Jayanth Srinivasa

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 21

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Publications

Letian Peng, Yuwei Zhang, Zilong Wang, Jayanth Srinivasa, Gaowen Liu, Zihan Wang, Jingbo Shang
Answer is All You Need: Instruction-following Text Embedding via Answering the Question. ACL (1) (2024)
Xun Xian, Ganghua Wang, Xuan Bi, Jayanth Srinivasa, Ashish Kundu, Mingyi Hong, Jie Ding
RAW: A Robust and Agile Plug-and-Play Watermark Framework for AI-Generated Images with Provable Guarantees. CoRR (2024)
Tarun Raheja, Raunak Sinha, Advit Deepak, Will Healy, Jayanth Srinivasa, Myungjin Lee, Ramana Kompella
Enhancing Large Language Models through Transforming Reasoning Problems into Classification Tasks. LREC/COLING (2024)
Yu Gu, Yiheng Shu, Hao Yu, Xiao Liu, Yuxiao Dong, Jie Tang, Jayanth Srinivasa, Hugo Latapie, Yu Su
Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments. CoRR (2024)
Ganghua Wang, Xun Xian, Ashish Kundu, Jayanth Srinivasa, Xuan Bi, Mingyi Hong, Jie Ding
Demystifying Poisoning Backdoor Attacks from a Statistical Perspective. ICLR (2024)
I-Hung Hsu, Zihan Xue, Nilay Pochh, Sahil Bansal, Premkumar Natarajan, Jayanth Srinivasa, Nanyun Peng
Argument-Aware Approach To Event Linking. CoRR (2024)
Fan Yin, Jayanth Srinivasa, Kai-Wei Chang
Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension. CoRR (2024)
Xintong Li, Jinya Jiang, Ria Dharmani, Jayanth Srinivasa, Gaowen Liu, Jingbo Shang
Open-world Multi-label Text Classification with Extremely Weak Supervision. CoRR (2024)
Letian Peng, Yuwei Zhang, Zilong Wang, Jayanth Srinivasa, Gaowen Liu, Zihan Wang, Jingbo Shang
Answer is All You Need: Instruction-following Text Embedding via Answering the Question. CoRR (2024)
I-Hung Hsu, Zihan Xue, Nilay Pochhi, Sahil Bansal, Prem Natarajan, Jayanth Srinivasa, Nanyun Peng
Argument-Aware Approach To Event Linking. ACL (Findings) (2024)
Ruisi Cai, Xiaohan Chen, Shiwei Liu, Jayanth Srinivasa, Myungjin Lee, Ramana Kompella, Zhangyang Wang
Many-Task Federated Learning: A New Problem Setting and A Simple Baseline. CVPR Workshops (2023)
Ziru Chen, Shijie Chen, Michael White, Raymond J. Mooney, Ali Payani, Jayanth Srinivasa, Yu Su, Huan Sun
Text-to-SQL Error Correction with Language Models of Code. ACL (2) (2023)
Ganghua Wang, Xun Xian, Jayanth Srinivasa, Ashish Kundu, Xuan Bi, Mingyi Hong, Jie Ding
Demystifying Poisoning Backdoor Attacks from a Statistical Perspective. CoRR (2023)
Ziru Chen, Shijie Chen, Michael White, Raymond J. Mooney, Ali Payani, Jayanth Srinivasa, Yu Su, Huan Sun
Text-to-SQL Error Correction with Language Models of Code. CoRR (2023)
Vardaan Pahuja, Boshi Wang, Hugo Latapie, Jayanth Srinivasa, Yu Su
A Retrieve-and-Read Framework for Knowledge Graph Link Prediction. CIKM (2023)
Haotao Wang, Ziyu Jiang, Yuning You, Yan Han, Gaowen Liu, Jayanth Srinivasa, Ramana Kompella, Zhangyang Wang
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling. NeurIPS (2023)
Xun Xian, Ganghua Wang, Jayanth Srinivasa, Ashish Kundu, Xuan Bi, Mingyi Hong, Jie Ding
A Unified Detection Framework for Inference-Stage Backdoor Defenses. NeurIPS (2023)
Xun Xian, Ganghua Wang, Jayanth Srinivasa, Ashish Kundu, Xuan Bi, Mingyi Hong, Jie Ding
Understanding Backdoor Attacks through the Adaptability Hypothesis. ICML (2023)
Vardaan Pahuja, Boshi Wang, Hugo Latapie, Jayanth Srinivasa, Yu Su
A Retrieve-and-Read Framework for Knowledge Graph Link Prediction. CoRR (2022)
Hugo Latapie, Özkan Kiliç, Gaowen Liu, Yan Yan, Ramana Kompella, Pei Wang, Kristinn R. Thórisson, Adam Lawrence, Yuhong Sun, Jayanth Srinivasa
A Metamodel and Framework for Artificial General Intelligence From Theory to Practice. CoRR (2021)
Hugo Latapie, Özkan Kiliç, Gaowen Liu, Ramana Kompella, Adam Lawrence, Yuhong Sun, Jayanth Srinivasa, Yan Yan, Pei Wang, Kristinn R. Thórisson
A Metamodel and Framework for Artificial General Intelligence From Theory to Practice. J. Artif. Intell. Conscious. 8 (2) (2021)