Maël Jullien @Mael_Jullien
Ph.D. Student in CS @UnivManchester | MSc in CS & AI @UnivNottingham | Exploring Neuro-Symbolic Models in NLI for Clinical Applications @explAIn_lab 🇫🇷 🇬🇧 Joined November 2020-
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Natural language definitions have the core function of describing the essential meaning of words and concepts. This makes them a rich source of information for textual embeddings. But, how can we leverage their recursive and hierarchical semantic structure at scale? 🧐
Are you trying to build safe AI applications in critical domains? If so, consider participating in SemEval 2024 Task 2. We introduce new perturbations for testing the robustness, consistency, and faithfulness of LLMs and NLI systems in the clinical domain. #nlproc #semeval2024
80+ participants have already signed up for the Safe Biomedical Natural Language Inference for Clinical Trials Task @SemEvalWorkshop! With one week still to go for the practice task, it's the perfect time to jump in. Join us now on codalab.lisn.upsaclay.fr/competitions/1…. #SemEval #NLPChallenge
This month I was formally awarded my PhD, and so I'm officially #PhDone! Finishing off with an internship at the Amazon Alexa AI research group in Cambridge, and then - I'm on the job market in the UK for 2024! :D Shout if you can recommend any cool orgs hiring NLP people!
We have more than 100 participants registered for our #NLProc semantic relatedness SemEval shared task! All the datasets (in 14 languages) have been released and updated. Moreover 👇 1/
Are you interested in Mathematics and Natural Language Processing? Consider submitting your work at MathNLP 2024, co-located with @LrecColing! The call for papers is now open: lnkd.in/ezHBYVsZ #NLProc #NLP @debs_mf @Mokanarangan @andrenfreitas
Good work from @StanfordHAI showing that GPT 4 is not robust enough for use as a medical co-pilot for the following important reasons: 1) Non-deterministic: They found low similarity and high variability in responses to the same question. Jaccard and cosine similarity…
LLMs in Medicine A comprehensive survey (analyzing 300+ papers) on LLMs in medicine. Includes an overview of the principles, applications, and challenges faced by LLMs in medicine. arxiv.org/abs/2311.05112
My students and I cannot make EMNLP this year, here is a brief overview of our work on political bias in summarization (arxiv.org/abs/2305.02321 ) and explanations of label variation (arxiv.org/abs/2310.13850). #EMNLP2023
Lowkey Goated when #Computing meets Check out this awesome paper from Mael Jullien et al. on Natural Language Inference for Clinical Trial Reports: deepai.org/publication/nl… 🤓🤓 @mrc_valentino
📢 We are pleased to announce that the @SemEvalWorkshop 2024 will be co-located with @naaclmeeting from June 16-21, 2024. See you in in Mexico City, (Mexico)! For further information on this initiative, please refer to semeval.github.io/SemEval2024/ta… @shashwatup9k @harish @complingy
We are glad to announce SemEval 2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials. Register here to participate codalab.lisn.upsaclay.fr/competitions/1…. @SemEvalWorkshop @mrc_valentino #HealthcareAI #ClinicalTrials
ACL org announcement: 📢 The list of accepted tutorials at EACL, ACL, NAACL and EMNLP in 2024 is out 🎉 #NLProc Please help spread the word. Retweeting w/ references, especially with instructors information etc is very much appreciated - thanks! 😊
Join us for the SemEval 2024 task 2 at @naaclmeeting!
Consider participating in our SemEval 2024 task @naaclmeeting!
Consider participating in our SemEval 2024 task @naaclmeeting!
Sytashis @sytashis43190
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BaohaoLiao @baohao_liao
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김찬휘 @chanhwistle
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JohnSnowLabs @JohnSnowLabs
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Majeed Kazemi @MajeedKazemi
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Julien Fauqueur @riqo66
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Siyu Yuan @siyu_yuan_
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Anastasios Nentidis @Tasos0000
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NLI4CT @NLI4CT
31 Followers 10 Following SemEval 2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials
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DoreenJackson @acj4pwa2ektR50
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Hamid Naderi Yeganeh @naderi_yeganeh
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Haritz Puerto @HaritzPuerto
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Allie Lahnala @AllieLahnala
283 Followers 653 Following #NLProc PhD Student in the @CaisaLab at @UniBonn
Simone Tedeschi @SimoneTedeschi_
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Elaine @elaine88leeper
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Fei Wang @fwang_nlp
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Rishu Kumar @rishdotuk
549 Followers 538 Following A student of language @EM_LCT (@ufal_cuni & @LstSaar). Machine Translation and Summarisation #NLProc
Josef Valvoda @ValvodaJosef
674 Followers 1K Following PhD candidate @CambridgeNLP group @Cambridge_Uni
Rexhina Blloshmi @rexhina_b
441 Followers 888 Following Machine Learning Scientist @AmazonScience ~ Prev PhD #CS @SapienzaNLP #NLProc she/her
Shengqiang Zhang @WindOcean5829
78 Followers 328 Following PhD student @CisLmu. Previously master @PKU1898.
Xinyan Velocity Yu @XinyanVYu
618 Followers 543 Following #NLProc PhD @usc, bsms @uwcse | Previously @Meta @Microsoft @Pinterest | Doing random walks in Seattle
James Michaelov @jamichaelov
281 Followers 622 Following Cognitive Science PhD candidate @CogSciUCSD, Anthropogeny Specialization @CARTAUCSD. Interested in language comprehension, the brain, and computational models.
Salvatore Strong @strong56025
125 Followers 3K Following
Panayiotis Smeros @psmeros
255 Followers 230 Following Postdoctoral Fellow at UniBE | #NLProc Researcher | He/Him | 1312
Lisa @lisa_black9
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Forrest Davis @Forrest_L_Davis
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Yu (Bryan) Zhou @yu_bryan_zhou
483 Followers 712 Following Incoming PhD @uclanlp, currently @StanfordSVL
pkms🍕 @PrakamyaMishra
699 Followers 1K Following Applied Research Engineer @AMD | Researcher @ BioNLP Lab @manningcics | Ex-Applied Scientist Intern @AmazonScience | MS CS @manningcics
عمرو قلج (🙏.. @Amrkeleg
538 Followers 1K Following PhD student at the University of Edinburgh @Edin_CDT_NLP. Research interests: Linguistic Diversity of Arabic Dialects, Arabic NLP, Low-resource Languages
Alon Jacovi @alon_jacovi
1K Followers 358 Following ML/NLP, XAI @biunlp @googIeresearch. previously:@allen_ai @IBMResearch @RIKEN_AIP
Tim Dillon @TimJDillon
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Crime Net @TRIGGERHAPPYV1
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Seolhwa Lee @Seolhwa_Lee_
137 Followers 235 Following Postdoctoral researcher at @UKPLab 🇩🇪| former @coastalcph 🇩🇰 | PhD at Korea Univ 🇰🇷| Dialogue and differential privacy in NLP. she/her
Chen Cecilia Liu @ChenLiu47008770
154 Followers 378 Following ELLIS Ph.D student at @UKPLab @TUDarmstadt and @Cambridge_Uni | Prev. Canadian startups, @UofT PSI Lab 🇨🇦
Simone Tedeschi @SimoneTedeschi_
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Pratyusha Sharma @pratyusha_PS
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Xingyao Wang @xingyaow_
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Jeff Clune @jeffclune
23K Followers 409 Following Professor, CS, U. British Columbia. CIFAR AI Chair, Vector Institute. Sr. Advisor, DeepMind | ML, AI, deep RL, deep learning, AI-Generating Algorithms (AI-GAs)
Ben Poole @poolio
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Zachary Lipton @zacharylipton
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Goro Kobayashi @goro_koba
478 Followers 450 Following Ph.D. student at Tohoku University, Japan🇯🇵 (Tohoku NLP lab. @tohoku_nlp) #NLProc
Tim Rocktäschel @_rockt
29K Followers 1K Following Open-Endedness Team Lead @GoogleDeepMind, Professor of AI @AI_UCL, PI @UCL_DARK, @ELLISforEurope Scholar. ex @MetaAI (FAIR), @CompSciOxford. Opinions my own.
hiroshi matsuda @hmtd223
1K Followers 294 Following Chief Research Scientist at Megagon Labs Tokyo Developing GiNZA and vecscan 国立国語研究所 共同研究員・国立情報学研究所 外来研究員 Violist, Japanese noodle gourmet
Danielle Belgrave @DaniCMBelg
7K Followers 2K Following VP of AI/ML @GSK. Curious about using AI to make the world a better place. Views my own.
Benjamin Rosman @BenjaminRosman
2K Followers 394 Following Professor (machine learning and robotics) @WitsUniversity | Director @raillabwits | Co-founder @LelapaAI | Founder @DeepIndaba | Proudly South African
Sriyash Poddar @sriyash421
141 Followers 795 Following phd @uwcse | undergrad @iitkgp | building safer robots for humans
Tatsuki Kuribayashi @ttk_kuribayashi
680 Followers 434 Following Postdoc at @mbzuai. Previously, PhD at @NLPTohoku and co-founder of @langsmith_nlp.
Vivek Gupta @keviv9
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188 Followers 945 Following Research Scientist @NVIDIA. Previously: PhD @HKUST; Research Intern @Salesforce. Research focus: Large Vision-Language Model, LLMs, and more.
Karolina Stanczak @karstanczak
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Shibhansh Dohare @s_dohare
314 Followers 395 Following PhD Student at @rlai_lab, @AmiiThinks Trying to understand how the mind works Undergrad CSE @IITKanpur
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Reina Akama @jqk09a
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Michiel van der Meer @mtichiel
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Alexia Jolicoeur-Mart.. @jm_alexia
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K. Akimoto @kosuke1701
300 Followers 228 Following NLP researcher (question answering, information extraction)In our #EACL2024 paper, we explore this question in the context of Ethical Natural Language Inference (NLI) and propose a neuro-symbolic framework named Logic-Explainer.
Natural language definitions have the core function of describing the essential meaning of words and concepts. This makes them a rich source of information for textual embeddings. But, how can we leverage their recursive and hierarchical semantic structure at scale? 🧐
To what extent can neural networks manipulate mathematical expressions in latent space? Answering this is fundamental to understanding symbolic generalisation properties. In our paper, accepted to #NAACL2024, we investigate this question from a multi-operational perspective 🔍
LLMs have shown impressive explanation generation capabilities. However, we also know that LLMs can generate inconsistent explanations and are extremely hard to control. So, is there a way to verify the logical validity of LLMs' explanations and improve their overall quality? 🤔
Ollama OpenAI compatibility is here! ollama.ai/blog/openai-co… Time to update to 0.1.24! 😍 Let's go!
📢📢@SemEvalWorkshop-2025: First Call for Task Proposals semeval.github.io/SemEval2025/cft 📅Deadline: March 31, 2024 @shashwatup9k @harish @seirasto @giodsm @complingy @aclmeeting
Interested in multimodal fact-checking? Apply for a postdoc position with @MichaelSejr @ZhijiangG and me: jobs.cam.ac.uk/job/44672/ Deadline for applications is 25/1!
Are you trying to build safe AI applications in critical domains? If so, consider participating in SemEval 2024 Task 2. We introduce new perturbations for testing the robustness, consistency, and faithfulness of LLMs and NLI systems in the clinical domain. #nlproc #semeval2024
My thesis dug into NLI models' reasoning capabilities, focusing on natural logic. I was especially interested in interpretability and interventional probing methods! pure.manchester.ac.uk/ws/portalfiles…
This month I was formally awarded my PhD, and so I'm officially #PhDone! Finishing off with an internship at the Amazon Alexa AI research group in Cambridge, and then - I'm on the job market in the UK for 2024! :D Shout if you can recommend any cool orgs hiring NLP people!
GPT-4 has learned to be lazy when answering complex requests!
AI researcher tuning hyperparameters of their LLM
Interesting overview on the role of antibody drug conjugates (ADCs) in triple negative #breastcancer now out in #CancerTreatmentReviews Nice review by a stellar Italian team🇮🇹 @OncoAlert doi.org/10.1016/j.ctrv…
Does the benefit of trastuzumab and pertuzumab change according to HER2 and ER expression⁉️ At #SABCS23 I discussed with @Medi_Mix the results of our sub-analysis of the #APHINITY trial @JulesBordet @BIGagainstBC @OncoAlert ⬇️⬇️⬇️
Explore the APHINITY trial's new horizons with Dr @ElisaAgostinett at #SABCS2023. Discover the nuanced benefits of pertuzumab in early HER2+ breast cancer treatment. 👀 medimix.be/onco/subanalys… #Oncology #BreastCancerResearch #MediMix
GANs are not dead yet! 🧟♀️ By leveraging frozen pretrained classifiers with a R1 gradient-norm penalty in feature space and a relativistic loss, one can get high-quality image generation without data augmentation and using only tiny batch sizes (8). openaccess.thecvf.com/content/WACV20…
RAG for LLMs Great to see an overview of all the retrieval augmented generation (RAG) research that has been happening. Should be a great read for the end of the year. arxiv.org/abs/2312.10997…
4-bit quantised Mistral 7B instruct v0.2! - fasttt! 🏎️ On Mac (M2). Powered by MLX. Fully local. Requires < 10GB RAM for 4-bits. (GPU poors, rise up) Have to say, MLX is a solid alternative to llama.cpp
New #NLProc paper on the evaluation of task-oriented dialogue systems: arxiv.org/abs/2312.13871 This took a while to complete (#slowscience), but it was really nice to be able to contribute to the paper.
We are looking forward to seeing you in our task introduction and QA Zoom session! (We'll share the date and link with our participants in early January.) 3/
FAQs are here semantic-textual-relatedness.github.io/#faqs also please check the task overview and references if you'd like to know more about the task. (We will update the FAQs from time to time.) 2/
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