b'Fandong Meng'

research

∙ 09/09/2023

Towards Better Multi-modal Keyphrase Generation via Visual Entity Enhancement and Multi-granularity Image Noise Filtering

Multi-modal keyphrase generation aims to produce a set of keyphrases tha...

0 Yifan Dong, et al. ∙

research

∙ 09/07/2023

On Large Language Models' Selection Bias in Multi-Choice Questions

Multi-choice questions (MCQs) serve as a common yet important task forma...

0 Chujie Zheng, et al. ∙

research

∙ 08/24/2023

Improving Translation Faithfulness of Large Language Models via Augmenting Instructions

Large Language Models (LLMs) present strong general capabilities, and a ...

0 Yijie Chen, et al. ∙

research

∙ 08/23/2023

Instruction Position Matters in Sequence Generation with Large Language Models

Large language models (LLMs) are capable of performing conditional seque...

0 Yijin Liu, et al. ∙

research

∙ 08/17/2023

An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning

Catastrophic forgetting (CF) is a phenomenon that occurs in machine lear...

0 Yun Luo, et al. ∙

research

∙ 08/06/2023

Towards Multiple References Era – Addressing Data Leakage and Limited Reference Diversity in NLG Evaluation

N-gram matching-based evaluation metrics, such as BLEU and chrF, are wid...

0 Xianfeng Zeng, et al. ∙

research

∙ 07/29/2023

Towards Codable Text Watermarking for Large Language Models

As large language models (LLMs) generate texts with increasing fluency a...

0 Lean Wang, et al. ∙

research

∙ 07/10/2023

TIM: Teaching Large Language Models to Translate with Comparison

Open-sourced large language models (LLMs) have demonstrated remarkable e...

0 Jiali Zeng, et al. ∙

research

∙ 06/13/2023

Soft Language Clustering for Multilingual Model Pre-training

Multilingual pre-trained language models have demonstrated impressive (z...

0 Jiali Zeng, et al. ∙

research

∙ 05/23/2023

Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning

In-context learning (ICL) emerges as a promising capability of large lan...

0 Lean Wang, et al. ∙

research

∙ 05/22/2023

D^2TV: Dual Knowledge Distillation and Target-oriented Vision Modeling for Many-to-Many Multimodal Summarization

Many-to-many multimodal summarization (M^3S) task aims to generate summa...

0 Yunlong Liang, et al. ∙

research

∙ 05/20/2023

Mitigating Catastrophic Forgetting in Task-Incremental Continual Learning with Adaptive Classification Criterion

Task-incremental continual learning refers to continually training a mod...

0 Yun Luo, et al. ∙

research

∙ 05/17/2023

Personality Understanding of Fictional Characters during Book Reading

Comprehending characters' personalities is a crucial aspect of story rea...

0 Mo Yu, et al. ∙

research

∙ 05/16/2023

Towards Unifying Multi-Lingual and Cross-Lingual Summarization

To adapt text summarization to the multilingual world, previous work pro...

0 Jiaan Wang, et al. ∙

research

∙ 05/13/2023

RC3: Regularized Contrastive Cross-lingual Cross-modal Pre-training

Multilingual vision-language (V L) pre-training has achieved remarkabl...

0 Chulun Zhou, et al. ∙

research

∙ 05/11/2023

WeLayout: WeChat Layout Analysis System for the ICDAR 2023 Competition on Robust Layout Segmentation in Corporate Documents

In this paper, we introduce WeLayout, a novel system for segmenting the ...

0 Mingliang Zhang, et al. ∙

research

∙ 05/10/2023

Investigating Forgetting in Pre-Trained Representations Through Continual Learning

Representation forgetting refers to the drift of contextualized represen...

0 Yun Luo, et al. ∙

research

∙ 05/08/2023

Diffusion Theory as a Scalpel: Detecting and Purifying Poisonous Dimensions in Pre-trained Language Models Caused by Backdoor or Bias

Pre-trained Language Models (PLMs) may be poisonous with backdoors or bi...

0 Zhiyuan Zhang, et al. ∙

research

∙ 05/04/2023

BranchNorm: Robustly Scaling Extremely Deep Transformers

Recently, DeepNorm scales Transformers into extremely deep (i.e., 1000 l...

0 Yijin Liu, et al. ∙

research

∙ 05/04/2023

Unified Model Learning for Various Neural Machine Translation

Existing neural machine translation (NMT) studies mainly focus on develo...

2 Yunlong Liang, et al. ∙

research

∙ 03/07/2023

Is ChatGPT a Good NLG Evaluator? A Preliminary Study

Recently, the emergence of ChatGPT has attracted wide attention from the...

0 Jiaan Wang, et al. ∙

research

∙ 02/28/2023

Cross-Lingual Summarization via ChatGPT

Given a document in a source language, cross-lingual summarization (CLS)...

0 Jiaan Wang, et al. ∙

research

∙ 01/27/2023

A Multi-task Multi-stage Transitional Training Framework for Neural Chat Translation

Neural chat translation (NCT) aims to translate a cross-lingual chat bet...

0 Chulun Zhou, et al. ∙

research

∙ 01/25/2023

Integrating Local Real Data with Global Gradient Prototypes for Classifier Re-Balancing in Federated Long-Tailed Learning

Federated Learning (FL) has become a popular distributed learning paradi...

0 Wenkai Yang, et al. ∙

research

∙ 12/15/2022

Summary-Oriented Vision Modeling for Multimodal Abstractive Summarization

The goal of multimodal abstractive summarization (MAS) is to produce a c...

0 Yunlong Liang, et al. ∙

research

∙ 12/14/2022

Understanding Translationese in Cross-Lingual Summarization

Given a document in a source language, cross-lingual summarization (CLS)...

0 Jiaan Wang, et al. ∙

research

∙ 12/08/2022

DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding

Minimum Bayesian Risk Decoding (MBR) emerges as a promising decoding alg...

0 Jianhao Yan, et al. ∙

research

∙ 11/30/2022

Findings of the WMT 2022 Shared Task on Translation Suggestion

We report the result of the first edition of the WMT shared task on Tran...

0 Zhen Yang, et al. ∙

research

∙ 11/28/2022

Summer: WeChat Neural Machine Translation Systems for the WMT22 Biomedical Translation Task

This paper introduces WeChat's participation in WMT 2022 shared biomedic...

0 Ernan Li, et al. ∙

research

∙ 11/28/2022

BJTU-WeChat's Systems for the WMT22 Chat Translation Task

This paper introduces the joint submission of the Beijing Jiaotong Unive...

0 Yunlong Liang, et al. ∙

research

∙ 11/16/2022

CSCD-IME: Correcting Spelling Errors Generated by Pinyin IME

Chinese Spelling Correction (CSC) is a task to detect and correct spelli...

0 Yong Hu, et al. ∙

research

∙ 10/26/2022

Question-Interlocutor Scope Realized Graph Modeling over Key Utterances for Dialogue Reading Comprehension

In this work, we focus on dialogue reading comprehension (DRC), a task e...

0 Jiangnan Li, et al. ∙

research

∙ 10/21/2022

Empathetic Dialogue Generation via Sensitive Emotion Recognition and Sensible Knowledge Selection

Empathy, which is widely used in psychological counselling, is a key tra...

0 Lanrui Wang, et al. ∙

research

∙ 10/17/2022

Towards Robust k-Nearest-Neighbor Machine Translation

k-Nearest-Neighbor Machine Translation (kNN-MT) becomes an important res...

0 Hui Jiang, et al. ∙

research

∙ 10/13/2022

Categorizing Semantic Representations for Neural Machine Translation

Modern neural machine translation (NMT) models have achieved competitive...

0 Yongjing Yin, et al. ∙

research

∙ 10/11/2022

A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models

Despite the remarkable success of pre-trained language models (PLMs), th...

0 Yuanxin Liu, et al. ∙

research

∙ 10/10/2022

Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQA

Visual Question Answering (VQA) models are prone to learn the shortcut s...

0 Qingyi Si, et al. ∙

research

∙ 10/10/2022

Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning

Models for Visual Question Answering (VQA) often rely on the spurious co...

0 Qingyi Si, et al. ∙

research

∙ 10/09/2022

Cross-Align: Modeling Deep Cross-lingual Interactions for Word Alignment

Word alignment which aims to extract lexicon translation equivalents bet...

0 Siyu Lai, et al. ∙

research

∙ 09/13/2022

Rethink about the Word-level Quality Estimation for Machine Translation from Human Judgement

Word-level Quality Estimation (QE) of Machine Translation (MT) aims to f...

0 Zhen Yang, et al. ∙

research

∙ 06/25/2022

Probing Causes of Hallucinations in Neural Machine Translations

Hallucination, one kind of pathological translations that bothers Neural...

0 Jianhao Yan, et al. ∙

research

∙ 05/08/2022

Scheduled Multi-task Learning for Neural Chat Translation

Neural Chat Translation (NCT) aims to translate conversational text into...

0 Yunlong Liang, et al. ∙

research

∙ 05/02/2022

Neutral Utterances are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense Knowledge

Conversational Causal Emotion Entailment aims to detect causal utterance...

0 Jiangnan Li, et al. ∙

research

∙ 04/24/2022

Learning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask Training

Recent studies on the lottery ticket hypothesis (LTH) show that pre-trai...

0 Yuanxin Liu, et al. ∙

research

∙ 04/19/2022

Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation

Generating adversarial examples for Neural Machine Translation (NMT) wit...

0 Siyu Lai, et al. ∙

research

∙ 03/23/2022

A Survey on Cross-Lingual Summarization

Cross-lingual summarization is the task of generating a summary in one l...

9 Jiaan Wang, et al. ∙

research

∙ 03/16/2022

Spot the Difference: A Cooperative Object-Referring Game in Non-Perfectly Co-Observable Scene

Visual dialog has witnessed great progress after introducing various vis...

0 Duo Zheng, et al. ∙

research

∙ 03/08/2022

A Variational Hierarchical Model for Neural Cross-Lingual Summarization

The goal of the cross-lingual summarization (CLS) is to convert a docume...

0 Yunlong Liang, et al. ∙

research

∙ 03/07/2022

Towards Robust Online Dialogue Response Generation

Although pre-trained sequence-to-sequence models have achieved great suc...

0 Leyang Cui, et al. ∙

research

∙ 03/06/2022

Conditional Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation

Token-level adaptive training approaches can alleviate the token imbalan...

0 Songming Zhang, et al. ∙

Fandong Meng

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