Yash Kumar Lal ✈️ #NAACL2025

@ykl7.bsky.social

PhD candidate at Stony Brook University; Prev: Google Research, AI2 Aristo, Salesforce Research; MS from JHU https://ykl7.github.io

I'll do the advisory advertising: @ykl7.bsky.social‬ is a fantastic researcher and is passionate about being in academia. He has this amazing ability to simply get things done! Happy to say more in a letter or over a chat but if you are going to @naaclmeeting.bsky.social (#NAACL2025) ping him.

Yash Kumar Lal ✈️ #NAACL2025@ykl7.bsky.social · last yr.

I'm headed to #NAACL2025 ✈️ in Albuquerque 🏜️Looking for postdoc positions in the US, so if you're hiring (or know someone who is), let's chat at the conference! Also organizing #WNU2025 so make sure to swing by the workshop on May 4

Heads up for anyone who missed this: ARR has moved to 5 cycles per year and the EMNLP deadline will be in May.

Yash Kumar Lal ✈️ #NAACL2025@ykl7.bsky.social · 2y ago

First CfP for #EMNLP2025 is live now. Submission deadline to May ARR cycle! Excited to be part of organizing the conference as publicity chair w/ @amuuueller.bsky.social @dallascard.bsky.social so watch out for more updates esp by following the official conf account @emnlpmeeting.bsky.social

First CfP for #EMNLP2025 is live now. Submission deadline to May ARR cycle! Excited to be part of organizing the conference as publicity chair w/ @amuuueller.bsky.social @dallascard.bsky.social so watch out for more updates esp by following the official conf account @emnlpmeeting.bsky.social

EMNLP@emnlpmeeting.bsky.social · 2y ago

The EMNLP 2025 conference website and CfP are now live! 2025.emnlp.org/calls/main-c... Conference dates: November 5-9 in Suzhou, China Submissions will be through ARR, and this year's theme is Interdisciplinary Recontextualization of NLP

📢 The 7th Workshop on Narrative Understanding (WNU) will happen with #NAACL2025 and is open for submissions. 🌐: tinyurl.com/wnu25 Direct Submission: February 17 Pre-Reviewed (ARR) papers: March 10 Excited to organize this again and hope to see you in Albuquerque 🌵 early this May! #wnu2025 #NLProc

Narrative Understanding

This is the 7th iteration of the Narrative Understanding Workshop, which brings together an interdisciplinary group of researchers from AI, ML, NLP, Computer Vision and other related fields, as well a...

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In the early days of CS, reviewing loads were typically 20 papers. This required a much greater commitment from the reviewers, but results were much more consistent. For FOCS and STOC, reviewers read EVERY submission

Thanks @mohitbansal.bsky.social for the wonderful Distinguished Lecture on agents and multimodal generation. This got so many of us here at Stony Brook excited for the potential in these areas. Also, thanks for spending time with our students & sharing your wisdom. It was a pleasure hosting you!

Niranjan@niranjanb.bsky.social · 2y ago

Excited to host the wonderful @mohitbansal.bsky.social as part of Stony Brook CS Distinguished Lecture Series on Dec 6th. Looking forward to hearing about his team's fantastic work on Planning Agents for Collaborative Reasoning and Multimodal Generation. More here: tinyurl.com/jkmex3e9

A flyer announcing that Professor Mohit Bansal from the University of North Carolina Chapel Hill will present a Distinguished Lecture on Planning Agents for Collaborative Reasoning and Multimodal Generation at 2:30 PM in the New Computer Science Room 120 on Dec 6th 2024. The flyer also has a head shot of Mohit Bansal.

Looking forward to giving this Distinguished Lecture at StonyBrook next week & meeting the several awesome NLP + CV folks there - thanks Niranjan‬ + all for the kind invitation 🙂 PS. Excited to give a new talk on "Planning Agents for Collaborative Reasoning and Multimodal Generation" ➡️➡️ 🧵👇

Niranjan@niranjanb.bsky.social · 2y ago

Excited to host the wonderful @mohitbansal.bsky.social as part of Stony Brook CS Distinguished Lecture Series on Dec 6th. Looking forward to hearing about his team's fantastic work on Planning Agents for Collaborative Reasoning and Multimodal Generation. More here: tinyurl.com/jkmex3e9

A flyer announcing that Professor Mohit Bansal from the University of North Carolina Chapel Hill will present a Distinguished Lecture on Planning Agents for Collaborative Reasoning and Multimodal Generation at 2:30 PM in the New Computer Science Room 120 on Dec 6th 2024. The flyer also has a head shot of Mohit Bansal.

Lots of posts about LLMs trivially generating websites. How do I prompt them to generate a full (static) website with CSS and JS too? The HTML is fine but I can't fix (a lot of) issues in the generated CSS and JS. I feel like we still need domain expertise to make sure these things work 😅

The question that a reviewer should ask themselves is: Does this paper take a gradient step in a promising direction? Is the community better off with this paper published? If the answer is yes, then the recommendation should be to accept.

A new paper, "Let Me Speak Freely" has been spreading rumors that structured generation hurts LLM evaluation performance. Well, we've taken a look and found serious issue in this paper, and shown, once again, that structured generation *improves* evaluation performance!

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I noticed a lot of starter packs skewed towards faculty/industry, so I made one of just NLP & ML students: go.bsky.app/vju2ux Students do different research, go on the job market, and recruit other students. Ping me and I'll add you!

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📢 Ultimate test of #NLP bluesky: I need emergency reviewers for NAACL submissions on encoders (one multilingual, one for sentence embeddings). Help a desperate editor abandoned by the ACs! Author response starts tomorrow, so that's a true emergency. If you're my hero, lmk your openreview profile.

Excited to release Tulu 3! We worked hard to try and make the best open post-training recipe we could, and the results are good! I was lucky enough to work on almost every stage of the pipeline in one way or another. Some comments + highlights ⬇️

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Meet Tülu 3, a set of state-of-the-art instruct models with fully open data, eval code, and training algorithms. We invented new methods for fine-tuning language models with RL and built upon best practices to scale synthetic instruction and preference data. Demo, GitHub, paper, and models 👇

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I've spent the last two years scouring all available resources on RLHF specifically and post training broadly. Today, with the help of a totally cracked team, we bring you the fruits of that labor — Tülu 3, an entirely open frontier model post training recipe. We beat Llama 3.1 Instruct. Thread.

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ICLR should not allow public discussion until after decisions. It allows Oscars-style award/accept campaigns by high-profile allies. Even for great papers, that can’t be part of the review process. The only reason it didn’t happen before is because it was against community norms, which are changing.