| 2025 | ACL | Tree-of-Prompts: Abstracting Control-Flow for Prompt Optimization. | Jihyuk Kim, Shubham Garg, Lahari Poddar, Seung-won Hwang, Chris Hench |
| 2023 | ACL | Few Shot Rationale Generation using Self-Training with Dual Teachers. | Aditya Srikanth Veerubhotla, Lahari Poddar, Jun Yin, Gyrgy Szarvas, Sharanya Eswaran |
| 2022 | COLING | DialAug: Mixing up Dialogue Contexts in Contrastive Learning for Robust Conversational Modeling. | Lahari Poddar, Peiyao Wang, Julia Reinspach |
| 2022 | EMNLP | Deploying a Retrieval based Response Model for Task Oriented Dialogues. | Lahari Poddar, Gyrgy Szarvas, Cheng Wang, Jorge Balazs, Pavel Danchenko, Patrick Ernst |
| 2022 | EMNLP | Calibrating Imbalanced Classifiers with Focal Loss: An Empirical Study. | Cheng Wang, Jorge Balazs, Gyrgy Szarvas, Patrick Ernst, Lahari Poddar, Pavel Danchenko |
| 2019 | ICTAI | Predicting User Reported Symptoms Using a Gated Neural Network. | Lahari Poddar, Wynne Hsu, Mong-Li Lee |
| 2019 | NAACL | Train One Get One Free: Partially Supervised Neural Network for Bug Report Duplicate Detection and Clustering. | Lahari Poddar, Leonardo Neves, William Brendel, Lus Marujo, Sergey Tulyakov, Pradeep Karuturi |
| 2018 | ICTAI | Predicting Stances in Twitter Conversations for Detecting Veracity of Rumors: A Neural Approach. | Lahari Poddar, Wynne Hsu, Mong-Li Lee, Shruti Subramaniyam |
| 2018 | WWW | Cold Start Thread Recommendation as Extreme Multi-label Classification. | Kishaloy Halder, Lahari Poddar, Min-Yen Kan |
| 2017 | EMNLP | Author-aware Aspect Topic Sentiment Model to Retrieve Supporting Opinions from Reviews. | Lahari Poddar, Wynne Hsu, Mong-Li Lee |
| 2017 | IJCAI | Quantifying Aspect Bias in Ordinal Ratings using a Bayesian Approach. | Lahari Poddar, Wynne Hsu, Mong-Li Lee |
| 2013 | ACL | IndoNet: A Multilingual Lexical Knowledge Network for Indian Languages. | Brijesh Bhatt, Lahari Poddar, Pushpak Bhattacharyya |