| 2026 | ACL | SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression. | Yiqiao Jin, Kartik Sharma, Vineeth Rakesh, Yingtong Dou, Menghai Pan, Mahashweta Das, Srijan Kumar |
| 2025 | EMNLP | Who Speaks Matters: Analysing the Influence of the Speaker's Linguistic Identity on Hate Classification. | Ananya Malik, Kartik Sharma, Shaily Bhatt, Lynnette Hui Xian Ng |
| 2025 | EMNLP | OG-RAG: Ontology-grounded retrieval-augmented generation for large language models. | Kartik Sharma, Peeyush Kumar, Yunqing Li |
| 2024 | ACL | Cross-Modal Projection in Multimodal LLMs Doesn't Really Project Visual Attributes to Textual Space. | Gaurav Verma, Minje Choi, Kartik Sharma, Jamelle Watson-Daniels, Sejoon Oh, Srijan Kumar |
| 2024 | ICML | Diffuse, Sample, Project: Plug-And-Play Controllable Graph Generation. | Kartik Sharma, Srijan Kumar, Rakshit S. Trivedi |
| 2023 | AAAI | Task and Model Agnostic Adversarial Attack on Graph Neural Networks. | Kartik Sharma, Samidha Verma, Sourav Medya, Arnab Bhattacharya, Sayan Ranu |
| 2023 | CIKM | Representation Learning in Continuous-Time Dynamic Signed Networks. | Kartik Sharma, Mohit Raghavendra, Yeon-Chang Lee, Anand Kumar M, Srijan Kumar |
| 2023 | CVPR | NoisyTwins: Class-Consistent and Diverse Image Generation Through StyleGANs. | Harsh Rangwani, Lavish Bansal, Kartik Sharma, Tejan Karmali, Varun Jampani, R. Venkatesh Babu |
| 2023 | KDD | Predicting Information Pathways Across Online Communities. | Yiqiao Jin, Yeon-Chang Lee, Kartik Sharma, Meng Ye, Karan Sikka, Ajay Divakaran, Srijan Kumar |
| 2023 | KDD | Temporal Dynamics-Aware Adversarial Attacks on Discrete-Time Dynamic Graph Models. | Kartik Sharma, Rakshit S. Trivedi, Rohit Sridhar, Srijan Kumar |
| 2021 | WSDM | Balance Maximization in Signed Networks via Edge Deletions. | Kartik Sharma, Iqra Altaf Gillani, Sourav Medya, Sayan Ranu, Amitabha Bagchi |