Improving Transliteration Accuracy Using Word-Origin Detection and Lexicon Lookup. - Mitesh M. Khapra; Pushpak Bhattacharyya (NEWS@IJCNLP, 2009)

Projecting Parameters for Multilingual Word Sense Disambiguation. - Mitesh M. Khapra; Sapan Shah; Piyush Kedia; Pushpak Bhattacharyya (EMNLP, 2009)

PR + RQ ALMOST EQUAL TO PQ: Transliteration Mining Using Bridge Language. - Mitesh M. Khapra; Raghavendra Udupa; A. Kumaran 001; Pushpak Bhattacharyya (AAAI, 2010)

All Words Domain Adapted WSD: Finding a Middle Ground between Supervision and Unsupervision. - Mitesh M. Khapra; Anup Kulkarni; Saurabh Sohoney; Pushpak Bhattacharyya (ACL, 2010)

Report of NEWS 2010 Transliteration Mining Shared Task. - A. Kumaran 001; Mitesh M. Khapra; Haizhou Li 001 (NEWS@ACL, 2010)

Whitepaper of NEWS 2010 Shared Task on Transliteration Mining. - A. Kumaran 001; Mitesh M. Khapra; Haizhou Li 001 (NEWS@ACL, 2010)

Verbs are where all the action lies: Experiences of Shallow Parsing of a Morphologically Rich Language. - Harshada Gune; Mugdha Bapat; Mitesh M. Khapra; Pushpak Bhattacharyya (COLING (Posters), 2010)

Value for Money: Balancing Annotation Effort, Lexicon Building and Accuracy for Multilingual WSD. - Mitesh M. Khapra; Saurabh Sohoney; Anup Kulkarni; Pushpak Bhattacharyya (COLING, 2010)

Transliteration Equivalence Using Canonical Correlation Analysis. - Raghavendra Udupa; Mitesh M. Khapra (ECIR, 2010)

Everybody loves a rich cousin: An empirical study of transliteration through bridge languages. - Mitesh M. Khapra; A. Kumaran 001; Pushpak Bhattacharyya (HLT-NAACL, 2010)

Improving the Multilingual User Experience of Wikipedia Using Cross-Language Name Search. - Raghavendra Udupa; Mitesh M. Khapra (HLT-NAACL, 2010)

CFILT: Resource Conscious Approaches for All-Words Domain Specific WSD. - Anup Kulkarni; Mitesh M. Khapra; Saurabh Sohoney; Pushpak Bhattacharyya (SemEval@ACL, 2010)

OWNS: Cross-lingual Word Sense Disambiguation Using Weighted Overlap Counts and Wordnet Based Similarity Measures. - Lipta Mahapatra; Meera Mohan; Mitesh M. Khapra; Pushpak Bhattacharyya (SemEval@ACL, 2010)

Compositional Machine Transliteration. - A. Kumaran 001; Mitesh M. Khapra; Pushpak Bhattacharyya (ACM Trans. Asian Lang. Inf. Process., 2010)

Together We Can: Bilingual Bootstrapping for WSD. - Mitesh M. Khapra; Salil Joshi 001; Arindam Chatterjee; Pushpak Bhattacharyya (ACL, 2011)

It Takes Two to Tango: A Bilingual Unsupervised Approach for Estimating Sense Distributions using Expectation Maximization. - Mitesh M. Khapra; Salil Joshi 001; Pushpak Bhattacharyya (IJCNLP, 2011)

I Can Sense It: a Comprehensive Online System for WSD. - Salil Joshi 001; Mitesh M. Khapra; Pushpak Bhattacharyya (COLING (Demos), 2012)

Whitepaper for Shared Task on Learning Reordering from Word Alignments at RSMT 2012. - Mitesh M. Khapra; Ananthakrishnan Ramanathan; Karthik Visweswariah (SMT@COLING, 2012)

Report of the Shared Task on Learning Reordering from Word Alignments at RSMT 2012. - Mitesh M. Khapra; Ananthakrishnan Ramanathan; Karthik Visweswariah (SMT@COLING, 2012)

Experiences in Resource Generation for Machine Translation through Crowdsourcing. - Anoop Kunchukuttan; Shourya Roy; Pratik Patel; Kushal Ladha; Somya Gupta; Mitesh M. Khapra; Pushpak Bhattacharyya (LREC, 2012)

Cut the noise: Mutually reinforcing reordering and alignments for improved machine translation. - Karthik Visweswariah; Mitesh M. Khapra; Ananthakrishnan Ramanathan (ACL (1), 2013)

Lost in Translation: Viability of Machine Translation for Cross Language Sentiment Analysis. - Balamurali A. R.; Mitesh M. Khapra; Pushpak Bhattacharyya (CICLing (2), 2013)

Improving reordering performance using higher order and structural features. - Mitesh M. Khapra; Ananthakrishnan Ramanathan; Karthik Visweswariah (HLT-NAACL, 2013)

Offering language based services on social media by identifying user's preferred language(s) from romanized text. - Mitesh M. Khapra; Salil Joshi 001; Ananthakrishnan Ramanathan; Karthik Visweswariah (WWW (Companion Volume), 2013)

Claims on demand - an initial demonstration of a system for automatic detection and polarity identification of context dependent claims in massive corpora. - Noam Slonim; Ehud Aharoni; Carlos Alzate; Roy Bar-Haim; Yonatan Bilu; Lena Dankin; Iris Eiron; Daniel Hershcovich; Shay Hummel; Mitesh M. Khapra; Tamar Lavee; Ran Levy 001; et al. (COLING (Demos), 2014)

When Transliteration Met Crowdsourcing : An Empirical Study of Transliteration via Crowdsourcing using Efficient, Non-redundant and Fair Quality Control. - Mitesh M. Khapra; Ananthakrishnan Ramanathan; Anoop Kunchukuttan; Karthik Visweswariah; Pushpak Bhattacharyya (LREC, 2014)

An Autoencoder Approach to Learning Bilingual Word Representations. - A. P. Sarath Chandar; Stanislas Lauly; Hugo Larochelle; Mitesh M. Khapra; Balaraman Ravindran; Vikas C. Raykar; Amrita Saha (NIPS, 2014)

Show Me Your Evidence - an Automatic Method for Context Dependent Evidence Detection. - Ruty Rinott; Lena Dankin; Carlos Alzate Perez; Mitesh M. Khapra; Ehud Aharoni; Noam Slonim (EMNLP, 2015)

ADAAPT: A Deep Architecture for Adaptive Policy Transfer from Multiple Sources. - Janarthanan Rajendran; P. Prasanna; Balaraman Ravindran; Mitesh M. Khapra (CoRR, 2015)

A Correlational Encoder Decoder Architecture for Pivot Based Sequence Generation. - Amrita Saha; Mitesh M. Khapra; Sarath Chandar; Janarthanan Rajendran; Kyunghyun Cho (COLING, 2016)

Substring-based unsupervised transliteration with phonetic and contextual knowledge. - Anoop Kunchukuttan; Pushpak Bhattacharyya; Mitesh M. Khapra (CoNLL, 2016)

Statistical Machine Translation between Related Languages. - Pushpak Bhattacharyya; Mitesh M. Khapra; Anoop Kunchukuttan (HLT-NAACL Tutorials, 2016)

Multilingual Multimodal Language Processing Using Neural Networks. - Mitesh M. Khapra; Sarath Chandar (HLT-NAACL Tutorials, 2016)

Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning. - Janarthanan Rajendran; Mitesh M. Khapra; Sarath Chandar; Balaraman Ravindran (HLT-NAACL, 2016)

Sharing Network Parameters for Crosslingual Named Entity Recognition. - Rudramurthy V; Mitesh M. Khapra; Pushpak Bhattacharyya (CoRR, 2016)

Correlational Neural Networks. - Sarath Chandar; Mitesh M. Khapra; Hugo Larochelle; Balaraman Ravindran (Neural Comput., 2016)

Diversity driven attention model for query-based abstractive summarization. - Preksha Nema; Mitesh M. Khapra; Anirban Laha; Balaraman Ravindran (ACL (1), 2017)

Generating Natural Language Question-Answer Pairs from a Knowledge Graph Using a RNN Based Question Generation Model. - Sathish Reddy; Dinesh Raghu; Mitesh M. Khapra; Sachindra Joshi (EACL (1), 2017)

Attend, Adapt and Transfer: Attentive Deep Architecture for Adaptive Transfer from multiple sources in the same domain. - Janarthanan Rajendran; Aravind S. Lakshminarayanan; Mitesh M. Khapra; P. Prasanna; Balaraman Ravindran (ICLR (Poster), 2017)

A Concept Driven Graph Based Approach for Estimating the Focus Time of a Document. - Shashank Shrivastava; Mitesh M. Khapra; Sutanu Chakraborti (MIKE, 2017)

Multimodal Dialogs (MMD): A large-scale dataset for studying multimodal domain-aware conversations. - Amrita Saha; Mitesh M. Khapra; Karthik Sankaranarayanan (CoRR, 2017)

Towards Building Large Scale Multimodal Domain-Aware Conversation Systems. - Amrita Saha; Mitesh M. Khapra; Karthik Sankaranarayanan (AAAI, 2018)

Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph. - Amrita Saha; Vardaan Pahuja; Mitesh M. Khapra; Karthik Sankaranarayanan; Sarath Chandar (AAAI, 2018)

DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension. - Amrita Saha; Rahul Aralikatte; Mitesh M. Khapra; Karthik Sankaranarayanan (ACL (1), 2018)

A Dataset for Building Code-Mixed Goal Oriented Conversation Systems. - Suman Banerjee 003; Nikita Moghe; Siddhartha Arora; Mitesh M. Khapra (COLING, 2018)

I Have Seen Enough: A Teacher Student Network for Video Classification Using Fewer Frames. - Shweta Bhardwaj; Mitesh M. Khapra (CVPR Workshops, 2018)

Towards Exploiting Background Knowledge for Building Conversation Systems. - Nikita Moghe; Siddhartha Arora; Suman Banerjee 003; Mitesh M. Khapra (EMNLP, 2018)

Towards a Better Metric for Evaluating Question Generation Systems. - Preksha Nema; Mitesh M. Khapra (EMNLP, 2018)

ElimiNet: A Model for Eliminating Options for Reading Comprehension with Multiple Choice Questions. - Soham Parikh; Ananya Sai; Preksha Nema; Mitesh M. Khapra (IJCAI, 2018)

A Mixed Hierarchical Attention Based Encoder-Decoder Approach for Standard Table Summarization. - Parag Jain; Anirban Laha; Karthik Sankaranarayanan; Preksha Nema; Mitesh M. Khapra; Shreyas Shetty (NAACL-HLT (2), 2018)

Generating Descriptions from Structured Data Using a Bifocal Attention Mechanism and Gated Orthogonalization. - Preksha Nema; Shreyas Shetty; Parag Jain; Anirban Laha; Karthik Sankaranarayanan; Mitesh M. Khapra (NAACL-HLT, 2018)

On Controllable Sparse Alternatives to Softmax. - Anirban Laha; Saneem Ahmed Chemmengath; Priyanka Agrawal; Mitesh M. Khapra; Karthik Sankaranarayanan; Harish G. Ramaswamy (NeurIPS, 2018)

Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks. - Deepak Mittal; Shweta Bhardwaj; Mitesh M. Khapra; Balaraman Ravindran (WACV, 2018)

Learning Disentangled Multimodal Representations for the Fashion Domain. - Amrita Saha; Megha Nawhal; Mitesh M. Khapra; Vikas C. Raykar (WACV, 2018)

HOPF: Higher Order Propagation Framework for Deep Collective Classification. - Priyesh Vijayan; Yash Chandak; Mitesh M. Khapra; Balaraman Ravindran (CoRR, 2018)

Fusion Graph Convolutional Networks. - Priyesh Vijayan; Yash Chandak; Mitesh M. Khapra; Balaraman Ravindran (CoRR, 2018)

A Question-Answering framework for plots using Deep learning. - Revanth Reddy; Rahul Ramesh; Ameet Deshpande; Mitesh M. Khapra (CoRR, 2018)

Leveraging Orthographic Similarity for Multilingual Neural Transliteration. - Anoop Kunchukuttan; Mitesh M. Khapra; Gurneet Singh; Pushpak Bhattacharyya (Trans. Assoc. Comput. Linguistics, 2018)

Re-Evaluating ADEM: A Deeper Look at Scoring Dialogue Responses. - Ananya B. Sai; Mithun Das Gupta; Mitesh M. Khapra; Mukundhan Srinivasan (AAAI, 2019)

Efficient Video Classification Using Fewer Frames. - Shweta Bhardwaj; Mukundhan Srinivasan; Mitesh M. Khapra (CVPR, 2019)

Let's Ask Again: Refine Network for Automatic Question Generation. - Preksha Nema; Akash Kumar Mohankumar; Mitesh M. Khapra; Balaji Vasan Srinivasan; Balaraman Ravindran (EMNLP/IJCNLP (1), 2019)

FigureNet : A Deep Learning model for Question-Answering on Scientific Plots. - Revanth Reddy; Rahul Ramesh; Ameet Deshpande; Mitesh M. Khapra (IJCNN, 2019)

On Knowledge distillation from complex networks for response prediction. - Siddhartha Arora; Mitesh M. Khapra; Harish G. Ramaswamy (NAACL-HLT (1), 2019)

Frustratingly Poor Performance of Reading Comprehension Models on Non-adversarial Examples. - Soham Parikh; Ananya B. Sai; Preksha Nema; Mitesh M. Khapra (CoRR, 2019)

Data Interpretation over Plots. - Nitesh Methani; Pritha Ganguly; Mitesh M. Khapra; Pratyush Kumar (CoRR, 2019)

Scene Graph based Image Retrieval - A case study on the CLEVR Dataset. - Sahana Ramnath; Amrita Saha; Soumen Chakrabarti; Mitesh M. Khapra (CoRR, 2019)

Studying the plasticity in deep convolutional neural networks using random pruning. - Deepak Mittal; Shweta Bhardwaj; Mitesh M. Khapra; Balaraman Ravindran (Mach. Vis. Appl., 2019)

Graph Convolutional Network with Sequential Attention for Goal-Oriented Dialogue Systems. - Suman Banerjee 003; Mitesh M. Khapra (Trans. Assoc. Comput. Linguistics, 2019)

Improving NER Tagging Performance in Low-Resource Languages via Multilingual Learning. - V. Rudra Murthy; Mitesh M. Khapra; Pushpak Bhattacharyya (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2019)

Towards Transparent and Explainable Attention Models. - Akash Kumar Mohankumar; Preksha Nema; Sharan Narasimhan; Mitesh M. Khapra; Balaji Vasan Srinivasan; Balaraman Ravindran (ACL, 2020)

Joint Transformer/RNN Architecture for Gesture Typing in Indic Languages. - Emil Biju; Anirudh Sriram; Mitesh M. Khapra; Pratyush Kumar (COLING, 2020)

On the weak link between importance and prunability of attention heads. - Aakriti Budhraja; Madhura Pande; Preksha Nema; Pratyush Kumar; Mitesh M. Khapra (EMNLP (1), 2020)

iNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian Languages. - Divyanshu Kakwani; Anoop Kunchukuttan; Satish Golla; Gokul N. C.; Avik Bhattacharyya; Mitesh M. Khapra; Pratyush Kumar (EMNLP (Findings), 2020)

Towards Interpreting BERT for Reading Comprehension Based QA. - Sahana Ramnath; Preksha Nema; Deep Sahni; Mitesh M. Khapra (EMNLP (1), 2020)

INCLUDE: A Large Scale Dataset for Indian Sign Language Recognition. - Advaith Sridhar; Rohith Gandhi Ganesan; Pratyush Kumar; Mitesh M. Khapra (ACM Multimedia, 2020)

PlotQA: Reasoning over Scientific Plots. - Nitesh Methani; Pritha Ganguly; Mitesh M. Khapra; Pratyush Kumar (WACV, 2020)

AI4Bharat-IndicNLP Corpus: Monolingual Corpora and Word Embeddings for Indic Languages. - Anoop Kunchukuttan; Divyanshu Kakwani; Satish Golla; Gokul N. C.; Avik Bhattacharyya; Mitesh M. Khapra; Pratyush Kumar (CoRR, 2020)

On Incorporating Structural Information to improve Dialogue Response Generation. - Nikita Moghe; Priyesh Vijayan; Balaraman Ravindran; Mitesh M. Khapra (CoRR, 2020)

On the Importance of Local Information in Transformer Based Models. - Madhura Pande; Aakriti Budhraja; Preksha Nema; Pratyush Kumar; Mitesh M. Khapra (CoRR, 2020)

Evaluating a Generative Adversarial Framework for Information Retrieval. - Ameet Deshpande; Mitesh M. Khapra (CoRR, 2020)

Improving Dialog Evaluation with a Multi-reference Adversarial Dataset and Large Scale Pretraining. - Ananya B. Sai; Akash Kumar Mohankumar; Siddhartha Arora; Mitesh M. Khapra (Trans. Assoc. Comput. Linguistics, 2020)

A Systematic Evaluation of Object Detection Networks for Scientific Plots. - Pritha Ganguly; Nitesh S. Methani; Mitesh M. Khapra; Pratyush Kumar (AAAI, 2021)

The Heads Hypothesis: A Unifying Statistical Approach Towards Understanding Multi-Headed Attention in BERT. - Madhura Pande; Aakriti Budhraja; Preksha Nema; Pratyush Kumar; Mitesh M. Khapra (AAAI, 2021)

A Joint Training Framework for Open-World Knowledge Graph Embeddings. - Karthik Visweswariah; Beethika Tripathi; Mitesh M. Khapra; Balaraman Ravindran (AKBC, 2021)

Perturbation CheckLists for Evaluating NLG Evaluation Metrics. - Ananya B. Sai; Tanay Dixit; Dev Yashpal Sheth; Sreyas Mohan; Mitesh M. Khapra (EMNLP (1), 2021)

Unsupervised Deep Video Denoising. - Dev Yashpal Sheth; Sreyas Mohan; Joshua L. Vincent; Ramon Manzorro; Peter A. Crozier; Mitesh M. Khapra; Eero P. Simoncelli; Carlos Fernandez-Granda (ICCV, 2021)

IndicBART: A Pre-trained Model for Natural Language Generation of Indic Languages. - Raj Dabre; Himani Shrotriya; Anoop Kunchukuttan; Ratish Puduppully; Mitesh M. Khapra; Pratyush Kumar (CoRR, 2021)

On the Prunability of Attention Heads in Multilingual BERT. - Aakriti Budhraja; Madhura Pande; Pratyush Kumar; Mitesh M. Khapra (CoRR, 2021)

A Framework for Rationale Extraction for Deep QA models. - Sahana Ramnath; Preksha Nema; Deep Sahni; Mitesh M. Khapra (CoRR, 2021)

Towards Building ASR Systems for the Next Billion Users. - Tahir Javed; Sumanth Doddapaneni; Abhigyan Raman; Kaushal Santosh Bhogale; Gowtham Ramesh; Anoop Kunchukuttan; Pratyush Kumar; Mitesh M. Khapra (AAAI, 2022)

Input-specific Attention Subnetworks for Adversarial Detection. - Emil Biju; Anirudh Sriram; Pratyush Kumar; Mitesh M. Khapra (ACL (Findings), 2022)

IndicBART: A Pre-trained Model for Indic Natural Language Generation. - Raj Dabre; Himani Shrotriya; Anoop Kunchukuttan; Ratish Puduppully; Mitesh M. Khapra; Pratyush Kumar (ACL (Findings), 2022)

Active Evaluation: Efficient NLG Evaluation with Few Pairwise Comparisons. - Akash Kumar Mohankumar; Mitesh M. Khapra (ACL (1), 2022)

OpenHands: Making Sign Language Recognition Accessible with Pose-based Pretrained Models across Languages. - Prem Selvaraj; Gokul N. C.; Pratyush Kumar; Mitesh M. Khapra (ACL (1), 2022)

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 (EMNLP, 2022)

Addressing Resource Scarcity across Sign Languages with Multilingual Pretraining and Unified-Vocabulary Datasets. - Gokul NC; Manideep Ladi; Sumit Negi; Prem Selvaraj; Pratyush Kumar; Mitesh M. Khapra (NeurIPS, 2022)

IndicNLG Suite: Multilingual Datasets for Diverse NLG Tasks in Indic Languages. - Aman Kumar; Himani Shrotriya; Prachi Sahu; Raj Dabre; Ratish Puduppully; Anoop Kunchukuttan; Amogh Mishra; Mitesh M. Khapra; Pratyush Kumar (CoRR, 2022)

A Survey in Adversarial Defences and Robustness in NLP. - Shreya Goyal; Sumanth Doddapaneni; Mitesh M. Khapra; Balaraman Ravindran (CoRR, 2022)

Aksharantar: Towards building open transliteration tools for the next billion users. - Yash Madhani; Sushane Parthan; Priyanka Bedekar; Ruchi Khapra; Vivek Seshadri; Anoop Kunchukuttan; Pratyush Kumar; Mitesh M. Khapra (CoRR, 2022)

IndicXTREME: A Multi-Task Benchmark For Evaluating Indic Languages. - Sumanth Doddapaneni; Rahul Aralikatte; Gowtham Ramesh; Shreya Goyal; Mitesh M. Khapra; Anoop Kunchukuttan; Pratyush Kumar (CoRR, 2022)

Scaling Graph Propagation Kernels for Predictive Learning. - Priyesh Vijayan; Yash Chandak; Mitesh M. Khapra; Srinivasan Parthasarathy 001; Balaraman Ravindran (Frontiers Big Data, 2022)

IndicSUPERB: A Speech Processing Universal Performance Benchmark for Indian Languages. - Tahir Javed; Kaushal Santosh Bhogale; Abhigyan Raman; Pratyush Kumar; Anoop Kunchukuttan; Mitesh M. Khapra (AAAI, 2023)

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 (ACL (1), 2023)

Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic Languages. - Sumanth Doddapaneni; Rahul Aralikatte; Gowtham Ramesh; Shreya Goyal; Mitesh M. Khapra; Anoop Kunchukuttan; Pratyush Kumar (ACL (1), 2023)

Bhasa-Abhijnaanam: Native-script and romanized Language Identification for 22 Indic languages. - Yash Madhani; Mitesh M. Khapra; Anoop Kunchukuttan (ACL (2), 2023)

Naamapadam: A Large-Scale Named Entity Annotated Data for Indic Languages. - Arnav Mhaske; Harshit Kedia; Sumanth Doddapaneni; Mitesh M. Khapra; Pratyush Kumar; V. Rudra Murthy; Anoop Kunchukuttan (ACL (1), 2023)

Aksharantar: Open Indic-language Transliteration datasets and models for the Next Billion Users. - Yash Madhani; Sushane Parthan; Priyanka Bedekar; Gokul NC; Ruchi Khapra; Anoop Kunchukuttan; Pratyush Kumar; Mitesh M. Khapra (EMNLP (Findings), 2023)

Effectiveness of Mining Audio and Text Pairs from Public Data for Improving ASR Systems for Low-Resource Languages. - Kaushal Santosh Bhogale; Abhigyan Raman; Tahir Javed; Sumanth Doddapaneni; Anoop Kunchukuttan; Pratyush Kumar; Mitesh M. Khapra (ICASSP, 2023)

Towards Building Text-to-Speech Systems for the Next Billion Users. - Gokul Karthik Kumar; Praveen S. V; Pratyush Kumar; Mitesh M. Khapra; Karthik Nandakumar (ICASSP, 2023)

Vistaar: Diverse Benchmarks and Training Sets for Indian Language ASR. - Kaushal Santosh Bhogale; Sai Sundaresan; Abhigyan Raman; Tahir Javed; Mitesh M. Khapra; Pratyush Kumar (INTERSPEECH, 2023)

Svarah: Evaluating English ASR Systems on Indian Accents. - Tahir Javed; Sakshi Joshi; Vignesh Nagarajan; Sai Sundaresan; Janki Nawale; Abhigyan Raman; Kaushal Santosh Bhogale; Pratyush Kumar; Mitesh M. Khapra (INTERSPEECH, 2023)

Bhasha-Abhijnaanam: Native-script and romanized Language Identification for 22 Indic languages. - Yash Madhani; Mitesh M. Khapra; Anoop Kunchukuttan (CoRR, 2023)

A Survey of Adversarial Defenses and Robustness in NLP. - Shreya Goyal; Sumanth Doddapaneni; Mitesh M. Khapra; Balaraman Ravindran (ACM Comput. Surv., 2023)

A Survey of Evaluation Metrics Used for NLG Systems. - Ananya B. Sai; Akash Kumar Mohankumar; Mitesh M. Khapra (ACM Comput. Surv., 2023)

IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages. - Jay P. Gala; Pranjal A. Chitale; Raghavan AK; Varun Gumma; Sumanth Doddapaneni; Aswanth Kumar M.; Janki Atul Nawale; Anupama Sujatha; Ratish Puduppully; Vivek Raghavan; Pratyush Kumar; Mitesh M. Khapra; et al. (Trans. Mach. Learn. Res., 2023)

IndicVoices: Towards building an Inclusive Multilingual Speech Dataset for Indian Languages. - Tahir Javed; Janki Nawale; Eldho Ittan George; Sakshi Joshi; Kaushal Santosh Bhogale; Deovrat Mehendale; Ishvinder Virender Sethi; Aparna Ananthanarayanan; Hafsah Faquih; Pratiti Palit; Sneha Ravishankar; Saranya Sukumaran; et al. (ACL (Findings), 2024)

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 (ACL (1), 2024)

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 (ACL (Short Papers), 2024)

A Comprehensive Analysis of Adapter Efficiency. - Nandini Mundra; Sumanth Doddapaneni; Raj Dabre; Anoop Kunchukuttan; Ratish Puduppully; Mitesh M. Khapra (COMAD/CODS, 2024)

Finding Blind Spots in Evaluator LLMs with Interpretable Checklists. - Sumanth Doddapaneni; Mohammed Safi Ur Rahman Khan; Sshubam Verma; Mitesh M. Khapra (EMNLP, 2024)

Enhancing Out-of-Vocabulary Performance of Indian TTS Systems for Practical Applications through Low-Effort Data Strategies. - Srija Anand; Praveen Srinivasa Varadhan; Ashwin Sankar; Giri Raju; Mitesh M. Khapra (INTERSPEECH, 2024)

Empowering Low-Resource Language ASR via Large-Scale Pseudo Labeling. - Kaushal Santosh Bhogale; Deovrat Mehendale; Niharika Parasa; Sathish Kumar Reddy G; Tahir Javed; Pratyush Kumar; Mitesh M. Khapra (INTERSPEECH, 2024)

LAHAJA: A Robust Multi-accent Benchmark for Evaluating Hindi ASR Systems. - Tahir Javed; Janki Nawale; Sakshi Joshi; Eldho Ittan George; Kaushal Santosh Bhogale; Deovrat Mehendale; Mitesh M. Khapra (INTERSPEECH, 2024)

Rasa: Building Expressive Speech Synthesis Systems for Indian Languages in Low-resource Settings. - Praveen Srinivasa Varadhan; Ashwin Sankar; Giri Raju; Mitesh M. Khapra (INTERSPEECH, 2024)

IndicVoices-R: Unlocking a Massive Multilingual Multi-speaker Speech Corpus for Scaling Indian TTS. - Ashwin Sankar; Srija Anand; Praveen Srinivasa Varadhan; Sherry Thomas; Mehak Singal; Shridhar Kumar; Deovrat Mehendale; Aditi Krishana; Giri Raju; Mitesh M. Khapra (NeurIPS, 2024)

An Empirical Analysis of In-context Learning Abilities of LLMs for MT. - Pranjal A. Chitale; Jay P. Gala; Varun Gumma; Mitesh M. Khapra; Raj Dabre (CoRR, 2024)

Airavata: Introducing Hindi Instruction-tuned LLM. - Jay P. Gala; Thanmay Jayakumar; Jaavid Aktar Husain; Aswanth Kumar M.; Mohammed Safi Ur Rahman Khan; Diptesh Kanojia; Ratish Puduppully; Mitesh M. Khapra; Raj Dabre; V. Rudra Murthy; Anoop Kunchukuttan (CoRR, 2024)

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 G; Varun Balan G; Sparsh Jain; Anoop Kunchukuttan; Pratyush Kumar; Raj Dabre; Mitesh M. Khapra (CoRR, 2024)

An Empirical Comparison of Vocabulary Expansion and Initialization Approaches for Language Models. - Nandini Mundra; Aditya Nanda Kishore; Raj Dabre; Ratish Puduppully; Anoop Kunchukuttan; Mitesh M. Khapra (CoRR, 2024)

ELAICHI: Enhancing Low-resource TTS by Addressing Infrequent and Low-frequency Character Bigrams. - Srija Anand; Praveen Srinivasa Varadhan; Mehak Singal; Mitesh M. Khapra (CoRR, 2024)

BhasaAnuvaad: A Speech Translation Dataset for 13 Indian Languages. - Sparsh Jain; Ashwin Sankar; Devilal Choudhary; Dhairya Suman; Nikhil Narasimhan; Mohammed Safi Ur Rahman Khan; Anoop Kunchukuttan; Mitesh M. Khapra; Raj Dabre (CoRR, 2024)

Pralekha: An Indic Document Alignment Evaluation Benchmark. - Sanjay Suryanarayanan; Haiyue Song; Mohammed Safi Ur Rahman Khan; Anoop Kunchukuttan; Mitesh M. Khapra; Raj Dabre (CoRR, 2024)

Cross-Lingual Auto Evaluation for Assessing Multilingual LLMs. - Sumanth Doddapaneni; Mohammed Safi Ur Rahman Khan; Dilip Venkatesh; Raj Dabre; Anoop Kunchukuttan; Mitesh M. Khapra (ACL (1), 2025)

Can Vision-Language Models Evaluate Handwritten Math? - Oikantik Nath; Hanani Bathina; Mohammed Safi Ur Rahman Khan; Mitesh M. Khapra (ACL (1), 2025)

FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes. - Janki Atul Nawale; Mohammed Safi Ur Rahman Khan; Janani D; Mansi Gupta; Danish Pruthi; Mitesh M. Khapra (ACL (1), 2025)

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 (ACL (1), 2025)

Towards Bringing Parity in Pretraining Datasets for Low-resource Indian Languages. - Kaushal Santosh Bhogale; Deovrat Mehendale; Tahir Javed; Devbrat Anuragi; Sakshi Joshi; Sai Sundaresan; Aparna Ananthanarayanan; Sharmistha Dey; Sathish Kumar Reddy G; Anusha Srinivasan; Abhigyan Raman; Pratyush Kumar; et al. (ICASSP, 2025)

Rethinking MUSHRA: Addressing Modern Challenges in Text-to-Speech Evaluation. - Praveen Srinivasa Varadhan; Amogh Gulati; Ashwin Sankar; Srija Anand; Anirudh Gupta; Anirudh Mukherjee; Shiva Kumar Marepally; Ankur Bhatia; Saloni Jaju; Suvrat Bhooshan; Mitesh M. Khapra (Trans. Mach. Learn. Res., 2025)

RASMALAI: Resources for Adaptive Speech Modeling in Indian Languages with Accents and Intonations. - Ashwin Sankar; Yoach Lacombe; Sherry Thomas; Praveen Srinivasa Varadhan; Sanchit Gandhi; Mitesh M. Khapra (CoRR, 2025)

Phir Hera Fairy: An English Fairytaler is a Strong Faker of Fluent Speech in Low-Resource Indian Languages. - Praveen Srinivasa Varadhan; Srija Anand; Soma Siddhartha; Mitesh M. Khapra (CoRR, 2025)

NIRANTAR: Continual Learning with New Languages and Domains on Real-world Speech Data. - Tahir Javed; Kaushal Santosh Bhogale; Mitesh M. Khapra (CoRR, 2025)

The State Of TTS: A Case Study with Human Fooling Rates. - Praveen Srinivasa Varadhan; Sherry Thomas; Sai Teja M. S.; Suvrat Bhooshan; Mitesh M. Khapra (CoRR, 2025)

A Primer on Pretrained Multilingual Language Models. - Sumanth Doddapaneni; Gowtham Ramesh; Mitesh M. Khapra; Anoop Kunchukuttan; Pratyush Kumar (ACM Comput. Surv., 2025)