collaborators

9 papers

cs.AI2026

Agent Skill Framework: Perspectives on the Potential of Small to Medium Language Models in Industrial Environments

Yangjie Xu, Lujun Li, Lama Sleem +6

Agent skills are widely supported by major agentic frameworks and perform well with proprietary models, yet their effectiveness for small and medium-sized open source language mode…

cs.CV2026

The Last Visible Pixel: Probing Fine-Scale Perception in Vision-Language Models

Lujun Li, Lama Sleem, Niccolo Gentile +4

Recent vision-language models (VLMs) excel at multimodal understanding and reasoning, yet their fine-grained visual perception remains underexplored. A natural extension of ``How m…

cs.CL2026

Do Large Language Models Grasp The Grammar? Evidence from Grammar-Book-Guided Probing in Luxembourgish

Lujun Li, Yewei Song, Lama Sleem +7

Grammar refers to the system of rules that governs the structural organization and the semantic relations among linguistic units such as sentences, phrases, and words within a give…

cs.CR2025

NegBLEURT Forest: Leveraging Inconsistencies for Detecting Jailbreak Attacks

Lama Sleem, Jerome Francois, Lujun Li +3

Jailbreak attacks designed to bypass safety mechanisms pose a serious threat by prompting LLMs to generate harmful or inappropriate content, despite alignment with ethical guidelin…

cs.AI2025

Uncovering Zero-Shot Generalization Gaps in Time-Series Foundation Models Using Real-World Videos

Lujun Li, Lama Sleem, Yiqun Wang +3

Recent research on time-series foundation models (TSFMs) has underscored the scarcity of real-world data, often supplemented with synthetic sources in existing datasets, whose gene…

cs.CL2025

Shaping Explanations: Semantic Reward Modeling with Encoder-Only Transformers for GRPO

Francesco Pappone, Ruggero Marino Lazzaroni, Federico Califano +2

While Large Language Models (LLMs) excel at generating human-like text, aligning their outputs with complex, qualitative goals like pedagogical soundness remains a significant chal…