collaborators

5 papers

cs.LG2026

DuoMem: Towards Capable On-Device Memory Agents via Dual-Space Distillation

Peyman Hosseini, Ondrej Bohdal, Ahmed Alajrami +6

Large Language Model (LLM)-based agents can solve complex procedural tasks by interacting with environments over multiple turns, but this ability typically depends on large models,…

cs.CL2026

Decoding Text Spans for Efficient and Accurate Named-Entity Recognition

Andrea Maracani, Savas Ozkan, Junyi Zhu +2

Named Entity Recognition (NER) is a key component in industrial information extraction pipelines, where systems must satisfy strict latency and throughput constraints in addition t…

cs.CV2026

Geometrically Consistent Multi-View Scene Generation from Freehand Sketches

Ahmed Bourouis, Savas Ozkan, Andrea Maracani +2

We tackle a new problem: generating geometrically consistent multi-view scenes from a single freehand sketch. Freehand sketches are the most geometrically impoverished input one co…

cs.CL2025

Multi-Task Pre-Finetuning of Lightweight Transformer Encoders for Text Classification and NER

Junyi Zhu, Savas Ozkan, Andrea Maracani +3

Deploying natural language processing (NLP) models on mobile platforms requires models that can adapt across diverse applications while remaining efficient in memory and computatio…

cs.CV2025

Accurate Scene Text Recognition with Efficient Model Scaling and Cloze Self-Distillation

Andrea Maracani, Savas Ozkan, Sijun Cho +6

Scaling architectures have been proven effective for improving Scene Text Recognition (STR), but the individual contribution of vision encoder and text decoder scaling remain under…