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Title: GitHub - inseq-team/inseq: Interpretability for sequence generation models πŸ› πŸ”

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X Title: GitHub - inseq-team/inseq: Interpretability for sequence generation models πŸ› πŸ”

Description: Interpretability for sequence generation models πŸ› πŸ” - inseq-team/inseq

Open Graph Description: Interpretability for sequence generation models πŸ› πŸ” - inseq-team/inseq

X Description: Interpretability for sequence generation models πŸ› πŸ” - inseq-team/inseq

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Are Character-level Translations Worth the Wait? Comparing ByT5 and mT5 for Machine Translationhttps://doi.org/10.1162/tacl_a_00651
Response Generation in Longitudinal Dialogues: Which Knowledge Representation Helps?https://aclanthology.org/2023.nlp4convai-1.1/
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Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generationhttps://arxiv.org/abs/2406.13663
NoNE Found: Explaining the Output of Sequence-to-Sequence Models When No Named Entity Is Recognizedhttps://link.springer.com/chapter/10.1007/978-3-031-63787-2_14
Reimagining Student Success Prediction: Applying LLMs in Educational AI with XAIhttps://dl.acm.org/doi/full/10.1145/3701268.3701274
Reinforcement Learning for Aligning Large Language Models Agents with Interactive Environments: Quantifying and Mitigating Prompt Overfittinghttps://aclanthology.org/2025.findings-naacl.390/
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