
Mayank Nagda
@MayankNagda35
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Trying Gambits. Doing Blunders.
Kaiserslautern, Germany
Joined July 2013
Every (almost) talk in AI conferences these days: we prompt a LLM in a very specific (and weird) way to solve a task and achieve SOTA performance (ofcourse there is also some theory behind it). #ijcai2024.
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RT @rao2z: Breaking News: #NeurIPS2025 received over 25,000 abstracts. Top submitters include: . ChatGPT Univ: 6,500.Claude Ins….
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Attending a topic modeling talk by David Blei at #ijcai2024 with a topic modeling paper (poster) in hand.
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Excited to present our paper on integrating syntax with neural topic models at @IJCAIconf 2024 in Jeju Island, South Korea! If you're around, join me for the talk and poster session on August 7th at 15:00 in the NLP session. #ijcai2024
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arxiv.org
There is a lack of quantitative measures to evaluate the progression of topics through time in dynamic topic models (DTMs). Filling this gap, we propose a novel evaluation measure for DTMs that...
🎉 Thrilled to announce that our paper is accepted at ACL 2024 @aclmeeting @aclanthology #acl2024 #NLProc:.
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🎊 Happy to announce that my work is accepted at @IJCAIconf.
🎉 Excited to announce our two papers accepted at IJCAI 2024 (@IJCAIconf):. The papers tackle crucial challenges in language understanding and multimodal learning. We will be presenting them at the conference. #IJCAI2024 #AI #NLP #MultimodalLearning.
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Checkout our work published at COLING 2024:
arxiv.org
Evaluating Text Style Transfer (TST) is a complex task due to its multifaceted nature. The quality of the generated text is measured based on challenging factors, such as style transfer accuracy,...
checkout our full work: Authors: Phil Ostheimer (@PhilOstheimer), Mayank Nagda (@MayankNagda35), Marius Kloft, Sophie Fellenz (@sophieImWeb2_0).
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RT @SianGooding: I think I should be allowed to cage fight my EMNLP reviewers instead of having a rebuttal period tbh.
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checkout our latest paper:
arxiv.org
Text Style Transfer (TST) evaluation is, in practice, inconsistent. Therefore, we conduct a meta-analysis on human and automated TST evaluation and experimentation that thoroughly examines...
📢 New paper alert! Our latest research selected at #ACL2023 findings, calls for standardization and validation in Text Style Transfer evaluation. We've conducted a comprehensive meta-analysis, revealing notable gaps in both human and automated evaluation processes. #NLProc.(1/n)
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RT @itsNVA7: Worked on a project for two years, received positive feedback from several top researchers in the field on my work, but ended….
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RT @sucholutsky: Whenever I get reviews back from ML confs (looking at you #ICML2023), I always think about the time Science trolled a bunc….
science.org
A spoof paper concocted by Science reveals little or no scrutiny at many open-access journals.
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RT @mukherji_rishav: Why is the most clueless reviewer always the most confident in his review? #ICML2023.
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RT @svpino: 10 YouTube videos for anyone starting with machine learning. On libraries, algorithms, and tools:.
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RT @ceyda_cinarel: How many #AImemes can you squeeze into a 50min presentation? Turns out I can make & fit around 35~40 #MLmemes! Here are….
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RT @labmlai: 1/5 We analyzed the relationship between ICLR 2022 review scores and factors such as social media popularity and presence in A….
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