Jiahao Liu

AeroGS: Scale-Aware Gaussian Splatting for Pose-Free Dynamic UAV Scene Reconstruction CVPR 2026 Inverting the Shield: Systematically Generating Safety Tests from Policy Specifications ACL 2026 The Evolution of Thought: Tracking LLM Overthinking via Reasoning Dynamics Analysis ACL 2026 Balancing Knowledge Updates: Toward Unified Modular Editing in LLMs ACML 2025 Dynamic Fisher-weighted Model Merging via Bayesian Optimization NAACL 2025 Efficient Inter-Operator Scheduling for Concurrent Recommendation Model Inference on GPU IJCAI 2025 IIET: Efficient Numerical Transformer via Implicit Iterative Euler Method EMNLP 2025 LS-TGNN: Long and Short-Term Temporal Graph Neural Network for Session-Based Recommendation AAAI 2025 PsyScam: A Benchmark for Psychological Techniques in Real-World Scams EMNLP 2025 ReMamba: Equip Mamba with Effective Long-Sequence Modeling EMNLP 2025 TCPO: Thought-Centric Preference Optimization for Effective Embodied Decision-making EMNLP 2025 C-ICL: Contrastive In-context Learning for Information Extraction EMNLP 2024 EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction EMNLP 2024 FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees ICML 2024 Graph-Structured Speculative Decoding ACL 2024 M2PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning EMNLP 2024 MCL-NER: Cross-Lingual Named Entity Recognition via Multi-View Contrastive Learning AAAI 2024 Minimal Distillation Schedule for Extreme Language Model Compression EACL 2024 Predictor-Corrector Enhanced Transformers with Exponential Moving Average Coefficient Learning NeurIPS 2024 Speculative Decoding via Early-exiting for Faster LLM Inference with Thompson Sampling Control Mechanism ACL 2024 Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation NeurIPS 2024 What Makes Quantization for Large Language Model Hard? An Empirical Study from the Lens of Perturbation AAAI 2024 FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment IJCAI 2023 Improving Input-label Mapping with Demonstration Replay for In-context Learning EMNLP 2023 Lifting the Curse of Capacity Gap in Distilling Language Models ACL 2023 PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models ACL 2023 RankCSE: Unsupervised Sentence Representations Learning via Learning to Rank ACL 2023 Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression EMNLP 2023 GNN-encoder: Learning a Dual-encoder Architecture via Graph Neural Networks for Dense Passage Retrieval EMNLP 2022 Parameter-free Dynamic Graph Embedding for Link Prediction NeurIPS 2022 VIRT: Improving Representation-based Text Matching via Virtual Interaction EMNLP 2022 VECO: Variable and Flexible Cross-lingual Pre-training for Language Understanding and Generation ACL 2021 A Practical Semi-Parametric Contextual Bandit IJCAI 2019 Topic-to-Essay Generation with Neural Networks IJCAI 2018