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Yufang Hou

@yufanghou

Professor for Natural Language Processing at IT:U - Interdisciplinary Transformation University Austria. Views are my own.

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Yufang Hou Reposted

It was great talking about Holmes🔎 Poster improvisation is fun! #EMNLP2024 Great collaboration with @yotamperlitz @LChoshen @yufanghou @IGurevych More to come🔥 holmes-benchmark.github.io arxiv.org/abs/2404.18923

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Prompting LMs is not enough to quantify their linguistic competence! Meet the Holmes🔎 benchmark at #EMNLP2024 #TACL or 👉🧵 💠Meta-study of current literature 💠Coverage of LMs and phenomena 💠Analysis of LM size, architecture, and instruction tuning holmes-benchmark.github.io

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Yufang Hou Reposted

Meet @Furkansahinuc and @yufanghou now in Riverfront Hall and discover our LLM-based framework to create leaderboards aclanthology.org/2024.emnlp-mai…

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Ever looked for paper leaderboards on certain tasks and datasets but find that community generated ones are inaccurate? 🥇🥈🥉 In our #EMNLP2024 paper, we introduce a dataset and an LLM-based framework to create accurate leaderboards! 🧵 (1/11) 📄 arxiv.org/abs/2409.12656

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Yufang Hou Reposted

Woohoo 🥳Meet Holmes at #EMNLP2024 Interested in the linguistic competence of LMs and how it contrasts with their linguistic performance? Happy to chat and/or grab a drink!! Also, two of the amazing co-authors are around @yufanghou @LChoshen

Prompting LMs is not enough to quantify their linguistic competence! Meet the Holmes🔎 benchmark at #EMNLP2024 #TACL or 👉🧵 💠Meta-study of current literature 💠Coverage of LMs and phenomena 💠Analysis of LM size, architecture, and instruction tuning holmes-benchmark.github.io

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Yufang Hou Reposted

And consider following the authors Furkan Şahinuç (@Furkansahinuc), Thy Thy Tran (@thy2512), Yulia Grishina, Yufang Hou (@yufanghou), Bei Chen, Iryna Gurevych (@IGurevych) for more information or an exchange of ideas. (10/🧵)


Yufang Hou Reposted

»Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific Leaderboards« by @Furkansahinuc, @thy2512, Yulia Grishina, @yufanghou, Bei Chen, and @IGurevych @UKPLab, @IBMResearch, @AmazonScience 📄 arxiv.org/abs/2409.12656 (3/🧵)

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