Research Scientist, DeepMind
Joined February 2012
- Tweets 537
- Following 408
- Followers 2,573
- Likes 3,606
12 Photos and videos
Angeliki Lazaridou retweeted
6 May 2025
Next level Gemini landed - come try it @ ai.dev
6 May 2025
1/ Excited to introduce the updated Gemini 2.5 Pro (I/O edition), now even better at coding, and ranking #1 on WebDev Arena.
It’s achieving state of the art performance on image and video understanding, scoring 84.8% on the VideoMME benchmark. 📈
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Angeliki Lazaridou retweeted
6 May 2025
We’re releasing an updated Gemini 2.5 Pro (I/O edition) to make it even better at coding. 🚀
You can build richer web apps, games, simulations and more - all with one prompt.
In @GeminiApp, here's how it transformed images of nature into code to represent unique patterns 🌱
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Angeliki Lazaridou retweeted
6 May 2025
Gemini 2.5 Pro (I/O edition) is amazing at coding UI ✨
I vibe coded a dictation app that:
- Structures rambling voice notes
- Removes "ums" and fillers
- Automatically formats lists
All animations and polish from one screenshot!
Demo code below
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Angeliki Lazaridou retweeted
14 Jun 2023
I’m stoked to announce that @GlyphicAI is officially out of stealth with a $5.5M fundraise led by @p72vc to build an AI copilot for sales teams.
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Angeliki Lazaridou retweeted
26 Mar 2023
We're looking for a rockstar Product Designer to join us at Glyphic. 2023 is an exciting year for us as we work with early users and iterate on the product. Apply and see more info here: read.cv/teams/glyphic/produc…. (Artwork by @TomWaszkowycz)
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12 Dec 2022
One thing that I’m wondering is what sort of benchmarks (with easy evaluation) are out there that stress-test the same type of tasks humans pose to chatGPT. Any pointers?
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Angeliki Lazaridou retweeted
10 Dec 2022
👋 I will moderate the Careers in NLP panel this afternoon 5-6pm (Hall B) #EMNLP2022. We have a wonderful list of panelists.
Let me know questions and topics of most interest to you by 4pm via the following link:
forms.gle/a5Tf9BKEAnNqf7mp8. I will do my best to incorporate them.
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The Language team at DeepMind are hiring! Come and work with us on fundamental problems of language understanding and how this can lead us to better AI systems.
boards.greenhouse.io/deepmin…
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Angeliki Lazaridou retweeted
27 Sep 2022
❓Wondering when the #EMNLP2022 Industry Track notifications will be sent out?
We are finalizing the decisions and will send out all notification in a few hours. Stay tuned!
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Angeliki Lazaridou retweeted
13 Sep 2022
Intern applications at @DeepMind for the 2023 calendar year open this Friday, September 16th! 📣
Feel free to contact me or others for info, be ready to apply, and please share with your network!
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10 Aug 2022
After all the great research coming up in the community around the pitfalls of static LMs, these news from @huggingface are particularly exciting! There is a great deal of applications that online LMs can enable and a lot of interesting questions around new evaluations!
10 Aug 2022
We’re going to do it! We’ll train and release masked and causal language models (e.g. BERT & GPT-2) on new Common Crawl snapshots as they come out! We call this project Online Language Modeling (OLM). What applications or research questions can we enable or help answer? A 🧵:
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Angeliki Lazaridou retweeted
19 Jul 2022
We're presenting RETRO at 4:15pm @icmlconf with @borgeaud_s, and later today at the poster session. Add a retrieval DB to divide your model size by 10, don't miss out!
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19 Jul 2022
Less than a week left for the paper submission of the inaugural EMNLP Industry Track! Paper submission June 25th. Looking forward to the exciting submissions!
27 Apr 2022
EMNLP Call for paper for the inaugural *industry track* is posted! 2022.emnlp.org/calls/industr…
We have three tracks — deployed, emerging, and discovery, all focusing on real-world implementations of NLP systems. The submission deadline is July 25, 2022.
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19 Jul 2022
If you are at ICML check out our work on keeping QA models updated! Some reasons of why I’m super excited about this work! First, we make creative use of few-shot prompting to create a large QA dataset grounded in different points in time. Synthetic data FTW! 1/N
19 Jul 2022
Interested to chat about a new QA benchmark and how well our models adapt to new knowledge? Come see StreamingQA spotlight/poster today at #ICML2022.
By @TomasKocisky, @elenagri_, @aggielaz, @adliska, @TayfunTerzi, and others.
icml.cc/virtual/2022/spotlig…
arxiv.org/abs/2205.11388
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19 Jul 2022
(Vanilla) Retrieval methods are memory-intensive due to the growing search index and perform really well on low frequency items. Closed-book models otoh are compute-intensive and perform strongly on high-frequency items. This points to potential synergies between the two. :) 3/N
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19 Jul 2022
There is really a lot of great research on this very important topic across the whole community, both in terms of methods but also benchmarks. So, let’s make sure that as our models get better and bigger, they do not get stuck to a particular point in time :)
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Angeliki Lazaridou retweeted
20 Jun 2022
Only 5 days left to submit your 300 word abstracts to our @JCoLE2022 workshop on modelling language evolution & emergent communication! We accept classic agent-based models deep learning models, and have a stellar list of speakers! Join us!
More info: ml4evolang.github.io/
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30 May 2022
Some of the things we have been recently working on the topic of keeping models up-to-date :)
30 May 2022
Excited to share our new paper: "StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models" with @TomasKocisky, @elenagri_, @TayfunTerzi, @devang314, @aggielaz, and others.
arxiv.org/abs/2205.11388
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