Optimization

Aligning Paralinguistic Understanding and Generation in Speech LLMs via Multi-Task Reinforcement Learning EACL 2026 Aligning Text, Code, and Vision: A Multi-Objective Reinforcement Learning Framework for Text-to-Visualization EACL 2026 AMaPO: Adaptive Margin-attached Preference Optimization for Language Model Alignment AAAI 2026 A Multi-Objective Optimization Framework for Adaptive Weighting in Physics-Informed Machine Learning AAAI 2026 An Adaptive Sampling Framework for Diffusion-based Dataset Distillation with High Fidelity and Diversity AAAI 2026 Anchor-Driven Nyström for Deep Graph-Level Clustering AAAI 2026 An Empirical Study of Speculative Decoding for Small Language Models EACL 2026 An Invariant Latent Space Perspective on Language Model Inversion AAAI 2026 AP2O-Coder: Adaptively Progressive Preference Optimization for Reducing Compilation and Runtime Errors in LLM-Generated Code AAAI 2026 APEX-Q: Arbitrary-dimension Product-EXtension Quantization for Accelerated LLM Deployment (Student Abstract) AAAI 2026 Approximating Problems in Abstract Argumentation with Graph Convolutional Networks (Abstract Reprint) AAAI 2026 A Reinforcement Learning Framework for Robust and Secure LLM Watermarking EACL 2026 ART: Attention-Regularized Transformers for Multi-Modal Robustness EACL 2026 A Scalable and Exact Relaxation for Densest k-Subgraph via Error Bounds AAAI 2026 A Single-Loop Stochastic Proximal Quasi-Newton Method for Large-Scale Nonsmooth Convex Optimization JMLR 2026 ASKD: Reinforcement Learning-Style Knowledge Distillation with Quality-Adaptive Skewness AAAI 2026 Assignment Problems in Cost Function Networks AAAI 2026 Asymptotic and Finite Sample Analysis of Nonexpansive Stochastic Approximations with Markovian Noise AAAI 2026 AT-Field: Rethinking the Games in Adversarial Training AAAI 2026 Attribute-Controlled Translation with Preference Optimization EACL 2026 A Two-Timescale Primal-Dual Framework for Reinforcement Learning via Online Dual Variable Guidance JMLR 2026 Audio-Thinker: Guiding Large Audio Language Model When and How to Think via Reinforcement Learning AAAI 2026 Augmented Runtime Collaboration for Self-Organizing Multi-Agent Systems: A Hybrid Bi-Criteria Routing Approach AAAI 2026 A Unified Convergence Analysis for Semi-Decentralized Learning: Sampled-to-Sampled vs. Sampled-to-All Communication AAAI 2026 AutoBool: Reinforcement-Learned LLM for Effective Automatic Systematic Reviews Boolean Query Generation EACL 2026