b'Yunbo Cao'

research

∙ 09/05/2023

Making Large Language Models Better Reasoners with Alignment

Reasoning is a cognitive process of using evidence to reach a sound conc...

0 Peiyi Wang, et al. ∙

research

∙ 07/16/2023

Unifying Token and Span Level Supervisions for Few-Shot Sequence Labeling

Few-shot sequence labeling aims to identify novel classes based on only ...

0 Zifeng Cheng, et al. ∙

research

∙ 06/28/2023

SkillNet-X: A Multilingual Multitask Model with Sparsely Activated Skills

Traditional multitask learning methods basically can only exploit common...

0 Zhangyin Feng, 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

∙ 05/29/2023

Large Language Models are not Fair Evaluators

We uncover a systematic bias in the evaluation paradigm of adopting larg...

0 Peiyi Wang, et al. ∙

research

∙ 05/24/2023

Bi-Drop: Generalizable Fine-tuning for Pre-trained Language Models via Adaptive Subnetwork Optimization

Pretrained language models have achieved remarkable success in a variety...

0 Shoujie Tong, et al. ∙

research

∙ 05/24/2023

DialogVCS: Robust Natural Language Understanding in Dialogue System Upgrade

In the constant updates of the product dialogue systems, we need to retr...

0 Zefan Cai, et al. ∙

research

∙ 05/24/2023

Denoising Bottleneck with Mutual Information Maximization for Video Multimodal Fusion

Video multimodal fusion aims to integrate multimodal signals in videos, ...

0 Shaoxaing Wu, et al. ∙

research

∙ 05/11/2023

QURG: Question Rewriting Guided Context-Dependent Text-to-SQL Semantic Parsing

Context-dependent Text-to-SQL aims to translate multi-turn natural langu...

0 Linzheng Chai, et al. ∙

research

∙ 05/08/2023

Enhancing Continual Relation Extraction via Classifier Decomposition

Continual relation extraction (CRE) models aim at handling emerging new ...

0 Heming Xia, et al. ∙

research

∙ 03/15/2023

Finding Similar Exercises in Retrieval Manner

When students make a mistake in an exercise, they can consolidate it by ...

0 Tongwen Huang, et al. ∙

research

∙ 03/09/2023

TQ-Net: Mixed Contrastive Representation Learning For Heterogeneous Test Questions

Recently, more and more people study online for the convenience of acces...

0 He Zhu, et al. ∙

research

∙ 12/14/2022

DialogQAE: N-to-N Question Answer Pair Extraction from Customer Service Chatlog

Harvesting question-answer (QA) pairs from customer service chatlog in t...

0 Xin Zheng, et al. ∙

research

∙ 11/15/2022

DualNER: A Dual-Teaching framework for Zero-shot Cross-lingual Named Entity Recognition

We present DualNER, a simple and effective framework to make full use of...

0 Jiali Zeng, et al. ∙

research

∙ 11/07/2022

Contrastive Learning with Prompt-derived Virtual Semantic Prototypes for Unsupervised Sentence Embedding

Contrastive learning has become a new paradigm for unsupervised sentence...

0 Jiali Zeng, et al. ∙

research

∙ 10/25/2022

Instance Segmentation for Chinese Character Stroke Extraction, Datasets and Benchmarks

Stroke is the basic element of Chinese character and stroke extraction h...

0 Lizhao Liu, et al. ∙

research

∙ 10/20/2022

DialogUSR: Complex Dialogue Utterance Splitting and Reformulation for Multiple Intent Detection

While interacting with chatbots, users may elicit multiple intents in a ...

0 Haoran Meng, et al. ∙

research

∙ 10/19/2022

Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error Correction

Chinese Grammatical Error Correction (CGEC) is both a challenging NLP ta...

0 Shirong Ma, et al. ∙

research

∙ 10/19/2022

Learning from the Dictionary: Heterogeneous Knowledge Guided Fine-tuning for Chinese Spell Checking

Chinese Spell Checking (CSC) aims to detect and correct Chinese spelling...

0 Yinghui Li, et al. ∙

research

∙ 10/10/2022

Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation

Continual relation extraction (CRE) aims to continually learn new relati...

0 Peiyi Wang, et al. ∙

research

∙ 09/01/2022

Less is More: Rethinking State-of-the-art Continual Relation Extraction Models with a Frustratingly Easy but Effective Approach

Continual relation extraction (CRE) requires the model to continually le...

0 Peiyi Wang, et al. ∙

research

∙ 08/26/2022

AiM: Taking Answers in Mind to Correct Chinese Cloze Tests in Educational Applications

To automatically correct handwritten assignments, the traditional approa...

0 Yusen Zhang, et al. ∙

research

∙ 07/17/2022

Automatic Context Pattern Generation for Entity Set Expansion

Entity Set Expansion (ESE) is a valuable task that aims to find entities...

0 Yinghui Li, et al. ∙

research

∙ 07/17/2022

Contextual Similarity is More Valuable than Character Similarity: Curriculum Learning for Chinese Spell Checking

Chinese Spell Checking (CSC) task aims to detect and correct Chinese spe...

0 Ding Zhang, et al. ∙

research

∙ 05/16/2022

CQR-SQL: Conversational Question Reformulation Enhanced Context-Dependent Text-to-SQL Parsers

Context-dependent text-to-SQL is the task of translating multi-turn ques...

0 Dongling Xiao, et al. ∙

research

∙ 04/28/2022

HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification

Hierarchical text classification (HTC) is a challenging subtask of multi...

7 Zihan Wang, et al. ∙

research

∙ 04/19/2022

SmartSales: Sales Script Extraction and Analysis from Sales Chatlog

In modern sales applications, automatic script extraction and management...

0 Hua Liang, et al. ∙

research

∙ 03/17/2022

Type-Driven Multi-Turn Corrections for Grammatical Error Correction

Grammatical Error Correction (GEC) aims to automatically detect and corr...

0 Shaopeng Lai, et al. ∙

research

∙ 03/02/2022

The Past Mistake is the Future Wisdom: Error-driven Contrastive Probability Optimization for Chinese Spell Checking

Chinese Spell Checking (CSC) aims to detect and correct Chinese spelling...

0 Yinghui Li, et al. ∙

research

∙ 02/24/2022

Pretraining without Wordpieces: Learning Over a Vocabulary of Millions of Words

The standard BERT adopts subword-based tokenization, which may break a w...

15 Zhangyin Feng, et al. ∙

research

∙ 11/17/2021

Exploring Student Representation For Neural Cognitive Diagnosis

Cognitive diagnosis, the goal of which is to obtain the proficiency leve...

1 Hengyao Bao, et al. ∙

research

∙ 10/19/2021

A non-hierarchical attention network with modality dropout for textual response generation in multimodal dialogue systems

Existing text- and image-based multimodal dialogue systems use the tradi...

0 Rongyi Sun, et al. ∙

research

∙ 10/16/2021

Seeking Patterns, Not just Memorizing Procedures: Contrastive Learning for Solving Math Word Problems

Math Word Problem (MWP) solving needs to discover the quantitative relat...

0 Zhongli Li, et al. ∙

research

∙ 09/27/2021

An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling

Few-Shot Sequence Labeling (FSSL) is a canonical solution for the taggin...

0 Peiyi Wang, et al. ∙

research

∙ 06/06/2021

Enhancing Label Correlation Feedback in Multi-Label Text Classification via Multi-Task Learning

In multi-label text classification (MLTC), each given document is associ...

0 Ximing Zhang, et al. ∙

research

∙ 05/26/2021

Read, Listen, and See: Leveraging Multimodal Information Helps Chinese Spell Checking

Chinese Spell Checking (CSC) aims to detect and correct erroneous charac...

0 Heng-Da Xu, et al. ∙

research

∙ 04/21/2021

LANA: Towards Personalized Deep Knowledge Tracing Through Distinguishable Interactive Sequences

In educational applications, Knowledge Tracing (KT), the problem of accu...

1 Yuhao Zhou, et al. ∙

research

∙ 12/30/2020

Improving BERT with Syntax-aware Local Attention

Pre-trained Transformer-based neural language models, such as BERT, have...

0 Zhongli Li, et al. ∙

research

∙ 12/29/2020

Dialogue Response Selection with Hierarchical Curriculum Learning

We study the learning of a matching model for dialogue response selectio...

4 Yixuan Su, et al. ∙

research

∙ 09/20/2020

Difference-aware Knowledge Selection for Knowledge-grounded Conversation Generation

In a multi-turn knowledge-grounded dialog, the difference between the kn...

3 Chujie Zheng, et al. ∙

research

∙ 06/16/2020

The SPPD System for Schema Guided Dialogue State Tracking Challenge

This paper introduces one of our group's work on the Dialog System Techn...

0 Miao Li, et al. ∙

Yunbo Cao

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