Saved in:
| Main Authors: | Lai, Kezhao, Lai, Yutao, Liu, Hai-Lin |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.00549 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Beyond Task Vectors: Selective Task Arithmetic Based on Importance Metrics
by: Bowen, Tian, et al.
Published: (2024)
by: Bowen, Tian, et al.
Published: (2024)
Deep Symbolic Optimization for Combinatorial Optimization: Accelerating Node Selection by Discovering Potential Heuristics
by: Liu, Hongyu, et al.
Published: (2024)
by: Liu, Hongyu, et al.
Published: (2024)
Mitigating Spurious Background Bias in Multimedia Recognition with Disentangled Concept Bottlenecks
by: Huang, Gaoxiang, et al.
Published: (2025)
by: Huang, Gaoxiang, et al.
Published: (2025)
Wolf2Pack: The AutoFusion Framework for Dynamic Parameter Fusion
by: Tian, Bowen, et al.
Published: (2024)
by: Tian, Bowen, et al.
Published: (2024)
Rethinking KL Regularization in RLHF: From Value Estimation to Gradient Optimization
by: Liu, Kezhao, et al.
Published: (2025)
by: Liu, Kezhao, et al.
Published: (2025)
Graph-based Semi-supervised Local Clustering with Few Labeled Nodes
by: Shen, Zhaiming, et al.
Published: (2022)
by: Shen, Zhaiming, et al.
Published: (2022)
Rethinking Semi-Supervised Node Classification with Self-Supervised Graph Clustering
by: Wang, Songbo, et al.
Published: (2025)
by: Wang, Songbo, et al.
Published: (2025)
Beyond the Heatmap: A Rigorous Evaluation of Component Impact in MCTS-Based TSP Solvers
by: Pan, Xuanhao, et al.
Published: (2024)
by: Pan, Xuanhao, et al.
Published: (2024)
Automatic Cross-Domain Transfer Learning for Linear Regression
by: Liu, Xinshun, et al.
Published: (2020)
by: Liu, Xinshun, et al.
Published: (2020)
RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models
by: Thach, Nguyen, et al.
Published: (2025)
by: Thach, Nguyen, et al.
Published: (2025)
Efficient Node Selection in Private Personalized Decentralized Learning
by: Zec, Edvin Listo, et al.
Published: (2023)
by: Zec, Edvin Listo, et al.
Published: (2023)
Towards a Statistical Understanding of Neural Networks: Beyond the Neural Tangent Kernel Theories
by: Zhang, Haobo, et al.
Published: (2024)
by: Zhang, Haobo, et al.
Published: (2024)
A Client-level Assessment of Collaborative Backdoor Poisoning in Non-IID Federated Learning
by: Lai, Phung, et al.
Published: (2025)
by: Lai, Phung, et al.
Published: (2025)
PathFinder: MCTS and LLM Feedback-based Path Selection for Multi-Hop Question Answering
by: Maram, Durga Prasad, et al.
Published: (2025)
by: Maram, Durga Prasad, et al.
Published: (2025)
Efficient Topology-aware Data Augmentation for High-Degree Graph Neural Networks
by: Lai, Yurui, et al.
Published: (2024)
by: Lai, Yurui, et al.
Published: (2024)
Beyond Tsybakov: Model Margin Noise and $\mathcal{H}$-Consistency Bounds
by: Mohri, Mehryar, et al.
Published: (2025)
by: Mohri, Mehryar, et al.
Published: (2025)
Text2Weight: Bridging Natural Language and Neural Network Weight Spaces
by: Tian, Bowen, et al.
Published: (2025)
by: Tian, Bowen, et al.
Published: (2025)
Efficient Privacy-Preserving KAN Inference Using Homomorphic Encryption
by: Lai, Zhizheng, et al.
Published: (2024)
by: Lai, Zhizheng, et al.
Published: (2024)
Scalable and Effective Arithmetic Tree Generation for Adder and Multiplier Designs
by: Lai, Yao, et al.
Published: (2024)
by: Lai, Yao, et al.
Published: (2024)
ACDZero: MCTS Agent for Mastering Automated Cyber Defense
by: Li, Yu, et al.
Published: (2026)
by: Li, Yu, et al.
Published: (2026)
Automatic Reward Shaping from Multi-Objective Human Heuristics
by: Xie, Yuqing, et al.
Published: (2025)
by: Xie, Yuqing, et al.
Published: (2025)
Pure Node Selection for Imbalanced Graph Node Classification
by: Zeng, Fanlong, et al.
Published: (2025)
by: Zeng, Fanlong, et al.
Published: (2025)
Leveraging Large Language Models for Effective Label-free Node Classification in Text-Attributed Graphs
by: Zhang, Taiyan, et al.
Published: (2024)
by: Zhang, Taiyan, et al.
Published: (2024)
Beyond Heuristics: Globally Optimal Configuration of Implicit Neural Representations
by: Chen, Sipeng, et al.
Published: (2025)
by: Chen, Sipeng, et al.
Published: (2025)
Beyond Augmented-Action Surrogates for Multi-Expert Learning-to-Defer
by: Montreuil, Yannis, et al.
Published: (2026)
by: Montreuil, Yannis, et al.
Published: (2026)
Beyond the Prompt in Large Language Models: Comprehension, In-Context Learning, and Chain-of-Thought
by: Jiao, Yuling, et al.
Published: (2026)
by: Jiao, Yuling, et al.
Published: (2026)
From Heuristic Selection to Automated Algorithm Design: LLMs Benefit from Strong Priors
by: Huang, Qi, et al.
Published: (2026)
by: Huang, Qi, et al.
Published: (2026)
Exploring Adaptive MCTS with TD Learning in miniXCOM
by: Saadat, Kimiya, et al.
Published: (2022)
by: Saadat, Kimiya, et al.
Published: (2022)
Rethinking Caching for LLM Serving Systems: Beyond Traditional Heuristics
by: Kim, Jungwoo, et al.
Published: (2025)
by: Kim, Jungwoo, et al.
Published: (2025)
Multi-order Graph Clustering with Adaptive Node-level Weight Learning
by: Liu, Ye, et al.
Published: (2024)
by: Liu, Ye, et al.
Published: (2024)
Beyond What to Select: A Plug-and-play Oscillatory Data-Volume Scheduling for Efficient Model Training
by: Yang, Suorong, et al.
Published: (2026)
by: Yang, Suorong, et al.
Published: (2026)
FTS: A Framework to Find a Faithful TimeSieve
by: Lai, Songning, et al.
Published: (2024)
by: Lai, Songning, et al.
Published: (2024)
Reinforcement Learning for Node Selection in Branch-and-Bound
by: Mattick, Alexander, et al.
Published: (2023)
by: Mattick, Alexander, et al.
Published: (2023)
Lai Loss: A Novel Loss for Gradient Control
by: Lai, YuFei
Published: (2024)
by: Lai, YuFei
Published: (2024)
Going Beyond Heuristics by Imposing Policy Improvement as a Constraint
by: Lee, Chi-Chang, et al.
Published: (2025)
by: Lee, Chi-Chang, et al.
Published: (2025)
Conformal Anomaly Detection in Python: Moving Beyond Heuristic Thresholds with 'nonconform'
by: Hennhöfer, Oliver, et al.
Published: (2026)
by: Hennhöfer, Oliver, et al.
Published: (2026)
Act Only When It Pays: Efficient Reinforcement Learning for LLM Reasoning via Selective Rollouts
by: Zheng, Haizhong, et al.
Published: (2025)
by: Zheng, Haizhong, et al.
Published: (2025)
Adaptive Online Experimental Design for Causal Discovery
by: Elahi, Muhammad Qasim, et al.
Published: (2024)
by: Elahi, Muhammad Qasim, et al.
Published: (2024)
C-MCTS: Safe Planning with Monte Carlo Tree Search
by: Parthasarathy, Dinesh, et al.
Published: (2023)
by: Parthasarathy, Dinesh, et al.
Published: (2023)
tLoRA: Efficient Multi-LoRA Training with Elastic Shared Super-Models
by: Li, Kevin, et al.
Published: (2026)
by: Li, Kevin, et al.
Published: (2026)
Similar Items
-
Beyond Task Vectors: Selective Task Arithmetic Based on Importance Metrics
by: Bowen, Tian, et al.
Published: (2024) -
Deep Symbolic Optimization for Combinatorial Optimization: Accelerating Node Selection by Discovering Potential Heuristics
by: Liu, Hongyu, et al.
Published: (2024) -
Mitigating Spurious Background Bias in Multimedia Recognition with Disentangled Concept Bottlenecks
by: Huang, Gaoxiang, et al.
Published: (2025) -
Wolf2Pack: The AutoFusion Framework for Dynamic Parameter Fusion
by: Tian, Bowen, et al.
Published: (2024) -
Rethinking KL Regularization in RLHF: From Value Estimation to Gradient Optimization
by: Liu, Kezhao, et al.
Published: (2025)