Jayanth Srinivasa

According to our database, Jayanth Srinivasa authored at least 13 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

RAW: A Robust and Agile Plug-and-Play Watermark Framework for AI-Generated Images with Provable Guarantees.

Xun Xian, Ganghua Wang, Xuan Bi, Jayanth Srinivasa, Ashish Kundu, Mingyi Hong, Jie Ding

CoRR, 2024

Argument-Aware Approach To Event Linking.

I-Hung Hsu, Zihan Xue, Nilay Pochh, Sahil Bansal, Premkumar Natarajan, Jayanth Srinivasa, Nanyun Peng

CoRR, 2024

Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension.

Fan Yin, Jayanth Srinivasa, Kai-Wei Chang

CoRR, 2024

Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments.

Yu Gu, Yiheng Shu, Hao Yu, Xiao Liu, Yuxiao Dong, Jie Tang, Jayanth Srinivasa, Hugo Latapie, Yu Su

CoRR, 2024

Answer is All You Need: Instruction-following Text Embedding via Answering the Question.

Letian Peng, Yuwei Zhang, Zilong Wang, Jayanth Srinivasa, Gaowen Liu, Zihan Wang, Jingbo Shang

CoRR, 2024

2023

Demystifying Poisoning Backdoor Attacks from a Statistical Perspective.

Ganghua Wang, Xun Xian, Jayanth Srinivasa, Ashish Kundu, Xuan Bi, Mingyi Hong, Jie Ding

CoRR, 2023

A Unified Detection Framework for Inference-Stage Backdoor Defenses.

Xun Xian, Ganghua Wang, Jayanth Srinivasa, Ashish Kundu, Xuan Bi, Mingyi Hong, Jie Ding

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling.

Haotao Wang, Ziyu Jiang, Yuning You, Yan Han, Gaowen Liu, Jayanth Srinivasa, Ramana Kompella, Zhangyang Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Understanding Backdoor Attacks through the Adaptability Hypothesis.

Xun Xian, Ganghua Wang, Jayanth Srinivasa, Ashish Kundu, Xuan Bi, Mingyi Hong, Jie Ding

Proceedings of the International Conference on Machine Learning, 2023

Many-Task Federated Learning: A New Problem Setting and A Simple Baseline.

Ruisi Cai, Xiaohan Chen, Shiwei Liu, Jayanth Srinivasa, Myungjin Lee, Ramana Kompella, Zhangyang Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

A Retrieve-and-Read Framework for Knowledge Graph Link Prediction.

Vardaan Pahuja, Boshi Wang, Hugo Latapie, Jayanth Srinivasa, Yu Su

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Text-to-SQL Error Correction with Language Models of Code.

Ziru Chen, Shijie Chen, Michael White, Raymond J. Mooney, Ali Payani, Jayanth Srinivasa, Yu Su, Huan Sun

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2021

A Metamodel and Framework for Artificial General Intelligence From Theory to Practice.

Hugo Latapie, Özkan Kiliç, Gaowen Liu, Ramana Kompella, Adam Lawrence, Yuhong Sun, Jayanth Srinivasa, Yan Yan, Pei Wang, Kristinn R. Thórisson

J. Artif. Intell. Conscious., 2021