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20232026
most citedText-to-OverpassQL: A Natural Language Interface for Complex Geodata Querying of OpenStreetMap

11 citations · 11 across the 9 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

cs.CL2025

Hearing to Translate: The Effectiveness of Speech Modality Integration into LLMs

Sara Papi, Javier Garcia Gilabert, Zachary Hopton +8

As Large Language Models (LLMs) expand beyond text, integrating speech as a native modality has given rise to SpeechLLMs, which directly process spoken language and enable speech-t…

cs.CL2025

COMET-poly: Machine Translation Metric Grounded in Other Candidates

Maike Züfle, Vilém Zouhar, Tu Anh Dinh +3

Automated metrics for machine translation attempt to replicate human judgment. Unlike humans, who often assess a translation in the context of multiple alternatives, these metrics…

cs.CL2025

MCIF: Multimodal Crosslingual Instruction-Following Benchmark from Scientific Talks

Sara Papi, Maike Züfle, Marco Gaido +5

Recent advances in large language models have laid the foundation for multimodal LLMs (MLLMs), which unify text, speech, and vision within a single framework. As these models are r…

cs.CL2025

KIT's Offline Speech Translation and Instruction Following Submission for IWSLT 2025

Sai Koneru, Maike Züfle, Thai-Binh Nguyen +3

The scope of the International Workshop on Spoken Language Translation (IWSLT) has recently broadened beyond traditional Speech Translation (ST) to encompass a wider array of tasks…

cs.CL2025

NUTSHELL: A Dataset for Abstract Generation from Scientific Talks

Maike Züfle, Sara Papi, Beatrice Savoldi +3

Scientific communication is receiving increasing attention in natural language processing, especially to help researches access, summarize, and generate content. One emerging appli…

cs.CL2025

Early-Exit and Instant Confidence Translation Quality Estimation

Vilém Zouhar, Maike Züfle, Beni Egressy +3

Quality estimation is omnipresent in machine translation, for both evaluation and generation. Unfortunately, quality estimation models are often opaque and computationally expensiv…