Mind the Labels: Describing Relations in Knowledge Graphs With
Pretrained Models

Mind the Labels: Describing Relations in Knowledge Graphs With Pretrained Models

13 October 2022

Zdeněk Kasner

Ioannis Konstas

Papers citing "Mind the Labels: Describing Relations in Knowledge Graphs With Pretrained Models"

6 / 6 papers shown

Title
ASDOT: Any-Shot Data-to-Text Generation with Pretrained Language Models Jiannan Xiang Zhengzhong Liu Yucheng Zhou Eric P. Xing Zhiting Hu 37 16 0 09 Oct 2022
ReAct: Synergizing Reasoning and Acting in Language Models Shunyu Yao Jeffrey Zhao Dian Yu Nan Du Izhak Shafran Karthik Narasimhan Yuan Cao LLMAG ReLM LRM 233 2,477 0 06 Oct 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,448 0 28 Jan 2022
The Power of Prompt Tuning for Low-Resource Semantic Parsing Nathan Schucher Siva Reddy H. D. Vries VLM 101 36 0 16 Oct 2021
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics Sebastian Gehrmann Tosin P. Adewumi Karmanya Aggarwal Pawan Sasanka Ammanamanchi Aremu Anuoluwapo ... Nishant Subramani Wei-ping Xu Diyi Yang Akhila Yerukola Jiawei Zhou VLM 246 283 0 02 Feb 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,943 0 20 Apr 2018