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08/09/2023
Extrapolating Large Language Models to Non-English by Aligning Languages
Due to the unbalanced training data distribution, the language ability o...
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08/08/2023
EPCFormer: Expression Prompt Collaboration Transformer for Universal Referring Video Object Segmentation
Audio-guided Video Object Segmentation (A-VOS) and Referring Video Objec...
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08/06/2023
Food-500 Cap: A Fine-Grained Food Caption Benchmark for Evaluating Vision-Language Models
Vision-language models (VLMs) have shown impressive performance in subst...
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08/02/2023
ADS-Cap: A Framework for Accurate and Diverse Stylized Captioning with Unpaired Stylistic Corpora
Generating visually grounded image captions with specific linguistic sty...
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07/06/2023
BLEURT Has Universal Translations: An Analysis of Automatic Metrics by Minimum Risk Training
Automatic metrics play a crucial role in machine translation. Despite th...
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06/10/2023
INK: Injecting kNN Knowledge in Nearest Neighbor Machine Translation
Neural machine translation has achieved promising results on many transl...
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05/24/2023
Eliciting the Translation Ability of Large Language Models via Multilingual Finetuning with Translation Instructions
Large-scale Pretrained Language Models (LLMs), such as ChatGPT and GPT4,...
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05/07/2023
AdaptiveClick: Clicks-aware Transformer with Adaptive Focal Loss for Interactive Image Segmentation
Interactive Image Segmentation (IIS) has emerged as a promising techniqu...
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04/10/2023
Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis
Large language models (LLMs) have demonstrated remarkable potential in h...
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02/27/2023
kNN-BOX: A Unified Framework for Nearest Neighbor Generation
Augmenting the base neural model with a token-level symbolic datastore i...
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12/03/2022
CoP: Factual Inconsistency Detection by Controlling the Preference
Abstractive summarization is the process of generating a summary given a...
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11/08/2022
What Knowledge Is Needed? Towards Explainable Memory for kNN-MT Domain Adaptation
kNN-MT presents a new paradigm for domain adaptation by building an exte...
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10/22/2022
Structure-Unified M-Tree Coding Solver for MathWord Problem
As one of the challenging NLP tasks, designing math word problem (MWP) s...
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10/18/2022
Probing Cross-modal Semantics Alignment Capability from the Textual Perspective
In recent years, vision and language pre-training (VLP) models have adva...
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10/02/2022
Music-to-Text Synaesthesia: Generating Descriptive Text from Music Recordings
In this paper, we consider a novel research problem, music-to-text synae...
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07/07/2022
What Makes for Automatic Reconstruction of Pulmonary Segments
3D reconstruction of pulmonary segments plays an important role in surgi...
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06/17/2022
A Numerical Reasoning Question Answering System with Fine-grained Retriever and the Ensemble of Multiple Generators for FinQA
The numerical reasoning in the financial domain – performing quantitativ...
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04/20/2022
Analyzing the Intensity of Complaints on Social Media
Complaining is a speech act that expresses a negative inconsistency betw...
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04/05/2022
latent-GLAT: Glancing at Latent Variables for Parallel Text Generation
Recently, parallel text generation has received widespread attention due...
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09/23/2021
Non-Parametric Online Learning from Human Feedback for Neural Machine Translation
We study the problem of online learning with human feedback in the human...
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09/14/2021
Non-Parametric Unsupervised Domain Adaptation for Neural Machine Translation
Recently, kNN-MT has shown the promising capability of directly incorpor...
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07/27/2021
Energy-based Unknown Intent Detection with Data Manipulation
Unknown intent detection aims to identify the out-of-distribution (OOD) ...
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07/12/2021
Technical Report of Team GraphMIRAcles in the WikiKG90M-LSC Track of OGB-LSC @ KDD Cup 2021
Link prediction in large-scale knowledge graphs has gained increasing at...
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05/27/2021
Adaptive Nearest Neighbor Machine Translation
kNN-MT, recently proposed by Khandelwal et al. (2020a), successfully com...
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05/15/2021
DirectQE: Direct Pretraining for Machine Translation Quality Estimation
Machine Translation Quality Estimation (QE) is a task of predicting the ...
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05/07/2021
Duplex Sequence-to-Sequence Learning for Reversible Machine Translation
Sequence-to-sequence (seq2seq) problems such as machine translation are ...
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03/21/2021
Non-Autoregressive Translation by Learning Target Categorical Codes
Non-autoregressive Transformer is a promising text generation model. How...
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03/16/2021
Using Grammar Patterns to Interpret Test Method Name Evolution
It is good practice to name test methods such that they are comprehensib...
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03/16/2021
Dual Side Deep Context-aware Modulation for Social Recommendation
Social recommendation is effective in improving the recommendation perfo...
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12/31/2020
FDMT: A Benchmark Dataset for Fine-grained Domain Adaptation in Machine Translation
Previous domain adaptation research usually neglect the diversity in tra...
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11/01/2020
Transformer-based Multi-Aspect Modeling for Multi-Aspect Multi-Sentiment Analysis
Aspect-based sentiment analysis (ABSA) aims at analyzing the sentiment o...
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11/01/2020
Opinion Transmission Network for Jointly Improving Aspect-oriented Opinion Words Extraction and Sentiment Classification
Aspect-level sentiment classification (ALSC) and aspect oriented opinion...
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10/18/2020
Capturing Longer Context for Document-level Neural Machine Translation: A Multi-resolutional Approach
Discourse context has been proven useful when translating documents. It ...
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10/08/2020
MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response
Predicting clinical outcome is remarkably important but challenging. Res...
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09/21/2020
Alleviating the Inequality of Attention Heads for Neural Machine Translation
Recent studies show that the attention heads in Transformer are not equa...
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08/04/2020
Prompt Agnostic Essay Scorer: A Domain Generalization Approach to Cross-prompt Automated Essay Scoring
Cross-prompt automated essay scoring (AES) requires the system to use no...
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04/05/2020
A Discriminator Improves Unconditional Text Generation without Updating the Generator
We propose a novel mechanism to improve a text generator with a discrimi...
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04/05/2020
A Discriminator Improves Unconditional Text Generation without Updating the Generato
We propose a novel mechanism to improve a text generator with a discrimi...
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02/24/2020
GRET: Global Representation Enhanced Transformer
Transformer, based on the encoder-decoder framework, has achieved state-...
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02/19/2020
Toward Making the Most of Context in Neural Machine Translation
Document-level machine translation manages to outperform sentence level ...
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01/07/2020
Latent Opinions Transfer Network for Target-Oriented Opinion Words Extraction
Target-oriented opinion words extraction (TOWE) is a new subtask of ABSA...
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11/25/2019
Non-autoregressive Transformer by Position Learning
Non-autoregressive models are promising on various text generation tasks...
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11/21/2019
Generating Diverse Translation by Manipulating Multi-Head Attention
Transformer model has been widely used on machine translation tasks and ...
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11/09/2019
A Reinforced Generation of Adversarial Samples for Neural Machine Translation
Neural machine translation systems tend to fail on less de-cent inputs d...
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11/09/2019
Multi-Perspective Inferrer: Reasoning Sentences Relationship from Holistic Perspective
Natural Language Inference (NLI) aims to determine the logic relationshi...
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10/27/2019
Pre-train and Learn: Preserve Global Information for Graph Neural Networks
Graph neural networks (GNNs) have shown great power in learning on attri...
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09/10/2019
Fine-grained Knowledge Fusion for Sequence Labeling Domain Adaptation
In sequence labeling, previous domain adaptation methods focus on the ad...
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08/21/2019
Improving Neural Machine Translation with Pre-trained Representation
Monolingual data has been demonstrated to be helpful in improving the tr...
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07/17/2019
Learning Representation Mapping for Relation Detection in Knowledge Base Question Answering
Relation detection is a core step in many natural language process appli...
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07/08/2019
