Search Results for author: Jiajun Chen

Found 62 papers, 40 papers with code

NJU’s submission to the WMT20 QE Shared Task

no code implementations WMT (EMNLP) 2020 Qu Cui, Xiang Geng, ShuJian Huang, Jiajun Chen

This paper describes our system of the sentence-level and word-level Quality Estimation Shared Task of WMT20.

Language Modelling Sentence

Towards Multi-label Unknown Intent Detection

1 code implementation COLING 2022 Yawen Ouyang, Zhen Wu, Xinyu Dai, ShuJian Huang, Jiajun Chen

In this paper, we propose a more desirable task, multi-label unknown intent detection, to detect whether the utterance contains the unknown intent, in which each utterance may contain multiple intents.

Intent Detection

GLAT: Glancing at Latent Variables for Parallel Text Generation

1 code implementation ACL 2022 Yu Bao, Hao Zhou, ShuJian Huang, Dongqi Wang, Lihua Qian, Xinyu Dai, Jiajun Chen, Lei LI

Recently, parallel text generation has received widespread attention due to its success in generation efficiency.

Text Generation

Meta-LMTC: Meta-Learning for Large-Scale Multi-Label Text Classification

no code implementations EMNLP 2021 Ran Wang, Xi’ao Su, Siyu Long, Xinyu Dai, ShuJian Huang, Jiajun Chen

However, the simple extension of meta-learning approaches to multi-label classification is sub-optimal for LMTC tasks due to long-tailed label distribution and coexisting of few- and zero-shot scenarios.

Meta-Learning Multi-Label Classification +3

Learning from Adjective-Noun Pairs: A Knowledge-enhanced Framework for Target-Oriented Multimodal Sentiment Classification

1 code implementation COLING 2022 Fei Zhao, Zhen Wu, Siyu Long, Xinyu Dai, ShuJian Huang, Jiajun Chen

Target-oriented multimodal sentiment classification (TMSC) is a new subtask of aspect-based sentiment analysis, which aims to determine the sentiment polarity of the opinion target mentioned in a (sentence, image) pair.

Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +2

Enforcing Paraphrase Generation via Controllable Latent Diffusion

1 code implementation13 Apr 2024 Wei Zou, Ziyuan Zhuang, ShuJian Huang, Jia Liu, Jiajun Chen

Paraphrase generation aims to produce high-quality and diverse utterances of a given text.

Paraphrase Generation

Multilingual Pretraining and Instruction Tuning Improve Cross-Lingual Knowledge Alignment, But Only Shallowly

1 code implementation6 Apr 2024 Changjiang Gao, Hongda Hu, Peng Hu, Jiajun Chen, Jixing Li, ShuJian Huang

In this paper, we propose CLiKA, a systematic framework to assess the cross-lingual knowledge alignment of LLMs in the Performance, Consistency and Conductivity levels, and explored the effect of multilingual pretraining and instruction tuning on the degree of alignment.

MixRED: A Mix-lingual Relation Extraction Dataset

no code implementations23 Mar 2024 Lingxing Kong, Yougang Chu, Zheng Ma, Jianbing Zhang, Liang He, Jiajun Chen

Relation extraction is a critical task in the field of natural language processing with numerous real-world applications.

Relation Relation Extraction

MT-PATCHER: Selective and Extendable Knowledge Distillation from Large Language Models for Machine Translation

no code implementations14 Mar 2024 Jiahuan Li, Shanbo Cheng, ShuJian Huang, Jiajun Chen

Large Language Models (LLM) have demonstrated their strong ability in the field of machine translation (MT), yet they suffer from high computational cost and latency.

Knowledge Distillation Machine Translation +1

Measuring Meaning Composition in the Human Brain with Composition Scores from Large Language Models

no code implementations7 Mar 2024 Changjiang Gao, Jixing Li, Jiajun Chen, ShuJian Huang

Drawing on the key-value memory interpretation of transformer feed-forward network blocks, we introduce the Composition Score, a novel model-based metric designed to quantify the degree of meaning composition during sentence comprehension.

Sentence

EchoTrack: Auditory Referring Multi-Object Tracking for Autonomous Driving

1 code implementation28 Feb 2024 Jiacheng Lin, Jiajun Chen, Kunyu Peng, Xuan He, Zhiyong Li, Rainer Stiefelhagen, Kailun Yang

This paper introduces the task of Auditory Referring Multi-Object Tracking (AR-MOT), which dynamically tracks specific objects in a video sequence based on audio expressions and appears as a challenging problem in autonomous driving.

Autonomous Driving Multi-Object Tracking +1

Cobra Effect in Reference-Free Image Captioning Metrics

no code implementations18 Feb 2024 Zheng Ma, Changxin Wang, Yawen Ouyang, Fei Zhao, Jianbing Zhang, ShuJian Huang, Jiajun Chen

If a certain metric has flaws, it will be exploited by the model and reflected in the generated sentences.

Image Captioning

Question Translation Training for Better Multilingual Reasoning

1 code implementation15 Jan 2024 Wenhao Zhu, ShuJian Huang, Fei Yuan, Shuaijie She, Jiajun Chen, Alexandra Birch

A typical solution is to translate instruction data into all languages of interest, and then train on the resulting multilingual data, which is called translate-training.

Mathematical Reasoning Translation

Multi-Candidate Speculative Decoding

1 code implementation12 Jan 2024 Sen yang, ShuJian Huang, Xinyu Dai, Jiajun Chen

One way to speed them up is speculative decoding, which generates candidate segments (a sequence of tokens) from a fast draft model that is then verified in parallel by the target model.

MAPO: Advancing Multilingual Reasoning through Multilingual Alignment-as-Preference Optimization

1 code implementation12 Jan 2024 Shuaijie She, Wei Zou, ShuJian Huang, Wenhao Zhu, Xiang Liu, Xiang Geng, Jiajun Chen

To enhance reasoning abilities in non-dominant languages, we propose a Multilingual-Alignment-as-Preference Optimization framework (MAPO), aiming to align the reasoning processes in other languages with the dominant language.

Mathematical Reasoning

Lost in the Source Language: How Large Language Models Evaluate the Quality of Machine Translation

1 code implementation12 Jan 2024 Xu Huang, Zhirui Zhang, Xiang Geng, Yichao Du, Jiajun Chen, ShuJian Huang

Large Language Models (LLMs) have achieved remarkable results in the machine translation evaluation task, yet there remains a gap in knowledge regarding how they utilize the provided data to conduct evaluations.

Machine Translation Translation

A Wolf in Sheep's Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily

1 code implementation14 Nov 2023 Peng Ding, Jun Kuang, Dan Ma, Xuezhi Cao, Yunsen Xian, Jiajun Chen, ShuJian Huang

Finally, we analyze the failure of LLMs defense from the perspective of prompt execution priority, and propose corresponding defense strategies.

Exploring the Factual Consistency in Dialogue Comprehension of Large Language Models

no code implementations13 Nov 2023 Shuaijie She, ShuJian Huang, Xingyun Wang, Yanke Zhou, Jiajun Chen

For answering the factual questions, which is more challenging, the average error rate of all evaluated LLMs is 36. 1%.

Roles of Scaling and Instruction Tuning in Language Perception: Model vs. Human Attention

1 code implementation29 Oct 2023 Changjiang Gao, ShuJian Huang, Jixing Li, Jiajun Chen

Recent large language models (LLMs) have revealed strong abilities to understand natural language.

IMTLab: An Open-Source Platform for Building, Evaluating, and Diagnosing Interactive Machine Translation Systems

1 code implementation17 Oct 2023 Xu Huang, Zhirui Zhang, Ruize Gao, Yichao Du, Lemao Liu, Gouping Huang, Shuming Shi, Jiajun Chen, ShuJian Huang

We present IMTLab, an open-source end-to-end interactive machine translation (IMT) system platform that enables researchers to quickly build IMT systems with state-of-the-art models, perform an end-to-end evaluation, and diagnose the weakness of systems.

Machine Translation Translation

Towards Better Chain-of-Thought Prompting Strategies: A Survey

no code implementations8 Oct 2023 Zihan Yu, Liang He, Zhen Wu, Xinyu Dai, Jiajun Chen

Chain-of-Thought (CoT), a step-wise and coherent reasoning chain, shows its impressive strength when used as a prompting strategy for large language models (LLM).

Extrapolating Large Language Models to Non-English by Aligning Languages

2 code implementations9 Aug 2023 Wenhao Zhu, Yunzhe Lv, Qingxiu Dong, Fei Yuan, Jingjing Xu, ShuJian Huang, Lingpeng Kong, Jiajun Chen, Lei LI

We start from targeting individual languages by performing cross-lingual instruction-tuning (CoIT) on LLaMA, i. e. tuning it with translation task data and cross-lingual general task data to obtain cross-lingual models (x-LLaMAs), and formulate underlying scaling laws to investigate the advantages of using scalable translation data.

Translation

Food-500 Cap: A Fine-Grained Food Caption Benchmark for Evaluating Vision-Language Models

1 code implementation6 Aug 2023 Zheng Ma, Mianzhi Pan, Wenhan Wu, Kanzhi Cheng, Jianbing Zhang, ShuJian Huang, Jiajun Chen

Experiments on our proposed datasets demonstrate that popular VLMs underperform in the food domain compared with their performance in the general domain.

ADS-Cap: A Framework for Accurate and Diverse Stylized Captioning with Unpaired Stylistic Corpora

1 code implementation2 Aug 2023 Kanzhi Cheng, Zheng Ma, Shi Zong, Jianbing Zhang, Xinyu Dai, Jiajun Chen

Generating visually grounded image captions with specific linguistic styles using unpaired stylistic corpora is a challenging task, especially since we expect stylized captions with a wide variety of stylistic patterns.

Contrastive Learning Image Captioning

BLEURT Has Universal Translations: An Analysis of Automatic Metrics by Minimum Risk Training

no code implementations6 Jul 2023 Yiming Yan, Tao Wang, Chengqi Zhao, ShuJian Huang, Jiajun Chen, Mingxuan Wang

In this study, we systematically analyze and compare various mainstream and cutting-edge automatic metrics from the perspective of their guidance for training machine translation systems.

Machine Translation Sentence +1

INK: Injecting kNN Knowledge in Nearest Neighbor Machine Translation

1 code implementation10 Jun 2023 Wenhao Zhu, Jingjing Xu, ShuJian Huang, Lingpeng Kong, Jiajun Chen

We propose an effective training framework INK to directly smooth the representation space via adjusting representations of kNN neighbors with a small number of new parameters.

Machine Translation Translation

Eliciting the Translation Ability of Large Language Models via Multilingual Finetuning with Translation Instructions

no code implementations24 May 2023 Jiahuan Li, Hao Zhou, ShuJian Huang, Shanbo Cheng, Jiajun Chen

Secondly, we find that LLMs' ability to carry out translation instructions relies on the understanding of translation instructions and the alignment among different languages.

Language Modelling Translation

kNN-BOX: A Unified Framework for Nearest Neighbor Generation

1 code implementation27 Feb 2023 Wenhao Zhu, Qianfeng Zhao, Yunzhe Lv, ShuJian Huang, Siheng Zhao, Sizhe Liu, Jiajun Chen

Augmenting the base neural model with a token-level symbolic datastore is a novel generation paradigm and has achieved promising results in machine translation (MT).

Machine Translation Paraphrase Generation +4

CoP: Factual Inconsistency Detection by Controlling the Preference

1 code implementation3 Dec 2022 Shuaijie She, Xiang Geng, ShuJian Huang, Jiajun Chen

To separate the preference for factual consistency, we propose an unsupervised framework named CoP by controlling the preference of the generation model with the help of prompt.

Abstractive Text Summarization

What Knowledge Is Needed? Towards Explainable Memory for kNN-MT Domain Adaptation

1 code implementation8 Nov 2022 Wenhao Zhu, ShuJian Huang, Yunzhe Lv, Xin Zheng, Jiajun Chen

kNN-MT presents a new paradigm for domain adaptation by building an external datastore, which usually saves all target language token occurrences in the parallel corpus.

Domain Adaptation NMT +1

Structure-Unified M-Tree Coding Solver for MathWord Problem

1 code implementation22 Oct 2022 Bin Wang, Jiangzhou Ju, Yang Fan, Xinyu Dai, ShuJian Huang, Jiajun Chen

As one of the challenging NLP tasks, designing math word problem (MWP) solvers has attracted increasing research attention for the past few years.

Math

Probing Cross-modal Semantics Alignment Capability from the Textual Perspective

no code implementations18 Oct 2022 Zheng Ma, Shi Zong, Mianzhi Pan, Jianbing Zhang, ShuJian Huang, Xinyu Dai, Jiajun Chen

In recent years, vision and language pre-training (VLP) models have advanced the state-of-the-art results in a variety of cross-modal downstream tasks.

Image Captioning Sentence

What Makes for Automatic Reconstruction of Pulmonary Segments

1 code implementation7 Jul 2022 Kaiming Kuang, Li Zhang, Jingyu Li, Hongwei Li, Jiajun Chen, Bo Du, Jiancheng Yang

The automatic reconstruction of pulmonary segments by ImPulSe is accurate in metrics and visually appealing.

3D Reconstruction

A Numerical Reasoning Question Answering System with Fine-grained Retriever and the Ensemble of Multiple Generators for FinQA

no code implementations17 Jun 2022 Bin Wang, Jiangzhou Ju, Yunlin Mao, Xin-yu Dai, ShuJian Huang, Jiajun Chen

Here, we propose a numerical reasoning question answering system to answer numerical reasoning questions among financial text and table data sources, consisting of a retriever module, a generator module, and an ensemble module.

Question Answering

Exploiting Global Semantic Similarities in Knowledge Graphs by Relational Prototype Entities

no code implementations16 Jun 2022 Xueliang Wang, Jiajun Chen, Feng Wu, Jie Wang

By enforcing the entities' embeddings close to their associated prototypes' embeddings, our approach can effectively encourage the global semantic similarities of entities -- that can be far away in the KG -- connected by the same relation.

Entity Alignment Knowledge Graphs +1

Analyzing the Intensity of Complaints on Social Media

1 code implementation Findings (NAACL) 2022 Ming Fang, Shi Zong, Jing Li, Xinyu Dai, ShuJian Huang, Jiajun Chen

Furthermore, we conduct a comprehensive linguistic analysis around complaints, including the connections between complaints and sentiment, and a cross-lingual comparison for complaints expressions used by Chinese and English speakers.

$\textit{latent}$-GLAT: Glancing at Latent Variables for Parallel Text Generation

1 code implementation5 Apr 2022 Yu Bao, Hao Zhou, ShuJian Huang, Dongqi Wang, Lihua Qian, Xinyu Dai, Jiajun Chen, Lei LI

Recently, parallel text generation has received widespread attention due to its success in generation efficiency.

Text Generation

ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs

1 code implementation NeurIPS 2021 Zhanqiu Zhang, Jie Wang, Jiajun Chen, Shuiwang Ji, Feng Wu

To address this challenge, we propose a novel query embedding model, namely Cone Embeddings (ConE), which is the first geometry-based QE model that can handle all the FOL operations, including conjunction, disjunction, and negation.

Knowledge Graphs Negation

Non-Parametric Online Learning from Human Feedback for Neural Machine Translation

1 code implementation23 Sep 2021 Dongqi Wang, Haoran Wei, Zhirui Zhang, ShuJian Huang, Jun Xie, Jiajun Chen

We study the problem of online learning with human feedback in the human-in-the-loop machine translation, in which the human translators revise the machine-generated translations and then the corrected translations are used to improve the neural machine translation (NMT) system.

Machine Translation NMT +1

Non-Parametric Unsupervised Domain Adaptation for Neural Machine Translation

1 code implementation Findings (EMNLP) 2021 Xin Zheng, Zhirui Zhang, ShuJian Huang, Boxing Chen, Jun Xie, Weihua Luo, Jiajun Chen

Recently, $k$NN-MT has shown the promising capability of directly incorporating the pre-trained neural machine translation (NMT) model with domain-specific token-level $k$-nearest-neighbor ($k$NN) retrieval to achieve domain adaptation without retraining.

Machine Translation NMT +3

Energy-based Unknown Intent Detection with Data Manipulation

2 code implementations Findings (ACL) 2021 Yawen Ouyang, Jiasheng Ye, Yu Chen, Xinyu Dai, ShuJian Huang, Jiajun Chen

Unknown intent detection aims to identify the out-of-distribution (OOD) utterance whose intent has never appeared in the training set.

Intent Detection

Technical Report of Team GraphMIRAcles in the WikiKG90M-LSC Track of OGB-LSC @ KDD Cup 2021

no code implementations12 Jul 2021 Jianyu Cai, Jiajun Chen, Taoxing Pan, Zhanqiu Zhang, Jie Wang

To address this challenge, we propose a framework that integrates three components -- a basic model ComplEx-CMRC, a rule miner AMIE 3, and an inference model to predict missing links.

Knowledge Distillation Knowledge Graphs +1

Adaptive Nearest Neighbor Machine Translation

3 code implementations ACL 2021 Xin Zheng, Zhirui Zhang, Junliang Guo, ShuJian Huang, Boxing Chen, Weihua Luo, Jiajun Chen

On four benchmark machine translation datasets, we demonstrate that the proposed method is able to effectively filter out the noises in retrieval results and significantly outperforms the vanilla kNN-MT model.

Machine Translation NMT +2

DirectQE: Direct Pretraining for Machine Translation Quality Estimation

no code implementations15 May 2021 Qu Cui, ShuJian Huang, Jiahuan Li, Xiang Geng, Zaixiang Zheng, Guoping Huang, Jiajun Chen

However, we argue that there are gaps between the predictor and the estimator in both data quality and training objectives, which preclude QE models from benefiting from a large number of parallel corpora more directly.

Machine Translation Translation

Dual Side Deep Context-aware Modulation for Social Recommendation

1 code implementation16 Mar 2021 Bairan Fu, Wenming Zhang, GuangNeng Hu, Xinyu Dai, ShuJian Huang, Jiajun Chen

Specifically, we first proposed a novel graph neural network to model the social relation and collaborative relation, and on top of high-order relations, a dual side deep context-aware modulation is introduced to capture the friends' information and item attraction.

Relation

Topology-Aware Correlations Between Relations for Inductive Link Prediction in Knowledge Graphs

1 code implementation5 Mar 2021 Jiajun Chen, Huarui He, Feng Wu, Jie Wang

TACT is inspired by the observation that the semantic correlation between two relations is highly correlated to their topological structure in knowledge graphs.

Inductive Link Prediction Knowledge Graphs +1

FGraDA: A Dataset and Benchmark for Fine-Grained Domain Adaptation in Machine Translation

1 code implementation LREC 2022 Wenhao Zhu, ShuJian Huang, Tong Pu, Pingxuan Huang, Xu Zhang, Jian Yu, Wei Chen, Yanfeng Wang, Jiajun Chen

Previous research for adapting a general neural machine translation (NMT) model into a specific domain usually neglects the diversity in translation within the same domain, which is a core problem for domain adaptation in real-world scenarios.

Autonomous Vehicles Domain Adaptation +3

Opinion Transmission Network for Jointly Improving Aspect-oriented Opinion Words Extraction and Sentiment Classification

no code implementations1 Nov 2020 Chengcan Ying, Zhen Wu, Xinyu Dai, ShuJian Huang, Jiajun Chen

In this paper, we propose a novel joint model, Opinion Transmission Network (OTN), to exploit the potential bridge between ALSC and AOWE to achieve the goal of facilitating them simultaneously.

Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +3

MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response

1 code implementation8 Oct 2020 Jiancheng Yang, Jiajun Chen, Kaiming Kuang, Tiancheng Lin, Junjun He, Bingbing Ni

Furthermore, we experiment the proposed method on an in-house, retrospective dataset of real-world non-small cell lung cancer patients under anti-PD-1 immunotherapy.

 Ranked #1 on Text-To-Speech Synthesis on 20000 utterances (using extra training data)

Text-To-Speech Synthesis Time Series +2

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