Distributed Computing, Automatic Design, and Error Recovery in the ULYSSES II Framework. - Sandip Parikh; Michael L. Bushnell; James Sienicki; Ganesh Ramakrishnan (EDAC-ETC-EUROASIC, 1994)

Passage Scoring for Question Answering via Bayesian Inference on Lexical Relations. - Deepa Paranjpe; Ganesh Ramakrishnan; Sumana Srinivasan (TREC, 2003)

Generic Text Summarization Using Wordnet for Novelty and Hard. - Ganesh Ramakrishnan; Kedar Bellare; Chirag Shah 001; Deepa Paranjpe (TREC, 2003)

Text Representation with WordNet Synsets Using Soft Sense Disambiguation. - Ganesh Ramakrishnan; Pushpak Bhattacharyya (Ingénierie des Systèmes d Inf., 2003)

Generic Text Summarization Using WordNet. - Kedar Bellare; Anish Das Sarma; Atish Das Sarma; Navneet Loiwal; Vaibhav Mehta; Ganesh Ramakrishnan; Pushpak Bhattacharyya (LREC, 2004)

A gloss-centered algorithm for disambiguation. - Ganesh Ramakrishnan; B. Prithviraj; Pushpak Bhattacharya (SENSEVAL@ACL, 2004)

Is question answering an acquired skill? - Ganesh Ramakrishnan; Soumen Chakrabarti; Deepa Paranjpe; Pushpak Bhattacharyya (WWW, 2004)

A structure-sensitive framework for text categorization. - Ganesh Ramakrishnan; Deepa Paranjpe; Byron Dom (CIKM, 2005)

VisualRDR: A general framework for creating, maintaining and learning of ripple down rules for Information Extraction. - Delip Rao; Sachindra Joshi; Sreeram Balakrishnan; Ganesh Ramakrishnan (COMAD (b), 2005)

Text Classification with Evolving Label-Sets. - Shantanu Godbole; Ganesh Ramakrishnan; Sunita Sarawagi (ICDM, 2005)

A model for handling approximate, noisy or incomplete labeling in text classification. - Ganesh Ramakrishnan; Krishna Prasad Chitrapura; Raghu Krishnapuram; Pushpak Bhattacharyya (ICML, 2005)

Entity Annotation based on Inverse Index Operations. - Ganesh Ramakrishnan; Sreeram Balakrishnan; Sachindra Joshi (EMNLP, 2006)

Automatic Sales Lead Generation from Web Data. - Ganesh Ramakrishnan; Sachindra Joshi; Sumit Negi; Raghu Krishnapuram; Sreeram Balakrishnan (ICDE, 2006)

Word Sense Disambiguation Using Inductive Logic Programming. - Lucia Specia; Ashwin Srinivasan 001; Ganesh Ramakrishnan; Maria das Graças Volpe Nunes (ILP, 2006)

Toward interactive learning by concept ordering. - Shantanu Godbole; Sachindra Joshi; Sameep Mehta; Ganesh Ramakrishnan (Hypertext, 2007)

Using ILP to Construct Features for Information Extraction from Semi-structured Text. - Ganesh Ramakrishnan; Sachindra Joshi; Sreeram Balakrishnan; Ashwin Srinivasan 001 (ILP, 2007)

USP-IBM-1 and USP-IBM-2: The ILP-based Systems for Lexical Sample WSD in SemEval-2007. - Lucia Specia; Maria das Graças Volpe Nunes; Ashwin Srinivasan 001; Ganesh Ramakrishnan (SemEval@ACL, 2007)

Identification of class specific discourse patterns. - Anup Chalamalla; Sumit Negi; L. Venkata Subramaniam; Ganesh Ramakrishnan (CIKM, 2008)

RAD: A Scalable Framework for Annotator Development. - Sanjeet Khaitan; Ganesh Ramakrishnan; Sachindra Joshi; Anup Chalamalla (ICDE, 2008)

Learning Decision Lists with Known Rules for Text Mining. - Venkatesan Chakravarthy; Sachindra Joshi; Ganesh Ramakrishnan; Shantanu Godbole; Sreeram Balakrishnan (IJCNLP, 2008)

Feature Construction Using Theory-Guided Sampling and Randomised Search. - Sachindra Joshi; Ganesh Ramakrishnan; Ashwin Srinivasan 001 (ILP, 2008)

Optimization issues in inverted index-based entity annotation. - Ganesh Ramakrishnan; Sachindra Joshi; Sanjeet Khaitan; Sreeram Balakrishnan (Infoscale, 2008)

Incorporating Linguistic Expertise Using ILP for Named Entity Recognition in Data Hungry Indian Languages. - Anup Patel; Ganesh Ramakrishnan; Pushpak Bhattacharyya (ILP, 2009)

Collective annotation of Wikipedia entities in web text. - Sayali Kulkarni; Amit Singh 003; Ganesh Ramakrishnan; Soumen Chakrabarti (KDD, 2009)

Learning to rank for quantity consensus queries. - Somnath Banerjee; Soumen Chakrabarti; Ganesh Ramakrishnan (SIGIR, 2009)

An investigation into feature construction to assist word sense disambiguation. - Lucia Specia; Ashwin Srinivasan 001; Sachindra Joshi; Ganesh Ramakrishnan; Maria das Graças Volpe Nunes (Mach. Learn., 2009)

BET : An Inductive Logic Programming Workbench. - Srihari Kalgi; Chirag Gosar; Prasad Gawde; Ganesh Ramakrishnan; Kekin Gada; Chander Iyer; T. V. S. Kiran; Ashwin Srinivasan 001 (ILP, 2010)

Pruning Search Space for Weighted First Order Horn Clause Satisfiability. - Naveen Nair; Anandraj Govindan; Chander Jayaraman; T. V. S. Kiran; Ganesh Ramakrishnan (ILP, 2010)

Discovering customer intent in real-time for streamlining service desk conversations. - Ullas Nambiar; Tanveer A. Faruquie; L. Venkata Subramaniam; Sumit Negi; Ganesh Ramakrishnan (CIKM, 2011)

Enhancing Activity Recognition in Smart Homes Using Feature Induction. - Naveen Nair; Ganesh Ramakrishnan; Shonali Krishnaswamy (DaWaK, 2011)

Efficient Rule Ensemble Learning using Hierarchical Kernels. - Pratik Jawanpuria; Jagarlapudi Saketha Nath; Ganesh Ramakrishnan (ICML, 2011)

Web-scale entity-relation search architecture. - Soumen Chakrabarti; Devshree Sane; Ganesh Ramakrishnan (WWW (Companion Volume), 2011)

Parameter Screening and Optimisation for ILP using Designed Experiments. - Ashwin Srinivasan 001; Ganesh Ramakrishnan (J. Mach. Learn. Res., 2011)

Rule Ensemble Learning Using Hierarchical Kernels in Structured Output Spaces. - Naveen Nair; Amrita Saha; Ganesh Ramakrishnan; Shonali Krishnaswamy (AAAI, 2012)

Towards Efficient Named-Entity Rule Induction for Customizability. - Ajay Nagesh; Ganesh Ramakrishnan; Laura Chiticariu; Rajasekar Krishnamurthy; Ankush Dharkar; Pushpak Bhattacharyya (EMNLP-CoNLL, 2012)

Probing the Space of Optimal Markov Logic Networks for Sequence Labeling. - Naveen Nair; Ajay Nagesh; Ganesh Ramakrishnan (ILP, 2012)

What Kinds of Relational Features Are Useful for Statistical Learning? - Amrita Saha; Ashwin Srinivasan 001; Ganesh Ramakrishnan (ILP, 2012)

Error tracking in search engine development. - Swapnil Chaudhari; Arjun Atreya V; Pushpak Bhattacharyya; Ganesh Ramakrishnan (WSSANLP@COLING, 2012)

Building Multilingual Search Index using open source framework. - Arjun Atreya V; Swapnil Chaudhari; Pushpak Bhattacharyya; Ganesh Ramakrishnan (WSSANLP@COLING, 2012)

Compressed data structures for annotated web search. - Soumen Chakrabarti; Sasidhar Kasturi; Bharath Balakrishnan; Ganesh Ramakrishnan; Rohit Saraf (WWW, 2012)

Using Sequential Unconstrained Minimization Techniques to simplify SVM solvers. - Sachindra Joshi; Jayadeva; Ganesh Ramakrishnan; Suresh Chandra 001 (Neurocomputing, 2012)

Optimally Extracting Discriminative Disjunctive Features for Dimensionality Reduction. - Amrita Saha; Naveen Nair; Ganesh Ramakrishnan (COMAD, 2013)

Semi-automatic Dictionary Curation for Domain-Specific Ontologies. - Ashish Kulkarni; Chetana Gavankar; Ganesh Ramakrishnan; Sriram Raghavan (ICTAI, 2013)

Learning to Generate Diversified Query Interpretations using Biconvex Optimization. - Ramakrishna Bairi; Ambha A; Ganesh Ramakrishnan (IJCNLP, 2013)

Structure Cognizant Pseudo Relevance Feedback. - Arjun Atreya V; Yogesh Kakde; Pushpak Bhattacharyya; Ganesh Ramakrishnan (IJCNLP, 2013)

Comparison between Explicit Learning and Implicit Modeling of Relational Features in Structured Output Spaces. - Ajay Nagesh; Naveen Nair; Ganesh Ramakrishnan (ILP (Late Breaking Papers), 2013)

Rel-Div: Generating Diversified Query Interpretations from Semantic Relations. - Ramakrishna Bairi; A. Ambha; Ganesh Ramakrishnan (PReMI, 2013)

SATTY : Word Sense Induction Application in Web Search Clustering. - Satyabrata Behera; Upasana Gaikwad; Ramakrishna Bairi; Ganesh Ramakrishnan (SemEval@NAACL-HLT, 2013)

Enriching Concept Search across Semantic Web Ontologies. - Chetana Gavankar; Vishwajeet Kumar; Yuan-Fang Li; Ganesh Ramakrishnan (ISWC (Posters & Demos), 2013)

Approximate controllability of fractional nonlinear differential inclusions. - Rathinasamy Sakthivel; Ganesh Ramakrishnan; Selvaraj Marshal Anthoni (Appl. Math. Comput., 2013)

Approximate controllability of nonlinear fractional dynamical systems. - R. Sakthivel 001; Ganesh Ramakrishnan; Yong Ren 002; Selvaraj Marshal Anthoni (Commun. Nonlinear Sci. Numer. Simul., 2013)

Approximate Controllability of Fractional Integrodifferential Evolution Equations. - Ganesh Ramakrishnan; Rathinasamy Sakthivel; Nazim I. Mahmudov; Selvaraj Marshal Anthoni (J. Appl. Math., 2013)

Data-based research at IIT Bombay. - Soumen Chakrabarti; Ganesh Ramakrishnan; Krithi Ramamritham; Sunita Sarawagi; S. Sudarshan 001 (SIGMOD Rec., 2013)

Noisy Or-based model for Relation Extraction using Distant Supervision. - Ajay Nagesh; Gholamreza Haffari; Ganesh Ramakrishnan (EMNLP, 2014)

Personalized classifiers: evolving a classifier from a large reference knowledge graph. - Ramakrishna B. Bairi; Ganesh Ramakrishnan; Vikas Sindhwani (IDEAS, 2014)

Efficient Reuse of Structured and Unstructured Resources for Ontology Population. - Chetana Gavankar; Ashish Kulkarni; Ganesh Ramakrishnan (LREC, 2014)

Labeling Documents in Search Collection: Evolving Classifiers on a Semantically Relevant Label Space. - Ramakrishna Bairi; Ganesh Ramakrishnan (SMIR@SIGIR, 2014)

System for collective entity disambiguation. - Ashish Kulkarni; Kanika Agarwal; Pararth Shah; Sunny Raj Rathod; Ganesh Ramakrishnan (ERD@SIGIR, 2014)

Summarization of Multi-Document Topic Hierarchies using Submodular Mixtures. - Ramakrishna Bairi; Rishabh K. Iyer; Ganesh Ramakrishnan; Jeff A. Bilmes (ACL (1), 2015)

Categorising videos using a personalised category catalogue. - Ramakrishna B. Bairi; Ankit Vani; Pooja Ahuja; Ganesh Ramakrishnan (CODS, 2015)

An Approach to Collective Entity Linking. - Ashish Kulkarni; Kanika Agarwal; Pararth Shah; Sunny Raj Rathod; Ganesh Ramakrishnan (ICON, 2015)

Context-driven Concept Search across Web Ontologies using Keyword Queries. - Chetana Gavankar; Yuan-Fang Li; Ganesh Ramakrishnan (K-CAP, 2015)

A Machine Assisted Human Translation System for Technical Documents. - Vishwajeet Kumar; Ashish Kulkarni; Pankaj Singh; Ganesh Ramakrishnan; Ganesh Arnaal (K-CAP, 2015)

Thinking, Pairing, and Sharing to Improve Learning and Engagement in a Data Structures and Algorithms (DSA) Class. - Patil Deepti Reddy; Shitanshu Mishra; Ganesh Ramakrishnan; Sahana Murthy (LaTiCE, 2015)

Optimizing Multivariate Performance Measures for Learning Relation Extraction Models. - Gholamreza Haffari; Ajay Nagesh; Ganesh Ramakrishnan (HLT-NAACL, 2015)

Generalized hierarchical kernel learning. - Pratik Jawanpuria; Jagarlapudi Saketha Nath; Ganesh Ramakrishnan (J. Mach. Learn. Res., 2015)

Numerical Relation Extraction with Minimal Supervision. - Aman Madaan; Ashish R. Mittal; Mausam; Ganesh Ramakrishnan; Sunita Sarawagi (AAAI, 2016)

Beyond Clustering: Sub-DAG Discovery for Categorising Documents. - Ramakrishna B. Bairi; Mark James Carman; Ganesh Ramakrishnan (CIKM, 2016)

A Framework for Task-specific Short Document Expansion. - Ramakrishna B. Bairi; Raghavendra Udupa; Ganesh Ramakrishnan (CIKM, 2016)

Learning to Collectively Link Entities. - Ashish Kulkarni; Kanika Agarwal; Pararth Shah; Sunny Raj Rathod; Ganesh Ramakrishnan (CODS, 2016)

Interactive Martingale Boosting. - Ashish Kulkarni; Pushpak Burange; Ganesh Ramakrishnan (IJCAI, 2016)

Building Compact Lexicons for Cross-Domain SMT by Mining Near-Optimal Pattern Sets. - Pankaj Singh; Ashish Kulkarni; Himanshu Ojha; Vishwajeet Kumar; Ganesh Ramakrishnan (PAKDD (1), 2016)

Explicit Query Interpretation and Diversification for Context-Driven Concept Search Across Ontologies. - Chetana Gavankar; Yuan-Fang Li; Ganesh Ramakrishnan (ISWC (1), 2016)

Query Expansion in Resource-Scarce Languages: A Multilingual Framework Utilizing Document Structure. - Arjun Atreya V; Ashish Kankaria; Pushpak Bhattacharyya; Ganesh Ramakrishnan (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2016)

Scalable Optimization of Multivariate Performance Measures in Multi-instance Multi-label Learning. - Apoorv Aggarwal; Sandip Ghoshal; Ankith M. S. Shetty; Suhit Sinha; Ganesh Ramakrishnan; Purushottam Kar; Prateek Jain 002 (AAAI, 2017)

Error Detection and Corrections in Indic OCR Using LSTMs. - Rohit Saluja; Devaraj Adiga; Parag Chaudhuri; Ganesh Ramakrishnan; Mark James Carman (ICDAR, 2017)

A Framework for Document Specific Error Detection and Corrections in Indic OCR. - Rohit Saluja; Devaraj Adiga; Ganesh Ramakrishnan; Parag Chaudhuri; Mark James Carman (OST@ICDAR, 2017)

Learning Discriminative Relational Features for Sequence Labeling. - Naveen Nair; Ajay Nagesh; Ganesh Ramakrishnan (CoRR, 2017)

A Unified Multi-Faceted Video Summarization System. - Anurag Sahoo; Vishal Kaushal; Khoshrav Doctor; Suyash Shetty; Rishabh K. Iyer; Ganesh Ramakrishnan (CoRR, 2017)

More Accurate Entity Ranking Using Knowledge Graph and Web Corpus. - Uma Sawant; Soumen Chakrabarti; Ganesh Ramakrishnan (CoRR, 2017)

An Interactive Multi-Label Consensus Labeling Model for Multiple Labeler Judgments. - Ashish Kulkarni; Narasimha Raju Uppalapati; Pankaj Singh; Ganesh Ramakrishnan (AAAI, 2018)

Synthesis of Programs from Multimodal Datasets. - Shantanu Thakoor; Simoni Shah; Ganesh Ramakrishnan; Amitabha Sanyal (AAAI, 2018)

Time Aggregation Operators for Multi-label Audio Event Detection. - Pankaj Joshi; Digvijaysingh Gautam; Ganesh Ramakrishnan; Preethi Jyothi (INTERSPEECH, 2018)

Entity Resolution and Location Disambiguation in the Ancient Hindu Temples Domain using Web Data. - Ayush Maheshwari; Vishwajeet Kumar; Ganesh Ramakrishnan; J. Saketha Nath (NAACL-HLT (Demonstrations), 2018)

Automating Reading Comprehension by Generating Question and Answer Pairs. - Vishwajeet Kumar; Kireeti Boorla; Yogesh Kumar Meena; Ganesh Ramakrishnan; Yuan-Fang Li (PAKDD (3), 2018)

Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks. - Vishal Kaushal; Anurag Sahoo; Khoshrav Doctor; Narasimha Raju Uppalapati; Suyash Shetty; Pankaj Singh; Rishabh K. Iyer; Ganesh Ramakrishnan (CoRR, 2018)

A framework for automatic question generation from text using deep reinforcement learning. - Vishwajeet Kumar; Ganesh Ramakrishnan; Yuan-Fang Li (CoRR, 2018)

"Open-domain question answering using a knowledge graph and web corpus" by Uma Sawant, Soumen Chakrabarti and Ganesh Ramakrishnan with Martin Vesely as coordinator. - Uma Sawant; Soumen Chakrabarti; Ganesh Ramakrishnan (SIGWEB Newsl., 2018)

Multi-Person 3D Human Pose Estimation from Monocular Images. - Rishabh Dabral; Nitesh B. Gundavarapu; Rahul Mitra; Abhishek Sharma; Ganesh Ramakrishnan; Arjun Jain (3DV, 2019)

Cross-Lingual Training for Automatic Question Generation. - Vishwajeet Kumar; Nitish Joshi; Arijit Mukherjee; Ganesh Ramakrishnan; Preethi Jyothi (ACL (1), 2019)

Anomaly Detection in Surveillance Videos. - Sukalyan Bhakat; Ganesh Ramakrishnan (COMAD/CODS, 2019)

Representation Learning on Graphs by Integrating Content and Structure Information. - Ayush Maheshwari; Ayush Goyal; Amit Kumar; Manjesh Kumar Hanawal; Ganesh Ramakrishnan (COMSNETS, 2019)

Putting the Horse before the Cart: A Generator-Evaluator Framework for Question Generation from Text. - Vishwajeet Kumar; Ganesh Ramakrishnan; Yuan-Fang Li (CoNLL, 2019)

ParaQG: A System for Generating Questions and Answers from Paragraphs. - Vishwajeet Kumar; Sivaanandh Muneeswaran; Ganesh Ramakrishnan; Yuan-Fang Li (EMNLP/IJCNLP (3), 2019)

A Tale of Two Modalities for Video Captioning. - Pankaj Joshi; Chitwan Saharia; Vishwajeet Singh; Digvijaysingh Gautam; Ganesh Ramakrishnan; Preethi Jyothi (ICCV Workshops, 2019)

OCR On-the-Go: Robust End-to-End Systems for Reading License Plates & Street Signs. - Rohit Saluja; Ayush Maheshwari; Ganesh Ramakrishnan; Parag Chaudhuri; Mark J. Carman (ICDAR, 2019)

Sub-Word Embeddings for OCR Corrections in Highly Fusional Indic Languages. - Rohit Saluja; Mayur Punjabi; Mark J. Carman; Ganesh Ramakrishnan; Parag Chaudhuri (ICDAR, 2019)

StreetOCRCorrect: An Interactive Framework for OCR Corrections in Chaotic Indian Street Videos. - Pankaj Singh; Bhavya Patwa; Rohit Saluja; Ganesh Ramakrishnan; Parag Chaudhuri (OST@ICDAR, 2019)

Difficulty-Controllable Multi-hop Question Generation from Knowledge Graphs. - Vishwajeet Kumar; Yuncheng Hua; Ganesh Ramakrishnan; Guilin Qi; Lianli Gao; Yuan-Fang Li (ISWC (1), 2019)

Demystifying Multi-Faceted Video Summarization: Tradeoff Between Diversity, Representation, Coverage and Importance. - Vishal Kaushal; Rishabh K. Iyer; Khoshrav Doctor; Anurag Sahoo; Pratik Dubal; Suraj Kothawade; Rohan Mahadev; Kunal Dargan; Ganesh Ramakrishnan (WACV, 2019)

Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision. - Vishal Kaushal; Rishabh K. Iyer; Suraj Kothawade; Rohan Mahadev; Khoshrav Doctor; Ganesh Ramakrishnan (WACV, 2019)

A Framework Towards Domain Specific Video Summarization. - Vishal Kaushal; Sandeep Subramanian; Suraj Kothawade; Rishabh K. Iyer; Ganesh Ramakrishnan (WACV, 2019)

Tale of tails using rule augmented sequence labeling for event extraction. - Hrishikesh Patel; Nandan Rathod; Ayush Maheshwari; Ritesh Kumar; Ganesh Ramakrishnan; Pushpak Bhattacharyya (CoRR, 2019)

Question Generation from Paragraphs: A Tale of Two Hierarchical Models. - Vishwajeet Kumar; Raktim Chaki; Sai Teja Talluri; Ganesh Ramakrishnan; Yuan-Fang Li; Gholamreza Haffari (CoRR, 2019)

Data Programming using Continuous and Quality-Guided Labeling Functions. - Oishik Chatterjee; Ganesh Ramakrishnan; Sunita Sarawagi (CoRR, 2019)

Neural architecture for question answering using a knowledge graph and web corpus. - Uma Sawant; Saurabh Garg 003; Soumen Chakrabarti; Ganesh Ramakrishnan (Inf. Retr. J., 2019)

Robust Data Programming with Precision-guided Labeling Functions. - Oishik Chatterjee; Ganesh Ramakrishnan; Sunita Sarawagi (AAAI, 2020)

Watch Hours in Minutes: Summarizing Videos with User Intent. - Saiteja Nalla; Mohit Agrawal; Vishal Kaushal; Ganesh Ramakrishnan; Rishabh K. Iyer (ECCV Workshops (5), 2020)

Vocabulary Matters: A Simple yet Effective Approach to Paragraph-level Question Generation. - Vishwajeet Kumar; Manish Joshi; Ganesh Ramakrishnan; Yuan-Fang Li (AACL/IJCNLP, 2020)

Caption Alignment for Low Resource Audio-Visual Data. - Vighnesh Reddy Konda; Mayur Warialani; Rakesh Prasanth Achari; Varad Bhatnagar; Jayaprakash Akula; Preethi Jyothi; Ganesh Ramakrishnan; Gholamreza Haffari; Pankaj Singh (INTERSPEECH, 2020)

Realistic Video Summarization through VISIOCITY: A New Benchmark and Evaluation Framework. - Vishal Kaushal; Suraj Kothawade; Rishabh K. Iyer; Ganesh Ramakrishnan (AI4TV@MM, 2020)

LIGHTEN: Learning Interactions with Graph and Hierarchical TEmporal Networks for HOI in videos. - Sai Praneeth Reddy Sunkesula; Rishabh Dabral; Ganesh Ramakrishnan (ACM Multimedia, 2020)

Data Programming using Semi-Supervision and Subset Selection. - Ayush Maheshwari; Oishik Chatterjee; KrishnaTeja Killamsetty; Rishabh K. Iyer; Ganesh Ramakrishnan (CoRR, 2020)

A Unified Framework for Generic, Query-Focused, Privacy Preserving and Update Summarization using Submodular Information Measures. - Vishal Kaushal; Suraj Kothawade; Ganesh Ramakrishnan; Jeff A. Bilmes; Himanshu Asnani; Rishabh K. Iyer (CoRR, 2020)

GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning. - KrishnaTeja Killamsetty; Durga Sivasubramanian; Ganesh Ramakrishnan; Rishabh K. Iyer (AAAI, 2021)

Automatic Speech Recognition in Sanskrit: A New Speech Corpus and Modelling Insights. - Devaraja Adiga; Rishabh Kumar; Amrith Krishna; Preethi Jyothi; Ganesh Ramakrishnan; Pawan Goyal 002 (ACL/IJCNLP (Findings), 2021)

Semi-Supervised Data Programming with Subset Selection. - Ayush Maheshwari; Oishik Chatterjee; KrishnaTeja Killamsetty; Ganesh Ramakrishnan; Rishabh K. Iyer (ACL/IJCNLP (Findings), 2021)

Rule Augmented Unsupervised Constituency Parsing. - Atul Sahay; Anshul Nasery; Ayush Maheshwari; Ganesh Ramakrishnan; Rishabh K. Iyer (ACL/IJCNLP (Findings), 2021)

Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification. - Soumya Chatterjee 002; Ayush Maheshwari; Ganesh Ramakrishnan; Saketha Nath Jagarlapudi (EACL, 2021)

Meta-Learning for Effective Multi-task and Multilingual Modelling. - Ishan Tarunesh; Sushil Khyalia; Vishwajeet Kumar; Ganesh Ramakrishnan; Preethi Jyothi (EACL, 2021)

CATALIST: CAmera TrAnsformations for Multi-LIngual Scene Text Recognition. - Shivam Sood; Rohit Saluja; Ganesh Ramakrishnan; Parag Chaudhuri (ICDAR Workshops (1), 2021)

Cross Lingual Video and Text Retrieval: A New Benchmark Dataset and Algorithm. - Jayaprakash Akula; Abhishek Sharma; Rishabh Dabral; Preethi Jyothi; Ganesh Ramakrishnan (ICMI, 2021)

GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training. - KrishnaTeja Killamsetty; Durga Sivasubramanian; Ganesh Ramakrishnan; Abir De; Rishabh K. Iyer (ICML, 2021)

Training Data Subset Selection for Regression with Controlled Generalization Error. - Durga Sivasubramanian; Rishabh K. Iyer; Ganesh Ramakrishnan; Abir De (ICML, 2021)

Unsupervised Learning of Explainable Parse Trees for Improved Generalisation. - Atul Sahay; Ayush Maheshwari; Ritesh Kumar; Ganesh Ramakrishnan; Manjesh Kumar Hanawal; Kavi Arya (IJCNN, 2021)

Cross-Modal Learning for Audio-Visual Video Parsing. - Jatin Lamba; Abhishek; Jayaprakash Akula; Rishabh Dabral; Preethi Jyothi; Ganesh Ramakrishnan (Interspeech, 2021)

Wisdom of (Binned) Crowds: A Bayesian Stratification Paradigm for Crowd Counting. - Sravya Vardhani Shivapuja; Mansi Pradeep Khamkar; Divij Bajaj; Ganesh Ramakrishnan; Ravi Kiran Sarvadevabhatla (ACM Multimedia, 2021)

Select, Substitute, Search: A New Benchmark for Knowledge-Augmented Visual Question Answering. - Aman Jain; Mayank Kothyari; Vishwajeet Kumar; Preethi Jyothi; Ganesh Ramakrishnan; Soumen Chakrabarti (SIGIR, 2021)

Exploration of Spatial and Temporal Modeling Alternatives for HOI. - Rishabh Dabral; Srijon Sarkar; Sai Praneeth Reddy; Ganesh Ramakrishnan (WACV, 2021)

How Good is a Video Summary? A New Benchmarking Dataset and Evaluation Framework Towards Realistic Video Summarization. - Vishal Kaushal; Suraj Kothawade; Anshul Tomar; Rishabh K. Iyer; Ganesh Ramakrishnan (CoRR, 2021)

GRAD-MATCH: A Gradient Matching Based Data Subset Selection for Efficient Learning. - KrishnaTeja Killamsetty; Durga Sivasubramanian; Baharan Mirzasoleiman; Ganesh Ramakrishnan; Abir De; Rishabh K. Iyer (CoRR, 2021)

PRISM: A Unified Framework of Parameterized Submodular Information Measures for Targeted Data Subset Selection and Summarization. - Vishal Kaushal; Suraj Kothawade; Ganesh Ramakrishnan; Jeff A. Bilmes; Rishabh K. Iyer (CoRR, 2021)

Rudder: A Cross Lingual Video and Text Retrieval Dataset. - Jayaprakash Akula; Abhishek Sharma; Rishabh Dabral; Ganesh Ramakrishnan; Preethi Jyothi (CoRR, 2021)

Cross-Modal learning for Audio-Visual Video Parsing. - Jatin Lamba; Abhishek Sharma; Jayaprakash Akula; Rishabh Dabral; Preethi Jyothi; Ganesh Ramakrishnan (CoRR, 2021)

A Weakly Supervised Model for Solving Math word Problems. - Oishik Chatterjee; Aashish Waikar; Vishwajeet Kumar; Ganesh Ramakrishnan; Kavi Arya (CoRR, 2021)

Submodular Mutual Information for Targeted Data Subset Selection. - Suraj Kothawade; Vishal Kaushal; Ganesh Ramakrishnan; Jeff A. Bilmes; Rishabh K. Iyer (CoRR, 2021)

Effective Evaluation of Deep Active Learning on Image Classification Tasks. - Nathan Beck; Durga Sivasubramanian; Apurva Dani; Ganesh Ramakrishnan; Rishabh K. Iyer (CoRR, 2021)

Personalizing ASR with limited data using targeted subset selection. - Mayank Kothyari; Anmol Reddy Mekala; Rishabh K. Iyer; Ganesh Ramakrishnan; Preethi Jyothi (CoRR, 2021)

PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Data Subset Selection. - Suraj Kothawade; Vishal Kaushal; Ganesh Ramakrishnan; Jeff A. Bilmes; Rishabh K. Iyer (AAAI, 2022)

Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming. - Ayush Maheshwari; KrishnaTeja Killamsetty; Ganesh Ramakrishnan; Rishabh K. Iyer; Marina Danilevsky; Lucian Popa 001 (ACL (Findings), 2022)

WARM: A Weakly (+Semi) Supervised Math Word Problem Solver. - Oishik Chatterjee; Isha Pandey; Aashish Waikar; Vishwajeet Kumar; Ganesh Ramakrishnan (COLING, 2022)

SPEAR : Semi-supervised Data Programming in Python. - Guttu Sai Abhishek; Harshad Ingole; Parth Laturia; Vineeth Dorna; Ayush Maheshwari; Ganesh Ramakrishnan; Rishabh K. Iyer (EMNLP (Demos), 2022)

A Benchmark and Dataset for Post-OCR text correction in Sanskrit. - Ayush Maheshwari; Nikhil Singh 009; Amrith Krishna; Ganesh Ramakrishnan (EMNLP (Findings), 2022)

Partitioned Gradient Matching-based Data Subset Selection for Compute-Efficient Robust ASR Training. - Ashish R. Mittal; Durga Sivasubramanian; Rishabh K. Iyer; Preethi Jyothi; Ganesh Ramakrishnan (EMNLP (Findings), 2022)

VAgyojaka: An Annotating and Post-Editing Tool for Automatic Speech Recognition. - Rishabh Kumar; Devaraja Adiga; Mayank Kothyari; Jatin Dalal; Ganesh Ramakrishnan; Preethi Jyothi (INTERSPEECH, 2022)

Linguistically Informed Post-processing for ASR Error correction in Sanskrit. - Rishabh Kumar; Devaraja Adiga; Rishav Ranjan; Amrith Krishna; Ganesh Ramakrishnan; Pawan Goyal 002; Preethi Jyothi (INTERSPEECH, 2022)

Algorithm identification in programming assignments. - Pranshu Chourasia; Ganesh Ramakrishnan; Varsha Apte; Suraj Kumar (ICPC, 2022)

CLINICAL: Targeted Active Learning for Imbalanced Medical Image Classification. - Suraj Kothawade; Atharv Savarkar; Venkat Iyer; Ganesh Ramakrishnan; Rishabh K. Iyer (MILLanD@MICCAI, 2022)

DIAGNOSE: Avoiding Out-of-Distribution Data Using Submodular Information Measures. - Suraj Kothawade; Akshit Shrivastava; Venkat Iyer; Ganesh Ramakrishnan; Rishabh K. Iyer (MILLanD@MICCAI, 2022)

AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning. - KrishnaTeja Killamsetty; Guttu Sai Abhishek; Aakriti; Ganesh Ramakrishnan; Alexandre V. Evfimievski; Lucian Popa 001; Rishabh K. Iyer (NeurIPS, 2022)

Error Correction in ASR using Sequence-to-Sequence Models. - Samrat Dutta; Shreyansh Jain; Ayush Maheshwari; Ganesh Ramakrishnan; Preethi Jyothi (CoRR, 2022)

ALM-KD: Knowledge Distillation with noisy labels via adaptive loss mixing. - Durga Sivasubramanian; Pradeep Shenoy; Prathosh AP; Ganesh Ramakrishnan (CoRR, 2022)

Submodlib: A Submodular Optimization Library. - Vishal Kaushal; Ganesh Ramakrishnan; Rishabh K. Iyer (CoRR, 2022)

UDAAN - Machine Learning based Post-Editing tool for Document Translation. - Ayush Maheshwari; Ajay Ravindran; Venkatapathy Subramanian; Akshay Jalan; Ganesh Ramakrishnan (CoRR, 2022)

BASIL: Balanced Active Semi-supervised Learning for Class Imbalanced Datasets. - Suraj Kothawade; Pavan Kumar Reddy; Ganesh Ramakrishnan; Rishabh K. Iyer (CoRR, 2022)

Investigating Modality Bias in Audio Visual Video Parsing. - Piyush Singh Pasi; Shubham Nemani; Preethi Jyothi; Ganesh Ramakrishnan (CoRR, 2022)

Counting in the 2020s: Binned Representations and Inclusive Performance Measures for Deep Crowd Counting Approaches. - Sravya Vardhani Shivapuja; Ashwin Gopinath; Ayush Gupta; Ganesh Ramakrishnan; Ravi Kiran Sarvadevabhatla (CoRR, 2022)

CLINICAL: Targeted Active Learning for Imbalanced Medical Image Classification. - Suraj Kothawade; Atharv Savarkar; Venkat Iyer; Lakshman Tamil; Ganesh Ramakrishnan; Rishabh K. Iyer (CoRR, 2022)

AutoML for Climate Change: A Call to Action. - Renbo Tu; Nicholas Roberts; Vishak Prasad; Sibasis Nayak; Paarth Jain; Frederic Sala; Ganesh Ramakrishnan; Ameet Talwalkar; Willie Neiswanger; Colin White (CoRR, 2022)

DICTDIS: Dictionary Constrained Disambiguation for Improved NMT. - Ayush Maheshwari; Piyush Sharma; Preethi Jyothi; Ganesh Ramakrishnan (CoRR, 2022)

Speeding up NAS with Adaptive Subset Selection. - Vishak Prasad C.; Colin White; Paarth Jain; Sibasis Nayak; Ganesh Ramakrishnan (CoRR, 2022)

Adaptive Mixing of Auxiliary Losses in Supervised Learning. - Durga Sivasubramanian; Ayush Maheshwari; Prathosh AP; Pradeep Shenoy; Ganesh Ramakrishnan (AAAI, 2023)

DITTO: Data-efficient and Fair Targeted Subset Selection for ASR Accent Adaptation. - Suraj Kothawade; Anmol Reddy Mekala; D. Chandra Sekhara Hetha Havya; Mayank Kothyari; Rishabh K. Iyer; Ganesh Ramakrishnan; Preethi Jyothi (ACL (1), 2023)

Camaraderie: Content-based Knowledge Transfer for Medical Image Labelling using Supervised Autoencoders in a Decentralized Setting. - Advait Padhye; Shreeja Bhakat; Humaira Firdowse; Atharv Savarkar; Ganesh Ramakrishnan; Kshitij S. Jadhav (CIKM, 2023)

UDAAN - Machine Learning based Post-Editing tool for Document Translation. - Ayush Maheshwari; Ajay Ravindran; Venkatapathy Subramanian; Ganesh Ramakrishnan (COMAD/CODS, 2023)

Data Efficient Machine Learning for Educational Content Creation. - Ganesh Ramakrishnan; Ayush Maheshwari (EDM, 2023)

INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Language Models. - H. S. V. N. S. Kowndinya Renduchintala; Krishnateja Killamsetty; Sumit Bhatia; Milan Aggarwal; Ganesh Ramakrishnan; Rishabh K. Iyer; Balaji Krishnamurthy (EMNLP (Findings), 2023)

TACTFUL: A Framework for Targeted Active Learning for Document Analysis. - Venkatapathy Subramanian; Sagar Poudel; Parag Chaudhuri; Ganesh Ramakrishnan (ICDAR (5), 2023)

Discrete Continuous Optimization Framework for Simultaneous Clustering and Training in Mixture Models. - Parth Vipul Sangani; Arjun Shashank Kashettiwar; Pritish Chakraborty; Bhuvan Reddy Gangula; Durga Sivasubramanian; Ganesh Ramakrishnan; Rishabh K. Iyer; Abir De (ICML, 2023)

Temporally Aligning Long Audio Interviews with Questions: A Case Study in Multimodal Data Integration. - Piyush Singh Pasi; Karthikeya Battepati; Preethi Jyothi; Ganesh Ramakrishnan; Tanmay Mahapatra; Manoj Singh (IJCAI, 2023)

Eigen: Expert-Informed Joint Learning Aggregation for High-Fidelity Information Extraction from Document Images. - Abhishek Singh; Venkatapathy Subramanian; Ayush Maheshwari; Pradeep Narayan; Devi Prasad Shetty; Ganesh Ramakrishnan (ML4H@NeurIPS, 2023)

When Do Neural Nets Outperform Boosted Trees on Tabular Data? - Duncan C. McElfresh; Sujay Khandagale; Jonathan Valverde; Vishak Prasad C.; Ganesh Ramakrishnan; Micah Goldblum; Colin White (NeurIPS, 2023)

Skew-Robust Human-Object Interactions in Videos. - Apoorva Agarwal; Rishabh Dabral; Arjun Jain; Ganesh Ramakrishnan (WACV, 2023)

INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Large Language Models. - H. S. V. N. S. Kowndinya Renduchintala; Krishnateja Killamsetty; Sumit Bhatia; Milan Aggarwal; Ganesh Ramakrishnan; Rishabh K. Iyer; Balaji Krishnamurthy (CoRR, 2023)

Sāmayik: A Benchmark and Dataset for English-Sanskrit Translation. - Ayush Maheshwari; Ashim Gupta; Amrith Krishna; Ganesh Ramakrishnan; G. Anil Kumar; Jitin Singla (CoRR, 2023)

SMART: Submodular Data Mixture Strategy for Instruction Tuning. - H. S. V. N. S. Kowndinya Renduchintala; Sumit Bhatia; Ganesh Ramakrishnan (ACL (Findings), 2024)

Speeding up NAS with Adaptive Subset Selection. - Vishak Prasad C.; Colin White; Sibasis Nayak; Paarth Jain; Aziz Shameem; Prateek Garg; Ganesh Ramakrishnan (AutoML, 2024)

M2IoU: A Min-Max Distance-based Loss Function for Bounding Box Regression in Medical Imaging. - Anurag Shandilya; Kalash Shah; Bhavik Kanekar; Akshat Gautam; Pavni Tandon; Ganesh Ramakrishnan; Kshitij S. Jadhav (CIKM, 2024)

Samayik: A Benchmark and Dataset for English-Sanskrit Translation. - Ayush Maheshwari; Ashim Gupta; Amrith Krishna; Atul Kumar Singh; Ganesh Ramakrishnan; Anil Kumar Gourishetty; Jitin Singla (LREC/COLING, 2024)

FAIR: Filtering of Automatically Induced Rules. - Divya Jyoti Bajpai; Ayush Maheshwari; Manjesh Kumar Hanawal; Ganesh Ramakrishnan (EACL (1), 2024)

Beyond Common Words: Enhancing ASR Cross-Lingual Proper Noun Recognition Using Large Language Models. - Rishabh Kumar; Sabyasachi Ghosh; Ganesh Ramakrishnan (EMNLP (Findings), 2024)

DictDis: Dictionary Constrained Disambiguation for Improved NMT. - Ayush Maheshwari; Preethi Jyothi; Ganesh Ramakrishnan (EMNLP (Findings), 2024)

Few shot chain-of-thought driven reasoning to prompt LLMs for open-ended medical question answering. - Saeel Sandeep Nachane; Ojas Gramopadhye; Prateek Chanda; Ganesh Ramakrishnan; Kshitij Sharad Jadhav; Yatin Nandwani; Dinesh Raghu; Sachindra Joshi (EMNLP (Findings), 2024)

SPRINT: Script-agnostic Structure Recognition in Tables. - Dhruv Kudale; Badri Vishal Kasuba; Venkatapathy Subramanian; Parag Chaudhuri; Ganesh Ramakrishnan (ICDAR (5), 2024)

Bayesian Coreset Optimization for Personalized Federated Learning. - Prateek Chanda; Shrey Modi; Ganesh Ramakrishnan (ICLR, 2024)

Insite: Labelling Medical Images Using Submodular Functions and Semi-Supervised Data Programming. - Akshat Gautam; Anurag Shandilya; Akshit Srivastava; Venkatapathy Subramanian; Ganesh Ramakrishnan; Kshitij S. Jadhav (ISBI, 2024)

Textron: Weakly Supervised Multilingual Text Detection through Data Programming. - Dhruv Kudale; Badri Vishal Kasuba; Venkatapathy Subramanian; Parag Chaudhuri; Ganesh Ramakrishnan (WACV, 2024)

Gradient Coreset for Federated Learning. - Durga Sivasubramanian; Lokesh Nagalapatti; Rishabh K. Iyer; Ganesh Ramakrishnan (WACV, 2024)

Using Early Readouts to Mediate Featural Bias in Distillation. - Rishabh Tiwari; Durga Sivasubramanian; Anmol Reddy Mekala; Ganesh Ramakrishnan; Pradeep Shenoy (WACV, 2024)

LexGen: Domain-aware Multilingual Lexicon Generation. - Karthika NJ; Ayush Maheshwari; Atul Kumar Singh; Preethi Jyothi; Ganesh Ramakrishnan; Krishnakant Bhatt (CoRR, 2024)

A Three-Pronged Approach to Cross-Lingual Adaptation with Multilingual LLMs. - Vaibhav Singh; Amrith Krishna; Karthika NJ; Ganesh Ramakrishnan (CoRR, 2024)

CharSS: Character-Level Transformer Model for Sanskrit Word Segmentation. - Krishnakant Bhatt; Karthika NJ; Ganesh Ramakrishnan; Preethi Jyothi (CoRR, 2024)

INDIC QA BENCHMARK: A Multilingual Benchmark to Evaluate Question Answering capability of LLMs for Indic Languages. - Abhishek Kumar Singh; Rudra Murthy; Vishwajeet Kumar; Jaydeep Sen; Ganesh Ramakrishnan (CoRR, 2024)

Why Gradient Subspace? Identifying and Mitigating LoRA's Bottlenecks in Federated Fine-Tuning of Large Language Models. - Navyansh Mahla; Ganesh Ramakrishnan (CoRR, 2024)

Framework for Co-distillation Driven Federated Learning to Address Class Imbalance in Healthcare. - Suraj Racha; Shubh Gupta; Humaira Firdowse; Aastik Solanki; Ganesh Ramakrishnan; Kshitij S. Jadhav (CoRR, 2024)

StructFormer: Document Structure-based Masked Attention and its Impact on Language Model Pre-Training. - Kaustubh Ponkshe; Venkatapathy Subramanian; Natwar Modani; Ganesh Ramakrishnan (CoRR, 2024)

LexGen: Domain-aware Multilingual Lexicon Generation. - Ayush Maheshwari; Atul Kumar Singh; N. J. Karthika; Krishnakant Bhatt; Preethi Jyothi; Ganesh Ramakrishnan (ACL (1), 2025)

Integrations: Informed Subset Selection Based Generation for Medical Imaging in Resource Constrained Setting. - Bhavik Kanekar; Atharv Savarkar; Ganesh Ramakrishnan; Kshitij S. Jadhav (ISBI, 2025)

Ai-Based Automated Grading of Source Code of Introductory Programming Assignments. - Jayant Havare; Varsha Apte; Kaushikraj Maharajan; Nithin Chandra Gupta Samudrala; Ganesh Ramakrishnan; Srikanth Tamilselvam; Sainath Vavilapalli (ICPC, 2025)

ARISE: Iterative Rule Induction and Synthetic Data Generation for Text Classification. - Yaswanth M; Vaibhav Singh; Ayush Maheshwari; Amrith Krishna; Ganesh Ramakrishnan (NAACL (Findings), 2025)

GuideQ: Framework for Guided Questioning for progressive informational collection and classification. - Priya Mishra; Suraj Racha; Kaustubh Ponkshe; Adit Akarsh; Ganesh Ramakrishnan (NAACL (Findings), 2025)

INDIC QA BENCHMARK: A Multilingual Benchmark to Evaluate Question Answering capability of LLMs for Indic Languages. - Abhishek Kumar Singh; Vishwajeet Kumar; Rudra Murthy; Jaydeep Sen; Ashish R. Mittal; Ganesh Ramakrishnan (NAACL (Findings), 2025)

TA Buddy: AI-Assisted Grading Tool for Introductory Programming Assignments. - Goda Nagakalyani; Saurav Chaudhary; Varsha Apte; Ganesh Ramakrishnan (SIGCSE (2), 2025)

Design and Evaluation of an AI-Assisted Grading Tool for Introductory Programming Assignments: An Experience Report. - Goda Nagakalyani; Saurav Chaudhary; Varsha Apte; Ganesh Ramakrishnan; Srikanth Tamilselvam (SIGCSE (1), 2025)

Unified Wisdom: Harnessing Collaborative Learning to Improve Efficacy of Knowledge Distillation. - Atharva Abhijit Tambat; Durga Sivasubramanian; Ganesh Ramakrishnan; Pradeep Shenoy (Trans. Mach. Learn. Res., 2025)

Semantically Cohesive Word Grouping in Indian Languages. - N. J. Karthika; Adyasha Patra; Nagasai Saketh Naidu; Arnab Bhattacharya 010; Ganesh Ramakrishnan; Chaitali Dangarikar (CoRR, 2025)

ARISE: Iterative Rule Induction and Synthetic Data Generation for Text Classification. - Yashwanth M.; Vaibhav Singh; Ayush Maheshwari; Amrith Krishna; Ganesh Ramakrishnan (CoRR, 2025)

PLATTER: A Page-Level Handwritten Text Recognition System for Indic Scripts. - Badri Vishal Kasuba; Dhruv Kudale; Venkatapathy Subramanian; Parag Chaudhuri; Ganesh Ramakrishnan (CoRR, 2025)

MHQA: A Diverse, Knowledge Intensive Mental Health Question Answering Challenge for Language Models. - Suraj Racha; Prashant Joshi; Anshika Raman; Nikita Jangid; Mridul Sharma; Ganesh Ramakrishnan; Nirmal Punjabi (CoRR, 2025)

MorphTok: Morphologically Grounded Tokenization for Indian Languages. - Maharaj Brahma; N. J. Karthika; Atul Singh; Devaraj Adiga; Smruti Bhate; Ganesh Ramakrishnan; Rohit Saluja; Maunendra Sankar Desarkar (CoRR, 2025)

Early Exit and Multi Stage Knowledge Distillation in VLMs for Video Summarization. - Anas Anwarul Haq Khan; Utkarsh Verma; Prateek Chanda; Ganesh Ramakrishnan (CoRR, 2025)

Inducing Robustness in a 2 Dimensional Direct Preference Optimization Paradigm. - Sarvesh Shashidhar; Ritik; Nachiketa Patil; Suraj Racha; Ganesh Ramakrishnan (CoRR, 2025)

FairPO: Robust Preference Optimization for Fair Multi-Label Learning. - Soumen Kumar Mondal; Akshit Varmora; Prateek Chanda; Ganesh Ramakrishnan (CoRR, 2025)

Language translation, and change of accent for speech-to-speech task using diffusion model. - Abhishek Mishra; Ritesh Sur Chowdhury; Vartul Bahuguna; Isha Pandey; Ganesh Ramakrishnan (CoRR, 2025)

Enhancing Multi-Image Question Answering via Submodular Subset Selection. - Aaryan Sharma; Shivansh Gupta; Samar Agarwal; Vishak Prasad C.; Ganesh Ramakrishnan (CoRR, 2025)

From Plain Text to Poetic Form: Generating Metrically-Constrained Sanskrit Verses. - Manoj Balaji Jagadeeshan; Samarth Bhatia; Pretam Ray; Harshul Raj Surana; Akhil Rajeev P; Priya Mishra; Annarao Kulkarni; Ganesh Ramakrishnan; Prathosh AP; Pawan Goyal 002 (CoRR, 2025)

Multilingual Tokenization through the Lens of Indian Languages: Challenges and Insights. - N. J. Karthika; Maharaj Brahma; Rohit Saluja; Ganesh Ramakrishnan; Maunendra Sankar Desarkar (CoRR, 2025)

DrishtiKon: Multi-Granular Visual Grounding for Text-Rich Document Images. - Badri Vishal Kasuba; Parag Chaudhuri; Ganesh Ramakrishnan (CoRR, 2025)

A Code Comprehension Benchmark for Large Language Models for Code. - Jayant Havare; Saurav Chaudhary; Ganesh Ramakrishnan; Kaushikraj Maharajan; Srikanth Tamilselvam (CoRR, 2025)

Learning What Matters: Probabilistic Task Selection via Mutual Information for Model Finetuning. - Prateek Chanda; Saral Sureka; Parth Pratim Chatterjee; Krishnateja Killamsetty; Nikhil Shivakumar Nayak; Ganesh Ramakrishnan (CoRR, 2025)

PARAM-1 BharatGen 2.9B Model. - Kundeshwar Pundalik; Piyush Sawarkar; Nihar Sahoo; Abhishek Shinde; Prateek Chanda; Vedant Goswami; Ajay Nagpal; Atul Singh; Viraj Thakur; Vijay Dewane; Aamod Thakur; Bhargav Patel; et al. (CoRR, 2025)

A2TTS: TTS for Low Resource Indian Languages. - Ayush Singh Bhadoriya; Abhishek Nikunj Shinde; Isha Pandey; Ganesh Ramakrishnan (CoRR, 2025)

Technical report: Impact of Duration Prediction on Speaker-specific TTS for Indian Languages. - Isha Pandey; Pranav Gaikwad; Amruta Parulekar; Ganesh Ramakrishnan (CoRR, 2025)

Intent Aware Context Retrieval for Multi-Turn Agricultural Question Answering. - Abhay Vijayvargia; Ajay Nagpal; Kundeshwar Pundalik; Atharva Savarkar; Smita Gautam; Pankaj Singh; Rohit Saluja; Ganesh Ramakrishnan (CoRR, 2025)

The Art of Breaking Words: Rethinking Multilingual Tokenizer Design. - Aamod Thakur; Ajay Nagpal; Atharva Savarkar; Kundeshwar Pundalik; Siddhesh Dosi; Piyush Sawarkar; Viraj Thakur; Rohit Saluja; Maunendra Sankar Desarkar; Ganesh Ramakrishnan (CoRR, 2025)

Linguistically informed automatic speech recognition in Sanskrit. - Rishabh Kumar; Devaraja Adiga; Rishav Ranjan; Amrith Krishna; Ganesh Ramakrishnan; Pawan Goyal 002; Preethi Jyothi (Comput. Speech Lang., 2026)