A Unified Framework for Link Recommendation Using Random Walks. - Zhijun Yin; Manish Gupta 001; Tim Weninger; Jiawei Han 001 (ASONAM, 2010)

Shallow Information Extraction from Medical Forum Data. - Parikshit Sondhi; Manish Gupta 001; ChengXiang Zhai; Julia Hockenmaier (COLING (Posters), 2010)

Community evolution detection in dynamic heterogeneous information networks. - Yizhou Sun; Jie Tang 001; Jiawei Han 001; Manish Gupta 001; Bo Zhao 001 (MLG@KDD, 2010)

LINKREC: a unified framework for link recommendation with user attributes and graph structure. - Zhijun Yin; Manish Gupta 001; Tim Weninger; Jiawei Han 001 (WWW, 2010)

Survey on social tagging techniques. - Manish Gupta 001; Rui Li 049; Zhijun Yin; Jiawei Han 001 (SIGKDD Explor., 2010)

An Overview of Social Tagging and Applications. - Manish Gupta 001; Rui Li 049; Zhijun Yin; Jiawei Han 001 (Social Network Data Analytics, 2011)

Evolutionary Clustering and Analysis of Bibliographic Networks. - Manish Gupta 001; Charu C. Aggarwal; Jiawei Han 001; Yizhou Sun (ASONAM, 2011)

Co-author Relationship Prediction in Heterogeneous Bibliographic Networks. - Yizhou Sun; Rick Barber; Manish Gupta 001; Charu C. Aggarwal; Jiawei Han 001 (ASONAM, 2011)

On Bayesian interpretation of fact-finding in information networks. - Dong Wang 002; Tarek F. Abdelzaher; Hossein Ahmadi 001; Jeff Pasternack; Dan Roth 001; Manish Gupta 001; Jiawei Han 001; Omid Fatemieh; Hieu Khac Le; Charu C. Aggarwal (FUSION, 2011)

Apollo: Towards factfinding in participatory sensing. - Hieu Khac Le; Jeff Pasternack; Hossein Ahmadi 001; Manish Gupta 001; Yizhou Sun; Tarek F. Abdelzaher; Jiawei Han 001; Dan Roth 001; Boleslaw K. Szymanski; Sibel Adali (IPSN, 2011)

Finding Top-k Shortest Path Distance Changes in an Evolutionary Network. - Manish Gupta 001; Charu C. Aggarwal; Jiawei Han 001 (SSTD, 2011)

Trust analysis with clustering. - Manish Gupta 001; Yizhou Sun; Jiawei Han 001 (WWW (Companion Volume), 2011)

Heterogeneous network-based trust analysis: a survey. - Manish Gupta 001; Jiawei Han 001 (SIGKDD Explor., 2011)

Predicting future popularity trend of events in microblogging platforms. - Manish Gupta 001; Jing Gao 004; ChengXiang Zhai; Jiawei Han 001 (ASIST, 2012)

Integrating community matching and outlier detection for mining evolutionary community outliers. - Manish Gupta 001; Jing Gao 004; Yizhou Sun; Jiawei Han 001 (KDD, 2012)

Community Trend Outlier Detection Using Soft Temporal Pattern Mining. - Manish Gupta 001; Jing Gao 004; Yizhou Sun; Jiawei Han 001 (ECML/PKDD (2), 2012)

Evaluating Event Credibility on Twitter. - Manish Gupta 001; Peixiang Zhao 001; Jiawei Han 001 (SDM, 2012)

On detecting association-based clique outliers in heterogeneous information networks. - Manish Gupta 001; Jing Gao 004; Xifeng Yan; Hasan Cam; Jiawei Han 001 (ASONAM, 2013)

Community Distribution Outlier Detection in Heterogeneous Information Networks. - Manish Gupta 001; Jing Gao 004; Jiawei Han 001 (ECML/PKDD (1), 2013)

Outlier detection for information networks - Manish Gupta 001 (2013)

Structured Information Extraction from Natural Disaster Events on Twitter. - Sandeep Panem; Manish Gupta 001; Vasudeva Varma (Web-KRM@CIKM, 2014)

EDIUM: Improving Entity Disambiguation via User Modeling. - Romil Bansal; Sandeep Panem; Manish Gupta 001; Vasudeva Varma (ECIR, 2014)

Entity Tracking in Real-Time Using Sub-topic Detection on Twitter. - Sandeep Panem; Romil Bansal; Manish Gupta 001; Vasudeva Varma (ECIR, 2014)

Top-K interesting subgraph discovery in information networks. - Manish Gupta 001; Jing Gao 004; Xifeng Yan; Hasan Cam; Jiawei Han 001 (ICDE, 2014)

Linking Entities in #Microposts. - Romil Bansal; Sandeep Panem; Priya Radhakrishnan; Manish Gupta 001; Vasudeva Varma (#MSM, 2014)

Local Learning for Mining Outlier Subgraphs from Network Datasets. - Manish Gupta 001; Arun Mallya; Subhro Roy; Jason H. D. Cho; Jiawei Han 001 (SDM, 2014)

CharBoxes: a system for automatic discovery of character infoboxes from books. - Manish Gupta 001; Piyush Bansal; Vasudeva Varma (SIGIR, 2014)

Exploiting Wikipedia inlinks for linking entities in queries. - Priya Radhakrishnan; Romil Bansal; Manish Gupta 001; Vasudeva Varma (ERD@SIGIR, 2014)

Modeling the evolution of product entities. - Priya Radhakrishnan; Manish Gupta 001; Vasudeva Varma (SIGIR, 2014)

Exploiting Wikipedia Categorization for Predicting Age and Gender of Blog Authors. - K. Santosh; Aditya Joshi; Manish Gupta 001; Vasudeva Varma (UMAP Workshops, 2014)

Cross market modeling for query-entity matching. - Manish Gupta 001; Prashant Borole; Praful Hebbar; Rupesh Kumar Mehta; Niranjan Nayak (WWW (Companion Volume), 2014)

Towards a social media analytics platform: event detection and user profiling for twitter. - Manish Gupta 001; Rui Li 049; Kevin Chen-Chuan Chang (WWW (Companion Volume), 2014)

Outlier Detection for Temporal Data: A Survey. - Manish Gupta 001; Jing Gao 004; Charu C. Aggarwal; Jiawei Han 001 (IEEE Trans. Knowl. Data Eng., 2014)

Co-Evolution of Multi-Typed Objects in Dynamic Star Networks. - Yizhou Sun; Jie Tang 001; Jiawei Han 001; Cheng Chen; Manish Gupta 001 (IEEE Trans. Knowl. Data Eng., 2014)

Outlier Detection for Temporal Data - Manish Gupta 001; Jing Gao 004; Charu C. Aggarwal; Jiawei Han 001 (Morgan & Claypool Publishers, 2014)

Query-based Graph Cuboid Outlier Detection. - Ayushi Dalmia; Manish Gupta 001; Vasudeva Varma (ASONAM, 2015)

IIIT-H at SemEval 2015: Twitter Sentiment Analysis - The Good, the Bad and the Neutral! - Ayushi Dalmia; Manish Gupta 001; Vasudeva Varma (SemEval@NAACL-HLT, 2015)

CricketLinking: Linking Event Mentions from Cricket Match Reports to Ball Entities in Commentaries. - Manish Gupta 001 (SIGIR, 2015)

Information Retrieval with Verbose Queries. - Manish Gupta 001; Michael Bendersky (Found. Trends Inf. Retr., 2015)

Query-Based Evolutionary Graph Cuboid Outlier Detection. - Ayushi Dalmia; Manish Gupta 001; Vasudeva Varma (ICDM Workshops, 2016)

Predicting Post-operative Visual Acuity for LASIK Surgeries. - Manish Gupta 001; Prashant Gupta; Pravin K. Vaddavalli; Asra Fatima (PAKDD (1), 2016)

Doc2Sent2Vec: A Novel Two-Phase Approach for Learning Document Representation. - Ganesh J; Manish Gupta 001; Vasudeva Varma (SIGIR, 2016)

Author2Vec: Learning Author Representations by Combining Content and Link Information. - Ganesh J; Soumyajit Ganguly; Manish Gupta 001; Vasudeva Varma; Vikram Pudi (WWW (Companion Volume), 2016)

Interpreting the Syntactic and Social Elements of the Tweet Representations via Elementary Property Prediction Tasks. - Ganesh J; Manish Gupta 001; Vasudeva Varma (CoRR, 2016)

Community-based Outlier Detection for Edge-attributed Graphs. - Supriya Pandhre; Manish Gupta 001; Vineeth N. Balasubramanian (CoRR, 2016)

Simultaneous Inference of User Representations and Trust. - Shashank Gupta 001; Pulkit Parikh; Manish Gupta 001; Vasudeva Varma (ASONAM, 2017)

Interpretation of Semantic Tweet Representations. - Ganesh J; Manish Gupta 001; Vasudeva Varma (ASONAM, 2017)

Extracting Social Lists from Twitter. - Ankan Mullick; Pawan Goyal 002; Niloy Ganguly; Manish Gupta 001 (ASONAM, 2017)

Medical Persona Classification in Social Media. - Pattisapu Nikhil Priyatam; Manish Gupta 001; Ponnurangam Kumaraguru; Vasudeva Varma (ASONAM, 2017)

Hybrid MemNet for Extractive Summarization. - Abhishek Kumar Singh; Manish Gupta 001; Vasudeva Varma (CIKM, 2017)

Deep Neural Architecture for News Recommendation. - Vaibhav Kumar; Dhruv Khattar; Shashank Gupta 001; Manish Gupta 001; Vasudeva Varma (CLEF (Working Notes), 2017)

Improving Tweet Representations Using Temporal and User Context. - Ganesh J; Manish Gupta 001; Vasudeva Varma (ECIR, 2017)

User Profiling Based Deep Neural Network for Temporal News Recommendation. - Vaibhav Kumar; Dhruv Khattar; Shashank Gupta 001; Manish Gupta 001; Vasudeva Varma (ICDM Workshops, 2017)

SSAS: Semantic Similarity for Abstractive Summarization. - Raghuram Vadapalli; Litton J. Kurisinkel; Manish Gupta 001; Vasudeva Varma (IJCNLP(2), 2017)

Enhancing Categorization of Computer Science Research Papers using Knowledge Bases. - Shashank Gupta 001; Priya Radhakrishnan; Manish Gupta 001; Vasudeva Varma; Umang Gupta (KG4IR@SIGIR, 2017)

Deep Learning for Hate Speech Detection in Tweets. - Pinkesh Badjatiya; Shashank Gupta 001; Manish Gupta 001; Vasudeva Varma (WWW (Companion Volume), 2017)

SNEIT: Salient Named Entity Identification in Tweets. - Priya Radhakrishnan; Ganesh Jawahar; Manish Gupta 001; Vasudeva Varma (Computación y Sistemas, 2017)

Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization. - Abhishek Kumar Singh; Manish Gupta 001; Vasudeva Varma (AAAI, 2018)

Higher-order Relation Schema Induction using Tensor Factorization with Back-off and Aggregation. - Madhav Nimishakavi; Manish Gupta 001; Partha P. Talukdar (ACL (1), 2018)

RARE : A Recurrent Attentive Recommendation Engine for News Aggregators. - Dhruv Khattar; Vaibhav Kumar; Shashank Gupta 001; Manish Gupta 001; Vasudeva Varma (CIKM Workshops, 2018)

HRAM: A Hybrid Recurrent Attention Machine for News Recommendation. - Dhruv Khattar; Vaibhav Kumar; Vasudeva Varma; Manish Gupta 001 (CIKM, 2018)

Weave&Rec: A Word Embedding based 3-D Convolutional Network for News Recommendation. - Dhruv Khattar; Vaibhav Kumar; Vasudeva Varma; Manish Gupta 001 (CIKM, 2018)

Inductive Framework for Multi-Aspect Streaming Tensor Completion with Side Information. - Madhav Nimishakavi; Bamdev Mishra; Manish Gupta 001; Partha Pratim Talukdar (CIKM, 2018)

Believe it or not!: identifying bizarre news in online news media. - Vijayasaradhi Indurthi; Subba Reddy Oota; Manish Gupta 001; Vasudeva Varma (COMAD/CODS, 2018)

STwalk: learning trajectory representations in temporal graphs. - Supriya Pandhre; Himangi Mittal; Manish Gupta 001; Vineeth N. Balasubramanian (COMAD/CODS, 2018)

Translation Quality Estimation for Indian Languages. - Nisarg Jhaveri; Manish Gupta 001; Vasudeva Varma (EAMT, 2018)

Multi-task Learning for Extraction of Adverse Drug Reaction Mentions from Tweets. - Shashank Gupta 001; Manish Gupta 001; Vasudeva Varma; Sachin Pawar; Nitin Ramrakhiyani; Girish Keshav Palshikar (ECIR, 2018)

Co-training for Extraction of Adverse Drug Reaction Mentions from Tweets. - Shashank Gupta 001; Manish Gupta 001; Vasudeva Varma; Sachin Pawar; Nitin Ramrakhiyani; Girish Keshav Palshikar (ECIR, 2018)

Attention-Based Neural Text Segmentation. - Pinkesh Badjatiya; Litton J. Kurisinkel; Manish Gupta 001; Vasudeva Varma (ECIR, 2018)

Medical Forum Question Classification Using Deep Learning. - Raksha Sanjay Jalan; Manish Gupta 001; Vasudeva Varma (ECIR, 2018)

Neural Content-Collaborative Filtering for News Recommendation. - Dhruv Khattar; Vaibhav Kumar; Manish Gupta 001; Vasudeva Varma (NewsIR@ECIR, 2018)

A Workbench for Rapid Generation of Cross-Lingual Summaries. - Nisarg Jhaveri; Manish Gupta 001; Vasudeva Varma (LREC, 2018)

Tapping Community Memberships and Devising a Novel Homophily Modeling Approach for Trust Prediction. - Pulkit Parikh; Manish Gupta 001; Vasudeva Varma (PAKDD (3), 2018)

Under the Shadow of Sunshine: Characterizing Spam Campaigns Abusing Phone Numbers Across Online Social Networks. - Srishti Gupta 003; Dhruv Kuchhal; Payas Gupta; Mustaque Ahamad; Manish Gupta 001; Ponnurangam Kumaraguru (WebSci, 2018)

Towards Interpretation of Node Embeddings. - Ayushi Dalmia; Ganesh J; Manish Gupta 001 (WWW (Companion Volume), 2018)

Harnessing Twitter for Answering Opinion List Queries. - Ankan Mullick; Pawan Goyal 002; Niloy Ganguly; Manish Gupta 001 (IEEE Trans. Comput. Soc. Syst., 2018)

Ingredients for Happiness: Modeling constructs via semi-supervised content driven inductive transfer. - Bakhtiyar Syed; Vijayasaradhi Indurthi; Kulin Shah; Manish Gupta 001; Vasudeva Varma (AffCon@AAAI, 2019)

Multi-task Learning for Fine-Grained Eye Disease Prediction. - Sahil Chelaramani; Manish Gupta 001; Vipul Agarwal; Prashant Gupta; Ranya Habash (ACPR (2), 2019)

Inductive Transfer Learning for Detection of Well-Formed Natural Language Search Queries. - Bakhtiyar Syed; Vijayasaradhi Indurthi; Manish Gupta 001; Manish Shrivastava 001; Vasudeva Varma (ECIR (2), 2019)

Multi-label Categorization of Accounts of Sexism using a Neural Framework. - Pulkit Parikh; Harika Abburi; Pinkesh Badjatiya; Radhika Krishnan; Niyati Chhaya; Manish Gupta 001; Vasudeva Varma (EMNLP/IJCNLP (1), 2019)

Elites Tweet? Characterizing the Twitter Verified User Network. - Indraneil Paul; Abhinav Khattar; Ponnurangam Kumaraguru; Manish Gupta 001; Shaan Chopra (ICDE Workshops, 2019)

StepEncog: A Convolutional LSTM Autoencoder for Near-Perfect fMRI Encoding. - Subba Reddy Oota; Vijay Rowtula; Manish Gupta 001; Raju S. Bapi (IJCNN, 2019)

Fermi at SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media using Sentence Embeddings. - Vijayasaradhi Indurthi; Bakhtiyar Syed; Manish Shrivastava 001; Manish Gupta 001; Vasudeva Varma (SemEval@NAACL-HLT, 2019)

FERMI at SemEval-2019 Task 5: Using Sentence embeddings to Identify Hate Speech Against Immigrants and Women in Twitter. - Vijayasaradhi Indurthi; Bakhtiyar Syed; Manish Shrivastava 001; Nikhil Chakravartula; Manish Gupta 001; Vasudeva Varma (SemEval@NAACL-HLT, 2019)

Fermi at SemEval-2019 Task 8: An elementary but effective approach to Question Discernment in Community QA Forums. - Bakhtiyar Syed; Vijayasaradhi Indurthi; Manish Shrivastava 001; Manish Gupta 001; Vasudeva Varma (SemEval@NAACL-HLT, 2019)

What sets Verified Users apart?: Insights, Analysis and Prediction of Verified Users on Twitter. - Indraneil Paul; Abhinav Khattar; Shaan Chopra; Ponnurangam Kumaraguru; Manish Gupta 001 (WebSci, 2019)

clstk: The Cross-Lingual Summarization Tool-Kit. - Nisarg Jhaveri; Manish Gupta 001; Vasudeva Varma (WSDM, 2019)

Stereotypical Bias Removal for Hate Speech Detection Task using Knowledge-based Generalizations. - Pinkesh Badjatiya; Manish Gupta 001; Vasudeva Varma (WWW, 2019)

MVAE: Multimodal Variational Autoencoder for Fake News Detection. - Dhruv Khattar; Jaipal Singh Goud; Manish Gupta 001; Vasudeva Varma (WWW, 2019)

A distant supervision based approach to medical persona classification. - Pattisapu Nikhil Priyatam; Manish Gupta 001; Ponnurangam Kumaraguru; Vasudeva Varma (J. Biomed. Informatics, 2019)

Compression of Deep Learning Models for NLP. - Manish Gupta 001; Vasudeva Varma; Sonam Damani; Kedhar Nath Narahari (CIKM, 2020)

Transformer Models for Recommending Related Questions in Web Search. - Rajarshee Mitra; Manish Gupta 001; Sandipan Dandapat (CIKM, 2020)

AbuseAnalyzer: Abuse Detection, Severity and Target Prediction for Gab Posts. - Mohit Chandra; Ashwin Pathak; Eesha Dutta; Paryul Jain; Manish Gupta 001; Manish Shrivastava 001; Ponnurangam Kumaraguru (COLING, 2020)

Predicting Clickbait Strength in Online Social Media. - Vijayasaradhi Indurthi; Bakhtiyar Syed; Manish Gupta 001; Vasudeva Varma (COLING, 2020)

Summaformers @ LaySumm 20, LongSumm 20. - Sayar Ghosh Roy; Nikhil Pinnaparaju; Risubh Jain; Manish Gupta 001; Vasudeva Varma (SDP@EMNLP, 2020)

Region of Interest Identification for Cervical Cancer Images. - Manish Gupta 001; Chetna Das; Arnab Roy 008; Prashant Gupta; G. Radhakrishna Pillai; Kamlakar Patole (ISBI, 2020)

Rehoboam at the NTCIR-15 SHINRA2020-ML Task. - Tushar Abhishek; Ayush Agarwal; Anubhav Sharma; Vasudeva Varma; Manish Gupta 001 (NTCIR, 2020)

Optimized Transformer Models for FAQ Answering. - Sonam Damani; Kedhar Nath Narahari; Ankush Chatterjee; Manish Gupta 001; Puneet Agrawal (PAKDD (1), 2020)

FAQAugmenter: Suggesting Questions for Enterprise FAQ Pages. - Ankush Chatterjee; Manish Gupta 001; Puneet Agrawal (WSDM, 2020)

SCATE: shared cross attention transformer encoders for multimodal fake news detection. - Tanmay Sachan; Nikhil Pinnaparaju; Manish Gupta 001; Vasudeva Varma (ASONAM, 2021)

Goal-Directed Extractive Summarization of Financial Reports. - Yash Agrawal; Vivek Anand; Manish Gupta 001; S. Arunachalam; Vasudeva Varma (CIKM, 2021)

Event Related Data Collection from Microblog Streams. - Manoj K. Agarwal; Animesh Baranawal; Yogesh Simmhan; Manish Gupta 001 (DEXA (2), 2021)

Zero-shot Multi-lingual Interrogative Question Generation for "People Also Ask" at Bing. - Rajarshee Mitra; Rhea Jain; Aditya Srikanth Veerubhotla; Manish Gupta 001 (KDD, 2021)

T3N: Harnessing Text and Temporal Tree Network for Rumor Detection on Twitter. - Nikhil Pinnaparaju; Manish Gupta 001; Vasudeva Varma (PAKDD (1), 2021)

Multi-Task Knowledge Distillation for Eye Disease Prediction. - Sahil Chelaramani; Manish Gupta 001; Vipul Agarwal; Prashant Gupta; Ranya Habash (WACV, 2021)

HealTech - A System for Predicting Patient Hospitalization Risk and Wound Progression in Old Patients. - Subba Reddy Oota; Vijay Rowtula; Shahid Saleem Mohammed; Jeffrey Galitz; Minghsun Liu; Manish Gupta 001 (WACV, 2021)

"Subverting the Jewtocracy": Online Antisemitism Detection Using Multimodal Deep Learning. - Mohit Chandra; Dheeraj Reddy Pailla; Himanshu Bhatia; AadilMehdi J. Sanchawala; Manish Gupta 001; Manish Shrivastava 001; Ponnurangam Kumaraguru (WebSci, 2021)

Transformer Models for Text Coherence Assessment. - Tushar Abhishek; Daksh Rawat; Manish Gupta 001; Vasudeva Varma (CoRR, 2021)

Categorizing Sexism and Misogyny through Neural Approaches. - Pulkit Parikh; Harika Abburi; Niyati Chhaya; Manish Gupta 001; Vasudeva Varma (ACM Trans. Web, 2021)

Deep Learning for Brain Encoding and Decoding. - Subba Reddy Oota; Jashn Arora; Manish Gupta 001; Raju Surampudi Bapi; Mariya Toneva (CogSci, 2022)

Multi-view and Cross-view Brain Decoding. - Subba Reddy Oota; Jashn Arora; Manish Gupta 001; Raju S. Bapi (COLING, 2022)

Visio-Linguistic Brain Encoding. - Subba Reddy Oota; Jashn Arora; Vijay Rowtula; Manish Gupta 001; Raju S. Bapi (COLING, 2022)

Query-Document Topic Mismatch Detection. - Sahil Chelaramani; Ankush Chatterjee; Sonam Damani; Kedhar Nath Narahari; Meghana Joshi; Manish Gupta 001; Puneet Agrawal (DASFAA (3), 2022)

Identifying Relevant Sentences for Travel Blogs from Wikipedia Articles. - Arnav Kapoor; Manish Gupta 001 (DASFAA (3), 2022)

VisToT: Vision-Augmented Table-to-Text Generation. - Prajwal Gatti; Anand Mishra 001; Manish Gupta 001; Mithun Das Gupta (EMNLP, 2022)

Towards Proactively Forecasting Sentence-Specific Information Popularity within Online News Documents. - Sayar Ghosh Roy; Anshul Padhi; Risubh Jain; Manish Gupta 001; Vasudeva Varma (HT, 2022)

A Case Study on Periodic Spatio- Temporal Hotspot Detection in Azure Traffic Data. - Venkata M. V. Gunturi; Rakesh Rajeev; Vipul Bondre; Aaditya Barnwal; Samir Jain; Ashank Anshuman; Manish Gupta 001 (ICDM (Workshops), 2022)

Neural Language Taskonomy: Which NLP Tasks are the most Predictive of fMRI Brain Activity? - Subba Reddy Oota; Jashn Arora; Veeral Agarwal; Mounika Marreddy; Manish Gupta 001; Bapi Raju Surampudi (NAACL-HLT, 2022)

Representation Learning for Conversational Data using Discourse Mutual Information Maximization. - Bishal Santra; Sumegh Roychowdhury; Aishik Mandal; Vasu Gurram; Atharva Naik; Manish Gupta 001; Pawan Goyal 002 (NAACL-HLT, 2022)

Fact Aware Multi-task Learning for Text Coherence Modeling. - Tushar Abhishek; Daksh Rawat; Manish Gupta 001; Vasudeva Varma (PAKDD (2), 2022)

Half-Day Tutorial on Combating Online Hate Speech: The Role of Content, Networks, Psychology, User Behavior, etc. - Sarah Masud; Pinkesh Pinkesh; Amitava Das 001; Manish Gupta 001; Preslav Nakov; Tanmoy Chakraborty 002 (WSDM, 2022)

XAlign: Cross-lingual Fact-to-Text Alignment and Generation for Low-Resource Languages. - Tushar Abhishek; Shivprasad Sagare; Bhavyajeet Singh; Anubhav Sharma; Manish Gupta 001; Vasudeva Varma (WWW (Companion Volume), 2022)

TweetBoost: Influence of Social Media on NFT Valuation. - Arnav Kapoor; Dipanwita Guhathakurta; Mehul Mathur; Rupanshu Yadav; Manish Gupta 001; Ponnurangam Kumaraguru (WWW (Companion Volume), 2022)

Cross-view Brain Decoding. - Subba Reddy Oota; Jashn Arora; Manish Gupta 001; Raju S. Bapi (CoRR, 2022)

CORAL: Contextual Response Retrievability Loss Function for Training Dialog Generation Models. - Bishal Santra; Ravi Ghadia; Arpit Dwivedi; Manish Gupta 001; Pawan Goyal 002 (CoRR, 2022)

Compression of Deep Learning Models for Text: A Survey. - Manish Gupta 001; Puneet Agrawal (ACM Trans. Knowl. Discov. Data, 2022)

How does the brain process syntactic structure while listening? - Subba Reddy Oota; Mounika Marreddy; Manish Gupta 001; Raju S. Bapi (ACL (Findings), 2023)

Hateful Comment Detection and Hate Target Type Prediction for Video Comments. - Shrey Gupta; Pratyush Priyadarshi; Manish Gupta 001 (CIKM, 2023)

XFLT: Exploring Techniques for Generating Cross Lingual Factually Grounded Long Text. - Bhavyajeet Singh; Aditya Hari; Rahul Mehta 008; Tushar Abhishek; Manish Gupta 001; Vasudeva Varma (ECAI, 2023)

TourismNLG: A Multi-lingual Generative Benchmark for the Tourism Domain. - Sahil Manoj Bhatt; Sahaj Agarwal; Omkar Gurjar; Manish Gupta 001; Manish Shrivastava 001 (ECIR (1), 2023)

Deep Learning Methods for Query Auto Completion. - Manish Gupta 001; Meghana Joshi; Puneet Agrawal (ECIR (3), 2023)

On Robustness of Finetuned Transformer-based NLP Models. - Pavan Kalyan Reddy Neerudu; Subba Reddy Oota; Mounika Marreddy; Venkateswara Rao Kagita; Manish Gupta 001 (EMNLP (Findings), 2023)

Frugal Prompting for Dialog Models. - Bishal Santra; Sakya Basak; Abhinandan De; Manish Gupta 001; Pawan Goyal 002 (EMNLP (Findings), 2023)

Neural Architecture of Speech. - Subba Reddy Oota; Khushbu Pahwa; Mounika Marreddy; Manish Gupta 001; Raju S. Bapi (ICASSP, 2023)

Answer Mining from a Pool of Images: Towards Retrieval-Based Visual Question Answering. - Abhirama Subramanyam Penamakuri; Manish Gupta 001; Mithun Das Gupta; Anand Mishra 001 (IJCAI, 2023)

XF2T: Cross-lingual Fact-to-Text Generation for Low-Resource Languages. - Shivprasad Sagare; Tushar Abhishek; Bhavyajeet Singh; Anubhav Sharma; Manish Gupta 001; Vasudeva Varma (INLG, 2023)

Speech Taskonomy: Which Speech Tasks are the most Predictive of fMRI Brain Activity? - Subba Reddy Oota; Veeral Agarwal; Mounika Marreddy; Manish Gupta 001; Raju S. Bapi (INTERSPEECH, 2023)

Joint processing of linguistic properties in brains and language models. - Subba Reddy Oota; Manish Gupta 001; Mariya Toneva (NeurIPS, 2023)

Neural Models for Factual Inconsistency Classification with Explanations. - Tathagata Raha; Mukund Choudhary; Abhinav Menon; Harshit Gupta; KV Aditya Srivatsa; Manish Gupta 001; Vasudeva Varma (ECML/PKDD (3), 2023)

WSNet: Towards An Effective Method for Wound Image Segmentation. - Subba Reddy Oota; Vijay Rowtula; Shahid Saleem Mohammed; Minghsun Liu; Manish Gupta 001 (WACV, 2023)

XWikiGen: Cross-lingual Summarization for Encyclopedic Text Generation in Low Resource Languages. - Dhaval Taunk; Shivprasad Sagare; Anupam Patil; Shivansh Subramanian; Manish Gupta 001; Vasudeva Varma (WWW, 2023)

Syntactic Structure Processing in the Brain while Listening. - Subba Reddy Oota; Mounika Marreddy; Manish Gupta 001; Bapi Raju Surampudi (CoRR, 2023)

Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey). - Subba Reddy Oota; Manish Gupta 001; Raju S. Bapi; Gaël Jobard; Frédéric Alexandre; Xavier Hinaut (CoRR, 2023)

Multilingual Bias Detection and Mitigation for Indian Languages. - Ankita Maity; Anubhav Sharma; Rudra Dhar; Tushar Abhishek; Manish Gupta 001; Vasudeva Varma (CoRR, 2023)

trie-nlg: trie context augmentation to improve personalized query auto-completion for short and unseen prefixes. - Kaushal Kumar Maurya; Maunendra Sankar Desarkar; Manish Gupta 001; Puneet Agrawal (Data Min. Knowl. Discov., 2023)

Composite Sketch+Text Queries for Retrieving Objects with Elusive Names and Complex Interactions. - Prajwal Gatti; Kshitij Parikh; Dhriti Prasanna Paul; Manish Gupta 001; Anand Mishra 001 (AAAI, 2024)

Deep Learning Methods for Query Auto Completion. - Manish Gupta 001 (AIMLSystems, 2024)

OutlineGen: Multi-lingual Outline Generation for Encyclopedic Text in Low Resource Languages. - Shivansh Subramanian; Dhaval Taunk; Manish Gupta 001; Vasudeva Varma (ASONAM (2), 2024)

CHAPVIDMR: Chapter-based Video Moment Retrieval using Natural Language Queries. - Uday Agarwal; Yogesh Kumar 004; Abu Shahid; Prajwal Gatti; Manish Gupta 001; Anand Mishra 001 (ICVGIP, 2024)

DQAC: Detoxifying Query Auto-completion with Adapters. - Aishwarya Maheswaran; Kaushal Kumar Maurya; Manish Gupta 001; Maunendra Sankar Desarkar (PAKDD (6), 2024)

CircuitVQA: A Visual Question Answering Dataset for Electrical Circuit Images. - Rahul Mehta 008; Bhavyajeet Singh; Vasudeva Varma; Manish Gupta 001 (ECML/PKDD (1), 2024)

DAC: Quantized Optimal Transport Reward-based Reinforcement Learning Approach to Detoxify Query Auto-Completion. - Aishwarya Maheswaran; Kaushal Kumar Maurya; Manish Gupta 001; Maunendra Sankar Desarkar (SIGIR, 2024)

Timeline Summarization in the Era of LLMs. - Daivik Sojitra; Raghav Jain; Sriparna Saha 001; Adam Jatowt; Manish Gupta 001 (SIGIR, 2024)

USDC: A Dataset of User Stance and Dogmatism in Long Conversations. - Mounika Marreddy; Subba Reddy Oota; Venkata Charan Chinni; Manish Gupta 001; Lucie Flek (CoRR, 2024)

Review-Feedback-Reason (ReFeR): A Novel Framework for NLG Evaluation and Reasoning. - Yaswanth Narsupalli; Abhranil Chandra; Sreevatsa Muppirala; Manish Gupta 001; Pawan Goyal 002 (CoRR, 2024)

IndicSentEval: How Effectively do Multilingual Transformer Models encode Linguistic Properties for Indic Languages? - Akhilesh Aravapalli; Mounika Marreddy; Subba Reddy Oota; Radhika Mamidi; Manish Gupta 001 (CoRR, 2024)

Curriculum Learning for Cross-Lingual Data-to-Text Generation With Noisy Data. - Kancharla Aditya Hari; Manish Gupta 001; Vasudeva Varma (CoRR, 2024)

PatentLMM: Large Multimodal Model for Generating Descriptions for Patent Figures. - Shreya Shukla; Nakul Sharma; Manish Gupta 001; Anand Mishra 001 (AAAI, 2025)

SCULPT: Systematic Tuning of Long Prompts. - Shanu Kumar; Akhila Yesantarao Venkata; Shubhanshu Khandelwal; Bishal Santra; Parag Agrawal; Manish Gupta 001 (ACL (1), 2025)

USDC: A Dataset of underlineUser underlineStance and underlineDogmatism in Long underlineConversations. - Mounika Marreddy; Subba Reddy Oota; Venkata Charan Chinni; Manish Gupta 001; Lucie Flek (ACL (Findings), 2025)

Large Language Models Are Human-Like Annotators. - Mounika Marreddy; Subba Reddy Oota; Manish Gupta 001 (ECIR (5), 2025)

Correlating instruction-tuning (in multimodal models) with vision-language processing (in the brain). - Subba Reddy Oota; Akshett Rai Jindal; Ishani Mondal; Khushbu Pahwa; Satya Sai Srinath Namburi GNVV; Manish Shrivastava 001; Maneesh Kumar Singh 002; Bapi Raju Surampudi; Manish Gupta 001 (ICLR, 2025)

Multi-modal brain encoding models for multi-modal stimuli. - Subba Reddy Oota; Khushbu Pahwa; Mounika Marreddy; Maneesh Kumar Singh 002; Manish Gupta 001; Bapi Raju Surampudi (ICLR, 2025)

Text Obsoleteness Detection using Large Language Models. - Rishav Ranaut; Sriparna Saha 001; Adam Jatowt; Manish Gupta 001 (SIGIR, 2025)

ReFeR: Improving Evaluation and Reasoning through Hierarchy of Models. - Yaswanth Narsupalli; Abhranil Chandra; Sreevatsa Muppirala; Manish Gupta 001; Pawan Goyal 002 (Trans. Mach. Learn. Res., 2025)

Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey). - Subba Reddy Oota; Zijiao Chen; Manish Gupta 001; Bapi Raju Surampudi; Gaël Jobard; Frédéric Alexandre; Xavier Hinaut (Trans. Mach. Learn. Res., 2025)

Correlating instruction-tuning (in multimodal models) with vision-language processing (in the brain). - Subba Reddy Oota; Akshett Jindal; Ishani Mondal; Khushbu Pahwa; Satya Sai Srinath Namburi; Manish Shrivastava 001; Maneesh Kumar Singh 002; Raju Surampudi Bapi; Manish Gupta 001 (CoRR, 2025)

Instruction-Tuned Video-Audio Models Elucidate Functional Specialization in the Brain. - Subba Reddy Oota; Khushbu Pahwa; Prachi Jindal; Satya Sai Srinath Namburi; Maneesh Kumar Singh 002; Tanmoy Chakraborty 002; Raju S. Bapi; Manish Gupta 001 (CoRR, 2025)

Chat-Ghosting: A Comparative Study of Methods for Auto-Completion in Dialog Systems. - Sandeep Mishra; Anubhab Mandal; Bishal Santra; Tushar Abhishek; Pawan Goyal 002; Manish Gupta 001 (CoRR, 2025)

Aligning Moments in Time using Video Queries. - Yogesh Kumar 004; Uday Agarwal; Manish Gupta 001; Anand Mishra 001 (CoRR, 2025)