--- title: "Workshop on Benchmarks, Harmonization, Annotation, and" description: "Workshop on Benchmarks, Harmonization, Annotation, and Standardization for Human-Centric AI in Indian Languages 2025 — accepted…" canonical: "https://research.elamur.ai/free/en/venues/bhasha/2025/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/bhasha/2025/) [home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [Workshop on Benchmarks, Harmonization…](https://md.research.elamur.ai/free/en/venues/bhasha/) / 2025 # Workshop on Benchmarks, Harmonization, Annotation, and Standardization for Human-Centric AI in Indian Languages 2025 — accepted papers Workshop on Benchmarks, Harmonization, Annotation, and Standardization for Human-Centric AI in Indian Languages 2025 is the 2025 edition of the Workshop on Benchmarks, Harmonization, Annotation, and Standardization for Human-Centric AI in Indian Languages, held in Mumbai, India, December 2025 (publisher: Association for Computational Linguistics). The ACL Anthology lists 18 papers of it; our library holds 2 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions. 📍 Mumbai, [India](https://md.research.elamur.ai/free/en/countries/india/) · 🗓 December 2025 [**18** papers in the proceedings](#all) · [**2** works in our library](https://md.research.elamur.ai/free/en/venues/bhasha/2025/#works) · [**0** citations of these works](https://md.research.elamur.ai/free/en/venues/bhasha/2025/#works) ## All accepted papers (18) The most cited first; 2 with our summary link to their page here, the others to the original. 1. **[AnciDev: A Dataset for High-Accuracy Handwritten Text Recognition of Ancient Devanagari Manuscripts ↗](https://aclanthology.org/2025.bhasha-1.8/)**Vriti Sharma, Rajat Verma, Rohit Saluja*2 citations* 2. **[Indian Grammatical Tradition-Inspired Universal Semantic Representation Bank (USR Bank 1.0) ↗](https://aclanthology.org/2025.bhasha-1.2/)**Soma Paul, Sukhada Sukhada, Bidisha Bhattacharjee et al.*1 citation* 3. **[A3-108 at BHASHA Task1: Asymmetric BPE configuration for Grammar Error Correction ↗](https://aclanthology.org/2025.bhasha-1.15/)**Saumitra Yadav, Manish Shrivastava 4. **[Accent Placement Models for Rigvedic Sanskrit Text ↗](https://aclanthology.org/2025.bhasha-1.11/)**Akhil Rajeev P, Annarao Kulkarni 5. **[Aligning Large Language Models to Low-Resource Languages through LLM-Based Selective Translation: A Systematic Study ↗](https://aclanthology.org/2025.bhasha-1.6/)**Rakesh Paul, Anusha Kamath, Kanishk Singla et al. 6. **[Auditing Political Bias in Text Generation by GPT-4 using Sociocultural and Demographic Personas: Case of Bengali Ethnolinguistic Communities ↗](https://aclanthology.org/2025.bhasha-1.3/)**Dipto Das, Syed Ishtiaque Ahmed, Shion Guha 7. **[Automatic Accent Restoration in Vedic Sanskrit with Neural Language Models ↗](https://aclanthology.org/2025.bhasha-1.7/)**Yuzuki Tsukagoshi, Ikki Ohmukai 8. **[BHRAM-IL: A Benchmark for Hallucination Recognition and Assessment in Multiple Indian Languages ↗](https://aclanthology.org/2025.bhasha-1.9/)**Hrishikesh Terdalkar, Kirtan Bhojani, Aryan Dongare et al. 9. **[Benchmarking Hindi LLMs: A New Suite of Datasets and a Comparative Analysis ↗](https://aclanthology.org/2025.bhasha-1.5/)**Anusha Kamath, Kanishk Singla, Rakesh Paul et al. 10. **[DLRG at BHASHA: Task 1 (IndicGEC): A Hybrid Neurosymbolic Approach for Tamil and Malayalam Grammatical Error Correction ↗](https://aclanthology.org/2025.bhasha-1.16/)**Akshay Ramesh, Ratnavel Rajalakshmi 11. **[Findings of the IndicGEC and IndicWG Shared Task at BHASHA 2025 ↗](https://aclanthology.org/2025.bhasha-1.12/)**Pramit Bhattacharyya, Karthika N J, Hrishikesh Terdalkar et al. 12. **[INDRA: Iterative Difficulty Refinement Attention for MCQ Difficulty Estimation for Indic Languages ↗](https://aclanthology.org/2025.bhasha-1.4/)**Manikandan Ravikiran, Rohit Saluja, Arnav Bhavsar 13. **[Multi-Feature Graph Convolution Network for Hindi OCR Verification ↗](https://aclanthology.org/2025.bhasha-1.1/)**Shikhar Dubey, Krish Mittal, Sourava Kumar Behera et al. 14. **[Mātṛkā: Multilingual Jailbreak Evaluation of Open-Source Large Language Models ↗](https://aclanthology.org/2025.bhasha-1.10/)**Murali Emani, Kashyap Manjusha R 15. **[Niyamika at BHASHA Task 1: Word-Level Transliteration for English-Hindi Mixed Text in Grammar Correction Using MT5](https://md.research.elamur.ai/free/en/papers/ambaliya-2025-niyamika-bhasha-task-1-word/)**Rucha Ambaliya, Mahika Dugar, Pruthwik Mishra*our summary* 16. **[Team Horizon at BHASHA Task 1: Multilingual IndicGEC with Transformer-based Grammatical Error Correction Models ↗](https://aclanthology.org/2025.bhasha-1.14/)**Manav Dhamecha, Sunil Jaat, Gaurav Damor et al. 17. **[Team Horizon at BHASHA Task 2: Fine-tuning Multilingual Transformers for Indic Word Grouping ↗](https://aclanthology.org/2025.bhasha-1.18/)**Manav Dhamecha, Gaurav Damor, Sunil Jaat et al. 18. **[akhilrajeevp at BHASHA Task 1: Minimal-Edit Instruction Tuning for Low-Resource Indic GEC ↗](https://aclanthology.org/2025.bhasha-1.17/)**Akhil Rajeev P ## Papers with our summary in our library (2) The most cited first (OpenAlex citations plus our library's). 1. **[Niyamika at BHASHA Task 1: Word-Level Transliteration for English-Hindi Mixed Text in Grammar Correction Using MT5](https://md.research.elamur.ai/free/en/papers/ambaliya-2025-niyamika-bhasha-task-1-word/) [Workshop on Benchmarks, Harmonization, Annotation, and Standardization for Human-Centric AI in Indian Languages](https://md.research.elamur.ai/free/en/venues/bhasha/)**Rucha Ambaliya, Mahika Dugar, Pruthwik Mishra*2025* 2. **[Proceedings of the 1st Workshop on Benchmarks, Harmonization, Annotation, and Standardization for Human-Centric AI in Indian Languages (BHASHA 2025)](https://md.research.elamur.ai/free/en/papers/bhattacharya-2025-proceedings-1st-workshop-benchmarks-harmonization/) [Workshop on Benchmarks, Harmonization, Annotation, and Standardization for Human-Centric AI in Indian Languages](https://md.research.elamur.ai/free/en/venues/bhasha/)**Arnab Bhattacharya, Pawan Goyal, Saptarshi Ghosh, et al.*2025* ## Top topics Topics of its works in our library, with the number of works on each. [Evaluation & benchmarks (1)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Grammatical error correction & learner language (1)](https://md.research.elamur.ai/free/en/topics/grammatical-error-correction/) · [English (1)](https://md.research.elamur.ai/free/en/topics/english/) ## Fields [Arts and Humanities (2)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (1)](https://md.research.elamur.ai/free/en/shelves/computer-science/) ## Top authors Authors with a page who published here most often: their works here, and the citations of those works. [🧑‍🔬**Arnab Bhattacharya**1 work here](https://md.research.elamur.ai/free/en/authors/arnab-bhattacharya/) · [🧑‍🔬**Kripabandhu Ghosh**1 work here](https://md.research.elamur.ai/free/en/authors/kripabandhu-ghosh/) · [🧑‍🔬**Pawan Goyal**1 work here](https://md.research.elamur.ai/free/en/authors/pawan-goyal/) · [🧑‍🔬**Pruthwik Mishra**1 work here](https://md.research.elamur.ai/free/en/authors/pruthwik-mishra/) · [🧑‍🔬**Saptarshi Ghosh**1 work here](https://md.research.elamur.ai/free/en/authors/saptarshi-ghosh/) ## Top institutions Institutions on the bylines of its works here, by the number of works. [🎓**Sardar Vallabhbhai National Institute of Technology Surat** Surat · India 1 work here](https://md.research.elamur.ai/free/en/universities/sardar-vallabhbhai-national-institute-of-technology-surat/) · [🎓**Indian Institute of Technology Kanpur** Kanpur · India 1 work here](https://md.research.elamur.ai/free/en/universities/indian-institute-of-technology-kanpur/) Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library. - [↑ back to Workshop on Benchmarks, Harmonization, Annotation, and Standardization for Human-Centric AI in Indian Languages](https://md.research.elamur.ai/free/en/venues/bhasha/)