Excited to kick off a 3-month research visit at Rycolab (ETH Zurich)! 🇨🇭
My research focuses on RL, alignment, multilingual LMs, reasoning, and RAG. If you're exploring any of these areas, feel free to reach out or say hi!
#NLP #RL #AIAlignment #Multilinguality
Jirui Qi
“Child-Directed Language Does Not Consistently Boost Syntax Learning in Language Models”
I’m happy to share that the preprint of my first PhD project is now online!
🎊 Paper: arxiv.org/abs/2505.23689
InCLow topics #EMNLP2025:
- MT error prediction techniques & its reception by professional translators (@gsarti.com)
- thinking language in Large Reasoning Models (@jiruiqi.bsky.social)
- effect of stereotypes on LLM’s implicit personalization (@veraneplenbroek.bsky.social)
....
Arianna Bisazza
Francesca Padovani
Our paper on multilingual reasoning is accepted to Findings of #EMNLP2025! 🎉 (OA: 3/3/3.5/4)
We show SOTA LMs struggle with reasoning in non-English languages; prompt-hack & post-training improve alignment but trade off accuracy.
📄 arxiv.org/abs/2505.22888
See you in Suzhou! #EMNLP
Jirui Qi
📢 New paper: Can unsupervised metrics extracted from MT models detect their translation errors reliably? Do annotators even *agree* on what constitutes an error? 🧐
We compare uncertainty- and interp-based WQE metrics across 12 directions, with some surprising findings!
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Gabriele Sarti
Recent Large Reasoning Models (LRMs) with thinking traces have shown strong performance on English reasoning tasks. However, their ability to think in other languages is less studied. This capability ...
