200 citations · 622 across the 33 of their papers we have counts for
7 papers · 1 filter
OpenFE: Automated Feature Generation with Expert-level Performance
Tianping Zhang, Zheyu Zhang, Zhiyuan Fan +5
The goal of automated feature generation is to liberate machine learning experts from the laborious task of manual feature generation, which is crucial for improving the learning p…
Reflection of Thought: Inversely Eliciting Numerical Reasoning in Language Models via Solving Linear Systems
Fan Zhou, Haoyu Dong, Qian Liu +3
Numerical reasoning over natural language has been a long-standing goal for the research community. However, cutting-edge language models have proven difficult to reliably generali…
Learning on Large-scale Text-attributed Graphs via Variational Inference
Jianan Zhao, Meng Qu, Chaozhuo Li +5
This paper studies learning on text-attributed graphs (TAGs), where each node is associated with a text description. An ideal solution for such a problem would be integrating both…
On Grounded Planning for Embodied Tasks with Language Models
Bill Yuchen Lin, Chengsong Huang, Qian Liu +3
Language models (LMs) have demonstrated their capability in possessing commonsense knowledge of the physical world, a crucial aspect of performing tasks in everyday life. However,…
Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models
Shengnan An, Yifei Li, Zeqi Lin +6
Recently the prompt-tuning paradigm has attracted significant attention. By only tuning continuous prompts with a frozen pre-trained language model (PLM), prompt-tuning takes a ste…
Reasoning Like Program Executors
Xinyu Pi, Qian Liu, Bei Chen +6
Reasoning over natural language is a long-standing goal for the research community. However, studies have shown that existing language models are inadequate in reasoning. To addres…
LEMON: Language-Based Environment Manipulation via Execution-Guided Pre-training
Qi Shi, Qian Liu, Bei Chen +3
Language-based environment manipulation requires agents to manipulate the environment following natural language instructions, which is challenging due to the huge space of the env…