5 papers
NEST: Narrative Event Structures in Time for Long Video Understanding
Ali Asgarov, Kaushik Narasimhan, Najibul Haque Sarker +6
Recent progress in vision-language models has enabled the processing of increasingly long video sequences, but the ability to handle extended token streams does not translate to un…
SteerVLM: Robust Model Control through Lightweight Activation Steering for Vision Language Models
Anushka Sivakumar, Andrew Zhang, Zaber Hakim +1
This work introduces SteerVLM, a lightweight steering module designed to guide Vision-Language Models (VLMs) towards outputs that better adhere to desired instructions. Our approac…
Flexible-length Text Infilling for Discrete Diffusion Models
Andrew Zhang, Anushka Sivakumar, Chiawei Tang +1
Discrete diffusion models are a new class of text generators that offer advantages such as bidirectional context use, parallelizable generation, and flexible prompting compared to…
Maximal Matching Matters: Preventing Representation Collapse for Robust Cross-Modal Retrieval
Hani Alomari, Anushka Sivakumar, Andrew Zhang +1
Cross-modal image-text retrieval is challenging because of the diverse possible associations between content from different modalities. Traditional methods learn a single-vector em…
JourneyBench: A Challenging One-Stop Vision-Language Understanding Benchmark of Generated Images
Zhecan Wang, Junzhang Liu, Chia-Wei Tang +11
Existing vision-language understanding benchmarks largely consist of images of objects in their usual contexts. As a consequence, recent multimodal large language models can perfor…