| 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, 2025 | 29 | 2025 |
| 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 | 29 | 2024 |
| 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 | 17 | 2024 |
| 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 | 8 | 2024 |
| Utilizing predictive analysis to aid emergency medical services PK Sahoo, N Malhotra, SS Kokane, B Srivastava, HN Tiwari, S Sawant International Workshop on Health Intelligence, 235-245, 2021 | 2 | 2021 |
| PRACT: Optimizing Principled Reasoning and Acting of LLM Agent Z Liu, W Yao, J Zhang, R Murthy, L Yang, Z Liu, T Lan, M Zhu, J Tan, ... arXiv preprint arXiv:2410.18528, 2024 | 1 | 2024 |
| Improving knowledge distillation in transfer learning with layer-wise learning rates S Kokane, MR Uddin, M Xu arXiv preprint arXiv:2407.04871, 2024 | 1 | 2024 |
| SpecTool: A Benchmark for Characterizing Errors in Tool-Use LLMs S Kokane, M Zhu, T Awalgaonkar, J Zhang, T Hoang, A Prabhakar, Z Liu, ... arXiv preprint arXiv:2411.13547, 2024 | | 2024 |
| MobileAIBench: Benchmarking LLMs and LMMs for On-Device Use Cases RN Rithesh, L Yang, J Tan, TM Awalgaonkar, Y Zhou, S Heinecke, ... | | |
| LAM Simulator: Advancing Large Action Model Training for Agent via Online Exploration and Feedback Simulation TQ Hoang, S Kokane, J Zhang, T Lan, Z Liu, M Zhu, J Grigsby, MS Ryoo, ... | | |