Text understanding and language tasks
This project enables the idea of tasking remote sensing models to acquire embeddings like we task satellites to acquire data! https://git...
I’ve been digging into AI security incident data from 2025 into this year, and it feels like something isn’t being talked about enough ou...
Hi all, I’m curious about the current review dynamics for ICML 2026, especially after the rebuttal phase. For those who are reviewers (or...
![[2602.18494] On the Dynamics of Observation and Semantics](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
The paper discusses the limitations of viewing semantics as static in visual intelligence, proposing a dynamic framework that integrates ...
A Reddit user is forming a research-focused Discord community for those interested in computational psycholinguistics, aiming to facilita...
The article discusses a novel approach to training data attribution in machine learning, utilizing interpretable vectors for faster and m...
The article introduces 3LM, a benchmark designed to evaluate Arabic LLMs in STEM and coding, addressing gaps in existing assessments focu...
A Senior AI & Automation Engineer with 5 years of experience is seeking remote roles or freelance contracts, specializing in ML systems a...
Particle's AI news app enhances news consumption by extracting key moments from podcasts, allowing users to access relevant audio clips a...
The article explores the challenges AI faces in parsing PDFs, highlighting the limitations of current models and the innovative solutions...
The article explores Chicago's extensive surveillance system, highlighting its implications for public safety and civil liberties, partic...
Wispr Flow has launched its AI dictation app for Android, completing its cross-platform expansion after previous releases on Mac, Windows...
Wispr Flow has launched its AI-powered dictation app for Android, enhancing user experience with a unique interface and faster performanc...
The article explores an experiment where an LLM was tasked with designing a Zero-Hallucination architecture, focusing on internal problem...
The paper introduces Online Smoothed Demand Management (OSDM), a framework for optimizing energy purchasing and delivery in data centers,...
The paper introduces CAIMAN, a reinforcement learning framework designed to enhance legged robots' capabilities in non-prehensile loco-ma...
This article discusses the limitations of using Fréchet Inception Distance (FID) as an evaluation metric for generative models in retinal...
This paper presents FT-Topic, a novel approach for topic modeling that fine-tunes large language models (LLMs) using bags of sentences, o...
This study explores how writing professionals perceive their relationships with generative AI, highlighting the balance between rivalry a...
The paper presents VILLAIN, a multimodal fact-checking system that verifies image-text claims through collaborative agents, achieving top...
The paper discusses a novel approach to improve Diffusion Language Models (DLMs) by introducing a 'sink token' that stabilizes attention ...
The paper presents GRXForm, a novel approach for molecular optimization using Group Relative Policy Optimization, addressing the limitati...
AWED-FiNER introduces an innovative tool for Fine-grained Named Entity Recognition (FgNER) across 36 languages, enhancing NLP capabilitie...
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