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The advanced function-calling capabilities of foundation models open up new possibilities for deploying agents to perform complex API tasks.
D. Stamoulis, R. Ding, D. Wang, D. Lymberopoulos, B. Priyantha, J. Liu, and D. Marculescu, “Single-path nas: Designing hardware-efficient convnets in less than 4 hours,” in
2019
Earlier work this paper cites.
K. Song, X. Tan, T. Qin, J. Lu, and T.-Y. Liu, “Mpnet: Masked and permuted pre-training for language understanding,”
2020
Earlier work this paper cites.
L. S. Karumbunathan, “Nvidia jetson agx orin series,” 2022
2022
Earlier work this paper cites.
2023
Earlier work this paper cites.
S. Yao, J. Zhao, D. Yu, N. Du, I. Shafran, K. Narasimhan, and Y. Cao, “ReAct: Synergizing reasoning and acting in language models,” in
2023
Earlier work this paper cites.
X. Ma, G. Fang, and X. Wang, “Llm-pruner: On the structural pruning of large language models,”
2023
Earlier work this paper cites.
W. Kwon, Z. Li, S. Zhuang, Y. Sheng, L. Zheng, C. H. Yu, J. Gonzalez, H. Zhang, and I. Stoica, “Efficient memory management for large language model serving with pagedattention,” in
2023
Earlier work this paper cites.
H. Jiang, Q. Wu, C.-Y. Lin, Y. Yang, and L. Qiu, “Llmlingua: Compressing prompts for accelerated inference of large language models,” in
2023
Earlier work this paper cites.
2023
Earlier work this paper cites.
2023
Earlier work this paper cites.
2023
Earlier work this paper cites.
Y. Zhuang, Y. Yu, K. Wang, H. Sun, and C. Zhang, “Toolqa: A dataset for llm question answering with external tools,”
2023
Earlier work this paper cites.
2023
Earlier work this paper cites.
A. Karatzas and I. Anagnostopoulos, “Pythia: An edge first agent for state prediction in high-dimensional environments,”
2024
Earlier work this paper cites.
Z. Yuan, Y. Shang, Y. Zhou, Z. Dong, C. Xue, B. Wu, Z. Li, Q. Gu, Y. J. Lee, Y. Yan
2024
Cited alongside, same era.
2024
Cited alongside, same era.
HuggingFace, “Function calling,”
2024
Cited alongside, same era.
Ollama, “Tool support,”
2024
Cited alongside, same era.
2024
Cited alongside, same era.
F. Yan, H. Mao, C. C.-J. Ji, T. Zhang, S. G. Patil, I. Stoica, and J. E. Gonzalez, “Berkeley function calling leaderboard,”
J. Y. Koh, R. Lo, L. Jang, V. Duvvur, M. C. Lim, P.-Y. Huang, G. Neubig, S. Zhou, R. Salakhutdinov, and D. Fried, “Visualwebarena: Evaluating multimodal agents on realistic visual web tasks,”
2024
Closest in time.
2024
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C. Hu, H. Huang, J. Hu, J. Xu, X. Chen, T. Xie, C. Wang, S. Wang, Y. Bao, N. Sun
2024
Closest in time.
Y. Qin, S. Liang, Y. Ye, K. Zhu, L. Yan, Y. Lu, Y. Lin, X. Cong, X. Tang, B. Qian, S. Zhao, L. Hong, R. Tian, R. Xie, J. Zhou, M. Gerstein, dahai li, Z. Liu, and M. Sun, “ToolLLM: Facilitating large language models to master 16000+ real-world APIs,” in
2024
Closest in time.
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S. Singh, M. Fore, and D. Stamoulis, “Geollm-engine: A realistic environment for building geospatial copilots,” in
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Cited alongside, same era.
T. Dettmers, A. Pagnoni, A. Holtzman, and L. Zettlemoyer, “Qlora: Efficient finetuning of quantized llms,”
2024
Cited alongside, same era.
Y. Gu, L. Dong, F. Wei, and M. Huang, “MiniLLM: Knowledge distillation of large language models,” in
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Cited alongside, same era.
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X. Miao, G. Oliaro, Z. Zhang, X. Cheng, Z. Wang, Z. Zhang, R. Y. Y. Wong, A. Zhu, L. Yang, X. Shi
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A. Karatzas and I. Anagnostopoulos, “Balancing throughput and fair execution of multi-dnn workloads on heterogeneous embedded devices,”
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M. Fore, S. Singh, and D. Stamoulis, “Geckopt: Llm system efficiency via intent-based tool selection,” in
2024
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A. Karatzas and I. Anagnostopoulos, “Mapformer: Attention-based multi-dnn manager for throughout & power co-optimization on embedded devices,” in
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