtful of all these non-reproducible evals on translated multiple choice questions, this paper is for you

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Reposted by Raphaël Merx

PyCon AU @pyconau.bsky.social · 30/03/2025

👋 Hey Bluesky! We’ve just touched down and we’re excited to be here 🌤️🐍 This is the official PyCon AU account, your go-to space for updates, announcements, and all things Python in Australia✨ Hit that follow button and stay tuned because we’ve got some awesome things coming your way! #PyConAU

PyConAU We are on BlueSky! Follow us and stay tuned! @pyconau.bsky.social

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Reposted by Raphaël Merx

iseeaswell.bsky.social @iseeaswell.bsky.social · 19/02/2025

😼SMOL DATA ALERT! 😼Anouncing SMOL, a professionally-translated dataset for 115 very low-resource languages! Paper: arxiv.org/pdf/2502.12301 Huggingface: huggingface.co/datasets/goo...

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Reposted by Raphaël Merx

Kris 🎃 Lorischild @direkris.itch.io · 15/01/2025

Been hearing a lot about recency bias lately. Must be pretty important

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Raphaël Merx @rapha.dev · 05/12/2024

Our paper on generating bilingual example sentences with LLMs got best paper award @ ALTA in Canberra! arxiv.org/abs/2410.03182 We work with French / Indonesian / Tetun, find that annotators don't agree about what's a "good example", but that LLMs can align with a specific annotator.

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Reposted by Raphaël Merx

Irene Chen @irenetrampoline.bsky.social · 15/11/2024

What do it mean to be a “low resourced” language? I’ve seen definitions for less training data to low number of speakers. Great to see this important clarifying work at #EMNLP2024 from @hellinanigatu.bsky.social et al aclanthology.org/2024.emnlp-m...

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Raphaël Merx @rapha.dev · 20/11/2024

this guy lives rent free in my hippocampus

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Raphaël Merx @rapha.dev · 20/11/2024

Is productionisation (and move to gimmicks like CoT in o1-preview) at OpenAI and Anthropic a sign that scaling laws are slowing? And if so, where are we headed in LLMs? Slightly pretentious but enjoyable read: www.generalist.com/briefing/the...

generalist.com

The Bitter Religion: AI’s Holy War Over Scaling Laws | The Generalist

The AI community is locked in a doctrinal battle about its future and whether sufficient scale will create God.

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