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Rosetta at AlexandriaX-2026: LoRA-Adapted NileChat for Context-Aware Dialectal Arabic Dialogue Translation

Paper recorded by Signals 4 on 2026-09-09 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-09 on arXiv · recorded by Signals 4 on 2026-09-10

Category: cs.CL · 自然语言处理 · first seen 2026-09-10

Abstract

This paper describes the Rosetta system for Subtask 1 (Context-Aware English-to-Dialectal Arabic Dialogue Translation) of the AlexandriaX shared task, participating in both constrained and unconstrained tracks. The approach fine-tunes a LoRA adapter on NileChat-3B using structured system/user prompts that condition generation on dialect and dialogue context. For the unconstrained track, the adapte

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#81 most recent of 186 cs.CL papers we have recorded · ↑ newer: Retrofitting Code Using LLMs to Support Exceptional Behavior · ↓ older: Why Is Video Still So Expensive? A Survey of Inference-Efficiency Mech
Cite this page: Rosetta at AlexandriaX-2026: LoRA-Adapted NileChat for Context-Aware Dialectal Arabic Dialogue Translation: the #81 most recent of 186 cs.CL papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/rosetta-at-alexandriax-2026-lora-adapted-nilechat-for-context-aware-dialectal-ar.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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