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09/11/2023
From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery
Molecule discovery serves as a cornerstone in numerous scientific domain...
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09/08/2023
The CALLA Dataset: Probing LLMs' Interactive Knowledge Acquisition from Chinese Medical Literature
The application of Large Language Models (LLMs) to the medical domain ha...
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09/08/2023
Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Reliable Response Generation in Chinese
Large Language Models (LLMs) have demonstrated remarkable success in div...
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09/08/2023
Manifold-based Verbalizer Space Re-embedding for Tuning-free Prompt-based Classification
Prompt-based classification adapts tasks to a cloze question format util...
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09/08/2023
GLS-CSC: A Simple but Effective Strategy to Mitigate Chinese STM Models' Over-Reliance on Superficial Clue
Pre-trained models have achieved success in Chinese Short Text Matching ...
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07/06/2023
UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language
Decoding text stimuli from cognitive signals (e.g. fMRI) enhances our un...
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04/14/2023
HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledge
Large Language Models (LLMs), such as the LLaMA model, have demonstrated...
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04/12/2023
Global Prompt Cell: A Portable Control Module for Effective Prompt
As a novel approach to tuning pre-trained models, prompt tuning involves...
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09/14/2022
Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words
Prompt-based fine-tuning for pre-trained models has proven effective for...
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07/04/2022
VEM^2L: A Plug-and-play Framework for Fusing Text and Structure Knowledge on Sparse Knowledge Graph Completion
Knowledge Graph Completion has been widely studied recently to complete ...
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05/25/2022
Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation
Many recent works indicate that the deep neural networks tend to take da...
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12/02/2020
Biomedical Knowledge Graph Refinement with Embedding and Logic Rules
Currently, there is a rapidly increasing need for high-quality biomedica...
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10/08/2020
Injecting Word Information with Multi-Level Word Adapter for Chinese Spoken Language Understanding
Intent detection and slot filling are two closely related tasks for buil...
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10/08/2020
A Co-Interactive Transformer for Joint Slot Filling and Intent Detection
Intent detection and slot filling are two main tasks for building a spok...
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11/11/2019
Interactive Attention for Semantic Text Matching
Semantic text matching, which matches a target text to a source text, is...
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11/02/2019
GRAPHENE: A Precise Biomedical Literature Retrieval Engine with Graph Augmented Deep Learning and External Knowledge Empowerment
Effective biomedical literature retrieval (BLR) plays a central role in ...
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03/08/2019
Towards Time-Aware Distant Supervision for Relation Extraction
Distant supervision for relation extraction heavily suffers from the wro...
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12/14/2018
A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization
State-of-the-art studies have demonstrated the superiority of joint mode...
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06/26/2018
