--- title: "Still Loading@DravidianLangTech 2026: Telugu Prompt-Style" description: "The study offers a low-resource baseline for detecting pragmatic style in Dravidian languages, although absolute scores… 14 references." authors: ["Samonwita Sarker", "Isnat Mehrin Sami", "Priyontee Mojumder", "Arpita Mallik", "Hasan Murad"] year: 2026 venue: "Proceedings of the Sixth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages" source: "https://aclanthology.org/2026.dravidianlangtech-1.58/" doi: "10.18653/v1/2026.dravidianlangtech-1.58" licence: "CC BY 4.0 (ACL Anthology)" licence_url: "https://creativecommons.org/licenses/by/4.0/" summary_licence: "Elamur Cosmic License" canonical: "https://research.elamur.ai/free/en/papers/sarker-2026-still-loading-dravidianlangtech-2026-telugu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/sarker-2026-still-loading-dravidianlangtech-2026-telugu/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [2026](https://md.research.elamur.ai/free/en/papers/2026/page/43/) / Still Loading@DravidianLangTech 2026: Telugu Prompt-Style Recovery using Multilingual Transformers # Still Loading@DravidianLangTech 2026: Telugu Prompt-Style Recovery using Multilingual Transformers **Authors:** Samonwita Sarker, Isnat Mehrin Sami, Priyontee Mojumder, [Arpita Mallik](https://md.research.elamur.ai/free/en/authors/arpita-mallik/) and [Hasan Murad](https://md.research.elamur.ai/free/en/authors/hasan-murad/) · **Year:** 2026 · **Venue:** [Proceedings of the Sixth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages](https://md.research.elamur.ai/free/en/venues/dravidianlangtech/) ([Workshop on Speech, Vision, and Language Technologies for Dravidian Languages 2026](https://md.research.elamur.ai/free/en/venues/dravidianlangtech/2026/)) · **Publisher:** [Association for Computational Linguistics](https://md.research.elamur.ai/free/en/publishers/association-for-computational-linguistics/) · **Licence:** [CC BY 4.0 (ACL Anthology)](https://creativecommons.org/licenses/by/4.0/) **Links:** [Publisher's page](https://aclanthology.org/2026.dravidianlangtech-1.58/) · [PDF](https://aclanthology.org/2026.dravidianlangtech-1.58.pdf) · [DOI 10.18653/v1/2026.dravidianlangtech-1.58](https://doi.org/10.18653/v1/2026.dravidianlangtech-1.58) · [OpenAlex](https://openalex.org/W7166819828) **Citations:** 0 citations (OpenAlex, 2026-10-14) ## Summary This work addresses Telugu style classification in the Prompt-Style Recovery shared task at DravidianLangTech@ACL 2026. Each instance pairs an original transcript excerpt with a stylistically rewritten version. A system must determine which of nine target styles produced the rewrite. Listed alphabetically, these are Authoritative, Formal, Humorous, Informal, Inspiring, Optimistic, Persuasive, Pessimistic and Serious. The task is hard because the labelled set is small, several styles overlap, and Telugu combines agglutinative morphology with code-mixing. The Still Loading team fine-tuned MuRIL using a preprocessing step they call "Turbo Sandwich." It applies difflib word-level matching to find inserted or replaced tokens, then gives the encoder these edits plus nearby context rather than the full text. Training used Focal Loss (γ = 3) with square-root-dampened class weights. The submitted MuRIL system ranked 7th with Macro-F1 0.1703. After gold labels were released, IndicBERTv2 scored 0.3000 under identical settings, clearly ahead of MuRIL's 0.2072. Ablations show that diff-based input and focal loss each help. The study offers a low-resource baseline for detecting pragmatic style in Dravidian languages, although absolute scores remain modest. ## Key points - The dataset has 3,000 training, 300 development and 301 test samples, with nearly balanced classes (321–347 training instances per style). - MuRIL (google/muril-base-cased) was trained with max length 256, batch size 8, learning rate 4e-5, AdamW with a cosine schedule, 15 epochs and FP16. - Post-submission test-set Macro-F1 scores were: - IndicBERTv2: 0.3000 - mBERT: 0.2492 - MuRIL: 0.2072 - DistilBERT: 0.1287 - Despite the abstract framing MuRIL as the leading model, the post-submission results favour IndicBERTv2. - On the dev set, the plain-concatenation baseline with cross-entropy reached Macro-F1 0.1421. Turbo Sandwich with Focal Loss reached 0.1894 (+0.0473), the largest gain among the tested configurations. - In error analysis, Authoritative is frequently mislabelled as Formal because both use polite imperatives and honorific forms. Serious is often confused with Pessimistic. Validation loss plateaus around epoch 6, which suggests overfitting in later epochs. *Our summary of the paper, in our own words — not its text. The work belongs to its authors; read it at the links above.* ## Institutions - [Chittagong University of Engineering & Technology](https://md.research.elamur.ai/free/en/universities/chittagong-university-of-engineering-technology/) — University, Chittagong, Bangladesh · 25 works · 29 citations 📚 Shelves (4): [🖥️ Computer Science](https://md.research.elamur.ai/free/en/shelves/computer-science/) · 16,667 works · [🤖 Artificial Intelligence](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · 16,194 works · [🎭 Arts and Humanities](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · 16,039 works · [🗣️ Language and Linguistics](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · 15,891 works 🧭 Topics (1): [🌍 Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · 828 works ## Cite Cite as: Samonwita Sarker, Isnat Mehrin Sami, Priyontee Mojumder, Arpita Mallik and Hasan Murad. 2026. Still Loading@DravidianLangTech 2026: Telugu Prompt-Style Recovery using Multilingual Transformers. Proceedings of the Sixth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages. The paper itself, not this page. BibTeX from the library's record of the work. ```bibtex @inproceedings{sarker2026still, title = {{Still Loading@DravidianLangTech 2026: Telugu Prompt-Style Recovery using Multilingual Transformers}}, author = {Samonwita Sarker, Isnat Mehrin Sami, Priyontee Mojumder, Arpita Mallik and Hasan Murad}, booktitle = {Proceedings of the Sixth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages}, year = {2026}, doi = {10.18653/v1/2026.dravidianlangtech-1.58}, url = {https://doi.org/10.18653/v1/2026.dravidianlangtech-1.58} } ``` - [← previous SteuerLLM: Local specialized large language model for German tax law analysis](https://md.research.elamur.ai/free/en/papers/wind-2026-steuerllm-local-specialized-large-language/) - [next → Stop Fixating on Prompts: Reasoning Hijacking and Constraint Tightening for Red-Teaming LLM Agents](https://md.research.elamur.ai/free/en/papers/mao-2026-stop-fixating-prompts-reasoning-hijacking/) - [↑ back to papers of 2026](https://md.research.elamur.ai/free/en/papers/2026/page/43/) ## References 14 references, 7 of them with a card of ours. ↗ leads to the work, «find» searches for one we have no id for yet. 1. 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