| 2026 | ACL | RIMRULE: Improving Tool-Using Language Agents via MDL-Guided Rule Learning. | Xiang Gao, Yuguang Yao, Qi Zhang, Kaiwen Dong, Avinash Baidya, Ruocheng Guo, Hilaf Hasson, Kamalika Das |
| 2025 | ACL | The Behavior Gap: Evaluating Zero-shot LLM Agents in Complex Task-Oriented Dialogs. | Avinash Baidya, Kamalika Das, Xiang Gao |
| 2025 | ACL | SEE: Strategic Exploration and Exploitation for Cohesive In-Context Prompt Optimization. | Wendi Cui, Jiaxin Zhang, Zhuohang Li, Hao Sun, Damien Lopez, Kamalika Das, Bradley A. Malin, Kumar Sricharan |
| 2025 | ACL | Heuristic-based Search Algorithm in Automatic Instruction-focused Prompt Optimization: A Survey. | Wendi Cui, Jiaxin Zhang, Zhuohang Li, Hao Sun, Damien Lopez, Kamalika Das, Bradley A. Malin, Kumar Sricharan |
| 2025 | ICANN | XOOD: A Self-supervised Algorithm for Detecting Out-of-Distribution Data for Image Classification. | Frej Berglind, Magesh Rajasekaran, Md Saiful Islam Sajol, Haron Temam, Supratik Mukhopadhyay, Kamalika Das, Kumar Sricharan, Kumar Kallurupalli |
| 2025 | NAACL | Learning to Search Effective Example Sequences for In-Context Learning. | Xiang Gao, Ankita Sinha, Kamalika Das |
| 2025 | NAACL | Gradient-guided Attention Map Editing: Towards Efficient Contextual Hallucination Mitigation. | Yu Wang, Jiaxin Zhang, Xiang Gao, Wendi Cui, Peng Li, Kamalika Das |
| 2024 | AAAI | Customizing Language Model Responses with Contrastive In-Context Learning. | Xiang Gao, Kamalika Das |
| 2024 | AISTATS | Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods. | Jiaxin Zhang, Kamalika Das, Kumar Sricharan |
| 2024 | EACL | SPUQ: Perturbation-Based Uncertainty Quantification for Large Language Models. | Xiang Gao, Jiaxin Zhang, Lalla Mouatadid, Kamalika Das |
| 2024 | EMNLP | Divide-Conquer-Reasoning for Consistency Evaluation and Automatic Improvement of Large Language Models. | Wendi Cui, Zhuohang Li, Damien Lopez, Kamalika Das, Bradley A. Malin, Kumar Sricharan, Jiaxin Zhang |
| 2024 | EMNLP | Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation. | Zhuohang Li, Jiaxin Zhang, Chao Yan, Kamalika Das, Kumar Sricharan, Murat Kantarcioglu, Bradley A. Malin |
| 2024 | EMNLP | Survival of the Safest: Towards Secure Prompt Optimization through Interleaved Multi-Objective Evolution. | Ankita Sinha, Wendi Cui, Kamalika Das, Jiaxin Zhang |
| 2024 | EMNLP | Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language Models. | Jiaxin Zhang, Wendi Cui, Yiran Huang, Kamalika Das, Kumar Sricharan |
| 2024 | WACV | DECDM: Document Enhancement using Cycle-Consistent Diffusion Models. | Jiaxin Zhang, Joy Rimchala, Lalla Mouatadid, Kamalika Das, Kumar Sricharan |
| 2024 | SDM | COMBOOD: A Semiparametric Approach for Detecting Out-of-distribution Data for Image Classification. | Magesh Rajasekaran, Md Saiful Islam Sajol, Frej Berglind, Supratik Mukhopadhyay, Kamalika Das |
| 2023 | EMNLP | SAC³: Reliable Hallucination Detection in Black-Box Language Models via Semantic-aware Cross-check Consistency. | Jiaxin Zhang, Zhuohang Li, Kamalika Das, Bradley A. Malin, Kumar Sricharan |
| 2020 | KDD | Learning Instrument Invariant Characteristics for Generating High-resolution Global Coral Reef Maps. | Ata Akbari Asanjan, Kamalika Das, Alan S. Li, Ved Chirayath, Juan Torres-Perez, Soroosh Sorooshian |
| 2018 | PPSN | Understanding Climate-Vegetation Interactions in Global Rainforests Through a GP-Tree Analysis. | Anuradha Kodali, Marcin Szubert, Kamalika Das, Sangram Ganguly, Joshua Clifford Bongard |
| 2016 | GECCO | Reducing Antagonism between Behavioral Diversity and Fitness in Semantic Genetic Programming. | Marcin Szubert, Anuradha Kodali, Sangram Ganguly, Kamalika Das, Josh C. Bongard |
| 2016 | PPSN | Semantic Forward Propagation for Symbolic Regression. | Marcin Szubert, Anuradha Kodali, Sangram Ganguly, Kamalika Das, Josh C. Bongard |
| 2014 | SIGMOD | Localizing anomalous changes in time-evolving graphs. | Kumar Sricharan, Kamalika Das |
| 2011 | ICDM | Detecting Abnormal Machine Characteristics in Cloud Infrastructures. | Kanishka Bhaduri, Kamalika Das, Bryan L. Matthews |
| 2011 | SDM | Distributed Monitoring of the R2 Statistic for Linear Regression. | Kanishka Bhaduri, Kamalika Das, Chris Giannella |
| 2010 | ICDM | Block-GP: Scalable Gaussian Process Regression for Multimodal Data. | Kamalika Das, Ashok N. Srivastava |
| 2009 | SDM | Scalable Distributed Change Detection from Astronomy Data Streams Using Local, Asynchronous Eigen Monitoring Algorithms. | Kamalika Das, Kanishka Bhaduri, Sugandha Arora, Wesley Griffin, Kirk D. Borne, Chris Giannella, Hillol Kargupta |