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BOOM: Beyond Only One Modality KIT's Multimodal Multilingual Lecture Companion
Paper • 2512.02817 • Published • 2 -
Same Meaning, Different Scores: Lexical and Syntactic Sensitivity in LLM Evaluation
Paper • 2602.17316 • Published • 1 -
SimulU: Training-free Policy for Long-form Simultaneous Speech-to-Speech Translation
Paper • 2603.16924 • Published • 15 -
How to Evaluate Speech Translation with Source-Aware Neural MT Metrics
Paper • 2511.03295 • Published • 4
AI & ML interests
Multimodal foundation models. The science, technology and applications. Domains: language, medicine, environment.
Recent Activity
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Collection of external scientific material relevant to the project
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HuggingFaceFW/finetranslations
Viewer • Updated • 3.33B • 10.8k • 294 -
LLM-Inference-Bench: Inference Benchmarking of Large Language Models on AI Accelerators
Paper • 2411.00136 • Published -
The Illusion of Readiness in Health AI
Paper • 2509.18234 • Published • 1 -
The Roots of Performance Disparity in Multilingual Language Models: Intrinsic Modeling Difficulty or Design Choices?
Paper • 2601.07220 • Published
-
BOOM: Beyond Only One Modality KIT's Multimodal Multilingual Lecture Companion
Paper • 2512.02817 • Published • 2 -
Same Meaning, Different Scores: Lexical and Syntactic Sensitivity in LLM Evaluation
Paper • 2602.17316 • Published • 1 -
SimulU: Training-free Policy for Long-form Simultaneous Speech-to-Speech Translation
Paper • 2603.16924 • Published • 15 -
How to Evaluate Speech Translation with Source-Aware Neural MT Metrics
Paper • 2511.03295 • Published • 4
Collection of external scientific material relevant to the project
-
HuggingFaceFW/finetranslations
Viewer • Updated • 3.33B • 10.8k • 294 -
LLM-Inference-Bench: Inference Benchmarking of Large Language Models on AI Accelerators
Paper • 2411.00136 • Published -
The Illusion of Readiness in Health AI
Paper • 2509.18234 • Published • 1 -
The Roots of Performance Disparity in Multilingual Language Models: Intrinsic Modeling Difficulty or Design Choices?
Paper • 2601.07220 • Published
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