Iñigo Alonso (@alonsonlp) header
Iñigo Alonso (@alonsonlp) profile picture

Postdoc Research Associate at @EdinburghNLP | Previously @Hitz_zentroa | NLP | Multimodality | Document Understanding

Edinburgh, Scotland
Joined October 2023
Photo by Iñigo Alonso (@alonsonlp)Photo by Iñigo Alonso (@alonsonlp)Photo by Iñigo Alonso (@alonsonlp)Photo by Iñigo Alonso (@alonsonlp)Photo by Iñigo Alonso (@alonsonlp)Photo by Iñigo Alonso (@alonsonlp)Photo by Iñigo Alonso (@alonsonlp)
Improving at long-context tasks is hard, can we just train with short context versions instead? Our ACL paper gives a recipe to distill from these proxy tasks to long-context capabilities! I'll be presenting our oral: ⏰ 2pm Sunday 📍Promenade Come to learn about ProxyCoT! 🧵
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I’ll be presenting TABLET at #ICLR2026 this week! Our 4 million example Visual Table Understanding dataset with original table visualisations! Come and say hi! :D We’ll have actual Scottish tablets 👀 See you all on Friday at 7:15 PM Pavilion 4 P4-#3606 alonsoapp.me/tablet/
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Reasoning models are powerful, but they burn thousands of tokens on potentially wrong interpretations for ambiguous requests! 👉 We teach models to think about intent first and provide all interpretations and answers in a single response via RL with dual reward. 🧵1/6
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Atzo eta gaur euskarazko ereduen artean onena aukeratzen utzi diegu #IEB2024|ko parte hartzaileei. Mila esker deneri!! Sistema komertzialez gain HiTZ garatzen ari den Latxa 🐑berri txikiena ere probatu dugu, 8B tamainakoa. Llama 3.1-en oinarritzen da. Eta irabazlea… 🥁
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Iñigo Alonso retweeted
New paper: "What's New in My Data? Novelty Exploration via Contrastive Generation," w/ @iatitov at @EdinburghNLP arxiv.org/abs/2410.14765 With no access to the data, but only access to the pre-trained and fine-tuned model, we can reveal novel aspects of the fine-tuning dataset.
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WE ARE HIRING!! The HiTZ Center (hitz.eus) at the University of the Basque Country (UPV/EHU) invites applications for several funded research engineering and pre/postdoctoral positions in Natural Language and Speech Processing. hitz.eus/job-offers
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.@alonsonlp also participated in the panel about ArgNLE
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Iñigo Alonso retweeted
Represent!!! 🚀🚀🚀🚀🚀
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Iñigo Alonso retweeted
Happening today at 11, In-Person Poster Session 1 😀
Excited to present StructSum 📊🧠 at #ACL2024 with Andreea Marzoca & Francesco Piccinno @nopper! Come and say hi 🤝 if you'd like to chat about our paper, LLMs for generating structured outputs, or context-heavy NLP tasks. See you there!✨✨ arxiv.org/abs/2401.06837
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Iñigo Alonso retweeted
I will be presenting our work tomorrow at the Poster Session at 16:00 @ #ACL2024NLP Feel free to come by and chat!
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Iñigo Alonso retweeted
Today I will be presenting Latxa at @aclmeeting In-Person Poster Session 3 at 16:00-17:30. Come if you want to hear about our work. I will be giving out Latxa stickers too! #ACL2024NLP
In our new paper, we introduce Latxa, a family of LLMs for Basque from 7 to 70B parameters that outperform open models and GPT3.5. Models and datasets @huggingface hf.co/collections/HiTZ/latxa… Code: github.com/hitz-zentroa/latx… Blog: hitz.eus/en/node/343 Paper: arxiv.org/abs/2403.20266
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Hey! I will be presenting our work, PixT3: Pixel-based Table-To-Text Generation, tomorrow at Poster Session 1 at 11:00AM during #ACL2024NLP Come and say hi! :D
Reimagining table representation! In our new #ACL2024NLP paper we introduce PixT3: a family of image-based Table-to-Text Generation models that scale better at generating text from large tables, outperforming traditional text-based baselines. arxiv.org/abs/2311.09808
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New @hitz_zentroa paper! "MedExpQA: Multilingual Benchmarking of Large Language Models for Medical Question Answering"; w/ @ragerri and @jiporanm in Artificial Intelligence in Medicine (Elsevier) Paper: doi.org/10.1016/j.artmed.202… Resources: huggingface.co/datasets/HiTZ…
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Highlights: (i) MedExpQA: the first multilingual benchmark for MedicalQA including gold reference explanations; (ii) Exhaustive comparison of gold reference explanations with respect to automatically retrieved medical knowledge using state-of-the-art RAG techniques
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Conclusions: (i) Overall performance of LLMs with or without RAG still has large room for improvement; (ii) Performance for non-English languages substantially lower - stresses urgent need of advancing Medical QA in languages different to English
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Come and work with us!
WE ARE HIRING!! 🥳The HiTZ Center for Language Technology (hitz.eus) at the University of the Basque Country (UPV/EHU) invites applications for predoctoral and postdoctoral positions in Natural Language and Speech Processing. CHECK IT HERE!! hitz.eus/job-offers
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LLMs are the de facto building block in recent multimodal models. Yet, it is still unclear why text-only models can generalize to multimodal inputs! We investigate why, and provide insights with practical implications on performance, efficiency and safety problems. (1/10)
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Reimagining table representation! In our new #ACL2024NLP paper we introduce PixT3: a family of image-based Table-to-Text Generation models that scale better at generating text from large tables, outperforming traditional text-based baselines. arxiv.org/abs/2311.09808
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[3/4] Our approach also enables PixT3 to produce significantly more accurate texts according to human evaluation.
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