Free as in Free Word Order: An Energy Based Model for Word Segmentation and Morphological Tagging in Sanskrit. - Amrith Krishna; Bishal Santra; Sasi Prasanth Bandaru; Gaurav Sahu; Vishnu Dutt Sharma; Pavankumar Satuluri; Pawan Goyal 002 (EMNLP, 2018)

Multimodal Speech Emotion Recognition and Ambiguity Resolution. - Gaurav Sahu (CoRR, 2019)

Conditional Response Generation Using Variational Alignment. - Kashif Khan; Gaurav Sahu; Vikash Balasubramanian; Lili Mou; Olga Vechtomova (CoRR, 2019)

Dynamic Fusion for Multimodal Data. - Gaurav Sahu; Olga Vechtomova (CoRR, 2019)

Adversarial Learning on the Latent Space for Diverse Dialog Generation. - Kashif Khan; Gaurav Sahu; Vikash Balasubramanian; Lili Mou; Olga Vechtomova (COLING, 2020)

Generation of lyrics lines conditioned on music audio clips. - Olga Vechtomova; Gaurav Sahu; Dhruv Kumar 005 (CoRR, 2020)

Adaptive Fusion Techniques for Multimodal Data. - Gaurav Sahu; Olga Vechtomova (EACL, 2021)

LyricJam: A System for Generating Lyrics for Live Instrumental Music. - Olga Vechtomova; Gaurav Sahu; Dhruv Kumar 005 (ICCC, 2021)

Towards A Multi-agent System for Online Hate Speech Detection. - Gaurav Sahu; Robin Cohen; Olga Vechtomova (CoRR, 2021)

Data Augmentation for Intent Classification with Off-the-shelf Large Language Models. - Gaurav Sahu; Pau Rodríguez; Issam H. Laradji; Parmida Atighehchian; David Vázquez 001; Dzmitry Bahdanau (ConvAI@ACL, 2022)

Future Sight: Dynamic Story Generation with Large Pretrained Language Models. - Brian D. Zimmerman; Gaurav Sahu; Olga Vechtomova (CoRR, 2022)

Personalized multi-faceted trust modeling to determine trust links in social media and its potential for misinformation management. - Alexandre Parmentier; Robin Cohen; Xueguang Ma; Gaurav Sahu; Queenie Chen (Int. J. Data Sci. Anal., 2022)

LLM aided semi-supervision for efficient Extractive Dialog Summarization. - Nishant Mishra; Gaurav Sahu; Iacer Calixto; Ameen Abu-Hanna; Issam H. Laradji (EMNLP (Findings), 2023)

PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation. - Gaurav Sahu; Olga Vechtomova; Dzmitry Bahdanau; Issam H. Laradji (EMNLP, 2023)

LyricJam Sonic: A Generative System for Real-Time Composition and Musical Improvisation. - Olga Vechtomova; Gaurav Sahu (EvoMUSART@EvoStar, 2023)

Improving Data Integrity of IPFS On-Chain Proof. - Gaurav Pandey; Gaurav Sahu; Manpreet Singh (IC3I, 2023)

Multi-Modal Discussion Transformer: Integrating Text, Images and Graph Transformers to Detect Hate Speech on Social Media. - Liam Hebert; Gaurav Sahu; Nanda Kishore Sreenivas; Lukasz Golab; Robin Cohen (CoRR, 2023)

Enchancing Semi-Supervised Learning for Extractive Summarization with an LLM-based pseudolabeler. - Gaurav Sahu; Olga Vechtomova; Issam H. Laradji (CoRR, 2023)

LLM aided semi-supervision for Extractive Dialog Summarization. - Nishant Mishra; Gaurav Sahu; Iacer Calixto; Ameen Abu-Hanna; Issam H. Laradji (CoRR, 2023)

Multi-Modal Discussion Transformer: Integrating Text, Images and Graph Transformers to Detect Hate Speech on Social Media. - Liam Hebert; Gaurav Sahu; Yuxuan Guo; Nanda Kishore Sreenivas; Lukasz Golab; Robin Cohen (AAAI, 2024)

InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation. - Gaurav Sahu; Abhay Puri; Juan A. Rodríguez; Alexandre Drouin; Perouz Taslakian; Valentina Zantedeschi; Alexandre Lacoste; David Vázquez 001; Nicolas Chapados; Christopher Pal; Sai Rajeswar; Issam Hadj Laradji (CoRR, 2024)

MixSumm: Topic-based Data Augmentation using LLMs for Low-resource Extractive Text Summarization. - Gaurav Sahu; Issam H. Laradji (CoRR, 2024)

Computational Modeling of Artistic Inspiration: A Framework for Predicting Aesthetic Preferences in Lyrical Lines Using Linguistic and Stylistic Features. - Gaurav Sahu; Olga Vechtomova (CoRR, 2024)

LLMs for Literature Review: Are we there yet? - Shubham Agarwal; Gaurav Sahu; Abhay Puri; Issam H. Laradji; Krishnamurthy Dj Dvijotham; Jason Stanley; Laurent Charlin; Christopher Pal (CoRR, 2024)

Diversity in issue assignment: humans vs bots. - Aniruddhan Murali; Gaurav Sahu; Kishanthan Thangarajah; Brian D. Zimmerman; Gema Rodríguez-Pérez; Meiyappan Nagappan (Empir. Softw. Eng., 2024)

Balancing Indeterminacy and Structure: Neural Text Generation for Artistic Inspiration. - Olga Vechtomova; Gaurav Sahu (EvoMUSART, 2025)

Future Sight: Fine-Tuning Language Models for Dynamic Story Generation. - Brian D. Zimmerman; Gaurav Sahu; Olga Vechtomova (EvoMUSART, 2025)

InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation. - Gaurav Sahu; Abhay Puri; Juan A. Rodríguez; Amirhossein Abaskohi; Mohammad Chegini; Alexandre Drouin; Perouz Taslakian; Valentina Zantedeschi; Alexandre Lacoste; David Vázquez 001; Nicolas Chapados; Christopher Pal; et al. (ICLR, 2025)

A Guide To Effectively Leveraging LLMs for Low-Resource Text Summarization: Data Augmentation and Semi-supervised Approaches. - Gaurav Sahu; Olga Vechtomova; Issam H. Laradji (NAACL (Findings), 2025)

LitLLMs, LLMs for Literature Review: Are we there yet? - Shubham Agarwal; Gaurav Sahu; Abhay Puri; Issam H. Laradji; Krishnamurthy Dj Dvijotham; Jason Stanley; Laurent Charlin; Christopher Pal (Trans. Mach. Learn. Res., 2025)