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 002; Pei Wang 002; Kristinn R. Thórisson (J. Artif. Intell. Conscious., 2021)

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 001; Huan Sun 001 (ACL (2), 2023)

A Retrieve-and-Read Framework for Knowledge Graph Link Prediction. - Vardaan Pahuja; Boshi Wang; Hugo Latapie; Jayanth Srinivasa; Yu Su 001 (CIKM, 2023)

Many-Task Federated Learning: A New Problem Setting and A Simple Baseline. - Ruisi Cai; Xiaohan Chen; Shiwei Liu 003; Jayanth Srinivasa; Myungjin Lee; Ramana Kompella; Zhangyang Wang (CVPR Workshops, 2023)

Understanding Backdoor Attacks through the Adaptability Hypothesis. - Xun Xian; Ganghua Wang; Jayanth Srinivasa; Ashish Kundu; Xuan Bi; Mingyi Hong 001; Jie Ding 002 (ICML, 2023)

Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling. - Haotao Wang; Ziyu Jiang; Yuning You; Yan Han 001; Gaowen Liu; Jayanth Srinivasa; Ramana Kompella; Zhangyang Wang (NeurIPS, 2023)

A Unified Detection Framework for Inference-Stage Backdoor Defenses. - Xun Xian; Ganghua Wang; Jayanth Srinivasa; Ashish Kundu; Xuan Bi; Mingyi Hong 001; Jie Ding 002 (NeurIPS, 2023)

Argument-Aware Approach To Event Linking. - I-Hung Hsu; Zihan Xue; Nilay Pochhi; Sahil Bansal; Prem Natarajan; Jayanth Srinivasa; Nanyun Peng 001 (ACL (Findings), 2024)

Answer is All You Need: Instruction-following Text Embedding via Answering the Question. - Letian Peng; Yuwei Zhang 001; Zilong Wang 002; Jayanth Srinivasa; Gaowen Liu; Zihan Wang 001; Jingbo Shang (ACL (1), 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 (LREC/COLING, 2024)

Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments. - Yu Gu 016; Yiheng Shu; Hao Yu; Xiao Liu 036; Yuxiao Dong; Jie Tang 001; Jayanth Srinivasa; Hugo Latapie; Yu Su 001 (EMNLP, 2024)

Open-world Multi-label Text Classification with Extremely Weak Supervision. - Xintong Li 001; Jinya Jiang; Ria Dharmani; Jayanth Srinivasa; Gaowen Liu; Jingbo Shang (EMNLP, 2024)

Demystifying Poisoning Backdoor Attacks from a Statistical Perspective. - Ganghua Wang; Xun Xian; Ashish Kundu; Jayanth Srinivasa; Xuan Bi; Mingyi Hong 001; Jie Ding 002 (ICLR, 2024)

Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension. - Fan Yin; Jayanth Srinivasa; Kai-Wei Chang (ICML, 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 001; Jie Ding 002 (NeurIPS, 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 001; Jie Ding 002 (CoRR, 2024)

Diverse Score Distillation. - Yanbo Xu; Jayanth Srinivasa; Gaowen Liu; Shubham Tulsiani (CoRR, 2024)

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 (NAACL (Findings), 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 (CoRR, 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 005; Jayanth Srinivasa; Myungjin Lee; Mosharaf Chowdhury; Ang Chen 001 (CoRR, 2025)

Attention Reveals More Than Tokens: Training-Free Long-Context Reasoning with Attention-guided Retrieval. - Yuwei Zhang 001; Jayanth Srinivasa; Gaowen Liu; Jingbo Shang (CoRR, 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 016; Jayanth Srinivasa; Gaowen Liu; Graham Neubig; Yu Su 001 (CoRR, 2025)

Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection. - Yuwei Zhang 001; Wenhao Yu 002; Shangbin Feng; Yifan Zhu; Letian Peng; Jayanth Srinivasa; Gaowen Liu; Jingbo Shang (CoRR, 2025)

SafeKey: Amplifying Aha-Moment Insights for Safety Reasoning. - Kaiwen Zhou; Xuandong Zhao; Gaowen Liu; Jayanth Srinivasa; Aosong Feng; Dawn Song; Xin Eric Wang (CoRR, 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 028; et al. (CoRR, 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 005; Yiming Qiu; Jayanth Srinivasa; Myungjin Lee; Mosharaf Chowdhury; Matei Zaharia; et al. (CoRR, 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 001; Jiawei Zhou; Jayanth Srinivasa; Ashish Kundu; et al. (CoRR, 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, 2025)