Mitesh M. Khapra

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 135

Top Venues

Publications

Srija Anand, Praveen Srinivasa Varadhan, Ashwin Sankar, Giri Raju, Mitesh M. Khapra
Enhancing Out-of-Vocabulary Performance of Indian TTS Systems for Practical Applications through Low-Effort Data Strategies. CoRR (2024)
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
Airavata: Introducing Hindi Instruction-tuned LLM. CoRR (2024)
Nandini Mundra, Sumanth Doddapaneni, Raj Dabre, Anoop Kunchukuttan, Ratish Puduppully, Mitesh M. Khapra
A Comprehensive Analysis of Adapter Efficiency. COMAD/CODS (2024)
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
IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian Languages. CoRR (2024)
Praveen Srinivasa Varadhan, Ashwin Sankar, Giri Raju, Mitesh M. Khapra
Rasa: Building Expressive Speech Synthesis Systems for Indian Languages in Low-resource Settings. CoRR (2024)
Pranjal A. Chitale, Jay P. Gala, Varun Gumma, Mitesh M. Khapra, Raj Dabre
An Empirical Analysis of In-context Learning Abilities of LLMs for MT. CoRR (2024)
Sumanth Doddapaneni, Mohammed Safi Ur Rahman Khan, Sshubam Verma, Mitesh M. Khapra
Finding Blind Spots in Evaluator LLMs with Interpretable Checklists. CoRR (2024)
Anushka Singh, Ananya B. Sai, Raj Dabre, Ratish Puduppully, Anoop Kunchukuttan, Mitesh M. Khapra
How Good is Zero-Shot MT Evaluation for Low Resource Indian Languages? CoRR (2024)
Tahir Javed, Janki Atul Nawale, Eldho Ittan George, Sakshi Joshi, Kaushal Santosh Bhogale, Deovrat Mehendale, Ishvinder Virender Sethi, Aparna Ananthanarayanan, Hafsah Faquih, Pratiti Palit, Sneha Ravishankar, Saranya Sukumaran, Tripura Panchagnula, Sunjay Murali, Kunal Sharad Gandhi, Ambujavalli R, Manickam K. M, C. Venkata Vaijayanthi, Krishnan Srinivasa Raghavan Karunganni, Pratyush Kumar, Mitesh M. Khapra
IndicVoices: Towards building an Inclusive Multilingual Speech Dataset for Indian Languages. CoRR (2024)
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, Tripura Panchagnula, Sunjay Murali, Kunal Sharad Gandhi, Ambujavalli R, Manickam K. M, C. Venkata Vaijayanthi, Krishnan Srinivasa Raghavan Karunganni, Pratyush Kumar, Mitesh M. Khapra
IndicVoices: Towards building an Inclusive Multilingual Speech Dataset for Indian Languages. ACL (Findings) (2024)
Nandini Mundra, Aditya Nanda Kishore, Raj Dabre, Ratish Puduppully, Anoop Kunchukuttan, Mitesh M. Khapra
An Empirical Comparison of Vocabulary Expansion and Initialization Approaches for Language Models. CoRR (2024)
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, Raj Dabre, Anoop Kunchukuttan
IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages. Trans. Mach. Learn. Res. 2023 (2023)
Yash Madhani, Mitesh M. Khapra, Anoop Kunchukuttan
Bhasa-Abhijnaanam: Native-script and romanized Language Identification for 22 Indic languages. ACL (2) (2023)
Tahir Javed, Sakshi Joshi, Vignesh Nagarajan, Sai Sundaresan, Janki Nawale, Abhigyan Raman, Kaushal Santosh Bhogale, Pratyush Kumar, Mitesh M. Khapra
Svarah: Evaluating English ASR Systems on Indian Accents. INTERSPEECH (2023)
Nandini Mundra, Sumanth Doddapaneni, Raj Dabre, Anoop Kunchukuttan, Ratish Puduppully, Mitesh M. Khapra
A Comprehensive Analysis of Adapter Efficiency. CoRR (2023)
AI4Bharat, Jay P. Gala, Pranjal A. Chitale, Raghavan AK, Sumanth Doddapaneni, Varun Gumma, Aswanth Kumar, Janki Nawale, Anupama Sujatha, Ratish Puduppully, Vivek Raghavan, Pratyush Kumar, Mitesh M. Khapra, Raj Dabre, Anoop Kunchukuttan
IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages. CoRR (2023)
Kaushal Santosh Bhogale, Sai Sundaresan, Abhigyan Raman, Tahir Javed, Mitesh M. Khapra, Pratyush Kumar
Vistaar: Diverse Benchmarks and Training Sets for Indian Language ASR. INTERSPEECH (2023)
Ananya B. Sai, Tanay Dixit, Vignesh Nagarajan, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra, Raj Dabre
IndicMT Eval: A Dataset to Meta-Evaluate Machine Translation Metrics for Indian Languages. ACL (1) (2023)
Ananya B. Sai, Akash Kumar Mohankumar, Mitesh M. Khapra
A Survey of Evaluation Metrics Used for NLG Systems. ACM Comput. Surv. 55 (2) (2023)
Shreya Goyal, Sumanth Doddapaneni, Mitesh M. Khapra, Balaraman Ravindran
A Survey of Adversarial Defenses and Robustness in NLP. ACM Comput. Surv. 55 (14s) (2023)
Tahir Javed, Sakshi Joshi, Vignesh Nagarajan, Sai Sundaresan, Janki Nawale, Abhigyan Raman, Kaushal Santosh Bhogale, Pratyush Kumar, Mitesh M. Khapra
Svarah: Evaluating English ASR Systems on Indian Accents. CoRR (2023)
Yash Madhani, Sushane Parthan, Priyanka Bedekar, Gokul NC, Ruchi Khapra, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra
Aksharantar: Open Indic-language Transliteration datasets and models for the Next Billion Users. EMNLP (Findings) (2023)
Arnav Mhaske, Harshit Kedia, Sumanth Doddapaneni, Mitesh M. Khapra, Pratyush Kumar, V. Rudra Murthy, Anoop Kunchukuttan
Naamapadam: A Large-Scale Named Entity Annotated Data for Indic Languages. ACL (1) (2023)
Sumanth Doddapaneni, Rahul Aralikatte, Gowtham Ramesh, Shreya Goyal, Mitesh M. Khapra, Anoop Kunchukuttan, Pratyush Kumar
Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic Languages. ACL (1) (2023)
Gokul Karthik Kumar, Praveen S. V, Pratyush Kumar, Mitesh M. Khapra, Karthik Nandakumar
Towards Building Text-to-Speech Systems for the Next Billion Users. ICASSP (2023)
Kaushal Santosh Bhogale, Abhigyan Raman, Tahir Javed, Sumanth Doddapaneni, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra
Effectiveness of Mining Audio and Text Pairs from Public Data for Improving ASR Systems for Low-Resource Languages. ICASSP (2023)
Yash Madhani, Mitesh M. Khapra, Anoop Kunchukuttan
Bhasha-Abhijnaanam: Native-script and romanized Language Identification for 22 Indic languages. CoRR (2023)
Tahir Javed, Kaushal Santosh Bhogale, Abhigyan Raman, Pratyush Kumar, Anoop Kunchukuttan, Mitesh M. Khapra
IndicSUPERB: A Speech Processing Universal Performance Benchmark for Indian Languages. AAAI (2023)
Kaushal Santosh Bhogale, Sai Sundaresan, Abhigyan Raman, Tahir Javed, Mitesh M. Khapra, Pratyush Kumar
Vistaar: Diverse Benchmarks and Training Sets for Indian Language ASR. CoRR (2023)
Akash Kumar Mohankumar, Mitesh M. Khapra
Active Evaluation: Efficient NLG Evaluation with Few Pairwise Comparisons. CoRR (2022)
Kaushal Santosh Bhogale, Abhigyan Raman, Tahir Javed, Sumanth Doddapaneni, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra
Effectiveness of Mining Audio and Text Pairs from Public Data for Improving ASR Systems for Low-Resource Languages. CoRR (2022)
Tahir Javed, Kaushal Santosh Bhogale, Abhigyan Raman, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra
IndicSUPERB: A Speech Processing Universal Performance Benchmark for Indian languages. CoRR (2022)
Aman Kumar, Himani Shrotriya, Prachi Sahu, Raj Dabre, Ratish Puduppully, Anoop Kunchukuttan, Amogh Mishra, Mitesh M. Khapra, Pratyush Kumar
IndicNLG Suite: Multilingual Datasets for Diverse NLG Tasks in Indic Languages. CoRR (2022)
Tahir Javed, Sumanth Doddapaneni, Abhigyan Raman, Kaushal Santosh Bhogale, Gowtham Ramesh, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra
Towards Building ASR Systems for the Next Billion Users. AAAI (2022)
Shreya Goyal, Sumanth Doddapaneni, Mitesh M. Khapra, Balaraman Ravindran
A Survey in Adversarial Defences and Robustness in NLP. CoRR (2022)
Aman Kumar, Himani Shrotriya, Prachi Sahu, Amogh Mishra, Raj Dabre, Ratish Puduppully, Anoop Kunchukuttan, Mitesh M. Khapra, Pratyush Kumar
IndicNLG Benchmark: Multilingual Datasets for Diverse NLG Tasks in Indic Languages. EMNLP (2022)
Prem Selvaraj, Gokul Nc, Pratyush Kumar, Mitesh M. Khapra
OpenHands: Making Sign Language Recognition Accessible with Pose-based Pretrained Models across Languages. ACL (1) (2022)
Sumanth Doddapaneni, Rahul Aralikatte, Gowtham Ramesh, Shreya Goyal, Mitesh M. Khapra, Anoop Kunchukuttan, Pratyush Kumar
IndicXTREME: A Multi-Task Benchmark For Evaluating Indic Languages. CoRR (2022)
Akash Kumar Mohankumar, Mitesh M. Khapra
Active Evaluation: Efficient NLG Evaluation with Few Pairwise Comparisons. ACL (1) (2022)
Emil Biju, Anirudh Sriram, Pratyush Kumar, Mitesh M. Khapra
Input-specific Attention Subnetworks for Adversarial Detection. CoRR (2022)
Gokul Karthik Kumar, Praveen S. V, Pratyush Kumar, Mitesh M. Khapra, Karthik Nandakumar
Towards Building Text-To-Speech Systems for the Next Billion Users. CoRR (2022)
Emil Biju, Anirudh Sriram, Pratyush Kumar, Mitesh M. Khapra
Input-specific Attention Subnetworks for Adversarial Detection. ACL (Findings) (2022)
Arnav Mhaske, Harshit Kedia, Sumanth Doddapaneni, Mitesh M. Khapra, Pratyush Kumar, V. Rudra Murthy, Anoop Kunchukuttan
Naamapadam: A Large-Scale Named Entity Annotated Data for Indic Languages. CoRR (2022)
Ananya B. Sai, Vignesh Nagarajan, Tanay Dixit, Raj Dabre, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra
IndicMT Eval: A Dataset to Meta-Evaluate Machine Translation metrics for Indian Languages. CoRR (2022)
Priyesh Vijayan, Yash Chandak, Mitesh M. Khapra, Srinivasan Parthasarathy, Balaraman Ravindran
Scaling Graph Propagation Kernels for Predictive Learning. Frontiers Big Data 5 (2022)
Emil Biju, Anirudh Sriram, Mitesh M. Khapra, Pratyush Kumar
Joint Transformer/RNN Architecture for Gesture Typing in Indic Languages. CoRR (2022)
Yash Madhani, Sushane Parthan, Priyanka Bedekar, Ruchi Khapra, Vivek Seshadri, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra
Aksharantar: Towards building open transliteration tools for the next billion users. CoRR (2022)
Pritha Ganguly, Nitesh S. Methani, Mitesh M. Khapra, Pratyush Kumar
A Systematic Evaluation of Object Detection Networks for Scientific Plots. AAAI (2021)
Tahir Javed, Sumanth Doddapaneni, Abhigyan Raman, Kaushal Santosh Bhogale, Gowtham Ramesh, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra
Towards Building ASR Systems for the Next Billion Users. CoRR (2021)
Prem Selvaraj, Gokul N. C., Pratyush Kumar, Mitesh M. Khapra
OpenHands: Making Sign Language Recognition Accessible with Pose-based Pretrained Models across Languages. CoRR (2021)
Ananya B. Sai, Tanay Dixit, Dev Yashpal Sheth, Sreyas Mohan, Mitesh M. Khapra
Perturbation CheckLists for Evaluating NLG Evaluation Metrics. EMNLP (1) (2021)
Karthik Visweswariah, Beethika Tripathi, Mitesh M. Khapra, Balaraman Ravindran
A Joint Training Framework for Open-World Knowledge Graph Embeddings. AKBC (2021)
Dev Yashpal Sheth, Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Mitesh M. Khapra, Eero P. Simoncelli, Carlos Fernandez-Granda
Unsupervised Deep Video Denoising. ICCV (2021)
Ananya B. Sai, Tanay Dixit, Dev Yashpal Sheth, Sreyas Mohan, Mitesh M. Khapra
Perturbation CheckLists for Evaluating NLG Evaluation Metrics. CoRR (2021)
Raj Dabre, Himani Shrotriya, Anoop Kunchukuttan, Ratish Puduppully, Mitesh M. Khapra, Pratyush Kumar
IndicBART: A Pre-trained Model for Natural Language Generation of Indic Languages. CoRR (2021)
Sumanth Doddapaneni, Gowtham Ramesh, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra
A Primer on Pretrained Multilingual Language Models. CoRR (2021)
Sahana Ramnath, Preksha Nema, Deep Sahni, Mitesh M. Khapra
A Framework for Rationale Extraction for Deep QA models. CoRR (2021)
Madhura Pande, Aakriti Budhraja, Preksha Nema, Pratyush Kumar, Mitesh M. Khapra
The Heads Hypothesis: A Unifying Statistical Approach Towards Understanding Multi-Headed Attention in BERT. AAAI (2021)
Aakriti Budhraja, Madhura Pande, Pratyush Kumar, Mitesh M. Khapra
On the Prunability of Attention Heads in Multilingual BERT. CoRR (2021)
Madhura Pande, Aakriti Budhraja, Preksha Nema, Pratyush Kumar, Mitesh M. Khapra
The heads hypothesis: A unifying statistical approach towards understanding multi-headed attention in BERT. CoRR (2021)
Ananya B. Sai, Akash Kumar Mohankumar, Siddhartha Arora, Mitesh M. Khapra
Improving Dialog Evaluation with a Multi-reference Adversarial Dataset and Large Scale Pretraining. CoRR (2020)
Emil Biju, Anirudh Sriram, Mitesh M. Khapra, Pratyush Kumar
Joint Transformer/RNN Architecture for Gesture Typing in Indic Languages. COLING (2020)
Nikita Moghe, Priyesh Vijayan, Balaraman Ravindran, Mitesh M. Khapra
On Incorporating Structural Information to improve Dialogue Response Generation. CoRR (2020)
Sahana Ramnath, Preksha Nema, Deep Sahni, Mitesh M. Khapra
Towards Interpreting BERT for Reading Comprehension Based QA. EMNLP (1) (2020)
Sahana Ramnath, Preksha Nema, Deep Sahni, Mitesh M. Khapra
Towards Interpreting BERT for Reading Comprehension Based QA. CoRR (2020)
Anoop Kunchukuttan, Divyanshu Kakwani, Satish Golla, Gokul N. C., Avik Bhattacharyya, Mitesh M. Khapra, Pratyush Kumar
AI4Bharat-IndicNLP Corpus: Monolingual Corpora and Word Embeddings for Indic Languages. CoRR (2020)
Nitesh Methani, Pritha Ganguly, Mitesh M. Khapra, Pratyush Kumar
PlotQA: Reasoning over Scientific Plots. WACV (2020)
Advaith Sridhar, Rohith Gandhi Ganesan, Pratyush Kumar, Mitesh M. Khapra
INCLUDE: A Large Scale Dataset for Indian Sign Language Recognition. ACM Multimedia (2020)
Dev Yashpal Sheth, Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Mitesh M. Khapra, Eero P. Simoncelli, Carlos Fernandez-Granda
Unsupervised Deep Video Denoising. CoRR (2020)
Madhura Pande, Aakriti Budhraja, Preksha Nema, Pratyush Kumar, Mitesh M. Khapra
On the Importance of Local Information in Transformer Based Models. CoRR (2020)
Divyanshu Kakwani, Anoop Kunchukuttan, Satish Golla, Gokul N. C., Avik Bhattacharyya, Mitesh M. Khapra, Pratyush Kumar
iNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian Languages. EMNLP (Findings) (2020)
Ameet Deshpande, Mitesh M. Khapra
Evaluating a Generative Adversarial Framework for Information Retrieval. CoRR (2020)
Ananya B. Sai, Akash Kumar Mohankumar, Mitesh M. Khapra
A Survey of Evaluation Metrics Used for NLG Systems. CoRR (2020)
Ananya B. Sai, Akash Kumar Mohankumar, Siddhartha Arora, Mitesh M. Khapra
Improving Dialog Evaluation with a Multi-reference Adversarial Dataset and Large Scale Pretraining. Trans. Assoc. Comput. Linguistics 8 (2020)
Aakriti Budhraja, Madhura Pande, Preksha Nema, Pratyush Kumar, Mitesh M. Khapra
On the weak link between importance and prunability of attention heads. EMNLP (1) (2020)
Pritha Ganguly, Nitesh Methani, Mitesh M. Khapra, Pratyush Kumar
A Systematic Evaluation of Object Detection Networks for Scientific Plots. CoRR (2020)
Akash Kumar Mohankumar, Preksha Nema, Sharan Narasimhan, Mitesh M. Khapra, Balaji Vasan Srinivasan, Balaraman Ravindran
Towards Transparent and Explainable Attention Models. CoRR (2020)
Akash Kumar Mohankumar, Preksha Nema, Sharan Narasimhan, Mitesh M. Khapra, Balaji Vasan Srinivasan, Balaraman Ravindran
Towards Transparent and Explainable Attention Models. ACL (2020)
Sahana Ramnath, Amrita Saha, Soumen Chakrabarti, Mitesh M. Khapra
Scene Graph based Image Retrieval - A case study on the CLEVR Dataset. CoRR (2019)
Revanth Reddy, Rahul Ramesh, Ameet Deshpande, Mitesh M. Khapra
FigureNet : A Deep Learning model for Question-Answering on Scientific Plots. IJCNN (2019)
Suman Banerjee, Mitesh M. Khapra
Graph Convolutional Network with Sequential Attention for Goal-Oriented Dialogue Systems. Trans. Assoc. Comput. Linguistics 7 (2019)
Preksha Nema, Akash Kumar Mohankumar, Mitesh M. Khapra, Balaji Vasan Srinivasan, Balaraman Ravindran
Let's Ask Again: Refine Network for Automatic Question Generation. CoRR (2019)
Ananya B. Sai, Mithun Das Gupta, Mitesh M. Khapra, Mukundhan Srinivasan
Re-Evaluating ADEM: A Deeper Look at Scoring Dialogue Responses. AAAI (2019)
Shweta Bhardwaj, Mukundhan Srinivasan, Mitesh M. Khapra
Efficient Video Classification Using Fewer Frames. CoRR (2019)
V. Rudra Murthy, Mitesh M. Khapra, Pushpak Bhattacharyya
Improving NER Tagging Performance in Low-Resource Languages via Multilingual Learning. ACM Trans. Asian Low Resour. Lang. Inf. Process. 18 (2) (2019)
Deepak Mittal, Shweta Bhardwaj, Mitesh M. Khapra, Balaraman Ravindran
Studying the plasticity in deep convolutional neural networks using random pruning. Mach. Vis. Appl. 30 (2) (2019)
Nitesh Methani, Pritha Ganguly, Mitesh M. Khapra, Pratyush Kumar
Data Interpretation over Plots. CoRR (2019)
Ananya Sai, Mithun Das Gupta, Mitesh M. Khapra, Mukundhan Srinivasan
Re-evaluating ADEM: A Deeper Look at Scoring Dialogue Responses. CoRR (2019)
Siddhartha Arora, Mitesh M. Khapra, Harish G. Ramaswamy
On Knowledge distillation from complex networks for response prediction. NAACL-HLT (1) (2019)
Preksha Nema, Akash Kumar Mohankumar, Mitesh M. Khapra, Balaji Vasan Srinivasan, Balaraman Ravindran
Let's Ask Again: Refine Network for Automatic Question Generation. EMNLP/IJCNLP (1) (2019)
Soham Parikh, Ananya B. Sai, Preksha Nema, Mitesh M. Khapra
ElimiNet: A Model for Eliminating Options for Reading Comprehension with Multiple Choice Questions. CoRR (2019)
Soham Parikh, Ananya B. Sai, Preksha Nema, Mitesh M. Khapra
Frustratingly Poor Performance of Reading Comprehension Models on Non-adversarial Examples. CoRR (2019)
Shweta Bhardwaj, Mukundhan Srinivasan, Mitesh M. Khapra
Efficient Video Classification Using Fewer Frames. CVPR (2019)
Suman Banerjee, Nikita Moghe, Siddhartha Arora, Mitesh M. Khapra
A Dataset for Building Code-Mixed Goal Oriented Conversation Systems. CoRR (2018)
Parag Jain, Anirban Laha, Karthik Sankaranarayanan, Preksha Nema, Mitesh M. Khapra, Shreyas Shetty
A Mixed Hierarchical Attention based Encoder-Decoder Approach for Standard Table Summarization. CoRR (2018)
Amrita Saha, Vardaan Pahuja, Mitesh M. Khapra, Karthik Sankaranarayanan, Sarath Chandar
Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph. CoRR (2018)
Deepak Mittal, Shweta Bhardwaj, Mitesh M. Khapra, Balaraman Ravindran
Studying the Plasticity in Deep Convolutional Neural Networks using Random Pruning. CoRR (2018)
Preksha Nema, Mitesh M. Khapra
Towards a Better Metric for Evaluating Question Generation Systems. EMNLP (2018)
Amrita Saha, Mitesh M. Khapra, Karthik Sankaranarayanan
Towards Building Large Scale Multimodal Domain-Aware Conversation Systems. AAAI (2018)
Soham Parikh, Ananya Sai, Preksha Nema, Mitesh M. Khapra
ElimiNet: A Model for Eliminating Options for Reading Comprehension with Multiple Choice Questions. IJCAI (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mitesh M. Khapra