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Jayanth Srinivasa
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2020 – today
- 2024
- [c13]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: 459-477 - [c12]I-Hung Hsu, Zihan Xue, Nilay Pochhi, Sahil Bansal, Prem Natarajan, Jayanth Srinivasa, Nanyun Peng:
Argument-Aware Approach To Event Linking. ACL (Findings) 2024: 12769-12781 - [c11]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: 6007-6016 - [c10]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. EMNLP 2024: 7646-7663 - [c9]Xintong Li, Jinya Jiang, Ria Dharmani, Jayanth Srinivasa, Gaowen Liu, Jingbo Shang:
Open-world Multi-label Text Classification with Extremely Weak Supervision. EMNLP 2024: 15084-15096 - [c8]Ganghua Wang, Xun Xian, Ashish Kundu, Jayanth Srinivasa, Xuan Bi, Mingyi Hong, Jie Ding:
Demystifying Poisoning Backdoor Attacks from a Statistical Perspective. ICLR 2024 - [c7]Fan Yin, Jayanth Srinivasa, Kai-Wei Chang:
Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension. ICML 2024 - [i11]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 abs/2402.09642 (2024) - [i10]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 abs/2402.14672 (2024) - [i9]Fan Yin, Jayanth Srinivasa, Kai-Wei Chang:
Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension. CoRR abs/2402.18048 (2024) - [i8]I-Hung Hsu, Zihan Xue, Nilay Pochhi, Sahil Bansal, Premkumar Natarajan, Jayanth Srinivasa, Nanyun Peng:
Argument-Aware Approach To Event Linking. CoRR abs/2403.15097 (2024) - [i7]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 abs/2403.18774 (2024) - [i6]Xintong Li, Jinya Jiang, Ria Dharmani, Jayanth Srinivasa, Gaowen Liu, Jingbo Shang:
Open-world Multi-label Text Classification with Extremely Weak Supervision. CoRR abs/2407.05609 (2024) - [i5]Xun Xian, Ganghua Wang, Xuan Bi, Jayanth Srinivasa, Ashish Kundu, Charles Fleming, Mingyi Hong, Jie Ding:
On the Vulnerability of Applying Retrieval-Augmented Generation within Knowledge-Intensive Application Domains. CoRR abs/2409.17275 (2024) - 2023
- [c6]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: 1359-1372 - [c5]Vardaan Pahuja
, Boshi Wang
A Retrieve-and-Read Framework for Knowledge Graph Link Prediction. CIKM 2023: 1992-2002 - [c4]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: 5037-5045 - [c3]Xun Xian, Ganghua Wang, Jayanth Srinivasa, Ashish Kundu, Xuan Bi, Mingyi Hong, Jie Ding:
Understanding Backdoor Attacks through the Adaptability Hypothesis. ICML 2023: 37952-37976 - [c2]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 - [c1]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 - [i4]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 abs/2305.13073 (2023) - [i3]Ganghua Wang, Xun Xian, Jayanth Srinivasa, Ashish Kundu, Xuan Bi, Mingyi Hong, Jie Ding:
Demystifying Poisoning Backdoor Attacks from a Statistical Perspective. CoRR abs/2310.10780 (2023) - 2022
- [i2]Vardaan Pahuja, Boshi Wang, Hugo Latapie, Jayanth Srinivasa, Yu Su:
A Retrieve-and-Read Framework for Knowledge Graph Link Prediction. CoRR abs/2212.09724 (2022) - 2021
- [j1]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): 205-227 (2021) - [i1]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 abs/2102.06112 (2021)
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