4 citations · 8 across the 9 of their papers we have counts for
3 papers · 1 filter
V-DyKnow: A Dynamic Benchmark for Time-Sensitive Knowledge in Vision Language Models
Seyed Mahed Mousavi, Christian Moiola, Massimo Rizzoli +2
Vision-Language Models (VLMs) are trained on data snapshots of documents, including images and texts. Their training data and evaluation benchmarks are typically static, implicitly…
Getting to the Point: Pointing Improves LVLMs at Counting
Simone Alghisi, Massimo Rizzoli, Seyed Mahed Mousavi +1
Pointing-based methods decompose complex tasks as sequential grounding and reasoning steps. Given a query, the model first grounds the relevant objects by generating their coordina…
What Does Loss Optimization Actually Teach, If Anything? Knowledge Dynamics in Continual Pre-training of LLMs
Seyed Mahed Mousavi, Simone Alghisi, Giuseppe Riccardi
Continual Pre-Training (CPT) is widely used for acquiring and updating factual knowledge in LLMs. This practice treats loss as a proxy for knowledge learning, while offering no gro…