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Optimization

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Safe Online Convex Optimization with Heavy-Tailed Observation Noises AAAI 2025
Improved Rates of Differentially Private Nonconvex-Strongly-Concave Minimax Optimization AAAI 2025
(1+1) Genetic Programming with Functionally Complete Instruction Sets Can Evolve Boolean Conjunctions and Disjunctions with Arbitrarily Small Error AAAI 2025
APHQ-ViT: Post-Training Quantization with Average Perturbation Hessian Based Reconstruction for Vision Transformers CVPR 2025
Towards Stable and Storage-efficient Dataset Distillation: Matching Convexified Trajectory CVPR 2025
Tuning the Frequencies: Robust Training for Sinusoidal Neural Networks CVPR 2025
ModernBERT or DeBERTaV3? Examining Architecture and Data Influence on Transformer Encoder Models Performance IJCNLP 2025
Minimizing Queries, Maximizing Impact: Adaptive Score-Based Attack and Defense for Sentiment Analysis AACL 2025
Online Learning Defense against Iterative Jailbreak Attacks via Prompt Optimization AACL 2025
ContrastScore: Towards Higher Quality, Less Biased, More Efficient Evaluation Metrics with Contrastive Evaluation AACL 2025
Understanding Reference Policies in Direct Preference Optimization NAACL 2025
RiOT: Efficient Prompt Refinement with Residual Optimization Tree ACL 2025
BEE: Metric-Adapted Explanations via Baseline Exploration-Exploitation AAAI 2025
Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning AAAI 2025
Optimizing Hidden Markov Language Models: An Empirical Study of Reparameterization and Initialization Techniques NAACL 2025
FFCG: Effective and Fast Family Column Generation for Solving Large-Scale Linear Program AAAI 2025
When Every Token Counts: Optimal Segmentation for Low-Resource Language Models COLING 2025
FedPop: Federated Population-based Hyperparameter Tuning AAAI 2025
Revitalizing Saturated Benchmarks: A Weighted Metric Approach for Differentiating Large Language Model Performance NAACL 2025
Gradient-guided Attention Map Editing: Towards Efficient Contextual Hallucination Mitigation NAACL 2025
SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers ACL 2025
On Corruption-Robustness in Performative Reinforcement Learning AAAI 2025
IOPO: Empowering LLMs with Complex Instruction Following via Input-Output Preference Optimization ACL 2025
Vocabulary-level Memory Efficiency for Language Model Fine-tuning NAACL 2025
Task Facet Learning: A Structured Approach To Prompt Optimization ACL 2025