Extractive single document summarization using multi-objective optimization: Exploring self-organized differential evolution, grey wolf optimizer and water cycle algorithm. - Naveen Saini; Sriparna Saha 001; Anubhav Jangra; Pushpak Bhattacharyya (Knowl. Based Syst., 2019)

Text-Image-Video Summary Generation Using Joint Integer Linear Programming. - Anubhav Jangra; Adam Jatowt; Mohammed Hasanuzzaman; Sriparna Saha 001 (ECIR (2), 2020)

Semantic Extractor-Paraphraser based Abstractive Summarization. - Anubhav Jangra; Raghav Jain; Vaibhav Mavi; Sriparna Saha 001; Pushpak Bhattacharyya (ICON, 2020)

Multi-Modal Summary Generation using Multi-Objective Optimization. - Anubhav Jangra; Sriparna Saha 001; Adam Jatowt; Mohammad Hasanuzzaman (SIGIR, 2020)

Multi-Modal Supplementary-Complementary Summarization using Multi-Objective Optimization. - Anubhav Jangra; Sriparna Saha 001; Adam Jatowt; Mohammed Hasanuzzaman (SIGIR, 2021)

A Survey on Multi-modal Summarization. - Anubhav Jangra; Adam Jatowt; Sriparna Saha 001; Mohammad Hasanuzzaman (CoRR, 2021)

Identifying complaints based on semi-supervised mincuts. - Apoorva Singh; Sriparna Saha 001; Mohammed Hasanuzzaman; Anubhav Jangra (Expert Syst. Appl., 2021)

WIDAR - Weighted Input Document Augmented ROUGE. - Raghav Jain; Vaibhav Mavi; Anubhav Jangra; Sriparna Saha 001 (ECIR (1), 2022)

T-STAR: Truthful Style Transfer using AMR Graph as Intermediate Representation. - Anubhav Jangra; Preksha Nema; Aravindan Raghuveer (EMNLP, 2022)

Topic-aware Multimodal Summarization. - Sourajit Mukherjee; Anubhav Jangra; Sriparna Saha 001; Adam Jatowt (AACL/IJCNLP (Findings), 2022)

MAKED: Multi-lingual Automatic Keyword Extraction Dataset. - Yash Verma; Anubhav Jangra; Sriparna Saha 001; Adam Jatowt; Dwaipayan Roy 001 (LREC, 2022)

Combining Vision and Language Representations for Patch-based Identification of Lexico-Semantic Relations. - Prince Jha; Gaël Dias; Alexis Lechervy; José G. Moreno 001; Anubhav Jangra; Sebastião Pais; Sriparna Saha 001 (ACM Multimedia, 2022)

A Survey on Multi-hop Question Answering and Generation. - Vaibhav Mavi; Anubhav Jangra; Adam Jatowt (CoRR, 2022)

A Survey on Medical Document Summarization. - Raghav Jain; Anubhav Jangra; Sriparna Saha 001; Adam Jatowt (CoRR, 2022)

Large Scale Multi-Lingual Multi-Modal Summarization Dataset. - Yash Verma; Anubhav Jangra; Raghvendra Verma; Sriparna Saha 001 (EACL, 2023)

Can Multimodal Pointer Generator Transformers Produce Topically Relevant Summaries? - Sourajit Mukherjee; Adam Jatowt; Raghvendra Kumar 003; Anubhav Jangra; Sriparna Saha 001 (IJCNN, 2023)

Large Scale Multi-Lingual Multi-Modal Summarization Dataset. - Yash Verma; Anubhav Jangra; Raghvendra Kumar 003; Sriparna Saha 001 (CoRR, 2023)

A Survey on Multi-modal Summarization. - Anubhav Jangra; Sourajit Mukherjee; Adam Jatowt; Sriparna Saha 001; Mohammad Hasanuzzaman (ACM Comput. Surv., 2023)

TriviaHG: A Dataset for Automatic Hint Generation from Factoid Questions. - Jamshid Mozafari; Anubhav Jangra; Adam Jatowt (SIGIR, 2024)

Multi-hop Question Answering. - Vaibhav Mavi; Anubhav Jangra; Adam Jatowt (Found. Trends Inf. Retr., 2024)

Navigating the Landscape of Hint Generation Research: From the Past to the Future. - Anubhav Jangra; Jamshid Mozafari; Adam Jatowt; Smaranda Muresan (Trans. Assoc. Comput. Linguistics, 2025)

Evaluating Style-Personalized Text Generation: Challenges and Directions. - Anubhav Jangra; Bahareh Sarrafzadeh; Adrian de Wynter; Silviu Cucerzan; Sujay Kumar Jauhar (CoRR, 2025)