DA-IICT Cross-lingual and Multilingual Corpora for Speaker Recognition. - Hemant A. Patil; Sunayana Sitaram; Esha Sharma (ICAPR, 2009)

What visual feedback should a reading tutor give children on their oral reading prosody? - Sunayana Sitaram; Jack Mostow; Yuanpeng Li 001; Anders Weinstein; David Yen; Joe Valeri (SLaTE, 2011)

Two methods for assessing oral reading prosody. - Minh Duong; Jack Mostow; Sunayana Sitaram (ACM Trans. Speech Lang. Process., 2011)

Mining Data from Project LISTEN's Reading Tutor to Analyze Development of Children's Oral Reading Prosody. - Sunayana Sitaram; Jack Mostow (FLAIRS, 2012)

A Hindi speech recognizer for an agricultural video search application. - Kalika Bali; Sunayana Sitaram; Sébastien Cuendet; Indrani Medhi (ACM DEV (3), 2013)

Bootstrapping Text-to-Speech for speech processing in languages without an orthography. - Sunayana Sitaram; Sukhada Palkar; Yun-Nung Chen; Alok Parlikar; Alan W. Black (ICASSP, 2013)

Text to speech in new languages without a standardized orthography. - Sunayana Sitaram; Gopala Krishna Anumanchipalli; Justin T. Chiu; Alok Parlikar; Alan W. Black (SSW, 2013)

Using articulatory features and inferred phonological segments in zero resource speech processing. - Pallavi Baljekar; Sunayana Sitaram; Prasanna Kumar Muthukumar; Alan W. Black (INTERSPEECH, 2015)

Using acoustics to improve pronunciation for synthesis of low resource languages. - Sunayana Sitaram; Serena Jeblee; Alan W. Black (INTERSPEECH, 2015)

Universal grapheme-based speech synthesis. - Sunayana Sitaram; Alok Parlikar; Gopala Krishna Anumanchipalli; Alan W. Black (INTERSPEECH, 2015)

Speech Synthesis of Code-Mixed Text. - Sunayana Sitaram; Alan W. Black (LREC, 2016)

Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning. - Yulia Tsvetkov; Sunayana Sitaram; Manaal Faruqui; Guillaume Lample; Patrick Littell; David R. Mortensen; Alan W. Black; Lori S. Levin; Chris Dyer (HLT-NAACL, 2016)

Experiments with Cross-lingual Systems for Synthesis of Code-Mixed Text. - Sunayana Sitaram; Sai Krishna Rallabandi; Shruti Rijhwani; Alan W. Black (SSW, 2016)

Open-Source Consumer-Grade Indic Text To Speech. - Andrew Wilkinson; Alok Parlikar; Sunayana Sitaram; Tim White; Alan W. Black; Suresh Bazaj (SSW, 2016)

Curriculum Design for Code-switching: Experiments with Language Identification and Language Modeling with Deep Neural Networks. - Monojit Choudhury; Kalika Bali; Sunayana Sitaram; Ashutosh Baheti (ICON, 2017)

Speech Synthesis for Mixed-Language Navigation Instructions. - Khyathi Raghavi Chandu; Sai Krishna Rallabandi; Sunayana Sitaram; Alan W. Black (INTERSPEECH, 2017)

Automatic Detection of Code-switching Style from Acoustics. - Sai Krishna Rallabandi; Sunayana Sitaram; Alan W. Black (CodeSwitch@ACL, 2018)

Phone Merging For Code-Switched Speech Recognition. - Sunit Sivasankaran; Brij Mohan Lal Srivastava; Sunayana Sitaram; Kalika Bali; Monojit Choudhury (CodeSwitch@ACL, 2018)

Language Modeling for Code-Mixing: The Role of Linguistic Theory based Synthetic Data. - Adithya Pratapa; Gayatri Bhat; Monojit Choudhury; Sunayana Sitaram; Sandipan Dandapat; Kalika Bali (ACL (1), 2018)

Word Embeddings for Code-Mixed Language Processing. - Adithya Pratapa; Monojit Choudhury; Sunayana Sitaram (EMNLP, 2018)

Effect of TTS Generated Audio on OOV Detection and Word Error Rate in ASR for Low-resource Languages. - Savitha Murthy; Dinkar Sitaram; Sunayana Sitaram (INTERSPEECH, 2018)

Homophone Identification and Merging for Code-switched Speech Recognition. - Brij Mohan Lal Srivastava; Sunayana Sitaram (INTERSPEECH, 2018)

Discovering Canonical Indian English Accents: A Crowdsourcing-based Approach. - Sunayana Sitaram; Varun Manjunath; Varun Bharadwaj; Monojit Choudhury; Kalika Bali; Michael Tjalve (LREC, 2018)

Interspeech 2018 Low Resource Automatic Speech Recognition Challenge for Indian Languages. - Brij Mohan Lal Srivastava; Sunayana Sitaram; Rupesh Kumar Mehta; Krishna Doss Mohan; Pallavi Matani; Sandeepkumar Satpal; Kalika Bali; Radhakrishnan Srikanth; Niranjan Nayak (SLTU, 2018)

Using Monolingual Speech Recognition for Spoken Term Detection in Code-switched Hindi-English Speech. - Sanket Shah; Sunayana Sitaram (ICDM Workshops, 2019)

A Survey of Code-switched Speech and Language Processing. - Sunayana Sitaram; Khyathi Raghavi Chandu; Sai Krishna Rallabandi; Alan W. Black (CoRR, 2019)

End-to-End ASR for Code-switched Hindi-English Speech. - Brij Mohan Lal Srivastava; Basil Abraham; Sunayana Sitaram; Rupesh K. Mehta; Preethi Jyothi (CoRR, 2019)

Unsung Challenges of Building and Deploying Language Technologies for Low Resource Language Communities. - Pratik Joshi; Christain Barnes; Sebastin Santy; Simran Khanuja; Sanket Shah; Anirudh Srinivasan; Satwik Bhattamishra; Sunayana Sitaram; Monojit Choudhury; Kalika Bali (CoRR, 2019)

A New Dataset for Natural Language Inference from Code-mixed Conversations. - Simran Khanuja; Sandipan Dandapat; Sunayana Sitaram; Monojit Choudhury (CodeSwitch@LREC, 2020)

GLUECoS: An Evaluation Benchmark for Code-Switched NLP. - Simran Khanuja; Sandipan Dandapat; Anirudh Srinivasan; Sunayana Sitaram; Monojit Choudhury (ACL, 2020)

Crowdsourcing Speech Data for Low-Resource Languages from Low-Income Workers. - Basil Abraham; Danish Goel; Divya Siddarth; Kalika Bali; Manu Chopra; Monojit Choudhury; Pratik Joshi; Preethi Jyothi; Sunayana Sitaram; Vivek Seshadri (LREC, 2020)

Learning to Recognize Code-switched Speech Without Forgetting Monolingual Speech Recognition. - Sanket Shah; Basil Abraham; Gurunath Reddy M; Sunayana Sitaram; Vikas Joshi (CoRR, 2020)

Learning not to Discriminate: Task Agnostic Learning for Improving Monolingual and Code-switched Speech Recognition. - Gurunath Reddy Madhumani; Sanket Shah; Basil Abraham; Vikas Joshi; Sunayana Sitaram (CoRR, 2020)

Cross-lingual and Multilingual Spoken Term Detection for Low-Resource Indian Languages. - Sanket Shah; Satarupa Guha; Simran Khanuja; Sunayana Sitaram (CoRR, 2020)

A Survey of Code-switching: Linguistic and Social Perspectives for Language Technologies. - A. Seza Dogruöz; Sunayana Sitaram; Barbara E. Bullock; Almeida Jacqueline Toribio (ACL/IJCNLP (1), 2021)

GCM: A Toolkit for Generating Synthetic Code-mixed Text. - Mohd Sanad Zaki Rizvi; Anirudh Srinivasan; Tanuja Ganu; Monojit Choudhury; Sunayana Sitaram (EACL (System Demonstrations), 2021)

On the Universality of Deep Contextual Language Models. - Shaily Bhatt; Poonam Goyal; Sandipan Dandapat; Monojit Choudhury; Sunayana Sitaram (ICON, 2021)

MUCS 2021: Multilingual and Code-Switching ASR Challenges for Low Resource Indian Languages. - Anuj Diwan; Rakesh Vaideeswaran; Sanket Shah; Ankita Singh; Srinivasa Raghavan K. M.; Shreya Khare; Vinit Unni; Saurabh Vyas; Akash Rajpuria; Chiranjeevi Yarra; Ashish R. Mittal; Prasanta Kumar Ghosh; et al. (Interspeech, 2021)

Multilingual and code-switching ASR challenges for low resource Indian languages. - Anuj Diwan; Rakesh Vaideeswaran; Sanket Shah; Ankita Singh; Srinivasa Raghavan K. M.; Shreya Khare; Vinit Unni; Saurabh Vyas; Akash Rajpuria; Chiranjeevi Yarra; Ashish R. Mittal; Prasanta Kumar Ghosh; et al. (CoRR, 2021)

Predicting the Performance of Multilingual NLP Models. - Anirudh Srinivasan; Sunayana Sitaram; Tanuja Ganu; Sandipan Dandapat; Kalika Bali; Monojit Choudhury (CoRR, 2021)

LITMUS Predictor: An AI Assistant for Building Reliable, High-Performing and Fair Multilingual NLP Systems. - Anirudh Srinivasan; Gauri Kholkar; Rahul Kejriwal; Tanuja Ganu; Sandipan Dandapat; Sunayana Sitaram; Balakrishnan Santhanam; Somak Aditya; Kalika Bali; Monojit Choudhury (AAAI, 2022)

On the Calibration of Massively Multilingual Language Models. - Kabir Ahuja; Sunayana Sitaram; Sandipan Dandapat; Monojit Choudhury (EMNLP, 2022)

Multilingual CheckList: Generation and Evaluation. - Karthikeyan K; Shaily Bhatt; Pankaj Singh; Somak Aditya; Sandipan Dandapat; Sunayana Sitaram; Monojit Choudhury (AACL/IJCNLP (Findings), 2022)

A Survey of Multilingual Models for Automatic Speech Recognition. - Hemant Yadav; Sunayana Sitaram (LREC, 2022)

Benchmarking Evaluation Metrics for Code-Switching Automatic Speech Recognition. - Injy Hamed; Amir Hussein; Oumnia Chellah; Shammur Absar Chowdhury; Hamdy Mubarak; Sunayana Sitaram; Nizar Habash; Ahmed Ali 002 (SLT, 2022)

Beyond Static Models and Test Sets: Benchmarking the Potential of Pre-trained Models Across Tasks and Languages. - Kabir Ahuja; Sandipan Dandapat; Sunayana Sitaram; Monojit Choudhury (CoRR, 2022)

A Comparative Study on the Impact of Model Compression Techniques on Fairness in Language Models. - Krithika Ramesh; Arnav Chavan; Shrey Pandit; Sunayana Sitaram (ACL (1), 2023)

On Evaluating and Mitigating Gender Biases in Multilingual Settings. - Aniket Vashishtha; Kabir Ahuja; Sunayana Sitaram (ACL (Findings), 2023)

Everything you need to know about Multilingual LLMs: Towards fair, performant and reliable models for languages of the world. - Sunayana Sitaram; Monojit Choudhury; Barun Patra; Vishrav Chaudhary; Kabir Ahuja; Kalika Bali (ACL (tutorial), 2023)

Partial Rank Similarity Minimization Method for Quality MOS Prediction of Unseen Speech Synthesis Systems in Zero-Shot and Semi-Supervised Setting. - Hemant Yadav; Erica Cooper; Junichi Yamagishi; Sunayana Sitaram; Rajiv Ratn Shah (ASRU, 2023)

DiTTO: A Feature Representation Imitation Approach for Improving Cross-Lingual Transfer. - Shanu Kumar; Abbaraju Soujanya; Sandipan Dandapat; Sunayana Sitaram; Monojit Choudhury (EACL, 2023)

Fairness in Language Models Beyond English: Gaps and Challenges. - Krithika Ramesh; Sunayana Sitaram; Monojit Choudhury (EACL (Findings), 2023)

Performance and Risk Trade-offs for Multi-word Text Prediction at Scale. - Aniket Vashishtha; S. Sai Prasad; Payal Bajaj; Vishrav Chaudhary; Kate Cook; Sandipan Dandapat; Sunayana Sitaram; Monojit Choudhury (EACL (Findings), 2023)

MEGA: Multilingual Evaluation of Generative AI. - Kabir Ahuja; Harshita Diddee; Rishav Hada; Millicent Ochieng; Krithika Ramesh; Prachi Jain; Akshay Uttama Nambi; Tanuja Ganu; Sameer Segal; Mohamed Ahmed; Kalika Bali; Sunayana Sitaram (EMNLP, 2023)

Representativeness as a Forgotten Lesson for Multilingual and Code-switched Data Collection and Preparation. - A. Seza Dogruöz; Sunayana Sitaram; Zheng Xin Yong (EMNLP (Findings), 2023)

Analysing the Masked Predictive Coding Training Criterion for Pre-Training a Speech Representation Model. - Hemant Yadav; Sunayana Sitaram; Rajiv Ratn Shah (ICASSP, 2023)

MEGA: Multilingual Evaluation of Generative AI. - Kabir Ahuja; Rishav Hada; Millicent Ochieng; Prachi Jain; Harshita Diddee; Samuel C. Maina; Tanuja Ganu; Sameer Segal; Maxamed Axmed; Kalika Bali; Sunayana Sitaram (CoRR, 2023)

Breaking Language Barriers with a LEAP: Learning Strategies for Polyglot LLMs. - Akshay Uttama Nambi; Vaibhav Balloli; Mercy Prasanna Ranjit; Tanuja Ganu; Kabir Ahuja; Sunayana Sitaram; Kalika Bali (CoRR, 2023)

MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks. - Sanchit Ahuja; Divyanshu Aggarwal; Varun Gumma; Ishaan Watts; Ashutosh Sathe; Millicent Ochieng; Rishav Hada; Prachi Jain; Maxamed Axmed; Kalika Bali; Sunayana Sitaram (CoRR, 2023)

MAPLE: Multilingual Evaluation of Parameter Efficient Finetuning of Large Language Models. - Divyanshu Aggarwal; Ashutosh Sathe; Ishaan Watts; Sunayana Sitaram (ACL (Findings), 2024)

DOSA: A Dataset of Social Artifacts from Different Indian Geographical Subcultures. - Agrima Seth; Sanchit Ahuja; Kalika Bali; Sunayana Sitaram (LREC/COLING, 2024)

Are Large Language Model-based Evaluators the Solution to Scaling Up Multilingual Evaluation? - Rishav Hada; Varun Gumma; Adrian de Wynter; Harshita Diddee; Mohamed Ahmed; Monojit Choudhury; Kalika Bali; Sunayana Sitaram (EACL (Findings), 2024)

MAFIA: Multi-Adapter Fused Inclusive Language Models. - Prachi Jain; Ashutosh Sathe; Varun Gumma; Kabir Ahuja; Sunayana Sitaram (EACL (1), 2024)

Teaching LLMs to Abstain across Languages via Multilingual Feedback. - Shangbin Feng; Weijia Shi; Yike Wang 002; Wenxuan Ding 001; Orevaoghene Ahia; Shuyue Stella Li; Vidhisha Balachandran; Sunayana Sitaram; Yulia Tsvetkov (EMNLP, 2024)

Cultural Conditioning or Placebo? On the Effectiveness of Socio-Demographic Prompting. - Sagnik Mukherjee; Muhammad Farid Adilazuarda; Sunayana Sitaram; Kalika Bali; Alham Fikri Aji; Monojit Choudhury (EMNLP, 2024)

A Unified Framework and Dataset for Assessing Societal Bias in Vision-Language Models. - Ashutosh Sathe; Prachi Jain; Sunayana Sitaram (EMNLP (Findings), 2024)

M5 - A Diverse Benchmark to Assess the Performance of Large Multimodal Models Across Multilingual and Multicultural Vision-Language Tasks. - Florian Schneider; Sunayana Sitaram (EMNLP (Findings), 2024)

PARIKSHA: A Large-Scale Investigation of Human-LLM Evaluator Agreement on Multilingual and Multi-Cultural Data. - Ishaan Watts; Varun Gumma; Aditya Yadavalli; Vivek Seshadri; Manohar Swaminathan 001; Sunayana Sitaram (EMNLP, 2024)

MS-HuBERT: Mitigating Pre-training and Inference Mismatch in Masked Language Modelling methods for learning Speech Representations. - Hemant Yadav; Sunayana Sitaram; Rajiv Ratn Shah (INTERSPEECH, 2024)

MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks. - Sanchit Ahuja; Divyanshu Aggarwal; Varun Gumma; Ishaan Watts; Ashutosh Sathe; Millicent Ochieng; Rishav Hada; Prachi Jain; Mohamed Ahmed; Kalika Bali; Sunayana Sitaram (NAACL-HLT, 2024)

METAL: Towards Multilingual Meta-Evaluation. - Rishav Hada; Varun Gumma; Mohamed Ahmed; Kalika Bali; Sunayana Sitaram (NAACL-HLT (Findings), 2024)

CultureLLM: Incorporating Cultural Differences into Large Language Models. - Cheng Li; Mengzhuo Chen; Jindong Wang 001; Sunayana Sitaram; Xing Xie 001 (NeurIPS, 2024)

MAPLE: Multilingual Evaluation of Parameter Efficient Finetuning of Large Language Models. - Divyanshu Aggarwal; Ashutosh Sathe; Sunayana Sitaram (CoRR, 2024)

A Unified Framework and Dataset for Assessing Gender Bias in Vision-Language Models. - Ashutosh Sathe; Prachi Jain; Sunayana Sitaram (CoRR, 2024)

Private Benchmarking to Prevent Contamination and Improve Comparative Evaluation of LLMs. - Nishanth Chandran; Sunayana Sitaram; Divya Gupta 001; Rahul Sharma 001; Kashish Mittal; Manohar Swaminathan 001 (CoRR, 2024)

Bridging the Gap: Dynamic Learning Strategies for Improving Multilingual Performance in LLMs. - Somnath Kumar; Vaibhav Balloli; Mercy Ranjit; Kabir Ahuja; Tanuja Ganu; Sunayana Sitaram; Kalika Bali; Akshay Nambi 001 (CoRR, 2024)

Beyond Metrics: Evaluating LLMs' Effectiveness in Culturally Nuanced, Low-Resource Real-World Scenarios. - Millicent Ochieng; Varun Gumma; Sunayana Sitaram; Jindong Wang 001; Vishrav Chaudhary; Keshet Ronen; Kalika Bali; Jacki O'Neill (CoRR, 2024)

Improving Self Consistency in LLMs through Probabilistic Tokenization. - Ashutosh Sathe; Divyanshu Aggarwal; Sunayana Sitaram (CoRR, 2024)

sPhinX: Sample Efficient Multilingual Instruction Fine-Tuning Through N-shot Guided Prompting. - Sanchit Ahuja; Kumar Tanmay; Hardik Hansrajbhai Chauhan; Barun Patra; Kriti Aggarwal; Luciano Del Corro; Arindam Mitra; Tejas Indulal Dhamecha; Ahmed Awadallah 001; Monojit Choudhary; Vishrav Chaudhary; Sunayana Sitaram (CoRR, 2024)

Speech Representation Learning Revisited: The Necessity of Separate Learnable Parameters and Robust Data Augmentation. - Hemant Yadav; Sunayana Sitaram; Rajiv Ratn Shah (CoRR, 2024)

JOOCI: a Framework for Learning Comprehensive Speech Representations. - Hemant Yadav; Rajiv Ratn Shah; Sunayana Sitaram (CoRR, 2024)

HEALTH-PARIKSHA: Assessing RAG Models for Health Chatbots in Real-World Multilingual Settings. - Varun Gumma; Anandhita Raghunath; Mohit Jain; Sunayana Sitaram (CoRR, 2024)

Exploring Continual Fine-Tuning for Enhancing Language Ability in Large Language Model. - Divyanshu Aggarwal; Sankarshan Damle; Navin Goyal; Satya Lokam; Sunayana Sitaram (CoRR, 2024)

Exploring Pretraining via Active Forgetting for Improving Cross Lingual Transfer for Decoder Language Models. - Divyanshu Aggarwal; Ashutosh Sathe; Sunayana Sitaram (CoRR, 2024)

Contamination Report for Multilingual Benchmarks. - Sanchit Ahuja; Varun Gumma; Sunayana Sitaram (CoRR, 2024)

Bridging the Language Gap: Dynamic Learning Strategies for Improving Multilingual Performance in LLMs. - Somnath Kumar; Vaibhav Balloli; Mercy Ranjit; Kabir Ahuja; Sunayana Sitaram; Kalika Bali; Tanuja Ganu; Akshay Nambi 001 (COLING, 2025)

Improving Consistency in LLM Inference using Probabilistic Tokenization. - Ashutosh Sathe; Divyanshu Aggarwal; Sunayana Sitaram (NAACL (Findings), 2025)

Uncovering inequalities in new knowledge learning by large language models across different languages. - Chenglong Wang 004; Haoyu Tang; Xiyuan Yang; Yueqi Xie; Jina Suh; Sunayana Sitaram; Junming Huang 001; Yu Xie; Zhaoya Gong; Xing Xie 001; Fangzhao Wu (CoRR, 2025)

A Multilingual, Culture-First Approach to Addressing Misgendering in LLM Applications. - Sunayana Sitaram; Adrian de Wynter; Isobel McCrum; Qilong Gu; Si-Qing Chen (CoRR, 2025)

Fluent but Culturally Distant: Can Regional Training Teach Cultural Understanding? - Dhruv Agarwal 001; Anya Shukla; Sunayana Sitaram; Aditya Vashistha (CoRR, 2025)

How Deep Is Representational Bias in LLMs? The Cases of Caste and Religion. - Agrima Seth; Monojit Choudhary; Sunayana Sitaram; Kentaro Toyama; Aditya Vashistha; Kalika Bali (CoRR, 2025)