collaborators

9 papers

cs.CL2026

Seeing Through the MiRAGE: Evaluating Multimodal Retrieval Augmented Generation

Alexander Martin, William Walden, Reno Kriz +5

We introduce MiRAGE, an evaluation framework for retrieval-augmented generation (RAG) from multimodal sources. As audiovisual media becomes a prevalent source of information online…

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.CL2025

SocialNLI: A Dialogue-Centric Social Inference Dataset

Akhil Deo, Kate Sanders, Benjamin Van Durme

Making theory-of-mind inferences from human dialogue is a strong indicator of a model's underlying social abilities, which are fundamental for adept AI assistants. However, large l…

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…

cs.CL2025

Bonsai: Interpretable Tree-Adaptive Grounded Reasoning

Kate Sanders, Benjamin Van Durme

To develop general-purpose collaborative agents, humans need reliable AI systems that can (1) adapt to new domains and (2) transparently reason with uncertainty to allow for verifi…

cs.CL2025

CLAIMCHECK: How Grounded are LLM Critiques of Scientific Papers?

Jiefu Ou, William Gantt Walden, Kate Sanders +13

A core part of scientific peer review involves providing expert critiques that directly assess the scientific claims a paper makes. While it is now possible to automatically genera…