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20212025
most citedTPTU: Large Language Model-based AI Agents for Task Planning and Tool Usage

13 citations · 34 across the 10 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.AI2023★ 7 cited

TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems

Yilun Kong, Jingqing Ruan, Yihong Chen +9

Large Language Models (LLMs) have demonstrated proficiency in addressing tasks that necessitate a combination of task planning and the usage of external tools that require a blend…

cs.AI2023★ 13 cited

TPTU: Large Language Model-based AI Agents for Task Planning and Tool Usage

Jingqing Ruan, Yihong Chen, Bin Zhang +8

With recent advancements in natural language processing, Large Language Models (LLMs) have emerged as powerful tools for various real-world applications. Despite their prowess, the…

cs.CV2023★ 1 cited

Balancing Logit Variation for Long-tailed Semantic Segmentation

Yuchao Wang, Jingjing Fei, Haochen Wang +5

Semantic segmentation usually suffers from a long-tail data distribution. Due to the imbalanced number of samples across categories, the features of those tail classes may get sque…

cs.CV2023★ 4 cited

ZeroPose: CAD-Prompted Zero-shot Object 6D Pose Estimation in Cluttered Scenes

Jianqiu Chen, Zikun Zhou, Mingshan Sun +4

Many robotics and industry applications have a high demand for the capability to estimate the 6D pose of novel objects from the cluttered scene. However, existing classic pose esti…

cs.CV2023

SeqCo-DETR: Sequence Consistency Training for Self-Supervised Object Detection with Transformers

Guoqiang Jin, Fan Yang, Mingshan Sun +7

Self-supervised pre-training and transformer-based networks have significantly improved the performance of object detection. However, most of the current self-supervised object det…