Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand

Overview

Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand

billboard

Introduction

We propose a generalization of leaderboards, bidimensional leaderboards (Billboards), that simultaneously drives progress in language generation tasks and their evaluation. We accept two types of submissions:

  • Generator developers submit output text. A Billboard computes all metric scores.
  • Metric developers submit an executable program. A Billboard computes correlations with the human judgments, updates the ensemble metric, and measures how much it overrates machine over human generations.

Anonymous submissions are allowed!!

Submit

Submission guides and examples are available here.

Scoring Results

Scoring results for all past public submissions are available here. We have generator-name||metric-name.csv files from the Cartesian product between the generators and metrics: each contains instance-level scores.

Citations

Bidimesional Leaderboards

@misc{kasai2021billboard,
    title   = {Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand},
    author  = {Jungo Kasai and Keisuke Sakaguchi and Ronan Le Bras and Lavinia Dunagan and Jacob Morrison and Alexander R. Fabbri and Yejin Choi and Noah A. Smith},
    year    = {2021},
    url     = {https://arxiv.org/abs/2112.04139}, 
}

MSCOCO Captioning Evaluations and THumB 1.0 Protocol

@misc{kasai2021thumb,
    title   = {Transparent Human Evaluation for Image Captioning},
    author  = {Jungo Kasai and Keisuke Sakaguchi and Lavinia Dunagan and Jacob Morrison and Ronan Le Bras and Yejin Choi and Noah A. Smith},
    year    = {2021},
    url     = {https://arxiv.org/abs/2111.08940}, 
}

CNNDM Summarization Evaluations

@article{fabbri2021summeval,
    title   = {{SummEval}: Re-evaluating Summarization Evaluation},
    author  = {Fabbri, Alexander R and Kry{\'s}ci{\'n}ski, Wojciech and McCann, Bryan and Xiong, Caiming and Socher, Richard and Radev, Dragomir},
    journal = {TACL},
    year    = {2021},
    url     = {https://arxiv.org/abs/2007.12626},
}

WMT20 ZH-EN/EN-DE Machine Translation Evaluations

@misc{freitag2021experts,
      title={Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation}, 
      author={Markus Freitag and George Foster and David Grangier and Viresh Ratnakar and Qijun Tan and Wolfgang Macherey},
      year={2021},
      url={https://arxiv.org/abs/2104.14478},
}

AI2 Logo             UWNLP Logo             Salesforce Logo

CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped

CSWin-Transformer This repo is the official implementation of "CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows". Th

Microsoft 409 Jan 06, 2023
Predict halo masses from simulations via graph neural networks

HaloGraphNet Predict halo masses from simulations via Graph Neural Networks. Given a dark matter halo and its galaxies, creates a graph with informati

Pablo Villanueva Domingo 20 Nov 15, 2022
A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery

PiSL A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery. Sun, F., Liu, Y. and Sun, H., 2021. Physics-informe

Fangzheng (Andy) Sun 8 Jul 13, 2022
HistoSeg : Quick attention with multi-loss function for multi-structure segmentation in digital histology images

HistoSeg : Quick attention with multi-loss function for multi-structure segmentation in digital histology images Histological Image Segmentation This

Saad Wazir 11 Dec 16, 2022
Paddle implementation for "Highly Efficient Knowledge Graph Embedding Learning with Closed-Form Orthogonal Procrustes Analysis" (NAACL 2021)

ProcrustEs-KGE Paddle implementation for Highly Efficient Knowledge Graph Embedding Learning with Orthogonal Procrustes Analysis 🙈 A more detailed re

Lincedo Lab 4 Jun 09, 2021
Repository for the paper "Exploring the Sensory Spaces of English Perceptual Verbs in Natural Language Data"

Sensory Spaces of English Perceptual Verbs This repository contains the code and collocational data described in the paper "Exploring the Sensory Spac

David Peng 0 Sep 07, 2021
This is an official implementation for "Self-Supervised Learning with Swin Transformers".

Self-Supervised Learning with Vision Transformers By Zhenda Xie*, Yutong Lin*, Zhuliang Yao, Zheng Zhang, Qi Dai, Yue Cao and Han Hu This repo is the

Swin Transformer 529 Jan 02, 2023
FTIR-Deep Learning - FTIR Deep Learning With Python

CANDIY-spectrum Human analyis of chemical spectra such as Mass Spectra (MS), Inf

Wei Mei 1 Jan 03, 2022
[2021 MultiMedia] CONQUER: Contextual Query-aware Ranking for Video Corpus Moment Retrieval

CONQUER: Contexutal Query-aware Ranking for Video Corpus Moment Retreival PyTorch implementation of CONQUER: Contexutal Query-aware Ranking for Video

Hou zhijian 23 Dec 26, 2022
Neural Cellular Automata + CLIP

🧠 Text-2-Cellular Automata Using Neural Cellular Automata + OpenAI CLIP (Work in progress) Examples Text Prompt: Cthulu is watching cthulu_is_watchin

Mainak Deb 21 Dec 19, 2022
🎓Automatically Update CV Papers Daily using Github Actions (Update at 12:00 UTC Every Day)

🎓Automatically Update CV Papers Daily using Github Actions (Update at 12:00 UTC Every Day)

Realcat 270 Jan 07, 2023
Deep Learning Based EDM Subgenre Classification using Mel-Spectrogram and Tempogram Features"

EDM-subgenre-classifier This repository contains the code for "Deep Learning Based EDM Subgenre Classification using Mel-Spectrogram and Tempogram Fea

11 Dec 20, 2022
Repositório criado para abrigar os notebooks com a listas de exercícios propostos pelo professor Gustavo Guanabara do canal Curso em Vídeo do YouTube durante o Curso de Python 3

Curso em Vídeo - Exercícios de Python 3 Sobre o repositório Este repositório contém os notebooks com a listas de exercícios propostos pelo professor G

João Pedro Pereira 9 Oct 15, 2022
A Simplied Framework of GAN Inversion

Framework of GAN Inversion Introcuction You can implement your own inversion idea using our repo. We offer a full range of tuning settings (in hparams

Kangneng Zhou 13 Sep 27, 2022
In this project, we develop a face recognize platform based on MTCNN object-detection netcwork and FaceNet self-supervised network.

模式识别大作业——人脸检测与识别平台 本项目是一个简易的人脸检测识别平台,提供了人脸信息录入和人脸识别的功能。前端采用 html+css+js,后端采用 pytorch,

Xuhua Huang 5 Aug 02, 2022
Implementation of average- and worst-case robust flatness measures for adversarial training.

Relating Adversarially Robust Generalization to Flat Minima This repository contains code corresponding to the MLSys'21 paper: D. Stutz, M. Hein, B. S

David Stutz 13 Nov 27, 2022
SFD implement with pytorch

S³FD: Single Shot Scale-invariant Face Detector A PyTorch Implementation of Single Shot Scale-invariant Face Detector Description Meanwhile train hand

Jun Li 251 Dec 22, 2022
Fully-automated scripts for collecting AI-related papers

AI-Paper-collector Fully-automated scripts for collecting AI-related papers List of Conferences to crawel ACL: 21-19 (including findings) EMNLP: 21-19

Gordon Lee 776 Jan 08, 2023
Performance Analysis of Multi-user NOMA Wireless-Powered mMTC Networks: A Stochastic Geometry Approach

Performance Analysis of Multi-user NOMA Wireless-Powered mMTC Networks: A Stochastic Geometry Approach Thanh Luan Nguyen, Tri Nhu Do, Georges Kaddoum

Thanh Luan Nguyen 2 Oct 10, 2022
Training vision models with full-batch gradient descent and regularization

Stochastic Training is Not Necessary for Generalization -- Training competitive vision models without stochasticity This repository implements trainin

Jonas Geiping 32 Jan 06, 2023