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09/21/2023
InstructERC: Reforming Emotion Recognition in Conversation with a Retrieval Multi-task LLMs Framework
The development of emotion recognition in dialogue (ERC) has been consis...
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08/28/2023
Bridging the KB-Text Gap: Leveraging Structured Knowledge-aware Pre-training for KBQA
Knowledge Base Question Answering (KBQA) aims to answer natural language...
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08/25/2023
Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question Answering
Equipped with Chain-of-Thought (CoT), Large language models (LLMs) have ...
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06/14/2023
T5-SR: A Unified Seq-to-Seq Decoding Strategy for Semantic Parsing
Translating natural language queries into SQLs in a seq2seq manner has a...
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02/24/2023
Time-aware Multiway Adaptive Fusion Network for Temporal Knowledge Graph Question Answering
Knowledge graphs (KGs) have received increasing attention due to its wid...
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11/06/2022
Robust Lottery Tickets for Pre-trained Language Models
Recent works on Lottery Ticket Hypothesis have shown that pre-trained la...
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10/22/2022
PATS: Sensitivity-aware Noisy Learning for Pretrained Language Models
A wide range of NLP tasks benefit from the fine-tuning of pretrained lan...
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10/16/2022
Improving Semantic Matching through Dependency-Enhanced Pre-trained Model with Adaptive Fusion
Transformer-based pre-trained models like BERT have achieved great progr...
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10/07/2022
DABERT: Dual Attention Enhanced BERT for Semantic Matching
Transformer-based pre-trained language models such as BERT have achieved...
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08/31/2022
Let Me Check the Examples: Enhancing Demonstration Learning via Explicit Imitation
Demonstration learning aims to guide the prompt prediction via providing...
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06/07/2022
Searching for Optimal Subword Tokenization in Cross-domain NER
Input distribution shift is one of the vital problems in unsupervised do...
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03/08/2022
InstructionNER: A Multi-Task Instruction-Based Generative Framework for Few-shot NER
Recently, prompt-based methods have achieved significant performance in ...
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12/16/2021
Pay More Attention to History: A Context Modeling Strategy for Conversational Text-to-SQL
Conversational text-to-SQL aims at converting multi-turn natural languag...
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09/13/2021
Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models
Recent works have shown that powerful pre-trained language models (PLM) ...
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05/25/2021
ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer
Learning high-quality sentence representations benefits a wide range of ...
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08/19/2020
Leveraging Historical Interaction Data for Improving Conversational Recommender System
Recently, conversational recommender system (CRS) has become an emerging...
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08/18/2020
S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization
Recently, significant progress has been made in sequential recommendatio...
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08/05/2020