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20172026
most citedIndicBART: A Pre-trained Model for Indic Natural Language Generation

77 citations · 319 across the 61 of their papers we have counts for

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19 papers · 1 filter

cs.CL2024

Are Language Models Agnostic to Linguistically Grounded Perturbations? A Case Study of Indic Languages

Poulami Ghosh, Raj Dabre, Pushpak Bhattacharyya

Pre-trained language models (PLMs) are known to be susceptible to perturbations to the input text, but existing works do not explicitly focus on linguistically grounded attacks, wh…

cs.CL2024

Pralekha: Cross-Lingual Document Alignment for Indic Languages

Sanjay Suryanarayanan, Haiyue Song, Mohammed Safi Ur Rahman Khan +2

Mining parallel document pairs for document-level machine translation (MT) remains challenging due to the limitations of existing Cross-Lingual Document Alignment (CLDA) techniques…

cs.CL2024

Towards Building Large Scale Datasets and State-of-the-Art Automatic Speech Translation Systems for 14 Indian Languages

Ashwin Sankar, Sparsh Jain, Nikhil Narasimhan +6

Speech translation for Indian languages remains a challenging task due to the scarcity of large-scale, publicly available datasets that capture the linguistic diversity and domain…

cs.CL2024

Cross-Lingual Auto Evaluation for Assessing Multilingual LLMs

Sumanth Doddapaneni, Mohammed Safi Ur Rahman Khan, Dilip Venkatesh +3

Evaluating machine-generated text remains a significant challenge in NLP, especially for non-English languages. Current methodologies, including automated metrics, human assessment…

cs.CL2024★ 2 cited

WorldCuisines: A Massive-Scale Benchmark for Multilingual and Multicultural Visual Question Answering on Global Cuisines

Genta Indra Winata, Frederikus Hudi, Patrick Amadeus Irawan +48

Vision Language Models (VLMs) often struggle with culture-specific knowledge, particularly in languages other than English and in underrepresented cultural contexts. To evaluate th…

cs.CL2024★ 1 cited

An Empirical Comparison of Vocabulary Expansion and Initialization Approaches for Language Models

Nandini Mundra, Aditya Nanda Kishore, Raj Dabre +3

Language Models (LMs) excel in natural language processing tasks for English but show reduced performance in most other languages. This problem is commonly tackled by continually p…