Zhengyu Chen
27 papers · 2021–2026 · 9 venues · across top CS/AI venues
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large language model
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self-supervised learning
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data quality
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few-shot learning
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domain generalization
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scaling law
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knowledge distillation
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image restoration
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Papers
Dual-Teacher Interactive Knowledge Distillation Network for Text-to-Visible & Infrared Person Retrieval
AAAI 2026
From Mathematical Reasoning to Code: Generalization of Process Reward Models in Test-Time Scaling
AAAI 2026
Mitigating Structural Knowledge Collapse in Domain-Specific LLMs via Morpheme-Aware KV-Aggregation
ACL 2026
Scaling and Transferability of Annealing Strategies in Large Language Model Training
AAAI 2026
Attributive Reasoning for Hallucination Diagnosis of Large Language Models
AAAI 2025
Explaining Length Bias in LLM-Based Preference Evaluations
EMNLP 2025
Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace
ICLR 2025
On a Connection Between Imitation Learning and RLHF
ICLR 2025
Revisiting Scaling Laws for Language Models: The Role of Data Quality and Training Strategies
ACL 2025
SampleMix: A Sample-wise Pre-training Data Mixing Strategy by Coordinating Data Quality and Diversity
EMNLP 2025
SimPER: A Minimalist Approach to Preference Alignment without Hyperparameters
ICLR 2025
DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation
NeurIPS 2024
FinBen: A Holistic Financial Benchmark for Large Language Models
NeurIPS 2024
HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection
NeurIPS 2024
Learning to Reweight for Generalizable Graph Neural Network
AAAI 2024
Let Models Speak Ciphers: Multiagent Debate through Embeddings
ICLR 2024
Letβs Ask GNN: Empowering Large Language Model for Graph In-Context Learning
EMNLP 2024
Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models
EMNLP 2024
MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization
EMNLP 2023
MAP: Towards Balanced Generalization of IID and OOD through Model-Agnostic Adapters
ICCV 2023
Simple and Asymmetric Graph Contrastive Learning without Augmentations
NeurIPS 2023
Decoupled Self-supervised Learning for Graphs
NeurIPS 2022
End-to-End Open-Set Semi-Supervised Node Classification with Out-of-Distribution Detection
IJCAI 2022
Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning
AAAI 2022
The Role of Deconfounding in Meta-learning
ICML 2022
Deep Transfer Tensor Decomposition with Orthogonal Constraint for Recommender Systems
AAAI 2021
Pareto Self-Supervised Training for Few-Shot Learning
CVPR 2021