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09/15/2023
Empowering Private Tutoring by Chaining Large Language Models
Artificial intelligence has been applied in various aspects of online ed...
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09/10/2023
Retrieval-Augmented Meta Learning for Low-Resource Text Classification
Meta learning have achieved promising performance in low-resource text c...
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09/10/2023
Prompt Learning With Knowledge Memorizing Prototypes For Generalized Few-Shot Intent Detection
Generalized Few-Shot Intent Detection (GFSID) is challenging and realist...
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08/21/2023
LatEval: An Interactive LLMs Evaluation Benchmark with Incomplete Information from Lateral Thinking Puzzles
With the continuous evolution and refinement of LLMs, they are endowed w...
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08/21/2023
SeqGPT: An Out-of-the-box Large Language Model for Open Domain Sequence Understanding
Large language models (LLMs) have shown impressive ability for open-doma...
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08/14/2023
EcomGPT: Instruction-tuning Large Language Model with Chain-of-Task Tasks for E-commerce
Recently, instruction-following Large Language Models (LLMs) , represent...
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07/18/2023
On the (In)Effectiveness of Large Language Models for Chinese Text Correction
Recently, the development and progress of Large Language Models (LLMs) h...
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06/30/2023
Progressive Multi-task Learning Framework for Chinese Text Error Correction
Chinese Text Error Correction (CTEC) aims to detect and correct errors i...
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06/21/2023
Bidirectional End-to-End Learning of Retriever-Reader Paradigm for Entity Linking
Entity Linking (EL) is a fundamental task for Information Extraction and...
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06/20/2023
Mining Interest Trends and Adaptively Assigning SampleWeight for Session-based Recommendation
Session-based Recommendation (SR) aims to predict users' next click base...
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05/31/2023
Exploring Lottery Prompts for Pre-trained Language Models
Consistently scaling pre-trained language models (PLMs) imposes substant...
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05/18/2023
CLEME: Debiasing Multi-reference Evaluation for Grammatical Error Correction
It is intractable to evaluate the performance of Grammatical Error Corre...
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05/16/2023
AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation
Diffusion models have gained significant attention in the realm of image...
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05/12/2023
Knowledge Soft Integration for Multimodal Recommendation
One of the main challenges in modern recommendation systems is how to ef...
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04/07/2023
From Retrieval to Generation: Efficient and Effective Entity Set Expansion
Entity Set Expansion (ESE) is a critical task aiming to expand entities ...
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04/05/2023
MoocRadar: A Fine-grained and Multi-aspect Knowledge Repository for Improving Cognitive Student Modeling in MOOCs
Student modeling, the task of inferring a student's learning characteris...
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04/03/2023
Click-aware Structure Transfer with Sample Weight Assignment for Post-Click Conversion Rate Estimation
Post-click Conversion Rate (CVR) prediction task plays an essential role...
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03/16/2023
Self-Consistent Learning: Cooperation between Generators and Discriminators
Using generated data to improve the performance of downstream discrimina...
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03/09/2023
Knowledge-augmented Few-shot Visual Relation Detection
Visual Relation Detection (VRD) aims to detect relationships between obj...
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02/17/2023
Vision, Deduction and Alignment: An Empirical Study on Multi-modal Knowledge Graph Alignment
Entity alignment (EA) for knowledge graphs (KGs) plays a critical role i...
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12/14/2022
Establishing a stronger baseline for lightweight contrastive models
Recent research has reported a performance degradation in self-supervise...
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11/20/2022
Embracing Ambiguity: Improving Similarity-oriented Tasks with Contextual Synonym Knowledge
Contextual synonym knowledge is crucial for those similarity-oriented ta...
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11/10/2022
Few-shot Classification with Hypersphere Modeling of Prototypes
Metric-based meta-learning is one of the de facto standards in few-shot ...
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11/08/2022
Active Relation Discovery: Towards General and Label-aware Open Relation Extraction
Open Relation Extraction (OpenRE) aims to discover novel relations from ...
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10/29/2022
Towards Attribute-Entangled Controllable Text Generation: A Pilot Study of Blessing Generation
Controllable Text Generation (CTG) has obtained great success due to its...
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10/27/2022
A Curriculum Learning Approach for Multi-domain Text Classification Using Keyword weight Ranking
Text classification is a very classic NLP task, but it has two prominent...
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10/23/2022
Focus Is What You Need For Chinese Grammatical Error Correction
Chinese Grammatical Error Correction (CGEC) aims to automatically detect...
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08/23/2022
CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations
Pre-trained Language Models (PLMs) have achieved remarkable performance ...
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08/22/2022
Tree-structured Auxiliary Online Knowledge Distillation
Traditional knowledge distillation adopts a two-stage training process i...
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07/17/2022
Automatic Context Pattern Generation for Entity Set Expansion
Entity Set Expansion (ESE) is a valuable task that aims to find entities...
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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...
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04/16/2022
Contrastive Learning with Hard Negative Entities for Entity Set Expansion
Entity Set Expansion (ESE) is a promising task which aims to expand enti...
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03/14/2022
Sememe Prediction for BabelNet Synsets using Multilingual and Multimodal Information
In linguistics, a sememe is defined as the minimum semantic unit of lang...
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03/09/2022
Efficient Sub-structured Knowledge Distillation
Structured prediction models aim at solving a type of problem where the ...
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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...
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11/07/2021
Are we ready for a new paradigm shift? A Survey on Visual Deep MLP
Multilayer perceptron (MLP), as the first neural network structure to ap...
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11/03/2021
OpenPrompt: An Open-source Framework for Prompt-learning
Prompt-learning has become a new paradigm in modern natural language pro...
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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...
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08/24/2021
Prompt-Learning for Fine-Grained Entity Typing
As an effective approach to tune pre-trained language models (PLMs) for ...
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08/06/2021
Sentence Semantic Regression for Text Generation
Recall the classical text generation works, the generation framework can...
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07/01/2021
CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding
Despite pre-trained language models have proven useful for learning high...
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05/16/2021
Few-NERD: A Few-Shot Named Entity Recognition Dataset
Recently, considerable literature has grown up around the theme of few-s...
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02/13/2021
Generating Diversified Comments via Reader-Aware Topic Modeling and Saliency Detection
Automatic comment generation is a special and challenging task to verify...
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01/20/2021
Learning to Augment for Data-Scarce Domain BERT Knowledge Distillation
Despite pre-trained language models such as BERT have achieved appealing...
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11/17/2020
Towards All-around Knowledge Transferring: Learning From Task-irrelevant Labels
Deep neural models have hitherto achieved significant performances on nu...
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10/17/2020
Consistency and Coherency Enhanced Story Generation
Story generation is a challenging task, which demands to maintain consis...
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07/16/2020
Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word Segmentation
Fully supervised neural approaches have achieved significant progress in...
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04/06/2020
Grayscale Data Construction and Multi-Level Ranking Objective for Dialogue Response Selection
Response selection plays a vital role in building retrieval-based conver...
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08/03/2019
CARL: Aggregated Search with Context-Aware Module Embedding Learning
Aggregated search aims to construct search result pages (SERPs) from blu...
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07/30/2018