Manish Gupta

Orcid: 0000-0002-2843-3110

Affiliations:
  • Microsoft India R&D, Hyderabad, India
  • International Institute of Information Technology, Hyderabad, India (former)
  • University of Illinois at Urbana-Champaign, Department of Computer Science, IL, USA (PhD 2013)
  • Yahoo! Bangalore (former)


According to our database1, Manish Gupta authored at least 153 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Bibliography

2024
SCULPT: Systematic Tuning of Long Prompts.
CoRR, 2024

IndicSentEval: How Effectively do Multilingual Transformer Models encode Linguistic Properties for Indic Languages?
CoRR, 2024

Review-Feedback-Reason (ReFeR): A Novel Framework for NLG Evaluation and Reasoning.
CoRR, 2024

USDC: A Dataset of User Stance and Dogmatism in Long Conversations.
CoRR, 2024

Timeline Summarization in the Era of LLMs.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

DAC: Quantized Optimal Transport Reward-based Reinforcement Learning Approach to Detoxify Query Auto-Completion.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

CircuitVQA: A Visual Question Answering Dataset for Electrical Circuit Images.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

DQAC: Detoxifying Query Auto-completion with Adapters.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Composite Sketch+Text Queries for Retrieving Objects with Elusive Names and Complex Interactions.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
trie-nlg: trie context augmentation to improve personalized query auto-completion for short and unseen prefixes.
Data Min. Knowl. Discov., November, 2023

Multilingual Bias Detection and Mitigation for Indian Languages.
CoRR, 2023

Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey).
CoRR, 2023

Syntactic Structure Processing in the Brain while Listening.
CoRR, 2023

XWikiGen: Cross-lingual Summarization for Encyclopedic Text Generation in Low Resource Languages.
Proceedings of the ACM Web Conference 2023, 2023

WSNet: Towards An Effective Method for Wound Image Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Neural Models for Factual Inconsistency Classification with Explanations.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Joint processing of linguistic properties in brains and language models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Speech Taskonomy: Which Speech Tasks are the most Predictive of fMRI Brain Activity?
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

XF2T: Cross-lingual Fact-to-Text Generation for Low-Resource Languages.
Proceedings of the 16th International Natural Language Generation Conference, 2023

Answer Mining from a Pool of Images: Towards Retrieval-Based Visual Question Answering.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Neural Architecture of Speech.
Proceedings of the IEEE International Conference on Acoustics, 2023

Frugal Prompting for Dialog Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

On Robustness of Finetuned Transformer-based NLP Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Deep Learning Methods for Query Auto Completion.
Proceedings of the Advances in Information Retrieval, 2023

TourismNLG: A Multi-lingual Generative Benchmark for the Tourism Domain.
Proceedings of the Advances in Information Retrieval, 2023

XFLT: Exploring Techniques for Generating Cross Lingual Factually Grounded Long Text.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Hateful Comment Detection and Hate Target Type Prediction for Video Comments.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

How does the brain process syntactic structure while listening?
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Compression of Deep Learning Models for Text: A Survey.
ACM Trans. Knowl. Discov. Data, 2022

CORAL: Contextual Response Retrievability Loss Function for Training Dialog Generation Models.
CoRR, 2022

Cross-view Brain Decoding.
CoRR, 2022

TweetBoost: Influence of Social Media on NFT Valuation.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

XAlign: Cross-lingual Fact-to-Text Alignment and Generation for Low-Resource Languages.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Half-Day Tutorial on Combating Online Hate Speech: The Role of Content, Networks, Psychology, User Behavior, etc.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Fact Aware Multi-task Learning for Text Coherence Modeling.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Representation Learning for Conversational Data using Discourse Mutual Information Maximization.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Neural Language Taskonomy: Which NLP Tasks are the most Predictive of fMRI Brain Activity?
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

A Case Study on Periodic Spatio- Temporal Hotspot Detection in Azure Traffic Data.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Towards Proactively Forecasting Sentence-Specific Information Popularity within Online News Documents.
Proceedings of the HT '22: 33rd ACM Conference on Hypertext and Social Media, 2022

VisToT: Vision-Augmented Table-to-Text Generation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Identifying Relevant Sentences for Travel Blogs from Wikipedia Articles.
Proceedings of the Database Systems for Advanced Applications, 2022

Query-Document Topic Mismatch Detection.
Proceedings of the Database Systems for Advanced Applications, 2022

Visio-Linguistic Brain Encoding.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Multi-view and Cross-view Brain Decoding.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Deep Learning for Brain Encoding and Decoding.
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2021
Categorizing Sexism and Misogyny through Neural Approaches.
ACM Trans. Web, 2021

Transformer Models for Text Coherence Assessment.
CoRR, 2021

"Subverting the Jewtocracy": Online Antisemitism Detection Using Multimodal Deep Learning.
Proceedings of the WebSci '21: 13th ACM Web Science Conference 2021, 2021

HealTech - A System for Predicting Patient Hospitalization Risk and Wound Progression in Old Patients.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Multi-Task Knowledge Distillation for Eye Disease Prediction.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

T<sup>3N</sup>: Harnessing Text and Temporal Tree Network for Rumor Detection on Twitter.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Zero-shot Multi-lingual Interrogative Question Generation for "People Also Ask" at Bing.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Event Related Data Collection from Microblog Streams.
Proceedings of the Database and Expert Systems Applications, 2021

Goal-Directed Extractive Summarization of Financial Reports.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

SCATE: shared cross attention transformer encoders for multimodal fake news detection.
Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

2020
FAQAugmenter: Suggesting Questions for Enterprise FAQ Pages.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Optimized Transformer Models for FAQ Answering.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Region of Interest Identification for Cervical Cancer Images.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Summaformers @ LaySumm 20, LongSumm 20.
Proceedings of the First Workshop on Scholarly Document Processing, 2020

Predicting Clickbait Strength in Online Social Media.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

AbuseAnalyzer: Abuse Detection, Severity and Target Prediction for Gab Posts.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Transformer Models for Recommending Related Questions in Web Search.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Compression of Deep Learning Models for NLP.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
A distant supervision based approach to medical persona classification.
J. Biomed. Informatics, 2019

MVAE: Multimodal Variational Autoencoder for Fake News Detection.
Proceedings of the World Wide Web Conference, 2019

Stereotypical Bias Removal for Hate Speech Detection Task using Knowledge-based Generalizations.
Proceedings of the World Wide Web Conference, 2019

clstk: The Cross-Lingual Summarization Tool-Kit.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

What sets Verified Users apart?: Insights, Analysis and Prediction of Verified Users on Twitter.
Proceedings of the 11th ACM Conference on Web Science, 2019

Fermi at SemEval-2019 Task 8: An elementary but effective approach to Question Discernment in Community QA Forums.
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

FERMI at SemEval-2019 Task 5: Using Sentence embeddings to Identify Hate Speech Against Immigrants and Women in Twitter.
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

Fermi at SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media using Sentence Embeddings.
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

StepEncog: A Convolutional LSTM Autoencoder for Near-Perfect fMRI Encoding.
Proceedings of the International Joint Conference on Neural Networks, 2019

Elites Tweet? Characterizing the Twitter Verified User Network.
Proceedings of the 35th IEEE International Conference on Data Engineering Workshops, 2019

Multi-label Categorization of Accounts of Sexism using a Neural Framework.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Inductive Transfer Learning for Detection of Well-Formed Natural Language Search Queries.
Proceedings of the Advances in Information Retrieval, 2019

Multi-task Learning for Fine-Grained Eye Disease Prediction.
Proceedings of the Pattern Recognition - 5th Asian Conference, 2019

Ingredients for Happiness: Modeling constructs via semi-supervised content driven inductive transfer.
Proceedings of the 2nd Workshop on Affective Content Analysis (AffCon 2019) co-located with Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019), 2019

2018
Harnessing Twitter for Answering Opinion List Queries.
IEEE Trans. Comput. Soc. Syst., 2018

Towards Interpretation of Node Embeddings.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Under the Shadow of Sunshine: Characterizing Spam Campaigns Abusing Phone Numbers Across Online Social Networks.
Proceedings of the 10th ACM Conference on Web Science, 2018

Tapping Community Memberships and Devising a Novel Homophily Modeling Approach for Trust Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

A Workbench for Rapid Generation of Cross-Lingual Summaries.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Neural Content-Collaborative Filtering for News Recommendation.
Proceedings of the Second International Workshop on Recent Trends in News Information Retrieval co-located with 40th European Conference on Information Retrieval (ECIR 2018), 2018

Medical Forum Question Classification Using Deep Learning.
Proceedings of the Advances in Information Retrieval, 2018

Attention-Based Neural Text Segmentation.
Proceedings of the Advances in Information Retrieval, 2018

Co-training for Extraction of Adverse Drug Reaction Mentions from Tweets.
Proceedings of the Advances in Information Retrieval, 2018

Multi-task Learning for Extraction of Adverse Drug Reaction Mentions from Tweets.
Proceedings of the Advances in Information Retrieval, 2018

Translation Quality Estimation for Indian Languages.
Proceedings of the 21st Annual Conference of the European Association for Machine Translation, 2018

STwalk: learning trajectory representations in temporal graphs.
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2018

Believe it or not!: identifying bizarre news in online news media.
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2018

Inductive Framework for Multi-Aspect Streaming Tensor Completion with Side Information.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Weave&Rec: A Word Embedding based 3-D Convolutional Network for News Recommendation.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

HRAM: A Hybrid Recurrent Attention Machine for News Recommendation.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

RARE : A Recurrent Attentive Recommendation Engine for News Aggregators.
Proceedings of the CIKM 2018 Workshops co-located with 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), 2018

Higher-order Relation Schema Induction using Tensor Factorization with Back-off and Aggregation.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
SNEIT: Salient Named Entity Identification in Tweets.
Computación y Sistemas, 2017

Deep Learning for Hate Speech Detection in Tweets.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Enhancing Categorization of Computer Science Research Papers using Knowledge Bases.
Proceedings of the First Workshop on Knowledge Graphs and Semantics for Text Retrieval and Analysis (KG4IR 2017) co-located with the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017), 2017

SSAS: Semantic Similarity for Abstractive Summarization.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

User Profiling Based Deep Neural Network for Temporal News Recommendation.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Improving Tweet Representations Using Temporal and User Context.
Proceedings of the Advances in Information Retrieval, 2017

Deep Neural Architecture for News Recommendation.
Proceedings of the Working Notes of CLEF 2017, 2017

Hybrid MemNet for Extractive Summarization.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Medical Persona Classification in Social Media.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

Extracting Social Lists from Twitter.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

Interpretation of Semantic Tweet Representations.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

Simultaneous Inference of User Representations and Trust.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

2016
Community-based Outlier Detection for Edge-attributed Graphs.
CoRR, 2016

Interpreting the Syntactic and Social Elements of the Tweet Representations via Elementary Property Prediction Tasks.
CoRR, 2016

Author2Vec: Learning Author Representations by Combining Content and Link Information.
Proceedings of the 25th International Conference on World Wide Web, 2016

Doc2Sent2Vec: A Novel Two-Phase Approach for Learning Document Representation.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Predicting Post-operative Visual Acuity for LASIK Surgeries.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Query-Based Evolutionary Graph Cuboid Outlier Detection.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015
Information Retrieval with Verbose Queries.
Found. Trends Inf. Retr., 2015

CricketLinking: Linking Event Mentions from Cricket Match Reports to Ball Entities in Commentaries.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

IIIT-H at SemEval 2015: Twitter Sentiment Analysis - The Good, the Bad and the Neutral!
Proceedings of the 9th International Workshop on Semantic Evaluation, 2015

Query-based Graph Cuboid Outlier Detection.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014
Outlier Detection for Temporal Data
Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers, ISBN: 978-3-031-01905-0, 2014

Co-Evolution of Multi-Typed Objects in Dynamic Star Networks.
IEEE Trans. Knowl. Data Eng., 2014

Outlier Detection for Temporal Data: A Survey.
IEEE Trans. Knowl. Data Eng., 2014

Towards a social media analytics platform: event detection and user profiling for twitter.
Proceedings of the 23rd International World Wide Web Conference, 2014

Cross market modeling for query-entity matching.
Proceedings of the 23rd International World Wide Web Conference, 2014

Exploiting Wikipedia Categorization for Predicting Age and Gender of Blog Authors.
Proceedings of the Posters, 2014

Modeling the evolution of product entities.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Exploiting Wikipedia inlinks for linking entities in queries.
Proceedings of the ERD'14, 2014

CharBoxes: a system for automatic discovery of character infoboxes from books.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Local Learning for Mining Outlier Subgraphs from Network Datasets.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Linking Entities in #Microposts.
Proceedings of the the 4th Workshop on Making Sense of Microposts co-located with the 23rd International World Wide Web Conference (WWW 2014), 2014

Top-K interesting subgraph discovery in information networks.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

Entity Tracking in Real-Time Using Sub-topic Detection on Twitter.
Proceedings of the Advances in Information Retrieval, 2014

EDIUM: Improving Entity Disambiguation via User Modeling.
Proceedings of the Advances in Information Retrieval, 2014

Structured Information Extraction from Natural Disaster Events on Twitter.
Proceedings of the 5th International Workshop on Web-scale Knowledge Representation Retrieval & Reasoning, 2014

2013
Outlier detection for information networks
PhD thesis, 2013

Community Distribution Outlier Detection in Heterogeneous Information Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

On detecting association-based clique outliers in heterogeneous information networks.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012
Evaluating Event Credibility on Twitter.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Community Trend Outlier Detection Using Soft Temporal Pattern Mining.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Integrating community matching and outlier detection for mining evolutionary community outliers.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Predicting future popularity trend of events in microblogging platforms.
Proceedings of the Information, Interaction, Innovation: Celebrating the Past, Constructing the Present and Creating the Future, 2012

2011
Heterogeneous network-based trust analysis: a survey.
SIGKDD Explor., 2011

Trust analysis with clustering.
Proceedings of the 20th International Conference on World Wide Web, 2011

Finding Top-k Shortest Path Distance Changes in an Evolutionary Network.
Proceedings of the Advances in Spatial and Temporal Databases, 2011

Apollo: Towards factfinding in participatory sensing.
Proceedings of the 10th International Conference on Information Processing in Sensor Networks, 2011

On Bayesian interpretation of fact-finding in information networks.
Proceedings of the 14th International Conference on Information Fusion, 2011

Co-author Relationship Prediction in Heterogeneous Bibliographic Networks.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2011

Evolutionary Clustering and Analysis of Bibliographic Networks.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2011

An Overview of Social Tagging and Applications.
Proceedings of the Social Network Data Analytics, 2011

2010
Survey on social tagging techniques.
SIGKDD Explor., 2010

LINKREC: a unified framework for link recommendation with user attributes and graph structure.
Proceedings of the 19th International Conference on World Wide Web, 2010

Community evolution detection in dynamic heterogeneous information networks.
Proceedings of the Eighth Workshop on Mining and Learning with Graphs, 2010

Shallow Information Extraction from Medical Forum Data.
Proceedings of the COLING 2010, 2010

A Unified Framework for Link Recommendation Using Random Walks.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2010


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