Optimization & Theory

A Pioneering Neural Network Method for Efficient and Robust Fuel Sloshing Simulation in Aircraft AAAI 2025 A Pipeline to Assess Merging Methods via Behavior and Internals EMNLP 2025 A Preliminary Exploration of Phrase-Based SMT and Multi-BPE Segmentations through Concatenated Tokenised Corpora for Low-Resource Indian Languages EMNLP 2025 A Priori Estimation of the Approximation, Optimization and Generalization Errors of Random Neural Networks for Solving Partial Differential Equations IJCAI 2025 A Proactive Reliability Metric for Detecting Failures in Language Model Training EMNLP 2025 A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities AISTATS 2025 ARC ‘Challenge’ Is Not That Challenging ACL 2025 Archaeology at TSAR 2025 Shared Task Teaching Small Models to do CEFR Simplifications EMNLP 2025 Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equation AAAI 2025 Arctic-TILT. Business Document Understanding at Sub-Billion Scale ACL 2025 Are Bias Evaluation Methods Biased ? ACL 2025 Are LLMs Better than Reported? Detecting Label Errors and Mitigating Their Effect on Model Performance EMNLP 2025 Are Optimal Algorithms Still Optimal? Rethinking Sorting in LLM-Based Pairwise Ranking with Batching and Caching ACL 2025 Are Spatial-Temporal Graph Convolution Networks for Human Action Recognition Over-Parameterized? CVPR 2025 ArGAN: Arabic Gender, Ability, and Nationality Dataset for Evaluating Biases in Large Language Models ACL 2025 ArithmAttack: Evaluating Robustness of LLMs to Noisy Context in Math Problem Solving ACL 2025 As easy as PIE: understanding when pruning causes language models to disagree NAACL 2025 A Selective Re-learning Mechanism for Hyperspectral Fusion Imaging CVPR 2025 A Semantic-Aware Layer-Freezing Approach to Computation-Efficient Fine-Tuning of Language Models ACL 2025 ASER: Activation Smoothing and Error Reconstruction for Large Language Model Quantization AAAI 2025 A Silver Bullet or a Compromise for Full Attention? A Comprehensive Study of Gist Token-based Context Compression ACL 2025 Assigning Distinct Roles to Quantized and Low-Rank Matrices Toward Optimal Weight Decomposition ACL 2025 A statistical perspective on algorithm unrolling models for inverse problems JMLR 2025 A Stitch in Time Saves Nine: Small VLM is a Precise Guidance for Accelerating Large VLMs CVPR 2025 A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning AAAI 2025