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Optimization

14207 directly classified papers

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Papers

SEE: Strategic Exploration and Exploitation for Cohesive In-Context Prompt Optimization ACL 2025
Principled Content Selection to Generate Diverse and Personalized Multi-Document Summaries ACL 2025
MWPO: Enhancing LLMs Performance through Multi-Weight Preference Strength and Length Optimization ACL 2025
LogicTree: Structured Proof Exploration for Coherent and Rigorous Logical Reasoning with Large Language Models EMNLP 2025
HARP: Hesitation-Aware Reframing in Transformer Inference Pass NAACL 2025
Reward-Guided Tree Search for Inference Time Alignment of Large Language Models NAACL 2025
Streamlining the Collaborative Chain of Models into A Single Forward Pass in Generation-Based Tasks ACL 2025
TreeKV: Smooth Key-Value Cache Compression with Tree Structures IJCAI 2025
Guiding LLM-based Smart Contract Generation with Finite State Machine IJCAI 2025
Understanding and Leveraging the Expert Specialization of Context Faithfulness in Mixture-of-Experts LLMs EMNLP 2025
Q-Mamba: Towards more efficient Mamba models via post-training quantization ACL 2025
The Role of Outgoing Connection Heterogeneity in Feedforward Layers of Large Language Models EMNLP 2025
Length-Induced Embedding Collapse in PLM-based Models ACL 2025
Decentralized Asynchronous Optimization with DADAO allows Decoupling and Acceleration JMLR 2025
An Adaptive Parameter-free and Projection-free Restarting Level Set Method for Constrained Convex Optimization Under the Error Bound Condition JMLR 2025
Efficiently Escaping Saddle Points in Bilevel Optimization JMLR 2025
Scalable Multi-Stage Influence Function for Large Language Models via Eigenvalue-Corrected Kronecker-Factored Parameterization IJCAI 2025
Stepwise Informativeness Search for Improving LLM Reasoning EMNLP 2025
RotateKV: Accurate and Robust 2-Bit KV Cache Quantization for LLMs via Outlier-Aware Adaptive Rotations IJCAI 2025
Optimal subsampling for high-dimensional partially linear models via machine learning methods JMLR 2025
Decentralized Sparse Linear Regression via Gradient-Tracking JMLR 2025
Studying the Role of Input-Neighbor Overlap in Retrieval-Augmented Language Models Training Efficiency EMNLP 2025
IterIS: Iterative Inference-Solving Alignment for LoRA Merging CVPR 2025
Collaborative Tree Search for Enhancing Embodied Multi-Agent Collaboration CVPR 2025
QiMeng-Xpiler: Transcompiling Tensor Programs for Deep Learning Systems with a Neural-Symbolic Approach OSDI 2025