Raj Dabre
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
62
Venues
15
Active years
2012–2026
Best venue rank
A*
Where they publish
Papers
62 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Scripts Through Time: A Survey of the Evolving Role of Transliteration in NLP. | Thanmay Jayakumar, Deepon Halder, Raj Dabre |
| 2026 | EACL | RiddleBench: A New Generative Reasoning Benchmark for LLMs. | Deepon Halder, Alan Saji, Thanmay Jayakumar, Anoop Kunchukuttan, Ratish Puduppully, Raj Dabre |
| 2026 | EACL | The Reasoning Lingua Franca: A Double-Edged Sword for Multilingual AI. | Alan Saji, Raj Dabre, Anoop Kunchukuttan, Ratish Puduppully |
| 2025 | ACL | Cross-Lingual Auto Evaluation for Assessing Multilingual LLMs. | Sumanth Doddapaneni, Mohammed Safi Ur Rahman Khan, Dilip Venkatesh, Raj Dabre, Anoop Kunchukuttan, Mitesh M. Khapra |
| 2025 | ACL | Limited-Resource Adapters Are Regularizers, Not Linguists. | Marcell Fekete, Nathaniel Romney Robinson, Ernests Lavrinovics, E. Djeride Jean-Baptiste, Raj Dabre, Johannes Bjerva, Heather C. Lent |
| 2025 | ACL | RomanLens: The Role Of Latent Romanization In Multilinguality In LLMs. | Alan Saji, Jaavid Aktar Husain, Thanmay Jayakumar, Raj Dabre, Anoop Kunchukuttan, Ratish Puduppully |
| 2025 | ACL | Towards Building Large Scale Datasets and State-of-the-Art Automatic Speech Translation Systems for 14 Indian Languages. | Ashwin Sankar, Sparsh Jain, Nikhil Narasimhan, Devilal Choudhary, Dhairya Suman, Mohammed Safi Ur Rahman Khan, Anoop Kunchukuttan, Mitesh M. Khapra, Raj Dabre |
| 2025 | COLING | PrahokBART: A Pre-trained Sequence-to-Sequence Model for Khmer Natural Language Generation. | Hour Kaing, Raj Dabre, Haiyue Song, Van-Hien Tran, Hideki Tanaka, Masao Utiyama |
| 2025 | COLING | Exploiting Word Sense Disambiguation in Large Language Models for Machine Translation. | Van-Hien Tran, Raj Dabre, Hour Kaing, Haiyue Song, Hideki Tanaka, Masao Utiyama |
| 2025 | EMNLP | Data and Model Centric Approaches for Expansion of Large Language Models to New languages. | Anoop Kunchukuttan, Raj Dabre, V. Rudra Murthy, Mohammed Safi Ur Rahman Khan, Thanmay Jayakumar |
| 2025 | EMNLP | CaMMT: Benchmarking Culturally Aware Multimodal Machine Translation. | Emilio Villa-Cueva, Sholpan Bolatzhanova, Diana Turmakhan, Kareem Elzeky, Henok Biadglign Ademtew, Alham Fikri Aji, Vladimir Araujo, Israel Abebe Azime, Jinheon Baek, Frederico Belcavello, Fermin Cristobal, Jan Christian Blaise Cruz, Mary Dabre, Raj Dabre, Toqeer Ehsan, Naome A. Etori, Fauzan Farooqui, Jiahui Geng, Guido Ivetta, Thanmay Jayakumar, Soyeong Jeong, Zheng Wei Lim, Aishik Mandal, Sofa Martinelli, Mihail Minkov Mihaylov, Daniil Orel, Aniket Pramanick, Sukannya Purkayastha, Israfel Salazar, Haiyue Song, Tiago Timponi Torrent, Debela Desalegn Yadeta, Injy Hamed, Atnafu Lambebo Tonja, Thamar Solorio |
| 2025 | ICCV | Tikzero: Zero-Shot Text-Guided Graphics Program Synthesis. | Jonas Belouadi, Eddy Ilg, Margret Keuper, Hideki Tanaka, Masao Utiyama, Raj Dabre, Steffen Eger, Simone Paolo Ponzetto |
| 2025 | IJCNLP | Mark My Words: A Robust Multilingual Model for Punctuation in Text and Speech Transcripts. | Sidharth Pulipaka, Ashwin Sankar, Raj Dabre |
| 2025 | IJCNLP | PRALEKHA: Cross-Lingual Document Alignment for Indic Languages. | Sanjay Suryanarayanan, Haiyue Song, Mohammed Safi Ur Rahman Khan, Anoop Kunchukuttan, Raj Dabre |
| 2025 | IJCNLP | Multilingual Iterative Model Pruning: What Matters? | Haryo Akbarianto Wibowo, Haiyue Song, Hideki Tanaka, Masao Utiyama, Alham Fikri Aji, Raj Dabre |
| 2025 | NAACL | Are Language Models Agnostic to Linguistically Grounded Perturbations? A Case Study of Indic Languages. | Poulami Ghosh, Raj Dabre, Pushpak Bhattacharyya |
| 2025 | NAACL | WorldCuisines: A Massive-Scale Benchmark for Multilingual and Multicultural Visual Question Answering on Global Cuisines. | Genta Indra Winata, Frederikus Hudi, Patrick Amadeus Irawan, David Anugraha, Rifki Afina Putri, Yutong Wang, Adam Nohejl, Ubaidillah Ariq Prathama, Nedjma Ousidhoum, Afifa Amriani, Anar Rzayev, Anirban Das, Ashmari Pramodya, Aulia Adila, Bryan Wilie, Candy Olivia Mawalim, Cheng Ching Lam, Daud Abolade, Emmanuele Chersoni, Enrico Santus, Fariz Ikhwantri, Garry Kuwanto, Hanyang Zhao, Haryo Akbarianto Wibowo, Holy Lovenia, Jan Christian Blaise Cruz, Jan Wira Gotama Putra, Junho Myung, Lucky Susanto, Maria Angelica Riera Machin, Marina Zhukova, Michael Anugraha, Muhammad Farid Adilazuarda, Natasha Christabelle Santosa, Peerat Limkonchotiwat, Raj Dabre, Rio Alexander Audino, Samuel Cahyawijaya, Shi-Xiong Zhang, Stephanie Yulia Salim, Yi Zhou, Yinxuan Gui, David Ifeoluwa Adelani, En-Shiun Annie Lee, Shogo Okada, Ayu Purwarianti, Alham Fikri Aji, Taro Watanabe, Derry Tanti Wijaya, Alice Oh, Chong-Wah Ngo |
| 2024 | ACL | An Empirical Study of In-context Learning in LLMs for Machine Translation. | Pranjal A. Chitale, Jay P. Gala, Raj Dabre |
| 2024 | ACL | RomanSetu: Efficiently unlocking multilingual capabilities of Large Language Models via Romanization. | Jaavid Aktar Husain, Raj Dabre, Aswanth M., Jay Gala, Thanmay Jayakumar, Ratish Puduppully, Anoop Kunchukuttan |
| 2024 | ACL | IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian Languages. | Mohammed Safi Ur Rahman Khan, Priyam Mehta, Ananth Sankar, Umashankar Kumaravelan, Sumanth Doddapaneni, Suriyaprasaad B, Varun Balan G, Sparsh Jain, Anoop Kunchukuttan, Pratyush Kumar, Raj Dabre, Mitesh M. Khapra |
| 2024 | ACL | How Good is Zero-Shot MT Evaluation for Low Resource Indian Languages? | Anushka Singh, Ananya Sai, Raj Dabre, Ratish Puduppully, Anoop Kunchukuttan, Mitesh M. Khapra |
| 2024 | ACL | PUB: A Pragmatics Understanding Benchmark for Assessing LLMs' Pragmatics Capabilities. | Settaluri Lakshmi Sravanthi, Meet Doshi, Pavan Tankala, V. Rudra Murthy, Raj Dabre, Pushpak Bhattacharyya |
| 2024 | AMTA | How Effective is Synthetic Data and Instruction Fine-tuning for Translation with Markup using LLMs? | Raj Dabre, Haiyue Song, Miriam Exel, Bianka Buschbeck, Johannes Eschbach-Dymanus, Hideki Tanaka |
| 2024 | COLING | NGLUEni: Benchmarking and Adapting Pretrained Language Models for Nguni Languages. | Francois Meyer, Haiyue Song, Abhisek Chakrabarty, Jan Buys, Raj Dabre, Hideki Tanaka |
| 2024 | COMAD | A Comprehensive Analysis of Adapter Efficiency. | Nandini Mundra, Sumanth Doddapaneni, Raj Dabre, Anoop Kunchukuttan, Ratish Puduppully, Mitesh M. Khapra |
| 2024 | EAMT | SubMerge: Merging Equivalent Subword Tokenizations for Subword Regularized Models in Neural Machine Translation. | Haiyue Song, Francois Meyer, Raj Dabre, Hideki Tanaka, Chenhui Chu, Sadao Kurohashi |
| 2024 | EMNLP | Pretraining Language Models Using Translationese. | Meet Doshi, Raj Dabre, Pushpak Bhattacharyya |
| 2024 | EMNLP | A Morphology-Based Investigation of Positional Encodings. | Poulami Ghosh, Shikhar Vashishth, Raj Dabre, Pushpak Bhattacharyya |
| 2024 | ICASSP | MOS-FAD: Improving Fake Audio Detection Via Automatic Mean Opinion Score Prediction. | Wangjin Zhou, Zhengdong Yang, Chenhui Chu, Sheng Li, Raj Dabre, Yi Zhao, Tatsuya Kawahara |
| 2024 | NAACL | Kreyl-MT: Building MT for Latin American, Caribbean and Colonial African Creole Languages. | Nathaniel R. Robinson, Raj Dabre, Ammon Shurtz, Rasul Dent, Onenamiyi Onesi, Claire Bizon Monroc, Loc Grobol, Hasan Muhammad, Ashi Garg, Naome A. Etori, Vijay Murari Tiyyala, Olanrewaju Samuel, Matthew Dean Stutzman, Bismarck Bamfo Odoom, Sanjeev Khudanpur, Stephen D. Richardson, Kenton Murray |
| 2023 | AAAI | SciCap+: A Knowledge Augmented Dataset to Study the Challenges of Scientific Figure Captioning. | Zhishen Yang, Raj Dabre, Hideki Tanaka, Naoaki Okazaki |
| 2023 | ACL | IndicMT Eval: A Dataset to Meta-Evaluate Machine Translation Metrics for Indian Languages. | Ananya B. Sai, Tanay Dixit, Vignesh Nagarajan, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra, Raj Dabre |
| 2023 | ACL | YANMTT: Yet Another Neural Machine Translation Toolkit. | Raj Dabre, Diptesh Kanojia, Chinmay Sawant, Eiichiro Sumita |
| 2023 | ACL | Robustness of Multi-Source MT to Transcription Errors. | Dominik Machcek, Peter Polak, Ondrej Bojar, Raj Dabre |
| 2023 | ACL | Exploring the Impact of Layer Normalization for Zero-shot Neural Machine Translation. | Zhuoyuan Mao, Raj Dabre, Qianying Liu, Haiyue Song, Chenhui Chu, Sadao Kurohashi |
| 2023 | EAMT | An Empirical Study of Leveraging Knowledge Distillation for Compressing Multilingual Neural Machine Translation Models. | Varun Gumma, Raj Dabre, Pratyush Kumar |
| 2023 | EMNLP | CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation. | Aswanth M., Ratish Puduppully, Raj Dabre, Anoop Kunchukuttan |
| 2023 | EMNLP | DecoMT: Decomposed Prompting for Machine Translation Between Related Languages using Large Language Models. | Ratish Puduppully, Anoop Kunchukuttan, Raj Dabre, Ai Ti Aw, Nancy Chen |
| 2022 | ACL | IndicBART: A Pre-trained Model for Indic Natural Language Generation. | Raj Dabre, Himani Shrotriya, Anoop Kunchukuttan, Ratish Puduppully, Mitesh M. Khapra, Pratyush Kumar |
| 2022 | COLING | FeatureBART: Feature Based Sequence-to-Sequence Pre-Training for Low-Resource NMT. | Abhisek Chakrabarty, Raj Dabre, Chenchen Ding, Hideki Tanaka, Masao Utiyama, Eiichiro Sumita |
| 2022 | EMNLP | IndicNLG Benchmark: Multilingual Datasets for Diverse NLG Tasks in Indic Languages. | Aman Kumar, Himani Shrotriya, Prachi Sahu, Amogh Mishra, Raj Dabre, Ratish Puduppully, Anoop Kunchukuttan, Mitesh M. Khapra, Pratyush Kumar |
| 2022 | IJCNLP | A Multilingual Multiway Evaluation Data Set for Structured Document Translation of Asian Languages. | Bianka Buschbeck, Raj Dabre, Miriam Exel, Matthias Huck, Patrick Huy, Raphael Rubino, Hideki Tanaka |
| 2022 | IJCNLP | KreolMorisienMT: A Dataset for Mauritian Creole Machine Translation. | Raj Dabre, Aneerav Sukhoo |
| 2022 | IJCNLP | BERTSeg: BERT Based Unsupervised Subword Segmentation for Neural Machine Translation. | Haiyue Song, Raj Dabre, Zhuoyuan Mao, Chenhui Chu, Sadao Kurohashi |
| 2022 | Interspeech | Fusion of Self-supervised Learned Models for MOS Prediction. | Zhengdong Yang, Wangjin Zhou, Chenhui Chu, Sheng Li, Raj Dabre, Raphael Rubino, Yi Zhao |
| 2022 | NAACL | When do Contrastive Word Alignments Improve Many-to-many Neural Machine Translation? | Zhuoyuan Mao, Chenhui Chu, Raj Dabre, Haiyue Song, Zhen Wan, Sadao Kurohashi |
| 2020 | ACL | Pre-training via Leveraging Assisting Languages for Neural Machine Translation. | Haiyue Song, Raj Dabre, Zhuoyuan Mao, Fei Cheng, Sadao Kurohashi, Eiichiro Sumita |
| 2020 | COLING | Improving Low-Resource NMT through Relevance Based Linguistic Features Incorporation. | Abhisek Chakrabarty, Raj Dabre, Chenchen Ding, Masao Utiyama, Eiichiro Sumita |
| 2020 | COLING | Multilingual Neural Machine Translation. | Raj Dabre, Chenhui Chu, Anoop Kunchukuttan |
| 2020 | COLING | Harnessing Cross-lingual Features to Improve Cognate Detection for Low-resource Languages. | Diptesh Kanojia, Raj Dabre, Shubham Dewangan, Pushpak Bhattacharyya, Gholamreza Haffari, Malhar Kulkarni |
| 2020 | LREC | JASS: Japanese-specific Sequence to Sequence Pre-training for Neural Machine Translation. | Zhuoyuan Mao, Fabien Cromiers, Raj Dabre, Haiyue Song, Sadao Kurohashi |
| 2020 | LREC | Coursera Corpus Mining and Multistage Fine-Tuning for Improving Lectures Translation. | Haiyue Song, Raj Dabre, Atsushi Fujita, Sadao Kurohashi |
| 2019 | AAAI | Recurrent Stacking of Layers for Compact Neural Machine Translation Models. | Raj Dabre, Atsushi Fujita |
| 2019 | EMNLP | Exploiting Multilingualism through Multistage Fine-Tuning for Low-Resource Neural Machine Translation. | Raj Dabre, Atsushi Fujita, Chenhui Chu |
| 2019 | Interspeech | Improving Transformer-Based Speech Recognition Systems with Compressed Structure and Speech Attributes Augmentation. | Sheng Li, Raj Dabre, Xugang Lu, Peng Shen, Tatsuya Kawahara, Hisashi Kawai |
| 2017 | ACL | An Empirical Comparison of Domain Adaptation Methods for Neural Machine Translation. | Chenhui Chu, Raj Dabre, Sadao Kurohashi |
| 2017 | IJCNLP | Neural Machine Translation: Basics, Practical Aspects and Recent Trends. | Fabien Cromiers, Toshiaki Nakazawa, Raj Dabre |
| 2017 | PACLIC | An Empirical Study of Language Relatedness for Transfer Learning in Neural Machine Translation. | Raj Dabre, Tetsuji Nakagawa, Hideto Kazawa |
| 2016 | LREC | Parallel Sentence Extraction from Comparable Corpora with Neural Network Features. | Chenhui Chu, Raj Dabre, Sadao Kurohashi |
| 2015 | NAACL | Leveraging Small Multilingual Corpora for SMT Using Many Pivot Languages. | Raj Dabre, Fabien Cromiers, Sadao Kurohashi, Pushpak Bhattacharyya |
| 2015 | PACLIC | Large-scale Dictionary Construction via Pivot-based Statistical Machine Translation with Significance Pruning and Neural Network Features. | Raj Dabre, Chenhui Chu, Fabien Cromiers, Toshiaki Nakazawa, Sadao Kurohashi |
| 2012 | COLING | Morphological Analyzer for Affix Stacking Languages: A Case Study of Marathi. | Raj Dabre, Archana Amberkar, Pushpak Bhattacharyya |