Követés
Shelby Heinecke
Shelby Heinecke
Salesforce Research
E-mail megerősítve itt: salesforce.com - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
832023
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
822023
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
642023
xgen-mm (blip-3): A family of open large multimodal models
L Xue, M Shu, A Awadalla, J Wang, A Yan, S Purushwalkam, H Zhou, ...
arXiv preprint arXiv:2408.08872, 2024
602024
Deconfounded causal collaborative filtering
S Xu, J Tan, S Heinecke, VJ Li, Y Zhang
ACM Transactions on Recommender Systems 1 (4), 1-25, 2023
522023
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
332023
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
322024
Apigen: Automated pipeline for generating verifiable and diverse function-calling datasets
Z Liu, T Hoang, J Zhang, M Zhu, T Lan, J Tan, W Yao, Z Liu, Y Feng, R RN, ...
Advances in Neural Information Processing Systems 37, 54463-54482, 2024
312024
Agentohana: Design unified data and training pipeline for effective agent learning
J Zhang, T Lan, R Murthy, Z Liu, W Yao, M Zhu, J Tan, T Hoang, Z Liu, ...
arXiv preprint arXiv:2402.15506, 2024
302024
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
252022
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
202022
xlam: A family of large action models to empower ai agent systems
J Zhang, T Lan, M Zhu, Z Liu, T Hoang, S Kokane, W Yao, J Tan, ...
arXiv preprint arXiv:2409.03215, 2024
182024
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
182023
Crowdsourced PAC learning under classification noise
S Heinecke, L Reyzin
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 7 …, 2019
152019
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
122023
Ran Xu. xgen-mm (blip-3): A family of open large multimodal models
MS Le Xue, A Awadalla, J Wang, A Yan, S Purushwalkam, H Zhou, ...
arXiv preprint arXiv:2408.08872 1, 2024
102024
Diversity empowers intelligence: Integrating expertise of software engineering agents
K Zhang, W Yao, Z Liu, Y Feng, Z Liu, RN Rithesh, T Lan, L Li, R Lou, J Xu, ...
The Thirteenth International Conference on Learning Representations, 2024
82024
Mobileaibench: Benchmarking llms and lmms for on-device use cases
R Murthy, L Yang, J Tan, TM Awalgaonkar, Y Zhou, S Heinecke, S Desai, ...
arXiv preprint arXiv:2406.10290, 2024
82024
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
82023
Communication-aware collaborative learning
A Blum, S Heinecke, L Reyzin
Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 6786-6793, 2021
62021
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