Search Results for author: Dangyang Chen

Found 20 papers, 11 papers with code

UniQ: Unified Decoder with Task-specific Queries for Efficient Scene Graph Generation

no code implementations10 Jan 2025 Xinyao Liao, Wei Wei, Dangyang Chen, Yuanyuan Fu

In this paper, we introduce UniQ, a Unified decoder with task-specific Queries architecture, where task-specific queries generate decoupled visual features for subjects, objects, and predicates respectively, and unified decoder enables coupled feature modeling within relational triplets.

Decoder Graph Generation +4

Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging

1 code implementation17 Jun 2024 Zhenyi Lu, Chenghao Fan, Wei Wei, Xiaoye Qu, Dangyang Chen, Yu Cheng

In view of this, we propose Twin-Merging, a method that encompasses two principal stages: (1) modularizing knowledge into shared and exclusive components, with compression to reduce redundancy and enhance efficiency; (2) dynamically merging shared and task-specific knowledge based on the input.

On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion

no code implementations17 Jun 2024 Chenghao Fan, Zhenyi Lu, Wei Wei, Jie Tian, Xiaoye Qu, Dangyang Chen, Yu Cheng

\thm{Can we fine-tune a series of task-specific small models and transfer their knowledge directly to a much larger model without additional training?}

In-Context Learning Task Arithmetic +1

Mitigating Boundary Ambiguity and Inherent Bias for Text Classification in the Era of Large Language Models

1 code implementation11 Jun 2024 Zhenyi Lu, Jie Tian, Wei Wei, Xiaoye Qu, Yu Cheng, Wenfeng Xie, Dangyang Chen

Our approach is grounded in the empirical observation that pairwise comparisons can effectively alleviate boundary ambiguity and inherent bias.

text-classification Text Classification

Personalized Topic Selection Model for Topic-Grounded Dialogue

no code implementations4 Jun 2024 Shixuan Fan, Wei Wei, Xiaofei Wen, Xianling Mao, Jixiong Chen, Dangyang Chen

Recently, the topic-grounded dialogue (TGD) system has become increasingly popular as its powerful capability to actively guide users to accomplish specific tasks through topic-guided conversations.

Contrastive Learning model

Position Debiasing Fine-Tuning for Causal Perception in Long-Term Dialogue

no code implementations4 Jun 2024 Shixuan Fan, Wei Wei, Wendi Li, Xian-Ling Mao, Wenfeng Xie, Dangyang Chen

The core of the dialogue system is to generate relevant, informative, and human-like responses based on extensive dialogue history.

Dialogue Generation Position +2

Reinforcement Learning with Token-level Feedback for Controllable Text Generation

1 code implementation18 Mar 2024 Wendi Li, Wei Wei, Kaihe Xu, Wenfeng Xie, Dangyang Chen, Yu Cheng

To meet the requirements of real-world applications, it is essential to control generations of large language models (LLMs).

Attribute reinforcement-learning +4

Detection-based Intermediate Supervision for Visual Question Answering

no code implementations26 Dec 2023 Yuhang Liu, Daowan Peng, Wei Wei, Yuanyuan Fu, Wenfeng Xie, Dangyang Chen

Recently, neural module networks (NMNs) have yielded ongoing success in answering compositional visual questions, especially those involving multi-hop visual and logical reasoning.

cross-modal alignment Logical Reasoning +2

Enhancing Low-Resource Relation Representations through Multi-View Decoupling

1 code implementation26 Dec 2023 Chenghao Fan, Wei Wei, Xiaoye Qu, Zhenyi Lu, Wenfeng Xie, Yu Cheng, Dangyang Chen

Recently, prompt-tuning with pre-trained language models (PLMs) has demonstrated the significantly enhancing ability of relation extraction (RE) tasks.

Relation Relation Extraction +1

MIRACLE: Towards Personalized Dialogue Generation with Latent-Space Multiple Personal Attribute Control

1 code implementation22 Oct 2023 Zhenyi Lu, Wei Wei, Xiaoye Qu, Xianling Mao, Dangyang Chen, Jixiong Chen

Subsequently, we employ a conditional variational auto-encoder to align with the dense personalized responses within a latent joint attribute space.

Attribute Dialogue Generation +1

Multi-view Hypergraph Contrastive Policy Learning for Conversational Recommendation

1 code implementation26 Jul 2023 Sen Zhao, Wei Wei, Xian-Ling Mao, Shuai Zhu, Minghui Yang, Zujie Wen, Dangyang Chen, Feida Zhu

Specifically, MHCPL timely chooses useful social information according to the interactive history and builds a dynamic hypergraph with three types of multiplex relations from different views.

Conversational Recommendation Recommendation Systems

TREA: Tree-Structure Reasoning Schema for Conversational Recommendation

1 code implementation20 Jul 2023 Wendi Li, Wei Wei, Xiaoye Qu, Xian-Ling Mao, Ye Yuan, Wenfeng Xie, Dangyang Chen

TREA constructs a multi-hierarchical scalable tree as the reasoning structure to clarify the causal relationships between mentioned entities, and fully utilizes historical conversations to generate more reasonable and suitable responses for recommended results.

Conversational Recommendation Knowledge Graphs +1

An Empirical Study on the Language Modal in Visual Question Answering

no code implementations17 May 2023 Daowan Peng, Wei Wei, Xian-Ling Mao, Yuanyuan Fu, Dangyang Chen

Generalization beyond in-domain experience to out-of-distribution data is of paramount significance in the AI domain.

Question Answering Visual Question Answering

STAGE: Span Tagging and Greedy Inference Scheme for Aspect Sentiment Triplet Extraction

1 code implementation28 Nov 2022 Shuo Liang, Wei Wei, Xian-Ling Mao, Yuanyuan Fu, Rui Fang, Dangyang Chen

Hence, we propose a novel approach, Span TAgging and Greedy infErence (STAGE), to extract sentiment triplets in span-level, where each span may consist of multiple words and play different roles simultaneously.

Aspect Sentiment Triplet Extraction Sentence +2

HCL-TAT: A Hybrid Contrastive Learning Method for Few-shot Event Detection with Task-Adaptive Threshold

no code implementations17 Oct 2022 Ruihan Zhang, Wei Wei, Xian-Ling Mao, Rui Fang, Dangyang Chen

Conventional event detection models under supervised learning settings suffer from the inability of transfer to newly-emerged event types owing to lack of sufficient annotations.

Contrastive Learning Event Detection +2

Multi-level Contrastive Learning Framework for Sequential Recommendation

no code implementations27 Aug 2022 Ziyang Wang, Huoyu Liu, Wei Wei, Yue Hu, Xian-Ling Mao, Shaojian He, Rui Fang, Dangyang Chen

Different from the previous contrastive learning-based methods for SR, MCLSR learns the representations of users and items through a cross-view contrastive learning paradigm from four specific views at two different levels (i. e., interest- and feature-level).

Contrastive Learning Relation +1

Improving Personality Consistency in Conversation by Persona Extending

1 code implementation23 Aug 2022 Yifan Liu, Wei Wei, Jiayi Liu, Xianling Mao, Rui Fang, Dangyang Chen

Endowing chatbots with a consistent personality plays a vital role for agents to deliver human-like interactions.

Chatbot Natural Language Inference +1

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