Amr Sharaf @amr_n_sharaf
AI Research Scientist Joined July 2009-
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Excited to share that CPO has been accepted at ICML 2024!
📢 I am looking for a student researcher to work with me and my colleagues at Google DeepMind London on understanding & building new neural network architectures. Please reach out to me ([email protected]) and apply below before Mar 22 if interested! google.com/about/careers/…
Code: github.com/fe1ixxu/ALMA Model: huggingface.co/haoranxu/ALMA-… Paper: arxiv.org/pdf/2401.08417… Work done with my amazing teammates: @amr_n_sharaf @YunmoChen @weiting_nlp @Lingfeng_nlp @ben_vandurme @kentonmurray @yjkim362
Opening up a new generation of machine translation leveraging the power of LLMs! It's now in #ICLR2024 (w/ @fe1ixxu , @amr_n_sharaf , @hany_hassan ). Teaser: Another breakthrough is coming, soonish..
Opening up a new generation of machine translation leveraging the power of LLMs! It's now in #ICLR2024 (w/ @fe1ixxu , @amr_n_sharaf , @hany_hassan ). Teaser: Another breakthrough is coming, soonish..
Very proud that ALMA has been accepted at ICLR 2024! @jhuclsp @MSFTResearch arxiv.org/abs/2309.11674
Very proud that ALMA has been accepted at ICLR 2024! @jhuclsp @MSFTResearch arxiv.org/abs/2309.11674
#EMNLP2023 👋Check out our work on Leveraging GPT-4 for Automatic Translation Post-Editing. We formalize the task of automatically post-editing of translations in a generative setting and investigate the efficacy of GPT-4 on the task across multiple axes and language pairs.
Mistral 7B is out. It outperforms Llama 2 13B on every benchmark we tried. It is also superior to LLaMA 1 34B in code, math, and reasoning, and is released under the Apache 2.0 licence. mistral.ai/news/announcin…
Mistral 7B is out. It outperforms Llama 2 13B on every benchmark we tried. It is also superior to LLaMA 1 34B in code, math, and reasoning, and is released under the Apache 2.0 licence. mistral.ai/news/announcin… https://t.co/5gHmzyrHZb
Excited to release ALMA, a fine-tuned LLM model for machine translation, outperforming LLAMA-2 and comparable models on 12 translation directions, joint work lead by @Microsoft intern @fe1ixxu w/ @yjkim362 @hany_hassan
Excited to release ALMA, a fine-tuned LLM model for machine translation, outperforming LLAMA-2 and comparable models on 12 translation directions, joint work lead by @Microsoft intern @fe1ixxu w/ @yjkim362 @hany_hassan
@fe1ixxu did an amazing job over the summer as a @MSFTResearch intern!
@fe1ixxu did an amazing job over the summer as a @MSFTResearch intern!
Work done with my amazing teammates: @yjkim362 @amr_n_sharaf @hany_hassan @jhuclsp Code: github.com/fe1ixxu/ALMA Models: huggingface.co/haoranxu
Is your LLaMA still struggling with translation? 🚀ALMA, built on LLaMA-2 with our new MT training recipe, achieves over 12 BLEU & COMET than LLaMA-2's zero-shot and beats all prior works, even NLLB-54B & GPT-3.5 with 7B/13B parameters! Paper: arxiv.org/pdf/2309.11674…
At @trails_ai, we're hiring a Managing Director, to coordinate research & day-to-day program administration. If you enjoy working with diverse audiences, are organized, and want to work on developing the future of Trustworthy AI, please apply by Sep 11: ejobs.umd.edu/postings/111235
SIGGRAPH 2023 Technical Papers Trailer youtube.com/watch?v=VBZ2sD… via @YouTube
How do language models deal with ambiguous task specifications? Patterns (biases) start to emerge once we aggregate over a bunch of tasks that are ambiguous by design.
How do language models deal with ambiguous task specifications? Patterns (biases) start to emerge once we aggregate over a bunch of tasks that are ambiguous by design.
🚨 #SustaiNLP, #ACL2023, #VolunteerReviewersNeeded We need YOUR help to review an overwhelming number of submissions for the #SustaiNLP workshop at #ACL2023. Join our team of reviewers and help us ensure the success of this important workshop the 🌲 ! 🌍! DM me to sign up now.
Interested in using large language models for translating literary works (e.g., novels)? We hire human translators to annotate errors in LLM translations. In sum, LLMs w/ doc-level context >>> Google Translate, but they still make major errors (across 18 diff language pairs)!
Interested in using large language models for translating literary works (e.g., novels)? We hire human translators to annotate errors in LLM translations. In sum, LLMs w/ doc-level context >>> Google Translate, but they still make major errors (across 18 diff language pairs)!
Based on @KocmiTom's finding that ChatGPT outperforms existing MT metrics at system-level, we take further steps to investigate few-shot prompts and propose EA Prompting, to significantly improve the segment-level performance. e.g., +10.72 on wmt20 zh-en. github.com/Coldmist-Lu/Er…
Introducing "KOSMOS-1" as part of our new paper titled "Language Is Not All You Need: Aligning Perception with Language Models" and a step towards "Multimodal LLMs". Paper: arxiv.org/pdf/2302.14045…
A nice summary for out GPT for MT paper: slator.com/microsoft-larg…

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