b'Pengfei Liu'

research

∙ 06/01/2023

Multi-Dimensional Evaluation of Text Summarization with In-Context Learning

Evaluation of natural language generation (NLG) is complex and multi-dim...

0 Sameer Jain, et al. ∙

research

∙ 05/26/2023

DataFinder: Scientific Dataset Recommendation from Natural Language Descriptions

Modern machine learning relies on datasets to develop and validate resea...

10 Vijay Viswanathan, et al. ∙

research

∙ 05/24/2023

GlobalBench: A Benchmark for Global Progress in Natural Language Processing

Despite the major advances in NLP, significant disparities in NLP system...

0 Yueqi Song, et al. ∙

research

∙ 05/23/2023

On Learning to Summarize with Large Language Models as References

Recent studies have found that summaries generated by large language mod...

0 Yixin Liu, et al. ∙

research

∙ 05/18/2023

LIMA: Less Is More for Alignment

Large language models are trained in two stages: (1) unsupervised pretra...

0 Chunting Zhou, et al. ∙

research

∙ 03/24/2023

MusicFace: Music-driven Expressive Singing Face Synthesis

It is still an interesting and challenging problem to synthesize a vivid...

0 Pengfei Liu, et al. ∙

research

∙ 03/07/2023

Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation

Interpretability and efficiency are two important considerations for the...

13 Yixin Liu, et al. ∙

research

∙ 02/08/2023

GPTScore: Evaluate as You Desire

Generative Artificial Intelligence (AI) has enabled the development of s...

0 Jinlan Fu, et al. ∙

research

∙ 12/15/2022

Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation

Human evaluation is the foundation upon which the evaluation of both sum...

12 Yixin Liu, et al. ∙

research

∙ 12/12/2022

Searching for Effective Multilingual Fine-Tuning Methods: A Case Study in Summarization

Recently, a large number of tuning strategies have been proposed to adap...

0 Yiwei Qin, et al. ∙

research

∙ 12/12/2022

T5Score: Discriminative Fine-tuning of Generative Evaluation Metrics

Modern embedding-based metrics for evaluation of generated text generall...

0 Yiwei Qin, et al. ∙

research

∙ 11/18/2022

PAL: Program-aided Language Models

Large language models (LLMs) have recently demonstrated an impressive ab...

0 Luyu Gao, et al. ∙

research

∙ 08/29/2022

Artificial Neural Networks for Finger Vein Recognition: A Survey

Finger vein recognition is an emerging biometric recognition technology....

5 Yimin Yin, et al. ∙

research

∙ 08/23/2022

KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models

Knowledge Graphs (KGs) store information in the form of (head, predicate...

0 Haris Widjaja, et al. ∙

research

∙ 06/22/2022

reStructured Pre-training

In this work, we try to decipher the internal connection of NLP technolo...

0 Weizhe Yuan, et al. ∙

research

∙ 06/22/2022

I^2R-Net: Intra- and Inter-Human Relation Network for Multi-Person Pose Estimation

In this paper, we present the Intra- and Inter-Human Relation Networks (...

8 Yiwei Ding, et al. ∙

research

∙ 05/04/2022

Are All the Datasets in Benchmark Necessary? A Pilot Study of Dataset Evaluation for Text Classification

In this paper, we ask the research question of whether all the datasets ...

14 Yang Xiao, et al. ∙

research

∙ 04/29/2022

Polyglot Prompt: Multilingual Multitask PrompTraining

This paper aims for a potential architectural breakthrough for multiling...

0 Jinlan Fu, et al. ∙

research

∙ 03/31/2022

BRIO: Bringing Order to Abstractive Summarization

Abstractive summarization models are commonly trained using maximum like...

4 Yixin Liu, et al. ∙

research

∙ 02/25/2022

DataLab: A Platform for Data Analysis and Intervention

Despite data's crucial role in machine learning, most existing tools and...

16 Yang Xiao, et al. ∙

research

∙ 01/27/2022

The MSXF TTS System for ICASSP 2022 ADD Challenge

This paper presents our MSXF TTS system for Task 3.1 of the Audio Deep S...

0 Chunyong Yang, et al. ∙

research

∙ 01/17/2022

Group Gated Fusion on Attention-based Bidirectional Alignment for Multimodal Emotion Recognition

Emotion recognition is a challenging and actively-studied research area ...

0 Pengfei Liu, et al. ∙

research

∙ 07/28/2021

Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing

This paper surveys and organizes research works in a new paradigm in nat...

0 Pengfei Liu, et al. ∙

research

∙ 07/23/2021

ArchaeoDAL: A Data Lake for Archaeological Data Management and Analytics

With new emerging technologies, such as satellites and drones, archaeolo...

0 Pengfei Liu, et al. ∙

research

∙ 07/05/2021

goldMEDAL : une nouvelle contribution à la modélisation générique des métadonnées des lacs de données

We summarize here a paper published in 2021 in the DOLAP international w...

0 Etienne Scholly, et al. ∙

research

∙ 06/22/2021

BARTScore: Evaluating Generated Text as Text Generation

A wide variety of NLP applications, such as machine translation, summari...

0 Weizhe Yuan, et al. ∙

research

∙ 06/21/2021

How well do you know your summarization datasets?

State-of-the-art summarization systems are trained and evaluated on mass...

0 Priyam Tejaswin, et al. ∙

research

∙ 06/03/2021

SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization

In this paper, we present a conceptually simple while empirically powerf...

0 Yixin Liu, et al. ∙

research

∙ 06/03/2021

CitationIE: Leveraging the Citation Graph for Scientific Information Extraction

Automatically extracting key information from scientific documents has t...

0 Vijay Viswanathan, et al. ∙

research

∙ 06/01/2021

SpanNER: Named Entity Re-/Recognition as Span Prediction

Recent years have seen the paradigm shift of Named Entity Recognition (N...

0 Jinlan Fu, et al. ∙

research

∙ 04/30/2021

Hierarchical Modeling for Out-of-Scope Domain and Intent Classification

User queries for a real-world dialog system may sometimes fall outside t...

0 Pengfei Liu, et al. ∙

research

∙ 04/25/2021

Open Intent Discovery through Unsupervised Semantic Clustering and Dependency Parsing

Intent understanding plays an important role in dialog systems, and is t...

0 Pengfei Liu, et al. ∙

research

∙ 04/15/2021

XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation

Machine learning has brought striking advances in multilingual natural l...

0 Sebastian Ruder, et al. ∙

research

∙ 04/15/2021

RefSum: Refactoring Neural Summarization

Although some recent works show potential complementarity among differen...

0 Yixin Liu, et al. ∙

research

∙ 04/13/2021

EXPLAINABOARD: An Explainable Leaderboard for NLP

With the rapid development of NLP research, leaderboards have emerged as...

0 Pengfei Liu, et al. ∙

research

∙ 04/11/2021

Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa

Aspect-based Sentiment Analysis (ABSA), aiming at predicting the polarit...

0 Junqi Dai, et al. ∙

research

∙ 04/09/2021

Larger-Context Tagging: When and Why Does It Work?

The development of neural networks and pretraining techniques has spawne...

0 Jinlan Fu, et al. ∙

research

∙ 03/24/2021

Coining goldMEDAL: A New Contribution to Data Lake Generic Metadata Modeling

The rise of big data has revolutionized data exploitation practices and ...

0 Etienne Scholly, et al. ∙

research

∙ 02/10/2021

Towards More Fine-grained and Reliable NLP Performance Prediction

Performance prediction, the task of estimating a system's performance wi...

0 Zihuiwen Ye, et al. ∙

research

∙ 01/30/2021

Can We Automate Scientific Reviewing?

The rapid development of science and technology has been accompanied by ...

0 Weizhe Yuan, et al. ∙

research

∙ 11/13/2020

RethinkCWS: Is Chinese Word Segmentation a Solved Task?

The performance of the Chinese Word Segmentation (CWS) systems has gradu...

0 Jinlan Fu, et al. ∙

research

∙ 11/13/2020

Interpretable Multi-dataset Evaluation for Named Entity Recognition

With the proliferation of models for natural language processing tasks, ...

0 Jinlan Fu, et al. ∙

research

∙ 11/08/2020

Metrics also Disagree in the Low Scoring Range: Revisiting Summarization Evaluation Metrics

In text summarization, evaluating the efficacy of automatic metrics with...

0 Manik Bhandari, et al. ∙

research

∙ 10/15/2020

GSum: A General Framework for Guided Neural Abstractive Summarization

Neural abstractive summarization models are flexible and can produce coh...

0 Zi-Yi Dou, et al. ∙

research

∙ 10/14/2020

Re-evaluating Evaluation in Text Summarization

Automated evaluation metrics as a stand-in for manual evaluation are an ...

0 Manik Bhandari, et al. ∙

research

∙ 10/11/2020

CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems

Neural network-based models augmented with unsupervised pre-trained know...

0 Yiran Chen, et al. ∙

research

∙ 04/26/2020

Heterogeneous Graph Neural Networks for Extractive Document Summarization

As a crucial step in extractive document summarization, learning cross-s...

0 Danqing Wang, et al. ∙

research

∙ 04/20/2020

Robust Covariance Estimation for High-dimensional Compositional Data with Application to Microbial Communities Analysis

Microbial communities analysis is drawing growing attention due to the r...

0 Yong He, et al. ∙

research

∙ 04/19/2020

Extractive Summarization as Text Matching

This paper creates a paradigm shift with regard to the way we build neur...

0 Ming Zhong, et al. ∙

research

∙ 01/12/2020

Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study

While neural network-based models have achieved impressive performance o...

0 Jinlan Fu, et al. ∙

Pengfei Liu

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