🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

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: ru.nl/en/working-at/… RT is appreciated! 😄

INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning INTERS is an instruction tuning dataset spanning 21 information retrieval tasks that improves LLMs' search abilities. 📝arxiv.org/abs/2401.06532 👨🏽‍💻github.com/DaoD/INTERS

If you haven’t been living under a rock, you have already noticed that the developer community is currently super excited about DSPy. DSPy is a framework developed by Stanford NLP researchers (Omar Khattab) to help you build LLM-based applications. In contrast to similar

My 2024 #ReinforcementLearning course at ASU has been completed. Slides, videolectures, supporting material, and PDF of my new 440-page textbook “A Course in Reinforcement Learning”, can be found at web.mit.edu/dimitrib/www/R…

Long context is essentially a length generalization problem. Our recent work "Transformers Can Achieve Length Generalization But Not Robustly" (arxiv.org/abs/2402.09371) showed a surprisingly simple approach to achieving length generalization: train your model several times using

My last work at Microsoft Research is finally released: github.com/microsoft/MS-M… 10 MILLION REAL Bing search queries with 60 MILLON+ REAL user clicks on 10 BILLION ClueWeb22 documents. Have fun scaling up!

today i learned something very interesting at ICLR, a term called order of evidence. During RAG, we send the top retrieved documents as evidences and prompting them to LLMs. Normally prompting is based on cosine similarity: top match always being prompted first. However,

Introducing "Hard Prompts" Category in Arena! In response to the community's growing interest in evaluating models on more challenging tasks, we are excited to launch the new "Hard Prompts" category. We select user prompts that are more complex, specific, and problem-solving

Reliable Confidence Intervals for Information Retrieval Evaluation Using Generative A.I Google introduces two methods for creating reliable confidence intervals around IR evaluation metrics using LLM-based relevance annotation 📝arxiv.org/abs/2407.02464 👨🏽‍💻github.com/google-researc…

Future of LLM and IR research from Cheng Zhai's perspective: #SIGIR2024

Enhancing Q&A Text Retrieval with Ranking Models: Benchmarking, fine-tuning and deploying Rerankers for RAG NVIDIA benchmarks ranking models for text retrieval in QA tasks introducing a new sota model NV-RerankQA-Mistral-4B-v3 📝arxiv.org/abs/2409.07691 👨🏽‍💻build.nvidia.com/explore/retrie…

Inference Scaling for Long-Context Retrieval Augmented Generation Google DeepMind introduces novel inference scaling strategies for long-context RAG, demonstrating near-linear performance improvements with optimal compute allocation. 📝arxiv.org/abs/2410.04343

"I'm in a cheap hotel in California which doesn't have a good internet or phone connection. I was going to have an MRI scan today but I'll have to cancel that!" - New physics laureate Geoffrey Hinton speaking at today’s press conference where his #NobelPrize was announced.

Huge congratulations to @DemisHassabis and John Jumper on being awarded the 2024 Nobel Prize in Chemistry for protein structure prediction with #AlphaFold, along with David Baker for computational protein design. This is a monumental achievement for AI, for computational

Congrats to my colleagues Demis Hassabis & John Jumper for winning the Nobel Prize in chemistry for their awesome AlphaFold work. AlphaFold has had a dramatic impact across many fields including medicine, drug development & more. And yes, this is my second Nobel-congratulating

What a way to celebrate one year of incredible Gemini progress -- #1🥇across the board on overall ranking, as well as on hard prompts, coding, math, instruction following, and more, including with style control on. Thanks to the hard work of everyone in the Gemini team and

We’re crushing it with training specialist models. Just need to build specialist models that train the ultimate generalist model for us. It might feel like a step away from the goal, but this detour could be the perfect shortcut!

1/ Exciting new AI capabilities are coming to Google Search starting today. First, we’re bringing Gemini 2.0 models to AI Overviews so they can better handle questions like coding and advanced math. Second, we’re introducing a new Search experiment in Labs: AI Mode. We’ve been

We’re rolling out AI Mode to Google One AI Premium subscribers today, opt in on Labs. And just like AI Overviews, AI Mode will get better with time and feedback. Get details here: blog.google/products/searc…

Gemini 🤝 Search. Check out AI Mode, our new Labs experiment with the potential to make Google Search drastically more helpful for your hardest questions. AI Mode offers more advanced reasoning, thinking and multimodal capabilities, bringing the best of Gemini 2.0 to Search.