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08/14/2023
GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and Text
Large language models have made significant strides in natural language ...
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07/25/2023
FacTool: Factuality Detection in Generative AI – A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios
The emergence of generative pre-trained models has facilitated the synth...
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07/10/2023
Improving Factuality of Abstractive Summarization via Contrastive Reward Learning
Modern abstractive summarization models often generate summaries that co...
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06/01/2023
Multi-Dimensional Evaluation of Text Summarization with In-Context Learning
Evaluation of natural language generation (NLG) is complex and multi-dim...
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05/26/2023
DataFinder: Scientific Dataset Recommendation from Natural Language Descriptions
Modern machine learning relies on datasets to develop and validate resea...
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05/24/2023
GlobalBench: A Benchmark for Global Progress in Natural Language Processing
Despite the major advances in NLP, significant disparities in NLP system...
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05/23/2023
On Learning to Summarize with Large Language Models as References
Recent studies have found that summaries generated by large language mod...
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05/18/2023
LIMA: Less Is More for Alignment
Large language models are trained in two stages: (1) unsupervised pretra...
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03/24/2023
MusicFace: Music-driven Expressive Singing Face Synthesis
It is still an interesting and challenging problem to synthesize a vivid...
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03/07/2023
Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation
Interpretability and efficiency are two important considerations for the...
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02/08/2023
GPTScore: Evaluate as You Desire
Generative Artificial Intelligence (AI) has enabled the development of s...
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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...
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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...
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12/12/2022
T5Score: Discriminative Fine-tuning of Generative Evaluation Metrics
Modern embedding-based metrics for evaluation of generated text generall...
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11/18/2022
PAL: Program-aided Language Models
Large language models (LLMs) have recently demonstrated an impressive ab...
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08/29/2022
Artificial Neural Networks for Finger Vein Recognition: A Survey
Finger vein recognition is an emerging biometric recognition technology....
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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...
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06/22/2022
reStructured Pre-training
In this work, we try to decipher the internal connection of NLP technolo...
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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 (...
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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 ...
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04/29/2022
Polyglot Prompt: Multilingual Multitask PrompTraining
This paper aims for a potential architectural breakthrough for multiling...
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03/31/2022
BRIO: Bringing Order to Abstractive Summarization
Abstractive summarization models are commonly trained using maximum like...
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02/25/2022
DataLab: A Platform for Data Analysis and Intervention
Despite data's crucial role in machine learning, most existing tools and...
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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...
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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 ...
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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...
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07/23/2021
ArchaeoDAL: A Data Lake for Archaeological Data Management and Analytics
With new emerging technologies, such as satellites and drones, archaeolo...
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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...
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06/22/2021
BARTScore: Evaluating Generated Text as Text Generation
A wide variety of NLP applications, such as machine translation, summari...
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06/21/2021
How well do you know your summarization datasets?
State-of-the-art summarization systems are trained and evaluated on mass...
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06/03/2021
SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization
In this paper, we present a conceptually simple while empirically powerf...
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06/03/2021
CitationIE: Leveraging the Citation Graph for Scientific Information Extraction
Automatically extracting key information from scientific documents has t...
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06/01/2021
SpanNER: Named Entity Re-/Recognition as Span Prediction
Recent years have seen the paradigm shift of Named Entity Recognition (N...
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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...
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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...
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04/15/2021
XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation
Machine learning has brought striking advances in multilingual natural l...
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04/15/2021
RefSum: Refactoring Neural Summarization
Although some recent works show potential complementarity among differen...
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04/13/2021
EXPLAINABOARD: An Explainable Leaderboard for NLP
With the rapid development of NLP research, leaderboards have emerged as...
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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...
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04/09/2021
Larger-Context Tagging: When and Why Does It Work?
The development of neural networks and pretraining techniques has spawne...
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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 ...
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02/10/2021
Towards More Fine-grained and Reliable NLP Performance Prediction
Performance prediction, the task of estimating a system's performance wi...
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01/30/2021
Can We Automate Scientific Reviewing?
The rapid development of science and technology has been accompanied by ...
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11/13/2020
RethinkCWS: Is Chinese Word Segmentation a Solved Task?
The performance of the Chinese Word Segmentation (CWS) systems has gradu...
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11/13/2020
Interpretable Multi-dataset Evaluation for Named Entity Recognition
With the proliferation of models for natural language processing tasks, ...
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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...
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10/15/2020
GSum: A General Framework for Guided Neural Abstractive Summarization
Neural abstractive summarization models are flexible and can produce coh...
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10/14/2020
Re-evaluating Evaluation in Text Summarization
Automated evaluation metrics as a stand-in for manual evaluation are an ...
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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...
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04/26/2020