Search Results for author: Minjun Zhu

Found 7 papers, 3 papers with code

Knowledge Transfer with Visual Prompt in multi-modal Dialogue Understanding and Generation

no code implementations TU (COLING) 2022 Minjun Zhu, Yixuan Weng, Bin Li, Shizhu He, Kang Liu, Jun Zhao

In this work, we propose a knowledge transfer method with visual prompt (VPTG) fusing multi-modal data, which is a flexible module that can utilize the text-only seq2seq model to handle visual dialogue tasks.

Dialogue Understanding Knowledge Distillation +2

A Knowledge storage and semantic space alignment Method for Multi-documents dialogue generation

no code implementations dialdoc (ACL) 2022 Minjun Zhu, Bin Li, Yixuan Weng, Fei Xia

Question Answering (QA) is a Natural Language Processing (NLP) task that can measure language and semantics understanding ability, it requires a system not only to retrieve relevant documents from a large number of articles but also to answer corresponding questions according to documents.

Dialogue Generation Language Modelling +3

Towards Graph-hop Retrieval and Reasoning in Complex Question Answering over Textual Database

no code implementations23 May 2023 Minjun Zhu, Yixuan Weng, Shizhu He, Kang Liu, Jun Zhao

In Textual question answering (TQA) systems, complex questions often require retrieving multiple textual fact chains with multiple reasoning steps.

Question Answering Retrieval

Large Language Models Need Holistically Thought in Medical Conversational QA

1 code implementation9 May 2023 Yixuan Weng, Bin Li, Fei Xia, Minjun Zhu, Bin Sun, Shizhu He, Kang Liu, Jun Zhao

The medical conversational question answering (CQA) system aims at providing a series of professional medical services to improve the efficiency of medical care.

Conversational Question Answering

Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks

3 code implementations4 Apr 2023 Yixuan Weng, Minjun Zhu, Fei Xia, Bin Li, Shizhu He, Kang Liu, Jun Zhao

Our work highlights the potential of seamlessly unifying explicit rule learning via CoNNs and implicit pattern learning in LMs, paving the way for true symbolic comprehension capabilities.

Arithmetic Reasoning Language Modelling

Large Language Models are Better Reasoners with Self-Verification

1 code implementation19 Dec 2022 Yixuan Weng, Minjun Zhu, Fei Xia, Bin Li, Shizhu He, Shengping Liu, Bin Sun, Kang Liu, Jun Zhao

By performing a backward verification of the answers that LLM deduced for itself, we can obtain interpretable answer validation scores to select the candidate answer with the highest score.

Arithmetic Reasoning Common Sense Reasoning +3

ReasonChainQA: Text-based Complex Question Answering with Explainable Evidence Chains

no code implementations17 Oct 2022 Minjun Zhu, Yixuan Weng, Shizhu He, Kang Liu, Jun Zhao

Recently, natural language database (NLDB) conducts complex QA in knowledge base with textual evidences rather than structured representations, this task attracts a lot of attention because of the flexibility and richness of textual evidence.

Answer Generation Question Answering +1

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