activity
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

collaborators

62 papers

cs.CL2026

Scripts Through Time: A Survey of the Evolving Role of Transliteration in NLP

Thanmay Jayakumar, Deepon Halder, Raj Dabre

Cross-lingual transfer in NLP is often hindered by the ``script barrier'' where differences in writing systems inhibit transfer learning between languages. Transliteration, the pro…

cs.CL2026

IndicIFEval: A Benchmark for Verifiable Instruction-Following Evaluation in 14 Indic Languages

Thanmay Jayakumar, Mohammed Safi Ur Rahman Khan, Raj Dabre +2

Instruction-following benchmarks remain predominantly English-centric, leaving a critical evaluation gap for the hundreds of millions of Indic language speakers. We introduce Indic…

cs.CL2025

PrahokBART: A Pre-trained Sequence-to-Sequence Model for Khmer Natural Language Generation

Hour Kaing, Raj Dabre, Haiyue Song +3

This work introduces {\it PrahokBART}, a compact pre-trained sequence-to-sequence model trained from scratch for Khmer using carefully curated Khmer and English corpora. We focus o…

cs.CL2025

The Reasoning Lingua Franca: A Double-Edged Sword for Multilingual AI

Alan Saji, Raj Dabre, Anoop Kunchukuttan +1

Large Reasoning Models (LRMs) achieve strong performance on mathematical, scientific, and other question-answering tasks, but their multilingual reasoning abilities remain underexp…

cs.CL2025

IndicRAGSuite: Large-Scale Datasets and a Benchmark for Indian Language RAG Systems

Pasunuti Prasanjith, Prathmesh B More, Anoop Kunchukuttan +1

Retrieval-Augmented Generation (RAG) systems enable language models to access relevant information and generate accurate, well-grounded, and contextually informed responses. Howeve…

cs.CL2025

Limited-Resource Adapters Are Regularizers, Not Linguists

Marcell Fekete, Nathaniel R. Robinson, Ernests Lavrinovics +4

Cross-lingual transfer from related high-resource languages is a well-established strategy to enhance low-resource language technologies. Prior work has shown that adapters show pr…