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09/21/2023
AceGPT, Localizing Large Language Models in Arabic
This paper explores the imperative need and methodology for developing a...
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08/21/2023
Large Language Model as a User Simulator
The unparalleled performance of closed-sourced ChatGPT has sparked effor...
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08/17/2023
CMB: A Comprehensive Medical Benchmark in Chinese
Large Language Models (LLMs) provide a possibility to make a great break...
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06/06/2023
On the Difference of BERT-style and CLIP-style Text Encoders
Masked language modeling (MLM) has been one of the most popular pretrain...
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06/06/2023
A Survey of Quantum-Cognitively Inspired Sentiment Analysis Models
Quantum theory, originally proposed as a physical theory to describe the...
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05/24/2023
HuatuoGPT, towards Taming Language Model to Be a Doctor
In this paper, we present HuatuoGPT, a large language model (LLM) for me...
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05/24/2023
Injecting Knowledge into Biomedical Pre-trained Models via Polymorphism and Synonymous Substitution
Pre-trained language models (PLMs) were considered to be able to store r...
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05/23/2023
Is Information Extraction Solved by ChatGPT? An Analysis of Performance, Evaluation Criteria, Robustness and Errors
ChatGPT has stimulated the research boom in the field of large language ...
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05/20/2023
Lifting the Curse of Capacity Gap in Distilling Language Models
Pretrained language models (LMs) have shown compelling performance on va...
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05/10/2023
Word Grounded Graph Convolutional Network
Graph Convolutional Networks (GCNs) have shown strong performance in lea...
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05/02/2023
Huatuo-26M, a Large-scale Chinese Medical QA Dataset
In this paper, we release a largest ever medical Question Answering (QA)...
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04/20/2023
Phoenix: Democratizing ChatGPT across Languages
This paper presents our efforts to democratize ChatGPT across language. ...
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04/20/2023
Effective Open Intent Classification with K-center Contrastive Learning and Adjustable Decision Boundary
Open intent classification, which aims to correctly classify the known i...
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04/18/2023
A Survey on Biomedical Text Summarization with Pre-trained Language Model
The exponential growth of biomedical texts such as biomedical literature...
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03/26/2023
Nature Language Reasoning, A Survey
This survey paper proposes a clearer view of natural language reasoning ...
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03/23/2023
Modular Retrieval for Generalization and Interpretation
New retrieval tasks have always been emerging, thus urging the developme...
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02/17/2023
Towards Unifying Medical Vision-and-Language Pre-training via Soft Prompts
Medical vision-and-language pre-training (Med-VLP) has shown promising i...
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12/20/2022
Document-level Relation Extraction with Relation Correlations
Document-level relation extraction faces two overlooked challenges: long...
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10/27/2022
MorphTE: Injecting Morphology in Tensorized Embeddings
In the era of deep learning, word embeddings are essential when dealing ...
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09/23/2022
Spatio-Temporal Contrastive Learning Enhanced GNNs for Session-based Recommendation
Session-based recommendation (SBR) systems aim to utilize the user's sho...
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08/24/2022
DPTDR: Deep Prompt Tuning for Dense Passage Retrieval
Deep prompt tuning (DPT) has gained great success in most natural langua...
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07/20/2022
Doge Tickets: Uncovering Domain-general Language Models by Playing Lottery Tickets
Over-parameterized models, typically pre-trained language models (LMs), ...
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07/02/2022
Can Language Models Make Fun? A Case Study in Chinese Comical Crosstalk
Language is the principal tool for human communication, in which humor i...
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10/11/2021
Pre-trained Language Models in Biomedical Domain: A Systematic Survey
Pre-trained language models (PLMs) have been the de facto paradigm for m...
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10/26/2020
Meta-Learning for Neural Relation Classification with Distant Supervision
Distant supervision provides a means to create a large number of weakly ...
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10/04/2020
A Multi-task Learning Framework for Opinion Triplet Extraction
The state-of-the-art Aspect-based Sentiment Analysis (ABSA) approaches a...
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12/27/2019
Encoding word order in complex embeddings
Sequential word order is important when processing text. Currently, neur...
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04/10/2019
CNM: An Interpretable Complex-valued Network for Matching
This paper seeks to model human language by the mathematical framework o...
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02/26/2019
Semantic Hilbert Space for Text Representation Learning
Capturing the meaning of sentences has long been a challenging task. Cur...
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08/28/2018
A Quantum Many-body Wave Function Inspired Language Modeling Approach
The recently proposed quantum language model (QLM) aimed at a principled...
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05/29/2018
Quantum-inspired Complex Word Embedding
A challenging task for word embeddings is to capture the emergent meanin...
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02/10/2018