activity
20222024
most citedRe-ReST: Reflection-Reinforced Self-Training for Language Agents

3 citations · 7 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CV2024

Verbalized Representation Learning for Interpretable Few-Shot Generalization

Cheng-Fu Yang, Da Yin, Wenbo Hu +4

Humans recognize objects after observing only a few examples, a remarkable capability enabled by their inherent language understanding of the real-world environment. Developing ver…

cs.RO2024★ 1 cited

LLM-A*: Large Language Model Enhanced Incremental Heuristic Search on Path Planning

Silin Meng, Yiwei Wang, Cheng-Fu Yang +2

Path planning is a fundamental scientific problem in robotics and autonomous navigation, requiring the derivation of efficient routes from starting to destination points while avoi…

cs.CL2024★ 3 cited

Re-ReST: Reflection-Reinforced Self-Training for Language Agents

Zi-Yi Dou, Cheng-Fu Yang, Xueqing Wu +2

Finetuning language agents with reasoning-action trajectories is effective, but obtaining these trajectories from human annotations or stronger models is costly and sometimes impra…

cs.CV2023★ 1 cited

Planning as In-Painting: A Diffusion-Based Embodied Task Planning Framework for Environments under Uncertainty

Cheng-Fu Yang, Haoyang Xu, Te-Lin Wu +3

Task planning for embodied AI has been one of the most challenging problems where the community does not meet a consensus in terms of formulation. In this paper, we aim to tackle t…

cs.CL2023★ 1 cited

LACMA: Language-Aligning Contrastive Learning with Meta-Actions for Embodied Instruction Following

Cheng-Fu Yang, Yen-Chun Chen, Jianwei Yang +4

End-to-end Transformers have demonstrated an impressive success rate for Embodied Instruction Following when the environment has been seen in training. However, they tend to strugg…

cs.CV2022

Target-Free Text-guided Image Manipulation

Wan-Cyuan Fan, Cheng-Fu Yang, Chiao-An Yang +1

We tackle the problem of target-free text-guided image manipulation, which requires one to modify the input reference image based on the given text instruction, while no ground tru…

cs.CV2022

Paraphrasing Is All You Need for Novel Object Captioning

Cheng-Fu Yang, Yao-Hung Hubert Tsai, Wan-Cyuan Fan +3

Novel object captioning (NOC) aims to describe images containing objects without observing their ground truth captions during training. Due to the absence of caption annotation, ca…

cs.CV2022★ 1 cited

Scene Graph Expansion for Semantics-Guided Image Outpainting

Chiao-An Yang, Cheng-Yo Tan, Wan-Cyuan Fan +3

In this paper, we address the task of semantics-guided image outpainting, which is to complete an image by generating semantically practical content. Different from most existing i…