Shelby Heinecke

According to our database, Shelby Heinecke authored at least 23 papers between 2018 and 2024.

Collaborative distances:

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

2024

AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System.

Zhiwei Liu, Weiran Yao, Jianguo Zhang, Liangwei Yang, Zuxin Liu, Juntao Tan, Prafulla Kumar Choubey, Tian Lan, Jason Wu, Huan Wang, Shelby Heinecke, Caiming Xiong, Silvio Savarese

CoRR, 2024

AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning.

Jianguo Zhang, Tian Lan, Rithesh Murthy, Zhiwei Liu, Weiran Yao, Juntao Tan, Thai Hoang, Liangwei Yang, Yihao Feng, Zuxin Liu, Tulika Awalgaonkar, Juan Carlos Niebles, Silvio Savarese, Shelby Heinecke, Huan Wang, Caiming Xiong

CoRR, 2024

Causal Layering via Conditional Entropy.

Itai Feigenbaum, Devansh Arpit, Huan Wang, Shelby Heinecke, Juan Carlos Niebles, Weiran Yao, Caiming Xiong, Silvio Savarese

CoRR, 2024

Editing Arbitrary Propositions in LLMs without Subject Labels.

Itai Feigenbaum, Devansh Arpit, Huan Wang, Shelby Heinecke, Juan Carlos Niebles, Weiran Yao, Caiming Xiong, Silvio Savarese

CoRR, 2024

DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI.

Jianguo Zhang, Kun Qian, Zhiwei Liu, Shelby Heinecke, Rui Meng, Ye Liu, Zhou Yu, Huan Wang, Silvio Savarese, Caiming Xiong

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

2023

Deconfounded Causal Collaborative Filtering.

Shuyuan Xu, Juntao Tan, Shelby Heinecke, Vena Jia Li, Yongfeng Zhang

Trans. Recomm. Syst., December, 2023

DRDT: Dynamic Reflection with Divergent Thinking for LLM-based Sequential Recommendation.

Yu Wang, Zhiwei Liu, Jianguo Zhang, Weiran Yao, Shelby Heinecke, Philip S. Yu

CoRR, 2023

BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents.

Zhiwei Liu, Weiran Yao, Jianguo Zhang, Le Xue, Shelby Heinecke, Rithesh Murthy, Yihao Feng, Zeyuan Chen, Juan Carlos Niebles, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese

CoRR, 2023

Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization.

Weiran Yao, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Yihao Feng, Le Xue, Rithesh Murthy, Zeyuan Chen, Jianguo Zhang, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese

CoRR, 2023

REX: Rapid Exploration and eXploitation for AI Agents.

Rithesh Murthy, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Le Xue, Weiran Yao, Yihao Feng, Zeyuan Chen, Akash Gokul, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese

CoRR, 2023

Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training.

Juntao Tan, Shelby Heinecke, Zhiwei Liu, Yongjun Chen, Yongfeng Zhang, Huan Wang

CoRR, 2023

On the Unlikelihood of D-Separation.

Itai Feigenbaum, Huan Wang, Shelby Heinecke, Juan Carlos Niebles, Weiran Yao, Caiming Xiong, Devansh Arpit

CoRR, 2023

Salesforce CausalAI Library: A Fast and Scalable Framework for Causal Analysis of Time Series and Tabular Data.

Devansh Arpit, Matthew Fernandez, Chenghao Liu, Weiran Yao, Wenzhuo Yang, Paul Josel, Shelby Heinecke, Eric Hu, Huan Wang, Stephen C. H. Hoi, Caiming Xiong, Kun Zhang, Juan Carlos Niebles

CoRR, 2023

Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System.

Jianguo Zhang, Stephen Roller, Kun Qian, Zhiwei Liu, Rui Meng, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong

Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 2023

Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training.

Ziwei Fan, Zhiwei Liu, Shelby Heinecke, Jianguo Zhang, Huan Wang, Caiming Xiong, Philip S. Yu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Tackling Data Heterogeneity in Federated Learning with Class Prototypes.

Yutong Dai, Zeyuan Chen, Junnan Li, Shelby Heinecke, Lichao Sun, Ran Xu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

RGRecSys: A Toolkit for Robustness Evaluation of Recommender Systems.

Zohreh Ovaisi, Shelby Heinecke, Jia Li, Yongfeng Zhang, Elena Zheleva, Caiming Xiong

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Dynamic Causal Collaborative Filtering.

Shuyuan Xu, Juntao Tan, Zuohui Fu, Jianchao Ji, Shelby Heinecke, Yongfeng Zhang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Combining Data-driven Supervision with Human-in-the-loop Feedback for Entity Resolution.

Wenpeng Yin, Shelby Heinecke, Jia Li, Nitish Shirish Keskar, Michael Jones, Shouzhong Shi, Stanislav Georgiev, Kurt Milich, Joseph Esposito, Caiming Xiong

CoRR, 2021

Deconfounded Causal Collaborative Filtering.

Shuyuan Xu, Juntao Tan, Shelby Heinecke, Jia Li, Yongfeng Zhang

CoRR, 2021

Communication-Aware Collaborative Learning.

Avrim Blum, Shelby Heinecke, Lev Reyzin

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

Crowdsourced PAC Learning under Classification Noise.

Shelby Heinecke, Lev Reyzin

Proceedings of the Seventh AAAI Conference on Human Computation and Crowdsourcing, 2019

2018

On the Resilience of Bipartite Networks.

Shelby Heinecke, Will Perkins, Lev Reyzin

Proceedings of the 56th Annual Allerton Conference on Communication, 2018