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EdinburghNLP
@EdinburghNLP
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The Natural Language Processing Group at the University of Edinburgh. BFF with @Imperial_NLP
Edinburgh, Scotland
Joined May 2017
The School of Informatics @InfAtEd at the University of Edinburgh @EdinburghUni is hiring a lecturer or reader in embodied natural language processing. Apply by 31 Jan 2025 at
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RT @rohit_saxena: LLMs can tackle math olympiad probs but... can they read a clock 🤔? 🕰️📆 Our experiments reveal surprising failures in te…
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RT @PontiEdoardo: I have a scholarship for a PhD on efficient memory and tokenization in LLMs at @EdinburghNLP! Eligibility: UK home fee s…
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RT @PontiEdoardo: Code and models for Dynamic Memory Compression are now available! Stay tuned for architectures with even more efficient…
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RT @PMinervini: Our work on fixing and improving MMLU ("Are We Done with MMLU?", NAACL 2025) is featured on the De…
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RT @PontiEdoardo: It's raining conference decisions, congrats to the first authors @ZeroyuHuang @huhanxu1 @uriberger88 @colemanhaley22 and…
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RT @PMinervini: Massive congrats to the squad for the three NAACL 2025 (@naacl, @naaclmeeting, #NAACL) papers! Topics range from fixing MML…
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RT @__gautier__: Excited to (virtually) present a new evaluation metric for VLMs: "CAST: Cross-modal Alignment Similarity Test for Vision L…
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RT @andreasgrv: 📕⬇️ My thesis on 🚫unargmaxable outputs is online! Check it out if you want to learn more about how output layers constrain…
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RT @GayaGhazaryan: Thrilled to announce that our paper, "SynDARin: Synthesising Datasets for Automated Reasoning in Low-Resource Languages,…
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RT @SayinBurcu: I’m pleased to announce that our paper “Fostering effective hybrid human-LLM reasoning and decision making” has been publis…
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RT @PMinervini: Exponential family distributions can represent any combinatorial solver via MAP inference (
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RT @PMinervini: If you're a 1st/2nd year PhD student, please make a website about yourself and your work! No need to go into debt; just us…
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RT @robert_mchardy: Very cool to see @deepseek_ai also adopting MMLU-Redux, after @Alibaba_Qwen used it for evaluating Qwen too. Nicely do…
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RT @devoto_alessio: In Vision & Audio transformers, not all tokens need the same compute resources! We propose “modular learners” to contro…
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RT @bjoernross: How do I make sure my LLM research is ethical? Read our whitepaper, or hear about it at #coling2025
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RT @s_scardapane: *Adaptive Computation Modules: Granular Conditional Computation For Efficient Inference* with @devoto_alessio @PMinervini…
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