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20232026
most citedAn In-depth Look at Gemini's Language Abilities

12 citations · 57 across the 32 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

cs.CV2025

Unsupervised Discovery of Long-Term Spatiotemporal Periodic Workflows in Human Activities

Fan Yang, Quanting Xie, Atsunori Moteki +5

Periodic human activities with implicit workflows are common in manufacturing, sports, and daily life. While short-term periodic activities -- characterized by simple structures an…

cs.CL2025

MERLIN: A Testbed for Multilingual Multimodal Entity Recognition and Linking

Sathyanarayanan Ramamoorthy, Vishwa Shah, Simran Khanuja +5

This paper introduces MERLIN, a novel testbed system for the task of Multilingual Multimodal Entity Linking. The created dataset includes BBC news article titles, paired with corre…

cs.CL2025

Midtraining Bridges Pretraining and Posttraining Distributions

Emmy Liu, Graham Neubig, Chenyan Xiong

Midtraining, the practice of mixing specialized data with more general pretraining data in an intermediate training phase, has become widespread in language model development, yet…

cs.CL2025

Grounding Multilingual Multimodal LLMs With Cultural Knowledge

Jean de Dieu Nyandwi, Yueqi Song, Simran Khanuja +1

Multimodal Large Language Models excel in high-resource settings, but often misinterpret long-tail cultural entities and underperform in low-resource languages. To address this gap…

cs.CV2025

CAIRe: Cultural Attribution of Images by Retrieval-Augmented Evaluation

Arnav Yayavaram, Siddharth Yayavaram, Simran Khanuja +2

As text-to-image models become increasingly prevalent, ensuring their equitable performance across diverse cultural contexts is critical. Efforts to mitigate cross-cultural biases…

cs.AI2025

FieldWorkArena: Agentic AI Benchmark for Real Field Work Tasks

Jun Takahashi, Atsunori Moteki, Akiyoshi Uchida +11

This paper introduces FieldWorkArena, a benchmark for agentic AI targeting real-world field work. With the recent increase in demand for agentic AI, they are built to detect and do…