activity
20192026
most citedSimple-QE: Better Automatic Quality Estimation for Text Simplification

6 citations · 12 across the 18 of their papers we have counts for

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8 papers · 1 filter

cs.CV2026

Findings of the MAGMaR 2026 Shared Task

Alexander Martin, Dengjia Zhang, Joel Brogan +7

This overview paper presents the results of the shared task for the second workshop on Multimodal Augmented Generation via Multimodal Retrieval (MAGMaR). In this shared task partic…

cs.CV2026

Unified Multimodal Uncertain Inference

Dengjia Zhang, Alexander Martin, William Jurayj +3

We introduce Unified Multimodal Uncertain Inference (UMUI), a multimodal inference task spanning text, audio, and video, where models must produce calibrated probability estimates…

cs.CV2025

HLTCOE Evaluation Team at TREC 2025: VQA Track

Dengjia Zhang, Charles Weng, Katherine Guerrerio +5

The HLTCOE Evaluation team participated in TREC VQA's Answer Generation (AG) task, for which we developed a listwise learning framework that aims to improve semantic precision and…

cs.CV2025

WikiVideo: Article Generation from Multiple Videos

Alexander Martin, Reno Kriz, William Gantt Walden +5

We introduce the task of grounded article generation with the goal of creating a Wikipedia-style article from multiple diverse videos about real-world events -- from natural disast…

cs.CV2025

Video-ColBERT: Contextualized Late Interaction for Text-to-Video Retrieval

Arun Reddy, Alexander Martin, Eugene Yang +7

In this work, we tackle the problem of text-to-video retrieval (T2VR). Inspired by the success of late interaction techniques in text-document, text-image, and text-video retrieval…

cs.CV2025

MMMORRF: Multimodal Multilingual Modularized Reciprocal Rank Fusion

Saron Samuel, Dan DeGenaro, Jimena Guallar-Blasco +13

Videos inherently contain multiple modalities, including visual events, text overlays, sounds, and speech, all of which are important for retrieval. However, state-of-the-art multi…