Leena Mathur retweeted
when my students started writing papers with titles like "can language models reason?" I would often object and say, you're not actually making a claim about language models as a class, but about three specific language models that are available to you at this point in time. I gave up at some point but should have insisted.
How long does a finding about LLMs stay true?
We re-tested 50 widely cited findings about LLM behavior (various biases, hallucination, etc). Within 15 months, most no longer held or had substantially reduced effects.
LLM findings has short shelf life zou-group.github.io/llm-clai…
Great job by @oq_35!
Leena Mathur retweeted
Come be my colleague at BU CS & CDS! I've personally invested a lot of my time here at BU towards building a community for language & computation, and I think it's been working out pretty well so far with a lot of interesting people in this area :) Actual job ads below 👇
Leena Mathur retweeted
I'm on the industry job market this year!
I'm a PhD student at CMU LTI. My work spans post-training, evals, alignment and multimodality!
Please reach out (DM) if you are hiring and think I'd be a good fit, I'd love to chat :)
Website: simran-khanuja.github.io/
CV: simran-khanuja.github.io/ass…
Leena Mathur retweeted
The greatest KPI for NASA is the number of kids dressing up as astronauts for Halloween.
Leena Mathur retweeted
Good slides are extremely intentional. When someone presents a paper, the paper already has all the information. But the speaker would make deliberate choices about things like, what to say and what not to say, what to put on a slide and what to say only verbally.
What to frame as a "side note" and when to say "this is the part I found particularly exciting."
Even individual word choices, like the subject, verb, and adjective, and when to pause, are intentional.
In fact, a good speaker would never really give a talk about a paper, even when that's seemingly what they're doing.
They would talk about what they want to say, like the story they want to tell, the kind of research they like, the vision they have, etc. Then they use the paper to support / back up their message.
Some tools are perfectly fine to use. But some skills take so much time and efforts, like years, and some tools proactively prevents learning them.
my hypothesis for why AI-generated slides for technical presentations are so awful:
people who don't have a lot of experience presenting think that to make a talk you just put all of the stuff you want to talk about on the slides, then you go through each slide and say the stuff the slide says.
how you're actually supposed to prepare a presentation: you decide what to say, write it out as a rough script, then put maybe 3% of the text on the slide, plus a bunch of visual aides (e.g. plots that only include data you're planning to discuss).
AI-generated presentations are mostly the former. they have a ton of stuff the presenter never mentions, and the stuff that is most useful for the presenter is absent or not highlighted. they include enough content for a presentation 10 times longer than the actual presentation is supposed to be.
maybe try doing it the other way: first write the script for what you actually want to say, and make sure you can say all of it in the time you have. then prompt the model to create the slides based on the script. ask it to use as little text a possible, and a minimalist visual style rather than the claude house style. you can thank me later (I accept both venmo and zelle).
Leena Mathur retweeted
I'm at #COLM2026 and on the academic job market this year! I'd love to chat about long context reasoning, distilling harness capabilities into architectural improvements, and better training methods for complex corpus tasks.
I'll be presenting work on Tuesday + Thursday ⬇️
Leena Mathur retweeted
Excited to announce our new center, Conceptual Research on Safe AI! We aim to develop new frameworks informed by the latest advances but with an eye towards the future. 2nd link has mailing list, LinkedIn, YouTube, postdoc position!
cs.cmu.edu/~coresafeai
cs.cmu.edu/~coresafeai/join.…
Leena Mathur retweeted
Keynote 2 at #EMNLP2026 begins at 15:15. Graham Neubig (@gneubig) takes the stage in ten minutes.
Leena Mathur retweeted
We didn’t build a glove and then bolt it onto a robot hand. We designed them together, so every joint you move in S1 has a real counterpart on the hand.
That’s what makes the data actually usable and the learning efficient.
More interesting stuff coming soon 👀
Leena Mathur retweeted
The glove and robot hand share the same joint arrangement. After calibration, each measured angle gives us a target for the corresponding robot joint.
Watch the knuckle, middle and tip joints move independently. We want to preserve that detail in the recording.
Leena Mathur retweeted
Gooooooood data
Leena Mathur retweeted
Discovering dexterity:
At home with my infant, and at Origami @origami_robotic ...
More tomorrow 👀
Leena Mathur retweeted
Some topics I'm looking forward to working on with my students below 🧵
The UT comp ling faculty (@jessyjli, @kanishkamisra, @kmahowald & myself) are looking for PhD students to join us! sites.utexas.edu/compling/ 🤘
We are an interdisciplinary group with interests across linguistics, cogsci and NLP. Apply by 12/1: liberalarts.utexas.edu/lingu…
Leena Mathur retweeted
The UT comp ling faculty (@jessyjli, @kanishkamisra, @kmahowald & myself) are looking for PhD students to join us! sites.utexas.edu/compling/ 🤘
We are an interdisciplinary group with interests across linguistics, cogsci and NLP. Apply by 12/1: liberalarts.utexas.edu/lingu…
Have a glimpse at this! Nice work, @AndrewDai and Elorian folks!
Roadster xitter.gq/i/broadcasts/1yKAPwNgg…
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