Paper-Conference

DecoderLens: Layerwise Interpretation of Encoder-Decoder Transformers
In recent years, several interpretability methods have been proposed to interpret the inner workings of Transformer models at different …
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Encoding of lexical tone in self-supervised models of spoken language
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IT5: Text-to-text Pretraining for Italian Language Understanding and Generation
We introduce IT5, the first family of encoder-decoder transformer models pretrained specifically on Italian. We document and perform a …
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MBBQ: A Dataset for Cross-Lingual Comparison of Stereotypes in Generative LLMs
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Quantifying the Plausibility of Context Reliance in Neural Machine Translation
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Automatic Text Simplification: A Comparative Study in Italian for Children with Language Disorders
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Endowing neural language learners with human-like biases: A case study on dependency length minimization
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Neural-agent Language Learning and Communication: Emergence of Dependency Length Minimization
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Cross-Lingual Consistency of Factual Knowledge in Multilingual Language Models
Multilingual large-scale Pretrained Language Models (PLMs) have been shown to store considerable amounts of factual knowledge, but …
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Wave to Syntax: Probing spoken language models for syntax
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