| 2026 | ACL | All Prompts Are Created Equal? Evaluating Robustness of LLM Judges Against Non-Adversarial Prompt Variations. | Savita Bhat, Vasudeva Varma |
| 2026 | AIED | Learning from Giants: Attribution-Aligned Knowledge Distillation for Interpretable ELL Essay Assessment. | Savita Bhat, Vasudeva Varma |
| 2026 | AIED | Decoding Latent Reasoning: Mechanistic Interpretability of Chain of Continuous Thought with Sparse Autoencoders. | Shlok Sand, Chaitanya Shah, Vasudeva Varma |
| 2026 | EAMT | IndicDISCO-MT: A Discourse-Centric Benchmark for Evaluating Discourse Phenomena in Indian Language Machine Translation. | Heli Hingrajiya, Vennela Bairi, Vandan Mujadia, Dipti Misra Sharma, Parameswari Krishnamurthy, Vasudeva Varma |
| 2025 | COLING | Tesla at GenAI Detection Task 2: Fast and Scalable Method for Detection of Academic Essay Authenticity. | Vijayasaradhi Indurthi, Vasudeva Varma |
| 2025 | PAKDD | Enhancing Message Sequence Charts with Spatial Knowledge. | Nitin Ramrakhiyani, Sachin Pawar, Girish K. Palshikar, Vasudeva Varma |
| 2024 | ICSA | Can LLMs Generate Architectural Design Decisions? - An Exploratory Empirical Study. | Rudra Dhar, Karthik Vaidhyanathan, Vasudeva Varma |
| 2024 | ICSA | Leveraging Generative AI for Architecture Knowledge Management. | Rudra Dhar, Karthik Vaidhyanathan, Vasudeva Varma |
| 2024 | NLDB | Generating Entity Embeddings for Populating Wikipedia Knowledge Graph by Notability Detection. | Gokul Thota, Vasudeva Varma |
| 2024 | WWW | A Category-agnostic Graph Attention-based Approach for Determining Notability of Articles for Wikipedia. | Gokul Thota, Vasudeva Varma |
| 2023 | ECAI | XFLT: Exploring Techniques for Generating Cross Lingual Factually Grounded Long Text. | Bhavyajeet Singh, Aditya Hari, Rahul Mehta, Tushar Abhishek, Manish Gupta, Vasudeva Varma |
| 2023 | ECIR | Extracting Orientation Relations between Geo-Political Entities from their Wikipedia Text. | Nitin Ramrakhiyani, Vasudeva Varma, Girish Keshav Palshikar |
| 2023 | EDM | Learning through Wikipedia and Generative AI Technologies. | Praveen Garimella, Vasudeva Varma |
| 2023 | INLG | XF2T: Cross-lingual Fact-to-Text Generation for Low-Resource Languages. | Shivprasad Sagare, Tushar Abhishek, Bhavyajeet Singh, Anubhav Sharma, Manish Gupta, Vasudeva Varma |
| 2023 | RANLP | Generative Models For Indic Languages: Evaluating Content Generation Capabilities. | Savita Bhat, Vasudeva Varma, Niranjan Pedanekar |
| 2023 | WWW | GrapeQA: GRaph Augmentation and Pruning to Enhance Question-Answering. | Dhaval Taunk, Lakshya Khanna, Siri Venkata Pavan Kumar Kandru, Vasudeva Varma, Charu Sharma, Makarand Tapaswi |
| 2023 | WWW | XWikiGen: Cross-lingual Summarization for Encyclopedic Text Generation in Low Resource Languages. | Dhaval Taunk, Shivprasad Sagare, Anupam Patil, Shivansh Subramanian, Manish Gupta, Vasudeva Varma |
| 2022 | JURIX | Investigating Strategies for Clause Recommendation. | Sagar Joshi, Sumanth Balaji, Jerrin Thomas, Aparna Garimella, Vasudeva Varma |
| 2022 | LREC | Leveraging Mental Health Forums for User-level Depression Detection on Social Media. | Sravani Boinepelli, Tathagata Raha, Harika Abburi, Pulkit Parikh, Niyati Chhaya, Vasudeva Varma |
| 2022 | PAKDD | Fact Aware Multi-task Learning for Text Coherence Modeling. | Tushar Abhishek, Daksh Rawat, Manish Gupta, Vasudeva Varma |
| 2022 | WWW | XAlign: Cross-lingual Fact-to-Text Alignment and Generation for Low-Resource Languages. | Tushar Abhishek, Shivprasad Sagare, Bhavyajeet Singh, Anubhav Sharma, Manish Gupta, Vasudeva Varma |
| 2021 | AAAI | Task Adaptive Pretraining of Transformers for Hostility Detection. | Tathagata Raha, Sayar Ghosh Roy, Ujwal Narayan, Zubair Abid, Vasudeva Varma |
| 2021 | CIKM | Goal-Directed Extractive Summarization of Financial Reports. | Yash Agrawal, Vivek Anand, Manish Gupta, S. Arunachalam, Vasudeva Varma |
| 2021 | PAKDD | T | Nikhil Pinnaparaju, Manish Gupta, Vasudeva Varma |
| 2021 | WWW | Hierarchical Model for Goal Guided Summarization of Annual Financial Reports. | Yash Agrawal, Vivek Anand, S. Arunachalam, Vasudeva Varma |
| 2020 | AAAI | Adapting Language Models for Non-Parallel Author-Stylized Rewriting. | Bakhtiyar Syed, Gaurav Verma, Balaji Vasan Srinivasan, Anandhavelu Natarajan, Vasudeva Varma |
| 2020 | ACL | Extracting Message Sequence Charts from Hindi Narrative Text. | Swapnil Hingmire, Nitin Ramrakhiyani, Avinash Kumar Singh, Sangameshwar Patil, Girish Keshav Palshikar, Pushpak Bhattacharyya, Vasudeva Varma |
| 2020 | CIKM | Compression of Deep Learning Models for NLP. | Manish Gupta, Vasudeva Varma, Sonam Damani, Kedhar Nath Narahari |
| 2020 | COLING | Semi-supervised Multi-task Learning for Multi-label Fine-grained Sexism Classification. | Harika Abburi, Pulkit Parikh, Niyati Chhaya, Vasudeva Varma |
| 2020 | COLING | Predicting Clickbait Strength in Online Social Media. | Vijayasaradhi Indurthi, Bakhtiyar Syed, Manish Gupta, Vasudeva Varma |
| 2020 | EMNLP | Summaformers @ LaySumm 20, LongSumm 20. | Sayar Ghosh Roy, Nikhil Pinnaparaju, Risubh Jain, Manish Gupta, Vasudeva Varma |
| 2020 | JURIX | Retrieval of Prior Court Cases Using Witness Testimonies. | Kripabandhu Ghosh, Sachin Pawar, Girish K. Palshikar, Pushpak Bhattacharyya, Vasudeva Varma |
| 2020 | WWW | Semantic Textual Similarity of Sentences with Emojis. | Alok Debnath, Nikhil Pinnaparaju, Manish Shrivastava, Vasudeva Varma, Isabelle Augenstein |
| 2020 | SIGIR | Leveraging Social Media for Medical Text Simplification. | Nikhil Pattisapu, Nishant Prabhu, Smriti Bhati, Vasudeva Varma |
| 2020 | WISE | Fine-grained Multi-label Sexism Classification Using Semi-supervised Learning. | Harika Abburi, Pulkit Parikh, Niyati Chhaya, Vasudeva Varma |
| 2019 | AAAI | Ingredients for Happiness: Modeling constructs via semi-supervised content driven inductive transfer. | Bakhtiyar Syed, Vijayasaradhi Indurthi, Kulin Shah, Manish Gupta, Vasudeva Varma |
| 2019 | ECIR | Domain Adaptive Neural Sentence Compression by Tree Cutting. | Litton J. Kurisinkel, Yue Zhang, Vasudeva Varma |
| 2019 | ECIR | A Simple Neural Approach to Spatial Role Labelling. | Nitin Ramrakhiyani, Girish K. Palshikar, Vasudeva Varma |
| 2019 | ECIR | Inductive Transfer Learning for Detection of Well-Formed Natural Language Search Queries. | Bakhtiyar Syed, Vijayasaradhi Indurthi, Manish Gupta, Manish Shrivastava, Vasudeva Varma |
| 2019 | EMNLP | Multi-label Categorization of Accounts of Sexism using a Neural Framework. | Pulkit Parikh, Harika Abburi, Pinkesh Badjatiya, Radhika Krishnan, Niyati Chhaya, Manish Gupta, Vasudeva Varma |
| 2019 | NAACL | Extraction of Message Sequence Charts from Software Use-Case Descriptions. | Girish Keshav Palshikar, Nitin Ramrakhiyani, Sangameshwar Patil, Sachin Pawar, Swapnil Hingmire, Vasudeva Varma, Pushpak Bhattacharyya |
| 2019 | WWW | Stereotypical Bias Removal for Hate Speech Detection Task using Knowledge-based Generalizations. | Pinkesh Badjatiya, Manish Gupta, Vasudeva Varma |
| 2019 | WWW | MVAE: Multimodal Variational Autoencoder for Fake News Detection. | Dhruv Khattar, Jaipal Singh Goud, Manish Gupta, Vasudeva Varma |
| 2019 | SIGIR | Helium @ CL-SciSumm-19 : Transfer learning for effective scientific research comprehension. | Bakhtiyar Syed, Vijayasaradhi Indurthi, Balaji Vasan Srinivasan, Vasudeva Varma |
| 2019 | WSDM | clstk: The Cross-Lingual Summarization Tool-Kit. | Nisarg Jhaveri, Manish Gupta, Vasudeva Varma |
| 2018 | AAAI | Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization. | Abhishek Kumar Singh, Manish Gupta, Vasudeva Varma |
| 2018 | ACL | Identification of Alias Links among Participants in Narratives. | Sangameshwar Patil, Sachin Pawar, Swapnil Hingmire, Girish Keshav Palshikar, Vasudeva Varma, Pushpak Bhattacharyya |
| 2018 | CIKM | RARE : A Recurrent Attentive Recommendation Engine for News Aggregators. | Dhruv Khattar, Vaibhav Kumar, Shashank Gupta, Manish Gupta, Vasudeva Varma |
| 2018 | CIKM | HRAM: A Hybrid Recurrent Attention Machine for News Recommendation. | Dhruv Khattar, Vaibhav Kumar, Vasudeva Varma, Manish Gupta |
| 2018 | CIKM | Weave&Rec: A Word Embedding based 3-D Convolutional Network for News Recommendation. | Dhruv Khattar, Vaibhav Kumar, Vasudeva Varma, Manish Gupta |
| 2018 | CIKM | Sci-Blogger: A Step Towards Automated Science Journalism. | Raghuram Vadapalli, Bakhtiyar Syed, Nishant Prabhu, Balaji Vasan Srinivasan, Vasudeva Varma |
| 2018 | COMAD | Believe it or not!: identifying bizarre news in online news media. | Vijayasaradhi Indurthi, Subba Reddy Oota, Manish Gupta, Vasudeva Varma |
| 2018 | EAMT | Translation Quality Estimation for Indian Languages. | Nisarg Jhaveri, Manish Gupta, Vasudeva Varma |
| 2018 | ECIR | Multi-task Learning for Extraction of Adverse Drug Reaction Mentions from Tweets. | Shashank Gupta, Manish Gupta, Vasudeva Varma, Sachin Pawar, Nitin Ramrakhiyani, Girish Keshav Palshikar |
| 2018 | ECIR | Co-training for Extraction of Adverse Drug Reaction Mentions from Tweets. | Shashank Gupta, Manish Gupta, Vasudeva Varma, Sachin Pawar, Nitin Ramrakhiyani, Girish Keshav Palshikar |
| 2018 | ECIR | Attention-Based Neural Text Segmentation. | Pinkesh Badjatiya, Litton J. Kurisinkel, Manish Gupta, Vasudeva Varma |
| 2018 | ECIR | Medical Forum Question Classification Using Deep Learning. | Raksha Sanjay Jalan, Manish Gupta, Vasudeva Varma |
| 2018 | ECIR | Neural Content-Collaborative Filtering for News Recommendation. | Dhruv Khattar, Vaibhav Kumar, Manish Gupta, Vasudeva Varma |
| 2018 | EMNLP | When science journalism meets artificial intelligence : An interactive demonstration. | Raghuram Vadapalli, Bakhtiyar Syed, Nishant Prabhu, Balaji Vasan Srinivasan, Vasudeva Varma |
| 2018 | LREC | A Workbench for Rapid Generation of Cross-Lingual Summaries. | Nisarg Jhaveri, Manish Gupta, Vasudeva Varma |
| 2018 | NAACL | ELDEN: Improved Entity Linking Using Densified Knowledge Graphs. | Priya Radhakrishnan, Partha P. Talukdar, Vasudeva Varma |
| 2018 | PACLIC | EquGener: A Reasoning Network for Word Problem Solving by Generating Arithmetic Equations. | Pruthwik Mishra, Litton J. Kurisinkel, Dipti Misra Sharma, Vasudeva Varma |
| 2018 | PAKDD | Tapping Community Memberships and Devising a Novel Homophily Modeling Approach for Trust Prediction. | Pulkit Parikh, Manish Gupta, Vasudeva Varma |
| 2018 | SIGIR | Identifying Clickbait: A Multi-Strategy Approach Using Neural Networks. | Vaibhav Kumar, Dhruv Khattar, Siddhartha Gairola, Yash Kumar Lal, Vasudeva Varma |
| 2017 | CIKM | Hybrid MemNet for Extractive Summarization. | Abhishek Kumar Singh, Manish Gupta, Vasudeva Varma |
| 2017 | CloudCom | An Alternate Load Distribution Scheme in DHTs. | Pulkit Goel, Kumar Rishabh, Vasudeva Varma |
| 2017 | ECIR | Improving Tweet Representations Using Temporal and User Context. | Ganesh J, Manish Gupta, Vasudeva Varma |
| 2017 | ICDM | Leveraging Moderate User Data for News Recommendation. | Dhruv Khattar, Vaibhav Kumar, Vasudeva Varma |
| 2017 | ICDM | User Profiling Based Deep Neural Network for Temporal News Recommendation. | Vaibhav Kumar, Dhruv Khattar, Shashank Gupta, Manish Gupta, Vasudeva Varma |
| 2017 | ICDM | Word Semantics Based 3-D Convolutional Neural Networks for News Recommendation. | Vaibhav Kumar, Dhruv Khattar, Shashank Gupta, Vasudeva Varma |
| 2017 | IJCNLP | Abstractive Multi-document Summarization by Partial Tree Extraction, Recombination and Linearization. | Litton J. Kurisinkel, Yue Zhang, Vasudeva Varma |
| 2017 | IJCNLP | SSAS: Semantic Similarity for Abstractive Summarization. | Raghuram Vadapalli, Litton J. Kurisinkel, Manish Gupta, Vasudeva Varma |
| 2017 | WWW | Deep Learning for Hate Speech Detection in Tweets. | Pinkesh Badjatiya, Shashank Gupta, Manish Gupta, Vasudeva Varma |
| 2017 | WWW | Scientific Article Recommendation by using Distributed Representations of Text and Graph. | Shashank Gupta, Vasudeva Varma |
| 2017 | SIGIR | Enhancing Categorization of Computer Science Research Papers using Knowledge Bases. | Shashank Gupta, Priya Radhakrishnan, Manish Gupta, Vasudeva Varma, Umang Gupta |
| 2016 | COLING | Towards Sub-Word Level Compositions for Sentiment Analysis of Hindi-English Code Mixed Text. | Aditya Joshi, Ameya Prabhu, Manish Shrivastava, Vasudeva Varma |
| 2016 | ICDM | Query-Based Evolutionary Graph Cuboid Outlier Detection. | Ayushi Dalmia, Manish Gupta, Vasudeva Varma |
| 2016 | ICWSM | TweetGrep: Weakly Supervised Joint Retrieval and Sentiment Analysis of Topical Tweets. | Satarupa Guha, Tanmoy Chakraborty, Samik Datta, Mohit Kumar, Vasudeva Varma |
| 2016 | NAACL | Non-decreasing Sub-modular Function for Comprehensible Summarization. | Litton J. Kurisinkel, Pruthwik Mishra, Vigneshwaran Muralidaran, Vasudeva Varma, Dipti Misra Sharma |
| 2016 | WWW | Author2Vec: Learning Author Representations by Combining Content and Link Information. | Ganesh J, Soumyajit Ganguly, Manish Gupta, Vasudeva Varma, Vikram Pudi |
| 2016 | SIGIR | Doc2Sent2Vec: A Novel Two-Phase Approach for Learning Document Representation. | Ganesh J, Manish Gupta, Vasudeva Varma |
| 2015 | APSEC | A Case Study on Teaching Software Engineering Concepts using a Case-Based Learning Environment. | Kirti Garg, Ashish Sureka, Vasudeva Varma |
| 2015 | CCGRID | Adaptive Load-Balancing for Consistent Hashing in Heterogeneous Clusters. | Lakshminarayan Srinivasan, Vasudeva Varma |
| 2015 | ECIR | Towards Deep Semantic Analysis of Hashtags. | Piyush Bansal, Romil Bansal, Vasudeva Varma |
| 2015 | WWW | Towards Semantic Retrieval of Hashtags in Microblogs. | Piyush Bansal, Somay Jain, Vasudeva Varma |
| 2014 | CIKM | Structured Information Extraction from Natural Disaster Events on Twitter. | Sandeep Panem, Manish Gupta, Vasudeva Varma |
| 2014 | ECIR | EDIUM: Improving Entity Disambiguation via User Modeling. | Romil Bansal, Sandeep Panem, Manish Gupta, Vasudeva Varma |
| 2014 | ECIR | Entity Tracking in Real-Time Using Sub-topic Detection on Twitter. | Sandeep Panem, Romil Bansal, Manish Gupta, Vasudeva Varma |
| 2014 | ICSE | Supporting comprehension of unfamiliar programs by modeling an expert's perception. | Naveen Kulkarni, Vasudeva Varma |
| 2014 | LREC | Enrichment of Bilingual Dictionary through News Stream Data. | Ajay Dubey, Parth Gupta, Vasudeva Varma, Paolo Rosso |
| 2014 | WWW | Seed selection for domain-specific search. | Pattisapu Nikhil Priyatam, Ajay Dubey, Krish Perumal, Sai Praneeth, Dharmesh Kakadia, Vasudeva Varma |
| 2014 | SIGIR | CharBoxes: a system for automatic discovery of character infoboxes from books. | Manish Gupta, Piyush Bansal, Vasudeva Varma |
| 2014 | SIGIR | Exploiting Wikipedia inlinks for linking entities in queries. | Priya Radhakrishnan, Romil Bansal, Manish Gupta, Vasudeva Varma |
| 2014 | SIGIR | Modeling the evolution of product entities. | Priya Radhakrishnan, Manish Gupta, Vasudeva Varma |
| 2013 | CICLING | A Knowledge Induced Graph-Theoretical Model for Extract and Abstract Single Document Summarization. | Niraj Kumar, Kannan Srinathan, Vasudeva Varma |
| 2013 | CIKM | Extracting semantic knowledge from Wikipedia category names. | Priya Radhakrishnan, Vasudeva Varma |
| 2013 | CloudCom | Network Virtualization Platform for Hybrid Cloud. | Dharmesh Kakadia, Vasudeva Varma |
| 2013 | ECIR | Leveraging Latent Concepts for Retrieving Relevant Ads for Short Text. | Ankit Patil, Kushal S. Dave, Vasudeva Varma |
| 2013 | ECIR | Topic-Focused Summarization of Chat Conversations. | Arpit Sood, Thanvir P. Mohamed, Vasudeva Varma |
| 2013 | KDD | Online debate summarization using topic directed sentiment analysis. | Sarvesh Ranade, Jayant Gupta, Vasudeva Varma, Radhika Mamidi |
| 2013 | WWW | Timespent based models for predicting user retention. | Kushal S. Dave, Vishal Vaingankar, Sumanth Kolar, Vasudeva Varma |
| 2013 | SC | Network-aware virtual machine consolidation for large data centers. | Dharmesh Kakadia, Nandish Kopri, Vasudeva Varma |
| 2012 | CICLING | Using Graph Based Mapping of Co-occurring Words and Closeness Centrality Score for Summarization Evaluation. | Niraj Kumar, Kannan Srinathan, Vasudeva Varma |
| 2012 | CICLING | Using Wikipedia Anchor Text and Weighted Clustering Coefficient to Enhance the Traditional Multi-document Summarization. | Niraj Kumar, Kannan Srinathan, Vasudeva Varma |
| 2012 | CICLING | Web Image Annotation Using an Effective Term Weighting. | Vundavalli Srinivasarao, Vasudeva Varma |
| 2012 | CIKM | Twitter user behavior understanding with mood transition prediction. | Aditya Mogadala, Vasudeva Varma |
| 2012 | ICWSM | Identifying Microblogs for Targeted Contextual Advertising. | Kushal Shailesh Dave, Vasudeva Varma |
| 2012 | LREC | Hindi Subjective Lexicon: A Lexical Resource for Hindi Adjective Polarity Classification. | Akshat Bakliwal, Piyush Arora, Vasudeva Varma |
| 2012 | PACLIC | Language Independent Sentence-Level Subjectivity Analysis with Feature Selection. | Aditya Mogadala, Vasudeva Varma |
| 2011 | APWEB | Effective Term Weighting in ALT Text Prediction for Web Image Retrieval. | Vundavalli Srinivasarao, Prasad Pingali, Vasudeva Varma |
| 2011 | CICLING | Ranking Multilingual Documents Using Minimal Language Dependent Resources. | G. S. K. Santosh, N. Kiran Kumar, Vasudeva Varma |
| 2011 | CIKM | Learning to rank categories for web queries. | Prashant Ullegaddi, Vasudeva Varma |
| 2011 | CIKM | Patent search using IPC classification vectors. | Manisha Verma, Vasudeva Varma |
| 2011 | CloudCom | Job Aware Scheduling Algorithm for MapReduce Framework. | Radheshyam Nanduri, Nitesh Maheshwari, A. Reddyraja, Vasudeva Varma |
| 2011 | ICAIL | Applying key phrase extraction to aid invalidity search. | Manisha Verma, Vasudeva Varma |
| 2011 | IJCNLP | Domain Independent Model for Product Attribute Extraction from User Reviews using Wikipedia. | Sudheer Kovelamudi, Sethu Ramalingam, Arpit Sood, Vasudeva Varma |
| 2011 | ICWSM | Modelling Action Cascades in Social Networks. | Kushal Shailesh Dave, Rushi Bhatt, Vasudeva Varma |
| 2011 | NLDB | Effectively Mining Wikipedia for Clustering Multilingual Documents. | N. Kiran Kumar, G. S. K. Santosh, Vasudeva Varma |
| 2011 | WWW | Language independent identification of parallel sentences using Wikipedia. | Rohit G. Bharadwaj, Vasudeva Varma |
| 2011 | SIGIR | Tossing coins to trim long queries. | Sudip Datta, Vasudeva Varma |
| 2010 | AINA | SAGE: An Approach to Evaluate the Impact of SOA Governance Policies. | Amit Sangroya, Kirti Garg, Vasudeva Varma |
| 2010 | CIKM | Pattern based keyword extraction for contextual advertising. | Kushal S. Dave, Vasudeva Varma |
| 2010 | CIKM | A weighted tag similarity measure based on a collaborative weight model. | Gokavarapu Srinivas, Niket Tandon, Vasudeva Varma |
| 2010 | COLING | Generating Simulated Relevance Feedback: A Prognostic Search approach. | Nithin Kumar, Vasudeva Varma |
| 2010 | COMAD | Evaluating Information Coverage in Machine Generated Summary and Variable Length Documents. | Niraj Kumar, Kannan Srinathan, Vasudeva Varma |
| 2010 | IC3K | Exploiting N-gram Importance and Wikipedia based Additional Knowledge for Improvements in GAAC based Document Clustering. | Niraj Kumar, Venkata Vinay Babu Vemula, Kannan Srinathan, Vasudeva Varma |
| 2010 | IC3K | Query Processing for Enterprise Search with Wikipedia Link Structure. | Nihar Sharma, Vasudeva Varma |
| 2010 | Interspeech | Prominence based scoring of speech segments for automatic speech-to-speech summarization. | Sree Harsha Yella, Vasudeva Varma, Kishore Prahallad |
| 2010 | WWW | An information retrieval approach to spelling suggestion. | Sai Krishna, Prasad Pingali, Vasudeva Varma |
| 2010 | SIGIR | Learning the click-through rate for rare/new ads from similar ads. | Kushal S. Dave, Vasudeva Varma |
| 2009 | ACL | Query-Focused Summaries or Query-Biased Summaries? | Rahul Katragadda, Vasudeva Varma |
| 2009 | CICLING | Estimating Risk of Picking a Sentence for Document Summarization. | Chandan Kumar, Prasad Pingali, Vasudeva Varma |
| 2009 | ECIR | An Unsupervised Approach to Product Attribute Extraction. | Santosh Raju, Prasad Pingali, Vasudeva Varma |
| 2009 | OOPSLA | Building a semantic virtual museum: from Wiki to semantic Wiki using named entity recognition. | Alain Plantec, Vincent Ribaud, Vasudeva Varma |
| 2009 | PACLIC | Passage Retrieval Using Answer Type Profiles in Question Answering. | Surya Ganesh Veeravalli, Vasudeva Varma |
| 2009 | RANLP | Exploiting the Use of Prior Probabilities for Passage Retrieval in Question Answering. | Surya Ganesh, Vasudeva Varma |
| 2009 | RANLP | Exploiting Structure and Content of Wikipedia for Query Expansion in the Context. | Surya Ganesh, Vasudeva Varma |
| 2009 | SAC | A light-weight summarizer based on language model with relative entropy. | Chandan Kumar, Prasad Pingali, Vasudeva Varma |
| 2009 | SIGIR | Experiments in CLIR using fuzzy string search based on surface similarity. | Sethuramalingam Subramaniam, Anil Kumar Singh, Pradeep Dasigi, Vasudeva Varma |
| 2008 | IJCNLP | Statistical Transliteration for Cross Language Information Retrieval using HMM alignment model and CRF. | Prasad Pingali, Surya Ganesh, Sree Harsha Yella, Vasudeva Varma |
| 2008 | IJCNLP | Hindi and Telugu to English CLIR using Query Expansion. | Prasad Pingali, Vasudeva Varma |
| 2008 | IJCNLP | Statistical Machine Translation Models for Personalized Search. | U. Rohini, Vamshi Ambati, Vasudeva Varma |
| 2008 | IJCNLP | Experiments in Telugu NER: A Conditional Random Field Approach. | Praneeth Shishtla, Karthik Gali, Prasad Pingali, Vasudeva Varma |
| 2008 | IJCNLP | A Character n-gram Based Approach for Improved Recall in Indian Language NER. | Praneeth Shishtla, Prasad Pingali, Vasudeva Varma |
| 2006 | APSEC | Security: Bridging the Academia-Industry Gap Using a Case Study. | Kirti Garg, Vasudeva Varma, K. N. Giridhar, Abhishek K. Mishra |
| 2006 | WWW | WebKhoj: Indian language IR from multiple character encodings. | Prasad Pingali, Jagadeesh Jagarlamudi, Vasudeva Varma |