[P] Remote sensing foundation models made easy to use.
This project enables the idea of tasking remote sensing models to acquire embeddings like we task satellites to acquire data! https://git...
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...
This paper investigates the predominance of procedural questions in student interactions with LLM chatbots, analyzing data from various l...
The paper introduces SimVLA, a streamlined Vision-Language-Action baseline for robotic manipulation, achieving state-of-the-art performan...
Vichara is a framework designed to predict and explain appellate judgments in the Indian judicial system, leveraging AI to enhance legal ...
This article presents a dual-scale validation framework for assessing political position predictions in argumentative discourse, utilizin...
HyTRec introduces a Hybrid Temporal-Aware Attention architecture designed to enhance long behavior sequential recommendations, improving ...
The paper presents ELIA, an interactive web application designed to simplify the analysis of Large Language Models (LLMs) for non-experts...
The paper presents a novel method called Confidence-Driven Contrastive Decoding (CCD) aimed at improving the reasoning accuracy of large ...
This paper explores the generalization and robustness of Conditional Value-at-Risk (CVaR) in the context of heavy-tailed data, providing ...
CityGuard introduces a novel framework for privacy-preserving identity retrieval across urban surveillance cameras, addressing challenges...
ZACH-ViT introduces a novel Vision Transformer architecture tailored for medical imaging, enhancing performance by removing fixed spatial...
This paper presents a hybrid approach to detecting clickbait using large language models and informativeness measures, achieving a high F...
This article presents a novel co-design framework for optimizing end-effectors in robotics, specifically for manipulating deformable and ...
The paper presents an adversarial question-generation framework aimed at enhancing the performance of domain-specific large language mode...
DohaScript introduces a large-scale dataset for continuous handwritten Hindi text, addressing the lack of diverse and high-quality resour...
The paper introduces the Video Query Performance Prediction (VQPP) benchmark, addressing a gap in query performance prediction for video ...
This article presents a framework for operational certification in conformal predictors, focusing on trade-offs beyond mere coverage, and...
This paper explores the topological properties of high-dimensional empirical risk landscapes, focusing on phase retrieval applications an...
The paper introduces CLUTCH, a novel model for generating hand motions from text, leveraging a new dataset and advanced techniques to imp...
Aurora is a neuro-symbolic AI advising agent designed to enhance academic advising in higher education by providing timely, policy-compli...
CUICurate introduces a GraphRAG framework for automated curation of clinical concepts in NLP, enhancing efficiency and accuracy in clinic...
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