Siva Reddy

@sivareddyg.bsky.social

Assistant Professor @Mila-Quebec.bsky.social Co-Director @McGill-NLP.bsky.social Researcher @ServiceNow.bsky.social Alumni: @StanfordNLP.bsky.social, EdinburghNLP Natural Language Processor #NLProc

Age doesn't matter to pick up new word usages. The pronunciation may sound odd across generations but not the semantics 👴👵👨👩

Dallas Card@dallascard.bsky.social · last yr.

I am delighted to share our new #PNAS paper, with @grvkamath.bsky.social @msonderegger.bsky.social and @sivareddyg.bsky.social, on whether age matters for the adoption of new meanings. That is, as words change meaning, does the rate of adoption vary across generations? www.pnas.org/doi/epdf/10....

Great work from labmates on LLMs vs humans regarding linguistic preferences: You know when a sentence kind of feels off e.g. "I met at the park the man". So in what ways do LLMs follow these human intuitions?

Mila - Institut québécois d'IA@mila-quebec.bsky.social · last yr.

Congratulations to Mila members @adadtur.bsky.social , Gaurav Kamath and @sivareddyg.bsky.social for their SAC award at NAACL! Check out Ada's talk in Session I: Oral/Poster 6. Paper: arxiv.org/abs/2502.05670

List of #SafetyGuaranteedLLMs talks on Monday Apr 14 2025 PDT. Speakers @rogergrosse.bsky.social Boaz Barak, Ethan Perez, Georgios Piliouras

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Siva Reddy@sivareddyg.bsky.social · last yr.

The most exciting event on LLM safety is happening this week at @simonsinstitute.bsky.social with many excellent speakers. Organized by @yoshuabengio.bsky.social et al. Join us in person or virtual. In collaboration with @ivado.bsky.social. More details here: simons.berkeley.edu/workshops/sa...

Never been part of a project like this before - it was a very rewarding+unique experience! Everyone in the lab contributed different chapters and it was much more exploratory than your average phd project. My chapter studied R1's reasoning on "image generation/editing" (via ASCII) 🧵👇 1/N

Sara Vera Marjanovic@saravera.bsky.social · last yr.

Models like DeepSeek-R1 🐋 mark a fundamental shift in how LLMs approach complex problems. In our preprint on R1 Thoughtology, we study R1’s reasoning chains across a variety of tasks; investigating its capabilities, limitations, and behaviour. 🔗: mcgill-nlp.github.io/thoughtology/

A circular diagram with a blue whale icon at the center. The diagram shows 8 interconnected research areas around LLM reasoning represented as colored rectangular boxes arranged in a circular pattern. The areas include: §3 Analysis of Reasoning Chains (central cloud), §4 Scaling of Thoughts (discussing thought length and performance metrics), §5 Long Context Evaluation (focusing on information recall), §6 Faithfulness to Context (examining question answering accuracy), §7 Safety Evaluation (assessing harmful content generation and jailbreak resistance), §8 Language & Culture (exploring moral reasoning and language effects), §9 Relation to Human Processing (comparing cognitive processes), §10 Visual Reasoning (covering ASCII generation capabilities), and §11 Following Token Budget (investigating direct prompting techniques). Arrows connect the sections in a clockwise flow, suggesting an iterative research methodology.

A bit of a mess around the conflict of COLM with the ARR (and to lesser degree ICML) reviews release. We feel this is creating a lot of pressure and uncertainty. So, we are pushing our deadlines: Abstracts due March 22 AoE (+48hr) Full papers due March 28 AoE (+24hr) Plz RT 🙏

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As someone who has tried to make even basic image editing work in my research (e.g. "move cup to left of table"): Gemini's new editing capabilities are seriously impressive! Playing around with it is quite fun... Edit 1: "edit the image to contain 3 more people"

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Finally it's handy that all my twitter posts got migrated here to bsky: I'll be presenting AURORA at @neuripsconf.bsky.social on Wednesday! Come by to discuss text-guided editing (and why imo it is more interesting than image generation), world modeling, evals and vision-and-language reasoning

Benno Krojer@bennokrojer.bsky.social · 2y ago

AURORA 🌌 is now accepted as a Spotlight at NeurIPS 🥂 We wondered if a model can do *controlled* video generation but in a *single* step? So we built a dataset+model for “taking actions” on images via editing, or what you could call single-step controlled video gen

Stages of #ICLR reviewing: Stage 1: 😍 I hope I learn something new Stage 2: 🤗 I hope I am constructive enough while being critical. Submits review Stage 3: 🤯 Receives 5 page response + revision with many new pages Stage 4: 😱 Crap, how do I get out of this? Stage 5: 😵‍💫 What year is it?