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08/20/2023
LMTuner: An user-friendly and highly-integrable Training Framework for fine-tuning Large Language Models
With the burgeoning development in the realm of large language models (L...
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05/23/2023
Towards Graph-hop Retrieval and Reasoning in Complex Question Answering over Textual Database
In Textual question answering (TQA) systems, complex questions often req...
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05/09/2023
Large Language Models Need Holistically Thought in Medical Conversational QA
The medical conversational question answering (CQA) system aims at provi...
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04/04/2023
Neural Comprehension: Language Models with Compiled Neural Networks
Language models have achieved impressive results in natural language pro...
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12/19/2022
Large Language Models are reasoners with Self-Verification
When a large language model (LLM) performs complex reasoning by chain of...
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12/10/2022
Artificial Text Detection with Multiple Training Strategies
As the deep learning rapidly promote, the artificial texts created by ge...
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10/26/2022
Visual Answer Localization with Cross-modal Mutual Knowledge Transfer
The goal of visual answering localization (VAL) in the video is to obtai...
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10/17/2022
ReasonChainQA: Text-based Complex Question Answering with Explainable Evidence Chains
The ability of reasoning over evidence has received increasing attention...
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10/11/2022
Learning to Locate Visual Answer in Video Corpus Using Question
We introduce a new task, named video corpus visual answer localization (...
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07/05/2022
Scene-Aware Prompt for Multi-modal Dialogue Understanding and Generation
This paper introduces the schemes of Team LingJing's experiments in NLPC...
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04/20/2022
LingYi: Medical Conversational Question Answering System based on Multi-modal Knowledge Graphs
The medical conversational system can relieve the burden of doctors and ...
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04/09/2022
Towards Better Chinese-centric Neural Machine Translation for Low-resource Languages
The last decade has witnessed enormous improvements in science and techn...
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03/23/2022
Prompt-based Pre-trained Model for Personality and Interpersonal Reactivity Prediction
This paper describes the LingJing team's method to the Workshop on Compu...
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03/13/2022
Towards Visual-Prompt Temporal Answering Grounding in Medical Instructional Video
The temporal answering grounding in the video (TAGV) is a new task natur...
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12/08/2021
ADBCMM : Acronym Disambiguation by Building Counterfactuals and Multilingual Mixing
Scientific documents often contain a large number of acronyms. Disambigu...
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11/29/2021
SimCLAD: A Simple Framework for Contrastive Learning of Acronym Disambiguation
Acronym disambiguation means finding the correct meaning of an ambiguous...
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11/29/2021
PSG: Prompt-based Sequence Generation for Acronym Extraction
Acronym extraction aims to find acronyms (i.e., short-forms) and their m...
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08/03/2021