no code implementations • 18 Apr 2024 • Yilun Hao, Yongchao Chen, Yang Zhang, Chuchu Fan
We evaluate our framework with TravelPlanner and achieve a success rate of 97%.
1 code implementation • 13 Feb 2024 • Yongchao Chen, Jacob Arkin, Yilun Hao, Yang Zhang, Nicholas Roy, Chuchu Fan
Prompt optimization aims to find the best prompt to a large language model (LLM) for a given task.
no code implementations • 17 Nov 2023 • Yongchao Chen
Human fingerprints serve as one unique and powerful characteristic for each person, from which policemen can recognize the identity.
3 code implementations • 10 Jun 2023 • Yongchao Chen, Jacob Arkin, Charles Dawson, Yang Zhang, Nicholas Roy, Chuchu Fan
Rather than using LLMs to directly plan task sub-goals, we instead perform few-shot translation from natural language task descriptions to an intermediate task representation that can then be consumed by a TAMP algorithm to jointly solve the task and motion plan.
3 code implementations • 12 May 2023 • Yongchao Chen, Rujul Gandhi, Yang Zhang, Chuchu Fan
Then, we finetune T5 models on the lifted versions (i. e., the specific Atomic Propositions (AP) are hidden) of the NL and TL.
no code implementations • 14 Jan 2023 • Sirui Hu, Ling Feng, Xiaohan Yang, Yongchao Chen
We propose Supervised Contrastive Federated Learning in which devices can share the learned class-wise feature spaces with each other and add the supervised-contrastive learning loss as a regularization term to foster the feature space learning.