| 2023 | RecSys | RecQR: Using Recommendation Systems for Query Reformulation to correct unseen errors in spoken dialog systems. | Manik Bhandari, Mingxian Wang, Oleg Poliannikov, Kanna Shimizu |
| 2021 | AAAI | Unsupervised Causal Knowledge Extraction from Text using Natural Language Inference (Student Abstract). | Manik Bhandari, Mark Feblowitz, Oktie Hassanzadeh, Kavitha Srinivas, Shirin Sohrabi |
| 2020 | COLING | Metrics also Disagree in the Low Scoring Range: Revisiting Summarization Evaluation Metrics. | Manik Bhandari, Pranav Narayan Gour, Atabak Ashfaq, Pengfei Liu |
| 2020 | EMNLP | Re-evaluating Evaluation in Text Summarization. | Manik Bhandari, Pranav Narayan Gour, Atabak Ashfaq, Pengfei Liu, Graham Neubig |
| 2019 | ACL | Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks. | Shikhar Vashishth, Manik Bhandari, Prateek Yadav, Piyush Rai, Chiranjib Bhattacharyya, Partha P. Talukdar |
| 2019 | AISTATS | Confidence-based Graph Convolutional Networks for Semi-Supervised Learning. | Shikhar Vashishth, Prateek Yadav, Manik Bhandari, Partha P. Talukdar |
| 2019 | NAACL | Submodular Optimization-based Diverse Paraphrasing and its Effectiveness in Data Augmentation. | Ashutosh Kumar, Satwik Bhattamishra, Manik Bhandari, Partha P. Talukdar |