activity
20242026
collaborators

10 papers

cs.CV2026

Semantic-Guided Reading Order Reconstruction in Historical Armenian Newspapers with LLMs

Chahan Vidal-Gorène, Nadi Tomeh, Victoria Khurshudyan

This paper addresses reading order reconstruction in historical Armenian newspapers, which combine complex layouts with limited language resources. We introduce a new annotated dat…

cs.CL2026

Diffusion-MF: Approximate Structured Diffusion for Sequence Labelling

Nicolas Floquet, Joseph Le Roux, Nadi Tomeh

We introduce Diffusion-MF, a discrete diffu- sion sequence labeller that places a linear-chain conditional random field (LCRF) inside the denoising loop. Unlike prior diffusion lab…

cs.IR2026

A Voronoi Cell Formulation for Principled Token Pruning in Late-Interaction Retrieval Models

Yash Kankanampati, Yuxuan Zong, Nadi Tomeh +2

Late-interaction models such as ColBERT offer competitive performance across various retrieval tasks but require storing a dense embedding for each document token, leading to a sub…

cs.CL2026

ToMMeR -- Efficient Entity Mention Detection from Large Language Models

Victor Morand, Nadi Tomeh, Josiane Mothe +1

Identifying which text spans refer to entities - mention detection - is both foundational for information extraction and a known performance bottleneck. We introduce ToMMeR, a ligh…

cs.LG2026

Sparsity-Aware Evolution for Model Merging

Huan Zhang, Yanjian Zhang, Guillaume Wisniewski +2

We propose a sparsity-aware evolutionary (SAE) framework for model merging that involves iterative pruning-merging cycles to act as a novel mutation operator. We incorporate the sp…

cs.CL2025

Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize?

Yanjian Zhang, Guillaume Wisniewski, Nadi Tomeh +1

Human reasoning involves different strategies, each suited to specific problems. Prior work shows that large language model (LLMs) tend to favor a single reasoning strategy, potent…