@ITAAirways I’m a business class flyer flying from Dakar and your desk is not open 3 hours before as you suggest and with no online check in available, there is no way we can wait in the lounge. Your client service desk is empty. There is no way to reach out to you. Unacceptable
@Customer6_team To continue, business tickets do not allow you access to the Odysse lounge (that I had to pay out of my pocket) nor the topkapi lounge (as of today according to their staff). However your website clearly state those are the ones reserved for your clients.
👀 Exciting News! 👀
Happy to announce our latest research paper, “Retrieve, Read and LinK: Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget”, will be presented at #ACL2024! 🚀
Try it out! https://t.co/xJzHlNfEzA
Thread below 👇
"Are we going to die?"
📍#GazaStrip The situation is unbearable. These are the messages we’re receiving.
Our colleagues - our friends - struggling to explain what is going on to their children.
#HearTheirVoices
Did you know, that you can build a virtual machine inside ChatGPT? And that you can use this machine to create files, program and even browse the internet? https://t.co/15IwHwr2on
New paper in Science today on playing the classic negotiation game "Diplomacy" at a human level, by connecting language models with strategic reasoning! Our agent engages in intense and lengthy dialogues to persuade other players to follow its plans. This was really hard! 1/5
If attending #acl2022nlp in person and fancy blast-from-the-past #nlg, come by our poster between 15:15 - 16:15: "Hierarchical Recurrent Aggregative Generation for Few-Shot NLG" with @GiulioZhou and @iiacobacNLP.
Paper/talk links:
https://t.co/rz8GY8ZGlm
https://t.co/sUA037aoTv
“FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing” with @pasini_t, S. Zhang, L. Tomada, @schwemer, and A. Søgaard - poster on Monday 23 PS3-2 17-18h and orally presented on Wednesday 25 OS6-6 10h45-12h15 3/6
https://t.co/abnbJmbQ8V
New work on autoregressive language models for retrieval!
We train our model, SEAL (Search Engines with Autoregressive LMs) to produce text snippets occurring somewhere in the corpus, in relevant documents. We use the generated ngrams to rank documents in the corpus.
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