TRACE-BN: Transferring Bangla-English Tutoring Behavior to a Sub-1B Offline Language Model

[2608.15223] TRACE-BN: Transferring Bangla-English Tutoring Behavior to a Sub-1B Offline Language Model Skip to main content Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Computer Science > Computation and Language arXiv:2608.15223 (cs) [Submitted on 15 Aug 2026] Title: TRACE-BN: Transferring Bangla-English Tutoring Behavior to a Sub-1B Offline Language Model Authors: Khan Raiyan Ibne Reza , Sanjana Aktar Maria , Mohammad Tushar Abdullah , Asfee Bhuiyan Leen , Sumaiya Tabassum Nimi View a PDF of the paper titled TRACE-BN: Transferring Bangla-English Tutoring Behavior to a Sub-1B Offline Language Model, by Khan Raiyan Ibne Reza and 4 other authors View PDF HTML (experimental) Abstract: Bangla-English tutoring requires more than producing a correct translation: learners also need explanations of grammar differences, awareness of their likely errors, and targeted practice. We present TRACE-BN, a curriculum-guided dataset of structured tutoring traces for Bangla-speaking learners of English at the CEFR A1-A2 level. Each trace combines word-level glosses, literal and natural translations, Bangla grammar explanations, a plausible learner error, and a targeted practice question with its answer. The traces are generated by Gemini 3.5 Flash Lite as the teacher model from NCTB Classes 9-10 English curriculum units, then filtered for structural validity, script integrity, and semantic duplication. We transfer the resulting structured tutoring behavior to Qwen3-0.6B using LoRA with 4-bit quantization for resource-constrained offline deployment. On held-out inputs, schema validity increases from 85.4% to 95.8%, while, against teacher-model references, chrF++ improves from 15.28 to 34.77 and BLEU from 4.52 to 21.03. Field-level evaluation by two independent judges shows improvements across translation, grammar explanation, learner-error diagnosis, and practice alignment, while a human audit supports the quality of the supervision data. The results show that curriculum-guided structured supervision can transfer multi-component tutoring behavior to a sub-1B model under these resource constraints. The dataset, model checkpoints, and code are publicly available at this https URL Subjects: Computation and Language (cs.CL) Cite as: arXiv:2608.15223 [cs.CL] (or arXiv:2608.15223v1 [cs.CL] for this version) https://doi.org/10.48550/arXiv.2608.15223 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Khan Raiyan Ibne Reza [ view email ] [v1] Sat, 15 Aug 2026 13:19:17 UTC (2,546 KB) Full-text links: Access Paper: View a PDF of the paper titled TRACE-BN: Transferring Bangla-English Tutoring Behavior to a Sub-1B Offline Language Model, by Khan Raiyan Ibne Reza and 4 other authors View PDF HTML (experimental) TeX Source view license Current browse context: cs.CL < prev | next > new | recent | 2026-08 Change to browse by: cs References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... 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