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.Shengyao Zhuang Xueguang Ma and I are looking forward to tomorrow's "R2LLMs: Retrieval and Ranking with LLMs" tutorial at #sigir2025 "Light" agenda at ielab.io/tutorials/r2ll… -> slides and other material will be available here too soon SIGIR 2025

posters over the years (IJCAI 2022, ACL 2023, ACL 2024, ICML 2025)

Thanks! It's a gift we've been preparing for the community for over half a year. We'll keep working hard — more to come! 🙌

Important point to note is that while academic research is good, its value is greater if it's landed in prod. Simply writing papers isn't enough. Simply boasting about number downloads on HF is not enough.

Someday this will be considered as art at the same level as Mona Lisa by Leonardo Da Vinci.

The call for papers for the NeurIPS Mechanistic Interpretability Workshop is open! Max 4 or 9 pages, due 22 Aug, NeurIPS submissions welcome We welcome any works that further our ability to use the internals of a model to better understand it Details: mechinterpworkshop com

Raj Dabre "Will we have specialized optimizers for each component of the model which is suited for that component." Adapting the optimizer in this way is what's done in Scion (and we don't depend on Adam for any of the parameters) arxiv.org/abs/2502.07529

Someone I know, working in big tech was approached by a recruiter who had the audacity to ask: So apart from working full time on your company's product, have you done any personal research and published recently? Dude wtf! These recruiters are wild.

Honored to get the outstanding position paper award at ICML Conference :) Come attend my talk and poster tomorrow on human centered considerations for a safer and better future of work I will be recruiting PhD students at Stony Brook University Stony Brook University Dept. of Computer Science coming fall. Please get in touch.

The people have spoken.

There you go folks: tice.news/tice-dispatch/… Sarvam AI will open-source the Sovereign LLM that it is building as a part of IndiaAI mission. Just waiting for it to drop sometime this year 😄. CC: Paras Chopra Raj Dabre neural nets.