I’m not an author of that paper though, only a careful proofreader.

I think you got it, and yes, I will do that after completing my current assignment (roughly the same type of contribution as the aforementioned paper).

It's on a niche topic, but I'd say it's (one of) the most canonical types of work on X.

And yes, I work on X, so it's clear what X is.

Are you really "Transactions of X"???

My student and her undergrad advisor submitted their very elegant work on X to "Transactions of X" and got desk-rejected, with the reason: "Your paper is very interesting and a very hardcore contribution to X, but we can't find appropriate reviewers, so we have to desk-reject it."

Excuse me???

One can do that at the non-AI conferences (e.g., ACL 😜) as well. Only one reviewer complained (cf. aclanthology.org/2025.acl-lon... actually no AI used in writing). @kanishka.bsky.social can verify as well 😇

Wow, learned about an even more impressive statement today: We are Sorry to inform you that you Didn’t Get the Honor for Voluntary Contribution because the speakers you invited (including yours truly) are Not Famous Enough.

You are the best.

haha you got it :)

We are Sorry to inform you that you Didn't Get the Honor for Voluntary Contribution because you onboarded Junior People.

We are Delighted to Congratulate you on the Honor of the Opportunity of Volunteering

At least I am :) I get mad when things start to be nonlinear.

Recent takes from this effort: Humans are largely linear animals, and we are so used to all kinds of linear structures, including doing tasks one by one.

Open PhD/Postdoc position (start: Oct 2026). Topic: AI/LLMs and child language/communicative/cognitive development. The exact project will be shaped with the candidate. Join our team @univ-amu.fr at the intersection of computer and cognitive science (& right next to the Calanques!). Send me your CV!

A ton of HCI/HAI research questions are going on here!

I've noticed a few times that the AI coding agents' output isn't perfectly aligned with what I wanted, and this usually comes from the underspecification in my instructions. So my workflow still forces AI to follow my coding style, and I'll chime in whenever I want.

I truly feel this AI-assisted development is something completely new. The key difference is the design philosophy: I also like Notion, for example, but I had to adapt myself to their design. Now the assistant bot and myself are doing "bidirectional alignment"---AI coding agents enable this.

My guess is they are probably running some sort of "business" helping others "build their profile for visa", by taking the duty, submitting sloppy reviews, and claiming that's done by others who need it to apply for the visa...

I'm quite happy with the experience so far, and my take is---semantic parsing in the wild is THE most important NLP task, and personalized prompting is already quite satisfying for simple tasks.
(2/2)

I've been enjoying developing a (safe & fairly reliable) personal assistant bot, partly motivated by some light experience trying OpenClaw. For safety, everything is run & saved locally. I can now manage my todo list, notebook, and calendar simply by speaking to my bot.
(1/)

As far as I can tell, the immigrant visas don't demand that many reviews. 20 is probably more than enough.

Interesting piece to read on how VLMs encode properties of objects!

🐻

That said, I also like the less intellectually exciting ones as they are solid analyses or methodological enhancements that work for realistic scenarios. It's even hard for me to "rank" them. I'm already prepared to see a reversed ranking from reviewers. (2/2)

I frankly don't think the ICML policy of having authors rank their papers will work. I have 3-5 submissions (depending on ICLR results) this time to quite different subcommunities. I know my favorite submissions could be quite controversial---people either like or dislike them a lot. (1/2)

Thrilled to announce the 1st Workshop on Computational Developmental Linguistics (CDL) at ACL 2026 🎉 A new venue at the intersection of development linguistics × modern NLP, spearheaded by @fredashi.bsky.social @marstin.bsky.social, and and outstanding team of colleagues!

A thread 🧵

(1) is "what AI is good at," and (2) is "what typical humans are bad at." But AI is not so good at *creatively* generating ideas that "make sense." Proposing such ideas is a task that does not match either criterion above, and is where human intelligence will keep shining.

2/2

AI coding is now the best at implementing things that are (1) either already standardized or not very ambiguous in their natural-language description, and (2) with many details.

Yes, I just vibe-coded a helper for some organizational matters, and will do more.
1/

Yeah I feel it’s indeed easier to have an okay statement with LLM draft, but its emphases are almost always off…