Bolaa: Benchmarking and orchestrating llm-augmented autonomous agents Z Liu, W Yao, J Zhang, L Xue, S Heinecke, R Murthy, Y Feng, Z Chen, ... arXiv preprint arXiv:2308.05960, 2023 | 47 | 2023 |
Deconfounded causal collaborative filtering S Xu, J Tan, S Heinecke, VJ Li, Y Zhang ACM Transactions on Recommender Systems 1 (4), 1-25, 2023 | 44 | 2023 |
Retroformer: Retrospective large language agents with policy gradient optimization W Yao, S Heinecke, JC Niebles, Z Liu, Y Feng, L Xue, R Murthy, Z Chen, ... arXiv preprint arXiv:2308.02151, 2023 | 36 | 2023 |
Tackling data heterogeneity in federated learning with class prototypes Y Dai, Z Chen, J Li, S Heinecke, L Sun, R Xu Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 7314-7322, 2023 | 35 | 2023 |
Dynamic causal collaborative filtering S Xu, J Tan, Z Fu, J Ji, S Heinecke, Y Zhang Proceedings of the 31st ACM International Conference on Information …, 2022 | 22 | 2022 |
Drdt: Dynamic reflection with divergent thinking for llm-based sequential recommendation Y Wang, Z Liu, J Zhang, W Yao, S Heinecke, PS Yu arXiv preprint arXiv:2312.11336, 2023 | 16 | 2023 |
Rgrecsys: A toolkit for robustness evaluation of recommender systems Z Ovaisi, S Heinecke, J Li, Y Zhang, E Zheleva, C Xiong Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 16 | 2022 |
Crowdsourced PAC learning under classification noise S Heinecke, L Reyzin Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 7 …, 2019 | 15 | 2019 |
Zero-shot item-based recommendation via multi-task product knowledge graph pre-training Z Fan, Z Liu, S Heinecke, J Zhang, H Wang, C Xiong, PS Yu Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 11 | 2023 |
Dialogstudio: Towards richest and most diverse unified dataset collection for conversational ai J Zhang, K Qian, Z Liu, S Heinecke, R Meng, Y Liu, Z Yu, H Wang, ... arXiv preprint arXiv:2307.10172, 2023 | 6 | 2023 |
Rex: Rapid exploration and exploitation for ai agents R Murthy, S Heinecke, JC Niebles, Z Liu, L Xue, W Yao, Y Feng, Z Chen, ... arXiv preprint arXiv:2307.08962, 2023 | 5 | 2023 |
Communication-aware collaborative learning A Blum, S Heinecke, L Reyzin Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 6786-6793, 2021 | 5 | 2021 |
AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System Z Liu, W Yao, J Zhang, L Yang, Z Liu, J Tan, PK Choubey, T Lan, J Wu, ... arXiv preprint arXiv:2402.15538, 2024 | 4 | 2024 |
Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training J Tan, S Heinecke, Z Liu, Y Chen, Y Zhang, H Wang Proceedings of the 2024 SIAM International Conference on Data Mining (SDM …, 2024 | 3 | 2024 |
Enhancing performance on seen and unseen dialogue scenarios using retrieval-augmented end-to-end task-oriented system J Zhang, S Roller, K Qian, Z Liu, R Meng, S Heinecke, H Wang, ... arXiv preprint arXiv:2308.08169, 2023 | 3 | 2023 |
Combining data-driven supervision with human-in-the-loop feedback for entity resolution W Yin, S Heinecke, J Li, NS Keskar, M Jones, S Shi, S Georgiev, K Milich, ... arXiv preprint arXiv:2111.10497, 2021 | 3 | 2021 |
On the resilience of bipartite networks S Heinecke, W Perkins, L Reyzin 2018 56th Annual Allerton Conference on Communication, Control, and …, 2018 | 3 | 2018 |
AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning J Zhang, T Lan, R Murthy, Z Liu, W Yao, J Tan, T Hoang, L Yang, Y Feng, ... arXiv preprint arXiv:2402.15506, 2024 | 2 | 2024 |
Editing Arbitrary Propositions in LLMs without Subject Labels I Feigenbaum, D Arpit, H Wang, S Heinecke, JC Niebles, W Yao, C Xiong, ... arXiv preprint arXiv:2401.07526, 2024 | 1 | 2024 |
Salesforce CausalAI Library: A Fast and Scalable Framework for Causal Analysis of Time Series and Tabular Data D Arpit, M Fernandez, I Feigenbaum, W Yao, C Liu, W Yang, P Josel, ... arXiv preprint arXiv:2301.10859, 2023 | 1 | 2023 |