Yongkang Liu
17 papers · 2018–2026 · 7 conferences · across top CS/AI conferences
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Keywords
parameter-efficient fine-tuning
(3)
full-parameter fine-tuning
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response selection
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dialogue generation
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dialogue system
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variational inference
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benchmark evaluation
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zero-shot learning
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multilingual nlp
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attention mechanism
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data augmentation
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cross-lingual transfer
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sample efficiency
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response generation
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autonomous driving
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self-supervised learning
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code generation
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adversarial training
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model merging
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multimodal learning
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Papers
SAFE-QAQ: End-to-End Slow-Thinking Audio-Text Fraud Detection via Reinforcement Learning
ACL 2026
Look Within or Beyond? A Theoretical Comparison Between Parameter-Efficient and Full Fine-Tuning
ACL 2026
Why Do More Experts Fail? A Theoretical Analysis of Model Merging
ACL 2026
SAD: A Large-Scale Strategic Argumentative Dialogue Dataset
ACL 2026
MamBEV: Enabling State Space Models to Learn Birds-Eye-View Representations
ICLR 2025
DASR: Distributed Adaptive Scene Recognition - A Multi-Agent Cloud-Edge Framework for Language-Guided Scene Detection
EMNLP 2025
SolEval: Benchmarking Large Language Models for Repository-level Solidity Smart Contract Generation
EMNLP 2025
Pixel-Level Reasoning Segmentation via Multi-turn Conversations
ACL 2025
MUSE: A Multimodal Conversational Recommendation Dataset with Scenario-Grounded User Profiles
ACL 2025
SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model
NAACL 2025
HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy
EMNLP 2024
Continual Vision-based Reinforcement Learning with Group Symmetries
CORL 2023
PVGRU: Generating Diverse and Relevant Dialogue Responses via Pseudo-Variational Mechanism
ACL 2023
DialogConv: A Lightweight Fully Convolutional Network for Multi-view Response Selection
EMNLP 2022
MulZDG: Multilingual Code-Switching Framework for Zero-shot Dialogue Generation
COLING 2022
A Graph Reasoning Network for Multi-turn Response Selection via Customized Pre-training
AAAI 2021
Neural Relation Classification with Text Descriptions
COLING 2018