Jayanth Srinivasa

According to our database, Jayanth Srinivasa authored at least 43 papers between 2021 and 2026.

Collaborative distances:

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

2026

Survive or Collapse: The Asymmetric Roles of Data Gating and Reward Grounding in Self-Play RL.

Sophia Xiao Pu, Zhaotian Weng, Chengzhi Liu, Jayanth Srinivasa, Gaowen Liu, William Yang Wang, Xin Eric Wang

CoRR, May, 2026

TIER: Trajectory-Invariant Execution Rewards for Multi-Step Tool Composition.

Anay Kulkarni, ChiaEn Lu, Dheeraj Mekala, Jayanth Srinivasa, Gaowen Liu, Jingbo Shang

CoRR, May, 2026

EnactToM: An Evolving Benchmark for Functional Theory of Mind in Embodied Agents.

Gurusha Juneja, Dylan Lu, Saaket Agashe, Parth Diwane, Edward Gunn, Jayanth Srinivasa, Gaowen Liu, William Yang Wang, Yali Du, Xin Eric Wang

CoRR, May, 2026

Predicting Plasticity in Deep Continual Learning: A Theoretical Perspective.

Jiuqi Wang, Jayanth Srinivasa, Claire Chen, Shuze Daniel Liu, Ali Payani, Shangtong Zhang

CoRR, May, 2026

FAMA: Failure-Aware Meta-Agentic Framework for Open-Source LLMs in Interactive Tool Use Environments.

Amir Saeidi, Venkatesh Mishra, Souradeep Mukhopadhyay, Gaowen Liu, Ali Payani, Jayanth Srinivasa, Chitta Baral

CoRR, April, 2026

AgentDS Technical Report: Benchmarking the Future of Human-AI Collaboration in Domain-Specific Data Science.

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

CoRR, March, 2026

Context Bootstrapped Reinforcement Learning.

Saaket Agashe, Jayanth Srinivasa, Gaowen Liu, Ramana Kompella, Xin Eric Wang

CoRR, March, 2026

Nalar: An agent serving framework.

Marco Laju, Donghyun Son, Saurabh Agarwal, Nitin Kedia, Myungjin Lee, Jayanth Srinivasa, Aditya Akella

CoRR, January, 2026

Software-Defined Agentic Serving.

Saurabh Agarwal, Marco Laju, Jayanth Srinivasa, Myungjin Lee, Aditya Akella

CoRR, January, 2026

2025

Dora: QoE-Aware Hybrid Parallelism for Distributed Edge AI.

Jianli Jin, Ziyang Lin, Qianli Dong, Yi Chen, Jayanth Srinivasa, Myungjin Lee, Zhaowei Tan, Fan Lai

CoRR, December, 2025

PLSemanticsBench: Large Language Models As Programming Language Interpreters.

Aditya Thimmaiah, Jiyang Zhang, Jayanth Srinivasa, Junyi Jessy Li, Milos Gligoric

CoRR, October, 2025

How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on τ-bench.

Venkatesh Mishra, Amir Saeidi, Satyam Raj, Mutsumi Nakamura, Jayanth Srinivasa, Gaowen Liu, Ali Payani, Chitta Baral

CoRR, August, 2025

Model-Based Diagnosis: Automating End-to-End Diagnosis of Network Failures.

Changrong Wu, Yiyao Yu, Myungjin Lee, Jayanth Srinivasa, Ennan Zhai, George Varghese, Yuval Tamir

CoRR, June, 2025

EXP-Bench: Can AI Conduct AI Research Experiments?

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

CoRR, May, 2025

An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems.

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

CoRR, May, 2025

Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection.

Yuwei Zhang, Wenhao Yu, Shangbin Feng, Yifan Zhu, Letian Peng, Jayanth Srinivasa, Gaowen Liu, Jingbo Shang

CoRR, May, 2025

SkillWeaver: Web Agents can Self-Improve by Discovering and Honing Skills.

Boyuan Zheng, Michael Y. Fatemi, Xiaolong Jin, Zora Zhiruo Wang, Apurva Gandhi, Yueqi Song, Yu Gu, Jayanth Srinivasa, Gaowen Liu, Graham Neubig, Yu Su

CoRR, April, 2025

Attention Reveals More Than Tokens: Training-Free Long-Context Reasoning with Attention-guided Retrieval.

Yuwei Zhang, Jayanth Srinivasa, Gaowen Liu, Jingbo Shang

CoRR, March, 2025

Curie: Toward Rigorous and Automated Scientific Experimentation with AI Agents.

Patrick Tser Jern Kon, Jiachen Liu, Qiuyi Ding, Yiming Qiu, Zhenning Yang, Yibo Huang, Jayanth Srinivasa, Myungjin Lee, Mosharaf Chowdhury, Ang Chen

CoRR, February, 2025

Investigating the Shortcomings of LLMs in Step-by-Step Legal Reasoning.

Venkatesh Mishra, Bimsara Pathiraja, Mihir Parmar, Sat Chidananda, Jayanth Srinivasa, Gaowen Liu, Ali Payani, Chitta Baral

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

The Hidden Risks of Large Reasoning Models: A Safety Assessment of R1.

Kaiwen Zhou, Chengzhi Liu, Xuandong Zhao, Shreedhar Jangam, Jayanth Srinivasa, Gaowen Liu, Dawn Song, Xin Eric Wang

Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

On the Vulnerability of Applying Retrieval-Augmented Generation within Knowledge-Intensive Application Domains.

Xun Xian, Ganghua Wang, Xuan Bi, Rui Zhang, Jayanth Srinivasa, Ashish Kundu, Charles Fleming, Mingyi Hong, Jie Ding

Proceedings of the Forty-second International Conference on Machine Learning, 2025

SafeKey: Amplifying Aha-Moment Insights for Safety Reasoning.

Kaiwen Zhou, Xuandong Zhao, Jayanth Srinivasa, Gaowen Liu, Aosong Feng, Dawn Song, Xin Eric Wang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on tau-bench.

Venkatesh Mishra, Amir Saeidi, Satyam Raj, Mutsumi Nakamura, Gaowen Liu, Ali Payani, Jayanth Srinivasa, Chitta Baral

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

AssistedDS: Benchmarking How External Domain Knowledge Assists LLMs in Automated Data Science.

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Can Agentic AI Match the Performance of Human Data Scientists?

An Luo, Jin Du, Fangqiao Tian, Xun Xian, Robert Specht, Ganghua Wang, Xuan Bi, Charles Fleming, Jayanth Srinivasa, Ashish Kundu, Mingyi Hong, Jie Ding

Proceedings of the 10th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2025

2024

Diverse Score Distillation.

Yanbo Xu, Jayanth Srinivasa, Gaowen Liu, Shubham Tulsiani

CoRR, 2024

On the Vulnerability of Applying Retrieval-Augmented Generation within Knowledge-Intensive Application Domains.

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

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Fan Yin, Jayanth Srinivasa, Kai-Wei Chang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Demystifying Poisoning Backdoor Attacks from a Statistical Perspective.

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Open-world Multi-label Text Classification with Extremely Weak Supervision.

Xintong Li, Jinya Jiang, Ria Dharmani, Jayanth Srinivasa, Gaowen Liu, Jingbo Shang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Enhancing Large Language Models through Transforming Reasoning Problems into Classification Tasks.

Tarun Raheja, Raunak Sinha, Advit Deepak, Will Healy, Jayanth Srinivasa, Myungjin Lee, Ramana Kompella

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Argument-Aware Approach To Event Linking.

I-Hung Hsu, Zihan Xue, Nilay Pochhi, Sahil Bansal, Prem Natarajan, Jayanth Srinivasa, Nanyun Peng

Proceedings of the Findings of the Association for Computational Linguistics, 2024

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