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05/24/2023
ALGO: Synthesizing Algorithmic Programs with Generated Oracle Verifiers
Large language models (LLMs) excel at implementing code from functionali...
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05/23/2023
INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback
The field of automatic evaluation of text generation made tremendous pro...
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01/28/2023
On Pre-trained Language Models for Antibody
Antibodies are vital proteins offering robust protection for the human b...
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11/28/2022
Accelerating Antimicrobial Peptide Discovery with Latent Sequence-Structure Model
Antimicrobial peptide (AMP) is a promising therapy in the treatment of b...
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10/21/2021
CNewSum: A Large-scale Chinese News Summarization Dataset with Human-annotated Adequacy and Deducibility Level
Automatic text summarization aims to produce a brief but crucial summary...
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08/13/2021
MTG: A Benchmarking Suite for Multilingual Text Generation
We introduce MTG, a new benchmark suite for training and evaluating mult...
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04/07/2021
Enhancing Scientific Papers Summarization with Citation Graph
Previous work for text summarization in scientific domain mainly focused...
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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
Heterogeneous Graph Neural Networks for Extractive Document Summarization
As a crucial step in extractive document summarization, learning cross-s...
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04/19/2020
Extractive Summarization as Text Matching
This paper creates a paradigm shift with regard to the way we build neur...
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09/30/2019
A Closer Look at Data Bias in Neural Extractive Summarization Models
In this paper, we take stock of the current state of summarization datas...
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08/30/2019
Exploring Domain Shift in Extractive Text Summarization
Although domain shift has been well explored in many NLP applications, i...
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07/08/2019
