Fine-Tuning LLMs for Translation: General Forgetting Mitigation Does Not Preserve MT-Specific Instruction Following

YesterdayReported by arXiv39

Fine-Tuning LLMs for Translation: General Forgetting Mitigation Does Not Preserve MT-Specific Instruction Following. It centres on Fine-tuning, and also names Benchmarks and Llama. Reported by arXiv. Bharat Hunt files it under AI Models and AI Research — the section covering a new or updated model, its capabilities, benchmarks or availability.

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Reported by arXiv

First seen yesterday

arXivFine-Tuning LLMs for Translation: General Forgetting Mitigation Does Not Preserve MT-Specific Instruction FollowingYesterdayNiklas Scholz

AI Models38

Learning the Cost of Reliable Inference

Learning the Cost of Reliable Inference. It centres on Inference, and also names Llama and Qwen. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.

arXivYesterday

AI Models38

Computation Over Geometry: Meaning Identity Is Computed, Not Shipped in the Embeddings

Computation Over Geometry: Meaning Identity Is Computed, Not Shipped in the Embeddings. It centres on RAG, and also names Mistral AI and Llama. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.

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Fine-Tuning LLMs for Translation: General Forgetting Mitigation Does Not Preserve MT-Specific Instruction Following

Companies, models and people in this story

Reported by arXiv

Learning the Cost of Reliable Inference

Computation Over Geometry: Meaning Identity Is Computed, Not Shipped in the Embeddings

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Reported by arXiv

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