Jayanth Srinivasa

53 papers A* 10A 1Journal 32Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
AgentDS Technical Report: Benchmarking the Future of Human-AI Collaboration in Domain-Specific Data Science.
CoRR
An Luo, Jin Du, Xun Xian, Robert Specht, Fangqiao Tian, Ganghua Wang, Xuan Bi, Charles Fleming, Ashish Kundu, Jayanth Srinivasa, Mingyi Hong, Rui Zhang, Tianxi Li, Galin Jones, Jie Ding
2026 J jnl
Context Bootstrapped Reinforcement Learning.
CoRR
Saaket Agashe, Jayanth Srinivasa, Gaowen Liu, Ramana Kompella, Xin Eric Wang
2026 J jnl
Nalar: An agent serving framework.
CoRR
Marco Laju, Donghyun Son, Saurabh Agarwal, Nitin Kedia, Myungjin Lee, Jayanth Srinivasa, Aditya Akella
2026 J jnl
Software-Defined Agentic Serving.
CoRR
Saurabh Agarwal, Marco Laju, Jayanth Srinivasa, Myungjin Lee, Aditya Akella
2025 J jnl
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems.
CoRR
Fangqiao Tian, An Luo, Jin Du, Xun Xian, Robert Specht, Ganghua Wang, Xuan Bi, Jiawei Zhou, Jayanth Srinivasa, Ashish Kundu, Charles Fleming, Rui Zhang, Zirui Liu, Mingyi Hong, Jie Ding
2025 — conf
AssistedDS: Benchmarking How External Domain Knowledge Assists LLMs in Automated Data Science.
EMNLP (Findings)
An Luo, Xun Xian, Jin Du, Fangqiao Tian, Ganghua Wang, Ming Zhong, Shengchun Zhao, Xuan Bi, Zirui Liu, Jiawei Zhou, Jayanth Srinivasa, Ashish Kundu, Charles Fleming, Mingyi Hong, Jie Ding
2025 J jnl
AssistedDS: Benchmarking How External Domain Knowledge Assists LLMs in Automated Data Science.
CoRR
An Luo, Xun Xian, Jin Du, Fangqiao Tian, Ganghua Wang, Ming Zhong, Shengchun Zhao, Xuan Bi, Zirui Liu, Jiawei Zhou, Jayanth Srinivasa, Ashish Kundu, Charles Fleming, Mingyi Hong, Jie Ding
2025 J jnl
Attention Reveals More Than Tokens: Training-Free Long-Context Reasoning with Attention-guided Retrieval.
CoRR
Yuwei Zhang, Jayanth Srinivasa, Gaowen Liu, Jingbo Shang
2025 J jnl
Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection.
CoRR
Yuwei Zhang, Wenhao Yu, Shangbin Feng, Yifan Zhu, Letian Peng, Jayanth Srinivasa, Gaowen Liu, Jingbo Shang
2025 — conf
Can Agentic AI Match the Performance of Human Data Scientists?
CAMSAP
An Luo, Jin Du, Fangqiao Tian, Xun Xian, Robert Specht, Ganghua Wang, Xuan Bi, Charles Fleming, Jayanth Srinivasa, Ashish Kundu, Mingyi Hong, Jie Ding
2025 J jnl
Can Agentic AI Match the Performance of Human Data Scientists?
CoRR
An Luo, Jin Du, Fangqiao Tian, Xun Xian, Robert Specht, Ganghua Wang, Xuan Bi, Charles Fleming, Jayanth Srinivasa, Ashish Kundu, Mingyi Hong, Jie Ding
2025 J jnl
Curie: Toward Rigorous and Automated Scientific Experimentation with AI Agents.
CoRR
Patrick Tser Jern Kon, Jiachen Liu, Qiuyi Ding, Yiming Qiu, Zhenning Yang, Yibo Huang, Jayanth Srinivasa, Myungjin Lee, Mosharaf Chowdhury, Ang Chen
2025 J jnl
Dora: QoE-Aware Hybrid Parallelism for Distributed Edge AI.
CoRR
Jianli Jin, Ziyang Lin, Qianli Dong, Yi Chen, Jayanth Srinivasa, Myungjin Lee, Zhaowei Tan, Fan Lai
2025 J jnl
EXP-Bench: Can AI Conduct AI Research Experiments?
CoRR
Patrick Tser Jern Kon, Jiachen Liu, Xinyi Zhu, Qiuyi Ding, Jingjia Peng, Jiarong Xing, Yibo Huang, Yiming Qiu, Jayanth Srinivasa, Myungjin Lee, Mosharaf Chowdhury, Matei Zaharia, Ang Chen
2025 — conf
How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on tau-bench.
EMNLP (Findings)
Venkatesh Mishra, Amir Saeidi, Satyam Raj, Mutsumi Nakamura, Gaowen Liu, Ali Payani, Jayanth Srinivasa, Chitta Baral
2025 J jnl
How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on τ-bench.
CoRR
Venkatesh Mishra, Amir Saeidi, Satyam Raj, Mutsumi Nakamura, Jayanth Srinivasa, Gaowen Liu, Ali Payani, Chitta Baral
2025 — conf
Investigating the Shortcomings of LLMs in Step-by-Step Legal Reasoning.
NAACL (Findings)
Venkatesh Mishra, Bimsara Pathiraja, Mihir Parmar, Sat Chidananda, Jayanth Srinivasa, Gaowen Liu, Ali Payani, Chitta Baral
2025 J jnl
Investigating the Shortcomings of LLMs in Step-by-Step Legal Reasoning.
CoRR
Venkatesh Mishra, Bimsara Pathiraja, Mihir Parmar, Sat Chidananda, Jayanth Srinivasa, Gaowen Liu, Ali Payani, Chitta Baral
2025 J jnl
Model-Based Diagnosis: Automating End-to-End Diagnosis of Network Failures.
CoRR
Changrong Wu, Yiyao Yu, Myungjin Lee, Jayanth Srinivasa, Ennan Zhai, George Varghese, Yuval Tamir
2025 A* conf
On the Vulnerability of Applying Retrieval-Augmented Generation within Knowledge-Intensive Application Domains.
ICML
Xun Xian, Ganghua Wang, Xuan Bi, Rui Zhang, Jayanth Srinivasa, Ashish Kundu, Charles Fleming, Mingyi Hong, Jie Ding
2025 J jnl
PLSemanticsBench: Large Language Models As Programming Language Interpreters.
CoRR
Aditya Thimmaiah, Jiyang Zhang, Jayanth Srinivasa, Junyi Jessy Li, Milos Gligoric
2025 A* conf
SafeKey: Amplifying Aha-Moment Insights for Safety Reasoning.
EMNLP
Kaiwen Zhou, Xuandong Zhao, Jayanth Srinivasa, Gaowen Liu, Aosong Feng, Dawn Song, Xin Eric Wang
2025 J jnl
SafeKey: Amplifying Aha-Moment Insights for Safety Reasoning.
CoRR
Kaiwen Zhou, Xuandong Zhao, Gaowen Liu, Jayanth Srinivasa, Aosong Feng, Dawn Song, Xin Eric Wang
2025 J jnl
SkillWeaver: Web Agents can Self-Improve by Discovering and Honing Skills.
CoRR
Boyuan Zheng, Michael Y. Fatemi, Xiaolong Jin, Zora Zhiruo Wang, Apurva Gandhi, Yueqi Song, Yu Gu, Jayanth Srinivasa, Gaowen Liu, Graham Neubig, Yu Su
2025 — conf
The Hidden Risks of Large Reasoning Models: A Safety Assessment of R1.
IJCNLP-AACL (long papers)
Kaiwen Zhou, Chengzhi Liu, Xuandong Zhao, Shreedhar Jangam, Jayanth Srinivasa, Gaowen Liu, Dawn Song, Xin Eric Wang
2025 J jnl
The Hidden Risks of Large Reasoning Models: A Safety Assessment of R1.
CoRR
Kaiwen Zhou, Chengzhi Liu, Xuandong Zhao, Shreedhar Jangam, Jayanth Srinivasa, Gaowen Liu, Dawn Song, Xin Eric Wang
2024 — conf
Answer is All You Need: Instruction-following Text Embedding via Answering the Question.
ACL (1)
Letian Peng, Yuwei Zhang, Zilong Wang, Jayanth Srinivasa, Gaowen Liu, Zihan Wang, Jingbo Shang
2024 J jnl
Answer is All You Need: Instruction-following Text Embedding via Answering the Question.
CoRR
Letian Peng, Yuwei Zhang, Zilong Wang, Jayanth Srinivasa, Gaowen Liu, Zihan Wang, Jingbo Shang
2024 — conf
Argument-Aware Approach To Event Linking.
ACL (Findings)
I-Hung Hsu, Zihan Xue, Nilay Pochhi, Sahil Bansal, Prem Natarajan, Jayanth Srinivasa, Nanyun Peng
2024 J jnl
Argument-Aware Approach To Event Linking.
CoRR
I-Hung Hsu, Zihan Xue, Nilay Pochhi, Sahil Bansal, Premkumar Natarajan, Jayanth Srinivasa, Nanyun Peng
2024 A* conf
Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension.
ICML
Fan Yin, Jayanth Srinivasa, Kai-Wei Chang
2024 J jnl
Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension.
CoRR
Fan Yin, Jayanth Srinivasa, Kai-Wei Chang
2024 A* conf
Demystifying Poisoning Backdoor Attacks from a Statistical Perspective.
ICLR
Ganghua Wang, Xun Xian, Ashish Kundu, Jayanth Srinivasa, Xuan Bi, Mingyi Hong, Jie Ding
2024 J jnl
Diverse Score Distillation.
CoRR
Yanbo Xu, Jayanth Srinivasa, Gaowen Liu, Shubham Tulsiani
2024 — conf
Enhancing Large Language Models through Transforming Reasoning Problems into Classification Tasks.
LREC/COLING
Tarun Raheja, Raunak Sinha, Advit Deepak, Will Healy, Jayanth Srinivasa, Myungjin Lee, Ramana Kompella
2024 A* conf
Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments.
EMNLP
Yu Gu, Yiheng Shu, Hao Yu, Xiao Liu, Yuxiao Dong, Jie Tang, Jayanth Srinivasa, Hugo Latapie, Yu Su
2024 J jnl
Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments.
CoRR
Yu Gu, Yiheng Shu, Hao Yu, Xiao Liu, Yuxiao Dong, Jie Tang, Jayanth Srinivasa, Hugo Latapie, Yu Su
2024 J jnl
On the Vulnerability of Applying Retrieval-Augmented Generation within Knowledge-Intensive Application Domains.
CoRR
Xun Xian, Ganghua Wang, Xuan Bi, Jayanth Srinivasa, Ashish Kundu, Charles Fleming, Mingyi Hong, Jie Ding
2024 A* conf
Open-world Multi-label Text Classification with Extremely Weak Supervision.
EMNLP
Xintong Li, Jinya Jiang, Ria Dharmani, Jayanth Srinivasa, Gaowen Liu, Jingbo Shang
2024 J jnl
Open-world Multi-label Text Classification with Extremely Weak Supervision.
CoRR
Xintong Li, Jinya Jiang, Ria Dharmani, Jayanth Srinivasa, Gaowen Liu, Jingbo Shang
2024 A* conf
RAW: A Robust and Agile Plug-and-Play Watermark Framework for AI-Generated Images with Provable Guarantees.
NeurIPS
Xun Xian, Ganghua Wang, Xuan Bi, Jayanth Srinivasa, Ashish Kundu, Mingyi Hong, Jie Ding
2024 J jnl
RAW: A Robust and Agile Plug-and-Play Watermark Framework for AI-Generated Images with Provable Guarantees.
CoRR
Xun Xian, Ganghua Wang, Xuan Bi, Jayanth Srinivasa, Ashish Kundu, Mingyi Hong, Jie Ding
2023 A conf
A Retrieve-and-Read Framework for Knowledge Graph Link Prediction.
CIKM
Vardaan Pahuja, Boshi Wang, Hugo Latapie, Jayanth Srinivasa, Yu Su
2023 A* conf
A Unified Detection Framework for Inference-Stage Backdoor Defenses.
NeurIPS
Xun Xian, Ganghua Wang, Jayanth Srinivasa, Ashish Kundu, Xuan Bi, Mingyi Hong, Jie Ding
2023 J jnl
Demystifying Poisoning Backdoor Attacks from a Statistical Perspective.
CoRR
Ganghua Wang, Xun Xian, Jayanth Srinivasa, Ashish Kundu, Xuan Bi, Mingyi Hong, Jie Ding
2023 A* conf
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling.
NeurIPS
Haotao Wang, Ziyu Jiang, Yuning You, Yan Han, Gaowen Liu, Jayanth Srinivasa, Ramana Kompella, Zhangyang Wang
2023 — conf
Many-Task Federated Learning: A New Problem Setting and A Simple Baseline.
CVPR Workshops
Ruisi Cai, Xiaohan Chen, Shiwei Liu, Jayanth Srinivasa, Myungjin Lee, Ramana Kompella, Zhangyang Wang
2023 — conf
Text-to-SQL Error Correction with Language Models of Code.
ACL (2)
Ziru Chen, Shijie Chen, Michael White, Raymond J. Mooney, Ali Payani, Jayanth Srinivasa, Yu Su, Huan Sun
2023 J jnl
Text-to-SQL Error Correction with Language Models of Code.
CoRR
Ziru Chen, Shijie Chen, Michael White, Raymond J. Mooney, Ali Payani, Jayanth Srinivasa, Yu Su, Huan Sun
2023 A* conf
Understanding Backdoor Attacks through the Adaptability Hypothesis.
ICML
Xun Xian, Ganghua Wang, Jayanth Srinivasa, Ashish Kundu, Xuan Bi, Mingyi Hong, Jie Ding
2022 J jnl
A Retrieve-and-Read Framework for Knowledge Graph Link Prediction.
CoRR
Vardaan Pahuja, Boshi Wang, Hugo Latapie, Jayanth Srinivasa, Yu Su
2021 J jnl
A Metamodel and Framework for Artificial General Intelligence From Theory to Practice.
CoRR
Hugo Latapie, Özkan Kiliç, Gaowen Liu, Yan Yan, Ramana Kompella, Pei Wang, Kristinn R. Thórisson, Adam Lawrence, Yuhong Sun, Jayanth Srinivasa
2021 J jnl
A Metamodel and Framework for Artificial General Intelligence From Theory to Practice.
J. Artif. Intell. Conscious.
Hugo Latapie, Özkan Kiliç, Gaowen Liu, Ramana Kompella, Adam Lawrence, Yuhong Sun, Jayanth Srinivasa, Yan Yan, Pei Wang, Kristinn R. Thórisson