Search Results for author: Junqi Dai

Found 9 papers, 9 papers with code

AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling

1 code implementation19 Feb 2024 Jun Zhan, Junqi Dai, Jiasheng Ye, Yunhua Zhou, Dong Zhang, Zhigeng Liu, Xin Zhang, Ruibin Yuan, Ge Zhang, Linyang Li, Hang Yan, Jie Fu, Tao Gui, Tianxiang Sun, Yugang Jiang, Xipeng Qiu

We introduce AnyGPT, an any-to-any multimodal language model that utilizes discrete representations for the unified processing of various modalities, including speech, text, images, and music.

Language Modelling Large Language Model

Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication

1 code implementation4 Dec 2023 Zhangyue Yin, Qiushi Sun, Cheng Chang, Qipeng Guo, Junqi Dai, Xuanjing Huang, Xipeng Qiu

Large Language Models (LLMs) have recently made significant strides in complex reasoning tasks through the Chain-of-Thought technique.

Language Modelling Large Language Model

Character-LLM: A Trainable Agent for Role-Playing

1 code implementation16 Oct 2023 Yunfan Shao, Linyang Li, Junqi Dai, Xipeng Qiu

Large language models (LLMs) can be used to serve as agents to simulate human behaviors, given the powerful ability to understand human instructions and provide high-quality generated texts.

Dialogue Meaning Representation for Task-Oriented Dialogue Systems

1 code implementation23 Apr 2022 Xiangkun Hu, Junqi Dai, Hang Yan, Yi Zhang, Qipeng Guo, Xipeng Qiu, Zheng Zhang

We propose Dialogue Meaning Representation (DMR), a pliable and easily extendable representation for task-oriented dialogue.

coreference-resolution Negation +1

CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation

1 code implementation13 Sep 2021 Yunfan Shao, Zhichao Geng, Yitao Liu, Junqi Dai, Hang Yan, Fei Yang, Li Zhe, Hujun Bao, Xipeng Qiu

In this paper, we take the advantage of previous pre-trained models (PTMs) and propose a novel Chinese Pre-trained Unbalanced Transformer (CPT).

Decoder Denoising +4

A Unified Generative Framework for Various NER Subtasks

1 code implementation ACL 2021 Hang Yan, Tao Gui, Junqi Dai, Qipeng Guo, Zheng Zhang, Xipeng Qiu

To that end, we propose to formulate the NER subtasks as an entity span sequence generation task, which can be solved by a unified sequence-to-sequence (Seq2Seq) framework.

named-entity-recognition Named Entity Recognition +2

ExplainaBoard: An Explainable Leaderboard for NLP

1 code implementation ACL 2021 PengFei Liu, Jinlan Fu, Yang Xiao, Weizhe Yuan, Shuaicheng Chang, Junqi Dai, Yixin Liu, Zihuiwen Ye, Zi-Yi Dou, Graham Neubig

In this paper, we present a new conceptualization and implementation of NLP evaluation: the ExplainaBoard, which in addition to inheriting the functionality of the standard leaderboard, also allows researchers to (i) diagnose strengths and weaknesses of a single system (e. g.~what is the best-performing system bad at?)

Machine Translation

Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa

1 code implementation NAACL 2021 Junqi Dai, Hang Yan, Tianxiang Sun, PengFei Liu, Xipeng Qiu

In this paper, we firstly compare the induced trees from PTMs and the dependency parsing trees on several popular models for the ABSA task, showing that the induced tree from fine-tuned RoBERTa (FT-RoBERTa) outperforms the parser-provided tree.

Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +1

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