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09/09/2023
MMHQA-ICL: Multimodal In-context Learning for Hybrid Question Answering over Text, Tables and Images
In the real world, knowledge often exists in a multimodal and heterogene...
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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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01/07/2023
Knowledge Reasoning via Jointly Modeling Knowledge Graphs and Soft Rules
Knowledge graphs (KGs) play a crucial role in many applications, such as...
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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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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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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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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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08/10/2021
Lifelong Intent Detection via Multi-Strategy Rebalancing
Conventional Intent Detection (ID) models are usually trained offline, w...
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05/27/2021
Path-based knowledge reasoning with textual semantic information for medical knowledge graph completion
Background Knowledge graphs (KGs), especially medical knowledge graphs, ...
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10/12/2020
Pre-trained Language Model Based Active Learning for Sentence Matching
Active learning is able to significantly reduce the annotation cost for ...
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10/29/2019
Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss
We tackle the task of question generation over knowledge bases. Conventi...
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10/29/2019
Incorporating Interlocutor-Aware Context into Response Generation on Multi-Party Chatbots
Conventional chatbots focus on two-party response generation, which simp...
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08/21/2019
Copy-Enhanced Heterogeneous Information Learning for Dialogue State Tracking
Dialogue state tracking (DST) is an essential component in task-oriented...
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06/03/2016