Minghui Qiu

Learning to Expand: Reinforced Pseudo-relevance Feedback Selection for Information-seeking Conversations

2020 · arXiv (Cornell University)

Information-seeking conversation systems are increasingly popular in real-world applications, especially for e-commerce companies. To retrieve appropriate responses for users, it is necessary to compute the matching degrees between candidate responses and users' queries with historical …

KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification

2020 · arXiv (Cornell University)

Lexical relations describe how concepts are semantically related, in the form of relation triples. The accurate prediction of lexical relations between concepts is challenging, due to the sparsity of patterns indicating the existence of such …

Knowledge Prompting in Pre-trained Language Model for Natural Language Understanding

2022 · arXiv (Cornell University)

Knowledge-enhanced Pre-trained Language Model (PLM) has recently received significant attention, which aims to incorporate factual knowledge into PLMs. However, most existing methods modify the internal structures of fixed types of PLMs by stacking complicated modules, …

GThinker: Towards General Multimodal Reasoning via Cue-Guided Rethinking

2025 · arXiv (Cornell University)

Despite notable advancements in multimodal reasoning, leading Multimodal Large Language Models (MLLMs) still underperform on vision-centric multimodal reasoning tasks in general scenarios. This shortfall stems from their predominant reliance on logic- and knowledge-based slow thinking …

AliMe Chat: A Sequence to Sequence and Rerank based Chatbot Engine

2017

Minghui Qiu, Feng-Lin Li, Siyu Wang, Xing Gao, Yan Chen, Weipeng Zhao, Haiqing Chen, Jun Huang, Wei Chu. Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). 2017.

Modelling Domain Relationships for Transfer Learning on Retrieval-based Question Answering Systems in E-commerce

2018

Nowadays, it is a heated topic for many industries to build automatic question-answering (QA) systems. A key solution to these QA systems is to retrieve from a QA knowledge base the most similar question of …

Global Context Enhanced Graph Neural Networks for Session-based Recommendation

2020

Session-based recommendation (SBR) is a challenging task, which aims at recommending items based on anonymous behavior sequences. Almost all the existing solutions for SBR model user preference only based on the current session without exploiting …