Optimization & Theory

Dynamic Back-Substitution in Bound-Propagation-Based Neural Network Verification AAAI 2025 Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts NAACL 2025 Dynamic Evaluation for Oversensitivity in LLMs EMNLP 2025 Dynamic Layer Gating for Speech Enhancement Interspeech 2025 Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models ICLR 2025 Dynamic Operator Optimization for Efficient Multi-Tenant LoRA Model Serving AAAI 2025 Dynamic Sparse Training of Diagonally Sparse Networks ICML 2025 Dynamic-Width Speculative Beam Decoding for LLM Inference AAAI 2025 DyRoNet: Dynamic Routing and Low-Rank Adapters for Autonomous Driving Streaming Perception WACV 2025 E2LLM: Encoder Elongated Large Language Models for Long-Context Understanding and Reasoning EMNLP 2025 E4: Energy-Efficient DNN Inference for Edge Video Analytics via Early Exiting and DVFS AAAI 2025 EAC-MoE: Expert-Selection Aware Compressor for Mixture-of-Experts Large Language Models ACL 2025 EA-KD: Entropy-based Adaptive Knowledge Distillation ICCV 2025 ECHO-LLaMA: Efficient Caching for High-Performance LLaMA Training EMNLP 2025 ECoRAG: Evidentiality-guided Compression for Long Context RAG ACL 2025 EcoTune: Token-Efficient Multi-Fidelity Hyperparameter Optimization for Large Language Model Inference EMNLP 2025 EdgeInfinite: A Memory-Efficient Infinite-Context Transformer for Edge Devices ACL 2025 Edge-SD-SR: Low Latency and Parameter Efficient On-device Super-Resolution with Stable Diffusion via Bidirectional Conditioning CVPR 2025 EditInspector: A Benchmark for Evaluation of Text-Guided Image Edits ACL 2025 EERO: Early Exit with Reject Option for Efficient Classification with limited budget UAI 2025 Efficiency-Effectiveness Reranking FLOPs for LLM-based Rerankers EMNLP 2025 Efficient Adaptation of Pre-trained Vision Transformer underpinned by Approximately Orthogonal Fine-Tuning Strategy ICCV 2025 Efficient Beam Search for Large Language Models Using Trie-Based Decoding EMNLP 2025 Efficient Bisection Projection to Ensure Neural-Network Solution Feasibility for Optimization over General Set ICML 2025 Efficient Data Driven Mixture-of-Expert Extraction from Trained Networks CVPR 2025