Search Results for author:
Found 7 papers, 2 papers with code
DeepSeek LLM: Scaling Open-Source Language Models with Longtermism
The rapid development of open-source large language models (LLMs) has been truly remarkable.
CPS-MEBR: Click Feedback-Aware Web Page Summarization for Multi-Embedding-Based Retrieval
Meanwhile, we introduce sentence-level semantic interaction to design a multi-embedding-based retrieval (MEBR) model, which can generate multiple embeddings to deal with different potential queries by using frequently clicked sentences in web pages.
Question-type Driven Question Generation
Question generation is a challenging task which aims to ask a question based on an answer and relevant context.
Multi-Task Learning with Language Modeling for Question Generation
This paper explores the task of answer-aware questions generation.
Learning Universal Sentence Representations with Mean-Max Attention Autoencoder
In the encoding we propose a mean-max strategy that applies both mean and max pooling operations over the hidden vectors to capture diverse information of the input.
An Unsupervised Model with Attention Autoencoders for Question Retrieval
In this paper, we propose a novel unsupervised framework, namely reduced attentive matching network (RAMN), to compute semantic matching between two questions.
