Optimization & Theory

RESQUE: Quantifying Estimator to Task and Distribution Shift for Sustainable Model Reusability AAAI 2025 Rethinking Neural-based Matrix Inversion: Why can’t, and Where can AISTATS 2025 Rethinking Removal Attack and Fingerprinting Defense for Model Intellectual Property Protection: A Frequency Perspective IJCAI 2025 Rethinking the Role of Prompting Strategies in LLM Test-Time Scaling: A Perspective of Probability Theory ACL 2025 Retracing the Past: LLMs Emit Training Data When They Get Lost EMNLP 2025 Retrofitting Large Language Models with Dynamic Tokenization ACL 2025 Revealing and Mitigating the Challenge of Detecting Character Knowledge Errors in LLM Role-Playing EMNLP 2025 Revealing the Deceptiveness of Knowledge Editing: A Mechanistic Analysis of Superficial Editing ACL 2025 Revisiting Disparity from Dual-Pixel Images: Physics-Informed Lightweight Depth Estimation WACV 2025 Revisiting Gradient Normalization and Clipping for Nonconvex SGD under Heavy-Tailed Noise: Necessity, Sufficiency, and Acceleration JMLR 2025 Revisiting LLM Value Probing Strategies: Are They Robust and Expressive? EMNLP 2025 Revisiting LoRA through the Lens of Parameter Redundancy: Spectral Encoding Helps ACL 2025 Revisiting Pruning vs Quantization for Small Language Models EMNLP 2025 Revisiting Self-Consistency from Dynamic Distributional Alignment Perspective on Answer Aggregation ACL 2025 Revisiting Weak-to-Strong Generalization in Theory and Practice: Reverse KL vs. Forward KL ACL 2025 REVIVING YOUR MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing EMNLP 2025 RILQ: Rank-Insensitive LoRA-Based Quantization Error Compensation for Boosting 2-Bit Large Language Model Accuracy AAAI 2025 RingFormer: Rethinking Recurrent Transformer with Adaptive Level Signals EMNLP 2025 Robust Machine Unlearning for Quantized Neural Networks via Adaptive Gradient Reweighting with Similar Labels ICCV 2025 RoCoFT: Efficient Finetuning of Large Language Models with Row-Column Updates ACL 2025 RotateKV: Accurate and Robust 2-Bit KV Cache Quantization for LLMs via Outlier-Aware Adaptive Rotations IJCAI 2025 Round Attention: A Novel Round-Level Attention Mechanism to Accelerate LLM Inference ACML 2025 RTD-Lite: Scalable Topological Analysis for Comparing Weighted Graphs in Learning Tasks AISTATS 2025 Run LoRA Run: Faster and Lighter LoRA Implementations ACL 2025 Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach Interspeech 2025