Zhe Zhao

RedCoder: Automated Multi-Turn Red Teaming for Code LLMs ACL 2026 DUAL RM: Beyond Rule-based Preference Reward Modeling via Meta-Reward ACL 2026 Automating Android Build Repair: Bridging the Reasoning-Execution Gap in LLM Agents with Domain-Specific Tools EACL 2026 Rethinking Crystal Symmetry Prediction: A Decoupled Perspective AAAI 2026 Learning Dynamics as Feedback: An Adaptive Entropy Flow Dynamics Framework for Long-tailed Human Action Recognition AAAI 2026 Bloom-Eval: A Hierarchical Evaluation Benchmark for Automatic Survey Generation Based on Bloom’s Taxonomy ACL 2026 Causal Learning Meet Covariates: Empowering Lightweight and Effective Nationwide Air Quality Forecasting IJCAI 2025 Training Verification-Friendly Neural Networks via Neuron Behavior Consistency AAAI 2025 Joint Knowledge Editing for Information Enrichment and Probability Promotion AAAI 2025 Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off AAAI 2025 STEM-LTS: Integrating Semantic-Temporal Dynamics in LLM-driven Time Series Analysis AAAI 2025 Progression-Aware Generative Model Enhancing Baseline Visit Prediction of Early Alzheimer’s Disease MICCAI 2025 Edge-free but Structure-aware: Prototype-Guided Knowledge Distillation from GNNs to MLPs COLING 2025 Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models COLING 2025 BadJudge: Backdoor Vulnerabilities of LLM-As-A-Judge ICLR 2025 REACT: Representation Extraction And Controllable Tuning to Overcome Overfitting in LLM Knowledge Editing EMNLP 2025 Memory OS of AI Agent EMNLP 2025 Does Visual Grounding Enhance the Understanding of Embodied Knowledge in Large Language Models? EMNLP 2025 Balancing Model Efficiency and Performance: Adaptive Pruner for Long-tailed Data ICML 2025 SP3: Enhancing Structured Pruning via PCA Projection ACL 2024 Breaking Long-Tailed Learning Bottlenecks: A Controllable Paradigm with Hypernetwork-Generated Diverse Experts NIPS 2024 Understanding Inverse Scaling and Emergence in Multitask Representation Learning AISTATS 2024 Weight-Inherited Distillation for Task-Agnostic BERT Compression NAACL 2024 KnowLA: Enhancing Parameter-efficient Finetuning with Knowledgeable Adaptation NAACL 2024 LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed Problems NIPS 2024 MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models NIPS 2024 A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks AAAI 2024 EchoMEN: Combating Data Imbalance in Ejection Fraction Regression via Multi-Expert Network MICCAI 2024 Beyond Agreement: Diagnosing the Rationale Alignment of Automated Essay Scoring Methods based on Linguistically-informed Counterfactuals EMNLP 2024 Make Bricks with a Little Straw: Large-Scale Spatio-Temporal Graph Learning with Restricted GPU-Memory Capacity IJCAI 2024 LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views ICML 2024 Two Fists, One Heart: Multi-Objective Optimization Based Strategy Fusion for Long-tailed Learning ICML 2024 Mixture-of-Subspaces in Low-Rank Adaptation EMNLP 2024 Hybrid-Structure-Oriented Transformer for Arm Musculoskeletal Ultrasound Segmentation MICCAI 2024 SAMP: A Model Inference Toolkit of Post-Training Quantization for Text Processing via Self-Adaptive Mixed-Precision EMNLP 2023 TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities ACL 2023 Novel Slot Detection With an Incremental Setting EMNLP 2023 Fast as CHITA: Neural Network Pruning with Combinatorial Optimization ICML 2023 Learning with Partial Annotations for Event Detection ACL 2023 Document-Level Event Argument Extraction With a Chain Reasoning Paradigm ACL 2023 Addressing NER Annotation Noises with Uncertainty-Guided Tree-Structured CRFs EMNLP 2023 CSL: A Large-scale Chinese Scientific Literature Dataset COLING 2022 Improving Multi-Task Generalization via Regularizing Spurious Correlation NIPS 2022 Transformer Memory as a Differentiable Search Index NIPS 2022 A Simple and Effective Method to Improve Zero-Shot Cross-Lingual Transfer Learning COLING 2022 HyperPrompt: Prompt-based Task-Conditioning of Transformers ICML 2022 Parameter-efficient Continual Learning Framework in Industrial Real-time Text Classification System NAACL 2022 Multi-stage Distillation Framework for Cross-Lingual Semantic Similarity Matching NAACL 2022 Efficiently Identifying Task Groupings for Multi-Task Learning NIPS 2021 HyperGrid Transformers: Towards A Single Model for Multiple Tasks ICLR 2021 Synthesizer: Rethinking Self-Attention for Transformer Models ICML 2021 Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model AISTATS 2021 DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning NIPS 2021 CLUE: A Chinese Language Understanding Evaluation Benchmark COLING 2020 FastBERT: a Self-distilling BERT with Adaptive Inference Time ACL 2020 K-BERT: Enabling Language Representation with Knowledge Graph AAAI 2020 UER: An Open-Source Toolkit for Pre-training Models IJCNLP 2019 SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-Task Learning AAAI 2019 UER: An Open-Source Toolkit for Pre-training Models EMNLP 2019 Analogical Reasoning on Chinese Morphological and Semantic Relations ACL 2018 Initializing Convolutional Filters with Semantic Features for Text Classification EMNLP 2017 Investigating Different Syntactic Context Types and Context Representations for Learning Word Embeddings EMNLP 2017 Ngram2vec: Learning Improved Word Representations from Ngram Co-occurrence Statistics EMNLP 2017 Weighted Neural Bag-of-n-grams Model: New Baselines for Text Classification COLING 2016