Search Results for author: Weizhou Shen

Found 11 papers, 11 papers with code

Mobile-Agent: Autonomous Multi-Modal Mobile Device Agent with Visual Perception

1 code implementation29 Jan 2024 Junyang Wang, Haiyang Xu, Jiabo Ye, Ming Yan, Weizhou Shen, Ji Zhang, Fei Huang, Jitao Sang

To assess the performance of Mobile-Agent, we introduced Mobile-Eval, a benchmark for evaluating mobile device operations.

Small LLMs Are Weak Tool Learners: A Multi-LLM Agent

1 code implementation14 Jan 2024 Weizhou Shen, Chenliang Li, Hongzhan Chen, Ming Yan, Xiaojun Quan, Hehong Chen, Ji Zhang, Fei Huang

Each component is implemented by a single LLM that focuses on a specific capability and collaborates with others to accomplish the task.

Language Modelling Large Language Model

Retrieval-Generation Alignment for End-to-End Task-Oriented Dialogue System

1 code implementation13 Oct 2023 Weizhou Shen, Yingqi Gao, Canbin Huang, Fanqi Wan, Xiaojun Quan, Wei Bi

The results demonstrate that when combined with meta knowledge, the response generator can effectively leverage high-quality knowledge records from the retriever and enhance the quality of generated responses.

Response Generation Retrieval +1

ModelScope-Agent: Building Your Customizable Agent System with Open-source Large Language Models

1 code implementation2 Sep 2023 Chenliang Li, Hehong Chen, Ming Yan, Weizhou Shen, Haiyang Xu, Zhikai Wu, Zhicheng Zhang, Wenmeng Zhou, Yingda Chen, Chen Cheng, Hongzhu Shi, Ji Zhang, Fei Huang, Jingren Zhou

Large language models (LLMs) have recently demonstrated remarkable capabilities to comprehend human intentions, engage in reasoning, and design planning-like behavior.

Multi-Grained Knowledge Retrieval for End-to-End Task-Oriented Dialog

1 code implementation17 May 2023 Fanqi Wan, Weizhou Shen, Ke Yang, Xiaojun Quan, Wei Bi

Retrieving proper domain knowledge from an external database lies at the heart of end-to-end task-oriented dialog systems to generate informative responses.

Attribute Response Generation +1

Generic Dependency Modeling for Multi-Party Conversation

1 code implementation21 Feb 2023 Weizhou Shen, Xiaojun Quan, Ke Yang

To model the dependencies between utterances in multi-party conversations, we propose a simple and generic framework based on the dependency parsing results of utterances.

Dependency Parsing

Joint Generator-Ranker Learning for Natural Language Generation

2 code implementations28 Jun 2022 Weizhou Shen, Yeyun Gong, Yelong Shen, Song Wang, Xiaojun Quan, Nan Duan, Weizhu Chen

Generate-then-rank is a widely used mechanism for text generation, where a generator produces multiple text candidates and a ranker chooses the best one among the text candidates.

Question Generation Question-Generation +2

Directed Acyclic Graph Network for Conversational Emotion Recognition

1 code implementation ACL 2021 Weizhou Shen, Siyue Wu, Yunyi Yang, Xiaojun Quan

In this paper, we put forward a novel idea of encoding the utterances with a directed acyclic graph (DAG) to better model the intrinsic structure within a conversation, and design a directed acyclic neural network, namely DAG-ERC, to implement this idea.

Emotion Recognition in Conversation

DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognition

4 code implementations16 Dec 2020 Weizhou Shen, Junqing Chen, Xiaojun Quan, Zhixian Xie

Specifically, we first modify the recurrence mechanism of XLNet from segment-level to utterance-level in order to better model the conversational data.

Emotion Recognition in Conversation

Constituency Lattice Encoding for Aspect Term Extraction

1 code implementation COLING 2020 Yunyi Yang, Kun Li, Xiaojun Quan, Weizhou Shen, Qinliang Su

One of the remaining challenges for aspect term extraction in sentiment analysis resides in the extraction of phrase-level aspect terms, which is non-trivial to determine the boundaries of such terms.

Aspect Term Extraction and Sentiment Classification Sentence +1

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