| A metamodel and framework for artificial general intelligence from theory to practice H Latapie, O Kilic, G Liu, R Kompella, A Lawrence, Y Sun, J Srinivasa, ... Journal of Artificial Intelligence and Consciousness 8 (02), 205-227, 2021 | 11 | 2021 |
| Understanding backdoor attacks through the adaptability hypothesis X Xian, G Wang, J Srinivasa, A Kundu, X Bi, M Hong, J Ding International Conference on Machine Learning, 37952-37976, 2023 | 6 | 2023 |
| Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments Y Gu, Y Shu, H Yu, X Liu, Y Dong, J Tang, J Srinivasa, H Latapie, Y Su arXiv preprint arXiv:2402.14672, 2024 | 3 | 2024 |
| Graph mixture of experts: Learning on large-scale graphs with explicit diversity modeling H Wang, Z Jiang, Y You, Y Han, G Liu, J Srinivasa, R Kompella, Z Wang Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
| Text-to-SQL error correction with language models of code Z Chen, S Chen, M White, R Mooney, A Payani, J Srinivasa, Y Su, H Sun arXiv preprint arXiv:2305.13073, 2023 | 3 | 2023 |
| Many-task federated learning: A new problem setting and a simple baseline R Cai, X Chen, S Liu, J Srinivasa, M Lee, R Kompella, Z Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 3 | 2023 |
| A retrieve-and-read framework for knowledge graph link prediction V Pahuja, B Wang, H Latapie, J Srinivasa, Y Su Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 2 | 2023 |
| Parametric Texture Model based on Joint Statistics G Bellala, K Sricharan, J Srinivasa | 2 | 2000 |
| Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension F Yin, J Srinivasa, KW Chang arXiv preprint arXiv:2402.18048, 2024 | 1 | 2024 |
| Answer is All You Need: Instruction-following Text Embedding via Answering the Question L Peng, Y Zhang, Z Wang, J Srinivasa, G Liu, Z Wang, J Shang arXiv preprint arXiv:2402.09642, 2024 | 1 | 2024 |
| A unified detection framework for inference-stage backdoor defenses X Xian, G Wang, J Srinivasa, A Kundu, X Bi, M Hong, J Ding Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| Argument-Aware Approach To Event Linking I Hsu, Z Xue, N Pochh, S Bansal, P Natarajan, J Srinivasa, N Peng arXiv preprint arXiv:2403.15097, 2024 | | 2024 |
| RAW: A Robust and Agile Plug-and-Play Watermark Framework for AI-Generated Images with Provable Guarantees X Xian, G Wang, X Bi, J Srinivasa, A Kundu, M Hong, J Ding arXiv preprint arXiv:2403.18774, 2024 | | 2024 |
| Demystifying Poisoning Backdoor Attacks from a Statistical Perspective X Xian, G Wang, J Srinivasa, A Kundu, X Bi, M Hong, J Ding arXiv preprint arXiv:2310.10780, 2023 | | 2023 |
| Secure microphone agent H Latapie, O Kilic, AJ Lawrence, LIU Gaowen, RRVR Kompella, ... US Patent App. 17/496,011, 2023 | | 2023 |
| Simplifying machine learning workload composition M Lee, RRVR Kompella, J Srinivasa, A Payani US Patent App. 17/493,947, 2023 | | 2023 |
| A Parametric Texture Model based on Joint Statistics of Complex Wavelet Coefficients G Bellala, K Sricharan, J Srinivasa | | |
