The one and only Ivan Titov presenting "Generalisation First, Memorisation Second? Memorisation Localisation for Natural Language Classification Tasks" arxiv.org/abs/2408.04965 w/ Verna Dankers!

Hetong (Hetong Wang, seeking PhD 25FALL!) presenting her amazing MSc thesis work at ACL'24 ACL 2025!

I am attending #ACL2024 in Bangkok and I am giving a keynote talk at RepL4NLP on Thursday (15 Aug), "Efficiency as an Inductive Bias for Language Models" Here is a preview with some hot takes and ideas!

🚨 New Dataset! Long-context models are evaluated on Books and TV scripts but not on Movies 🎬?🤷‍♂️ We propose "MovieSum: An Abstractive Summarization Dataset for Movie Screenplays" 🎥🍿 Catch us at #ACL2024 🇹🇭 on Wed, Aug 14 at 12:15 PM Poster Session. huggingface.co/datasets/rohit…

Yu Zhao (Yu Zhao) presenting his ACL 2024 Oral!

Are you at #ACL2024? The poster session for our paper is over, but Ameer is still around! Find him to learn more about our paper. EdinburghNLP

Here is a better one! 🏴󠁧󠁢󠁳󠁣󠁴󠁿🇹🇭 #ACL2024NLP

Excited about using synthetic natural language explanations to boost ICL's robustness against adversarial samples? Join us at our poster session at 10:30 AM (14/08)! #ACL2024 #ICL #AdversarialRobustness

I will present our poster "Analysing The Impact of Sequence Composition on Language Model Pre-Training" at 10:30am🚀🚀🚀 (Oral presentation had presented on Monday) Welcome to have a chat if you are interested in language model pre-training🤗 #ACL2024 #ACL2024NLP

Massive congrats Amr ((🙏🇵🇸) عمرو قلج Amr Keleg), Walid (Walid Magdy 🇵🇸), and Sharon! 🤗🤗🤗 🚀🚀🚀

Time for our second keynote from SIGREP #RepL4NLP with Edoardo Ponti Efficiency as an Inductive Bias for Language models!

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Come and chat about our #KDD2024 poster (#99) about lessons learned during the development of GRILLBot, our #AlexaPrize conversational task assistant ☀️ w/ Jeff Dalton Carlos Gemmell Iain Mackie Federico Rossetto GRILL Lab EdinburghNLP Preprint: arxiv.org/pdf/2402.07647

Thank you for the kudos, kerimkaya, for our latest work, "SynDARin: Synthesising Datasets for Automated Reasoning in Low-Resource Languages" (arxiv.org/abs/2406.14425) -- the masterminds behind this work are the amazing Gayane and Erik (Erik Arakelyan)! 🚀🚀🚀

Super interesting postdoc position at the School of Informatics, University of Edinburgh (School of Informatics, The University of Edinburgh) to work on research at the intersection of finance and NLP: elxw.fa.em3.oraclecloud.com/hcmUI/Candidat…

Congrats to Dr. Andreas Grivas who just defended his #PhD thesis on unargmaxability and constraints in deep learning, examined by Vlad Niculae and Iain Murray 🎉 A pity you could not (yet) see Andreas' beautifully designed thesis! In the meantime, some pics from the pre-viva 👇

OLMo supports Intra-Document Causal Masking now 🤗

Bam! 🚀🚀 Check out our Conference on Language Modeling papers: arxiv.org/abs/2404.16041 - Forklift: An Extensible Neural Lifter arxiv.org/abs/2405.15984 - Evaluating the Adversarial Robustness of Retrieval-Based In-Context Learning for Large Language Models More details at neuralnoise.com/2024/research/

Very excited to be in Barcelona for NeSy 2024! We're presenting two papers: - Our ICML paper x.com/EmilevanKrieke… - A preview of our new NeSy library ULLER together with Samy Badreddine, Eleonora Giunchiglia and Robin Manhaeve. We will give a special tutorial on Thursday! Hit me up!