🥳 Our new paper is out! Evaluating the generalisability of neural rumour verification models sciencedirect.com/science/articl… #NLProc Maria Liakata @robnprocter Tamanna Hossain-Kay Yulan He Arkaitz Zubiaga Sameer Singh Robert L. Logan IV

Excited to share our #NeurIPS2022 (Oral) paper on "Predictive Querying for Autoregressive Neural Sequence Models" with Alex Boyd, Sam Showalter, and Padhraic Smyth. (1/5)

Happy to share this work won honorable mention for best paper at the TSRML workshop at NeurIPS 😀🎉 𝙷𝚒𝚖𝚊 𝙻𝚊𝚔𝚔𝚊𝚛𝚊𝚓𝚞 Sameer Singh @SatyaXploringAI

New! DHS has added 8 new "fields of study" to the STEM OPT eligible list: - Landscape architecture - Institutional research - Mechatronics - Composite materials tech - Linguistics and comp sci - Developmental and adolescent psych - Geospatial int. - Demography and pop studies.

Dear ACL community, ACL is considering multiple proposals to change its anonymity period policy. It seeks immediate feedback from the community about the proposed changes. Please add your voice until Friday, September 22nd (AOE): aclweb.org/portal/content… #NLProc

(1/6) 🚀🚀 Thrilled that our paper arxiv.org/abs/2305.14907 has been accepted to #EMNLP2023 findings! 🎉 tl;dr: Selecting in-context examples that together cover all the salient aspects of the test input yields training-free methods that beat even trained SoTA methods! 💪🔥

En route to Singapore 🇸🇬 for #EMNLP2023! I'll present (virtual poster Sun @ 9am) our work on training-free example selection for In-Context Learning. Come say hi if interested in chatting about ICL, reasoning, and generalization with LLMs or even exploring Singapore!

🔃Please RT🔃 My 1st TODO item this year is getting a new exciting research job! Please DM me if open source/science matters to your team e.g., open-sourcing research projects & publishing papers Long ver. linkedin.com/posts/yoshitom… Webpage: yoshitomo-matsubara.net Thanks🙏

I'm happy to announce AI research internship opportunities at Dataminr! Topics range from LLMs, #NLProc , CV, HCI, to #aiforgood , and more. Prior internships have resulted in papers at conferences such as AAAI, ACL 2025 and CVPR News. dataminr.wd12.myworkdayjobs.com/Dataminr/job/U…

Are Models Biased on Text without Gender-related Language? We've investigated the answer to this question in our recent ICLR 2024 paper! 🧵 Paper - arxiv.org/abs/2405.00588 🎥 (5 min) Video - youtube.com/watch?v=gmqBoB… 🌐 Landing page - ucinlp.github.io/unstereo-eval/

LLMs can have a huge impact on gaming🎮, but not in the way you may think! Number 10 may surprise you!😱 I wrote up some of my thoughts and ideas about the use of LLMs in games. There's a lot more to it than just generative AI NPCs. 📖kolbynottingham.com/llms-and-games

Lots of discourse around long-context language models (LCLMs) subsuming RAG and retrieval but how close are we to this paradigm shift? Introducing LOFT a 1 million token benchmark spanning 6 tasks & 35 datasets to test LCLMs’ ability to do in-context retrieval & reasoning [1/10]

Video: An attempt to explain Diffusion LMs in 15 minutes. Several people have noted that they have bounced off this topic before because the math felt a bit perplexing. Think it's a good time to revisit. youtu.be/WjAUX23vgfg

Excited to share Just read twice: going beyond causal language modeling to close quality gaps between efficient recurrent models and attention-based models!! There’s so much recent progress on recurrent architectures, which are dramatically more memory efficient and

prompt optimization is such a hard problem, and the algorithms are dumb. the fact that they work at all is baffling, and people don't talk about it enough for those who don't know, the prompt optimization problem is argmax_{x} ℓ(y | x; θ) where x is some prompt and ℓ is the

Retiring the US debt would retire the US dollar: We don't tax billionaires to fight the national debt. We tax billionaires to fight BILLIONAIRES. x.com/doctorow/statu… 3/

Alignment is necessary for LLMs, but do we need to train aligned versions for all model sizes in every model family? 🧐 We introduce 🚀Nudging, a training-free approach that aligns any base model by injecting a few nudging tokens at inference time. 🌐fywalter.github.io/nudging/

How diverse are the outputs of text-to-image models and how can we measure that? In our new work, we propose a measure based on LLMs and Visual-QA (VQA), and show NONE of the 12 models we experiment with are diverse. 🧵 1/11

🚨Please repost🔃 Actively exploring new opportunities that align with my passions and skills, ideally a research scientist position with a spirit of open source/science DM me if you know such opportunities! About me yoshitomo-matsubara.net Long ver. linkedin.com/posts/yoshitom…