Find out in our new paper, which my colleague Ray Groshan will present at ACL!!
arxiv.org/abs/2506.03593
Find out in our new paper, which my colleague Ray Groshan will present at ACL!!
arxiv.org/abs/2506.03593
βLinguistically-motivatedβ techniques for data augmentation sounds good on paper, but is it worth the cost?
Excited to be presenting my work with @teaywright.bsky.social at #COLING2025 next week in Abu Dhabi! Find us in poster session 6/E on Jan 22nd (11 AM in the atrium).
Paper: arxiv.org/abs/2412.17427
Well isnβt the idea that the entire layer defines a high dimensional space, where each neuron is a dimension?
Thereβs no conspiracy to make tech products worse by AI in things, AI is just very immediately and clearly productivity enhancing to the people making tech products in a way that it isnβt necessarily to the people using them.
Randomly stumbled on an arxiv paper where im pretty sure the listed affiliations are false, what would you even get out of that?
Been reading a lot of old-school finite-state automata papers for a project
It is so refreshing to read an interesting, colorfully-written paper that isnβt hyperoptimized for reviewer preferences
Probably doesnβt help that there is effectively an online cult promoting all of this
I have very mixed feelings on the current era in techβI started a PhD because I thought LLMs were pretty cool, but I absolutely cannot stand the disingenuous hype, insane competitiveness, and slop features that have since come with them
Itβs interesting how they describe patches of bytes that are determined by changes in entropy, without making any reference to morphologyβ¦Zellig Harris did basically the same thing 50 years ago
Can RAG+LLM systems help boost small models for rare languages?
Find out in βBoosting the Capabilities of Compact Models in Low-Data Contexts with Large Language Models and Retrieval-Augmented Generationβ by Bhargav Shandilya and @alexispalmer.bsky.social
arxiv.org/abs/2410.00387
Also shout-out to the morphology reviewers!
Adding my love letter to
arxiv.org/pdf/2304.01315
Empirical Design in Reinforcement Learning
by
Andrew Patterson, Samuel Neumann, Martha White, Adam White
JMLR 25 (2024) 1-63
#ReinforcementLearning
These arenβt the heroes we deserve, but they are the heroes we need.
Iβm a big proponent of an accumulating reviewer score (complementary to h-index). I think people would absolutely care about optimizing it even with no concrete incentive.
I feel like reviewers often expect short papers to be long papers condensed into 4 pages. They should really be a venue to showcase focused and incremental work.
πββοΈ
Interested in ML open source? Thereβs a great list for you
Python typing is great until you want to use any package ever
Hi, unfortunately the pack is now full, however @datatherapist.bsky.social started a third one! go.bsky.app/CUuio7g
Hi, unfortunately the pack is now full, however @datatherapist.bsky.social started a third one! go.bsky.app/CUuio7g
Hi, unfortunately the pack is now full, however @datatherapist.bsky.social started a third one! go.bsky.app/CUuio7g
Hi, unfortunately the pack is now full, however @datatherapist.bsky.social started a third one! go.bsky.app/CUuio7g
Hi, unfortunately the pack is now full, however @datatherapist.bsky.social started a third one! go.bsky.app/CUuio7g
bsky.app/profile/mgin...
bsky.app/profile/mgin...
Just got ICL surgery (implantable lenses) and on one hand, modern medicine is incredible, but on the other hand seeing your eye get sliced open is terrifying
@adamwiemerslage.bsky.social maintains github.com/CUNY-CL/yoyo...
Arxiv should have a comment section
Hi, unfortunately the pack is now full, however @datatherapist.bsky.social started a third one! go.bsky.app/CUuio7g