Mathieu Ravaut (@MatRavox) header
Mathieu Ravaut (@MatRavox) profile picture

ML, NLP, Quant research. Graduate from @ntunlpsg | @AstarI2r | @uoftcompsci | @centralesupelec. Currently QR at ADIA.

United Arab Emirates
Joined August 2014
Photo by Mathieu Ravaut (@MatRavox)Photo by Mathieu Ravaut (@MatRavox)Photo by Mathieu Ravaut (@MatRavox)Photo by Mathieu Ravaut (@MatRavox)Photo by Mathieu Ravaut (@MatRavox)Photo by Mathieu Ravaut (@MatRavox)Photo by Mathieu Ravaut (@MatRavox)Photo by Mathieu Ravaut (@MatRavox)Photo by Mathieu Ravaut (@MatRavox)Photo by Mathieu Ravaut (@MatRavox)
Checkout our analysis paper, to be featured in ACL main conference: arxiv.org/abs/2310.10570 We investigate the "middle-curse" exposed by the LITM paper for the specific task of abstractive summarizarion. In brief: the middle curse is very much an issue ! w @JotyShafiq @AixinSG โ€“ at Central Region, Singapore
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Checkout our paper on SSMs for long-input summarization! Happening today at EACL ๐Ÿ‘‡ Congrats to @florian_flb @songdng
๐Ÿค” Ever wondered how to summarize an entire book ๐‘Ž๐‘™๐‘™ ๐‘Ž๐‘ก ๐‘œ๐‘›๐‘๐‘’? We delve into this question in our recent paper โ€œ๐‹๐Ž๐‚๐Ž๐’๐“: ๐’๐ญ๐š๐ญ๐ž-๐’๐ฉ๐š๐œ๐ž ๐Œ๐จ๐๐ž๐ฅ๐ฌ ๐Ÿ๐จ๐ซ ๐‹๐จ๐ง๐  ๐ƒ๐จ๐œ๐ฎ๐ฆ๐ž๐ง๐ญ ๐€๐›๐ฌ๐ญ๐ซ๐š๐œ๐ญ๐ข๐ฏ๐ž ๐’๐ฎ๐ฆ๐ฆ๐š๐ซ๐ข๐ณ๐š๐ญ๐ข๐จ๐งโ€ (#EACL2024). ๐Ÿงต (1/8)
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Ever wondered how to summarize an entire book *all at once* with a deep learning model? Check out our latest paper on summarization: arxiv.org/abs/2401.17919 Through State Space models, we can scale the input to 600k tokens (!)
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To be featured at EACL 2024
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Check our survey - ChatGPT is gradually getting dethroned by open source alternatives
It has been exactly one year since the release of ChatGPT. How far are open-source LLMs? We provide an exhaustive review of open-source LLMs that claim to catch up with or surpass ChatGPT in various capabilities. paper๐Ÿ”—: arxiv.org/pdf/2311.16989.pdf ๐Ÿงต(1/5)
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Checkout our latest work on summarization!
Working paper: LLMs prioritize the introductory section of lengthy documents when generating summaries. arxiv.org/abs/2310.10570 A related question: what do LLMs really gain from an extremely long context? Is there some form of "summarization" when taking in the long context?
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Not happy about the abstractive summaries that you are generating from the language model? Have a try at sampling many and re-ranking them! ๐Ÿ‘‡ arxiv.org/abs/2212.09593 โ€“ at Central Region, Singapore
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In our new ACL Findings 2023 paper from @ntunlpsg , we propose to re rank summary candidates (similarly to models like SimCLS, SummaReranker, BRIO, etc) but this time in an *unsupervised* manner. โ€“ at Central Region, Singapore
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20 years later, Musk re doing a X company. I doubt eBay will buy the company this time though ๐Ÿ˜‚ โ€“ at West Region, Singapore
๐ŸšจBreaking: Elon Musk just created a new artificial intelligence company, X AI Corp.
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Check out the newest survey from our lab! @ntunlpsg โ€“ at Central Region, Singapore
With Palm-E and GPT4, Multimodal models are gaining popularity. To improve their grounding and correctness, retrieval augmentation is a promising solution... Check out our survey on methods that explore the intersection! arxiv.org/abs/2303.10868
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Singapore remains underrated ๐Ÿ‘‡ โ€“ at Central Region, Singapore
This quoted post is unavailable.
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~6 years doing research and ~2 years into my PhD, it feels good to reach this 200 citations milestone ๐Ÿฅณ to the moon!๐Ÿš€ โ€“ at West Region, Singapore
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Check out our new paper ! ๐Ÿ”ฅ To be featured at EMNLP 2022 #emnlp2022 #NLProc โ€“ at West Region, Singapore
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We propose a new paradigm in second-stage summarization: fusion of several 1st-stage summary candidates. โ€“ at West Region, Singapore
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Honoured to have presented our work at ACL in Dublin today @aclmeeting โ€“ at Dublin City, Ireland
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Warming up for ACL with SSNLP 2022 at NUS, great to catch up with other NLP labs across Singapore #NLProc @ntunlpsg @wing_nus
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Thrilled to share that our paper "SummaReranker: a Multi-Task Re-Ranking Framework for Abstractive Summarization" has been accepted to #acl2022nlp @JotyShafiq @ntunlpsg @nancyfchen1.
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We build a 2nd-stage model which learns to select the best summary candidate among candidates generated by a base SOTA seq2seq model (Pegasus, Bart) and a decoding process (beam search, diverse beam search).
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Not so far from the solo Gold!! Perhaps next time I'll get it
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(2/10) We did this study because we believe there is considerable value in existing data that could be leveraged for health system planning. We can better use the data we already have with an acurate and well calibrated model. Some clarifications:
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I highly recommend working with @VinyasHarish , a rising star in ML for healthcare!
Proud to have been part of this team effort between @Layer6AI @PopHlthAnalytic @ICESOntario and @uoftmedicine! Huge kudos to @MatRavox for leading the effort ๐Ÿคฉ
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(2/13) Many health systems around the world routinely collect data on healthcare interactions (e.g. lab tests, hospital admissions, etc) to facilitate billing. We sought to understand if this 'administrative health data' (AHD) can be leveraged further using ML methods
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Boyan Slat's problem solving initiatives are so inspiring (and way underrated).
Hereโ€™s the full presentation on how we hope to turn our ocean plastic catch from a problem into a solution: youtu.be/hzeI0kth22E
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Happy to share that I will be starting a PhD in NLP at NTU @ntunlpsg in Singapore this January! #NLProc
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