One week to go until ELLIS ESSIR 2025 starts in Wolverhampton, UK. We are excited! And it's still possible to register and join the other researchers to hear about Information Retrieval and AI! (w/ @iFromm, @HaimingLiu1, & Emine Yilmaz)
https://t.co/z0BdYWXcAS
We’ve extended the early-bird deadline for our ELLIS ESSIR Information Retrieval Summer School in Wolverhampton, UK, July 7-11. For more information, visit https://t.co/GLRAxeooRC. Horizon Europe-associated countries are eligible for travel support! And you get FDIA 2025 as well!
ESSIR 2025, the European Summer School on Information Retrieval in Wolverhampton, UK, July 7-11! Dive into cutting-edge Information Retrieval & AI, network with experts. Plus, don’t miss the interactive FDIA Symposium! 🎓
👉 https://t.co/5DoTglVSQE @essir_eu#IR#AI#ECIR2025
@Marwah_k@NegarEmpr@IR_oldie and I contributed a chapter on Generative IR Evaluation to this recently released book on information access in our new world of GenAI.
https://t.co/8931gRy5uE
📢Exciting announcement: The @compcomcon workshop report on "Future of Information Retrieval Research in the Age of Generative AI" is out! An awesome 39-page report, highlighting short- & long-term research plans for the IR, NLP & AI communities. https://t.co/lioIwUkrE4
Glad to organise 3 tasks at FIRE-2024 @fire_forum.
Please participate or spread the word.
ILSUM: Detect misinformed news summaries.
IRSE: Are code comments useful? Is LLM-generated code trustworthy?
SqCLIR: CLIR on spoken queries.
A very good set of resources (reading list, code, slides, etc) in the webpage of the #sigir2024 Generative Information Retrieval tutorial by @mdr et al. - see https://t.co/DZnkYifYBr
Join us for Search Engines Amsterdam this Friday at 4pm CEST! @snbruch (Pinecone) and @HansiZeng (UMass) will join us and discuss recent innovations in search indexing for dense retrieval and in generative IR.
Sign up here 👇
https://t.co/7eiMEBVLM5
I am looking to recruit a highly motivated RA who will contribute to research in human centred AI, information interaction and retrieval. Applicants from a range of backgrounds will be considered, including but not limited to NLP, IR, HCI, LIS https://t.co/FUtl6jGWjX
My course "Recent Advances on Foundation Models" at Waterloo is public. Check out https://t.co/FcyMu6KzSS.
In the course, we cover lots of interesting topics including transformers, LLM, pre-training, quantization, sparse attention, instruction tuning, RLHF, prompting, Vision transformers, diffusion models, multimodal models, agents, RAG, etc.
I will continue to upload the slides (ppt) to the website. Some of them will also have recorded videos soon. There are already 12 lecture slides available now. These slides are made by the awesome attendees of the course.
I am looking for a PhD candidate to work on machine learning for search systems! 👩🎓👨🎓
We offer a fully funded position, freedom in your research direction, great working environment and very friendly colleagues.
You can apply here: https://t.co/ym7Wfjz6lL
RT is appreciated! 😄
The @AdmsCentre Web Search event was a great success, 100 people attended face to face and 68 online through the day. Videos of all the events, including keynotes from @susan_dumais and @chirag_shah are here https://t.co/Wxyef5fWLh @RMITComputing
Don't miss our #ACL2023 tutorial on Retrieval-based LMs and Applications this Sunday!
https://t.co/PI4mFY0rG8
with @sewon__min, @ZexuanZhong, @danqi_chen
We'll cover everything from architecture design and training to exploring applications and tackling open challenges! [1/2]
I often get requests to dispel some of the jargon behind transformers and LLMs!
So here we go, my new article on "Understanding Encoder and Decoder LLMs":
https://t.co/muow0Kew8d
Want to learn more about retrieval, both key concepts and cutting edge models & tools?
Watch our recent conversation at the LangChain Retrieval Webinar w/ @hwchase17@jobergum@charles_irl
I discuss the 𝗖𝗼𝗹𝗕𝗘𝗥𝗧 retrieval model and the 𝗗𝗦𝗣 programming model from 29:00!
Why you shouldn't use #GPT to create #IR relevance judgments, even though it looks like you could
Perspectives on Large Language Models for Relevance Judgment
Faggioli, Dietz, Clarke, Demartini, Hagen, Hauff, Kando, Kanoulas, Potthast, Stein, Wachsmuth
https://t.co/uCoUwdWLma