Saved in:
| Main Authors: | Zhang, Yunxiao, Xiong, Guanming, Li, Haochen, Zhao, Wen |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.12494 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fine-tuning Multi-hop Question Answering with Hierarchical Graph Network
by: Xiong, Guanming
Published: (2020)
by: Xiong, Guanming
Published: (2020)
MCTS-KBQA: Monte Carlo Tree Search for Knowledge Base Question Answering
by: Xiong, Guanming, et al.
Published: (2025)
by: Xiong, Guanming, et al.
Published: (2025)
Self-Evolving Recommendation System: End-To-End Autonomous Model Optimization With LLM Agents
by: Wang, Haochen, et al.
Published: (2026)
by: Wang, Haochen, et al.
Published: (2026)
Understanding Agent Scaling in LLM-Based Multi-Agent Systems via Diversity
by: Yang, Yingxuan, et al.
Published: (2026)
by: Yang, Yingxuan, et al.
Published: (2026)
EDGE: A Theoretical Framework for Misconception-Aware Adaptive Learning
by: Verma, Ananda Prakash
Published: (2025)
by: Verma, Ananda Prakash
Published: (2025)
Efficient Data Selection for Multimodal Models via Incremental Optimization Utility
by: Jing, Jinhao, et al.
Published: (2026)
by: Jing, Jinhao, et al.
Published: (2026)
Guidelines for Augmentation Selection in Contrastive Learning for Time Series Classification
by: Liu, Ziyu, et al.
Published: (2024)
by: Liu, Ziyu, et al.
Published: (2024)
Data Interpreter: An LLM Agent For Data Science
by: Hong, Sirui, et al.
Published: (2024)
by: Hong, Sirui, et al.
Published: (2024)
Accumulative SGD Influence Estimation for Data Attribution
by: Shi, Yunxiao, et al.
Published: (2025)
by: Shi, Yunxiao, et al.
Published: (2025)
Contrastive Self-Supervised Learning As Neural Manifold Packing
by: Zhang, Guanming, et al.
Published: (2025)
by: Zhang, Guanming, et al.
Published: (2025)
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)
LEAD: Iterative Data Selection for Efficient LLM Instruction Tuning
by: Lin, Xiaotian, et al.
Published: (2025)
by: Lin, Xiaotian, et al.
Published: (2025)
Holdout-Loss-Based Data Selection for LLM Finetuning via In-Context Learning
by: Zhang, Ling, et al.
Published: (2025)
by: Zhang, Ling, et al.
Published: (2025)
Rank Also Matters: Hierarchical Configuration for Mixture of Adapter Experts in LLM Fine-Tuning
by: Cong, Peizhuang, et al.
Published: (2025)
by: Cong, Peizhuang, et al.
Published: (2025)
IntPro: A Proxy Agent for Context-Aware Intent Understanding via Retrieval-conditioned Inference
by: Liu, Guanming, et al.
Published: (2026)
by: Liu, Guanming, et al.
Published: (2026)
LLM Data Selection and Utilization via Dynamic Bi-level Optimization
by: Yu, Yang, et al.
Published: (2025)
by: Yu, Yang, et al.
Published: (2025)
Tool-Aided Evolutionary LLM for Generative Policy Toward Efficient Resource Management in Wireless Federated Learning
by: Tan, Chongyang, et al.
Published: (2025)
by: Tan, Chongyang, et al.
Published: (2025)
Joint Optimization of Resource Allocation and Data Selection for Fast and Cost-Efficient Federated Edge Learning
by: Jia, Yunjian, et al.
Published: (2024)
by: Jia, Yunjian, et al.
Published: (2024)
PersRM-R1: Enhance Personalized Reward Modeling with Reinforcement Learning
by: Li, Mengdi, et al.
Published: (2025)
by: Li, Mengdi, et al.
Published: (2025)
Conformal Constrained Policy Optimization for Cost-Effective LLM Agents
by: Si, Wenwen, et al.
Published: (2025)
by: Si, Wenwen, et al.
Published: (2025)
Watch Every Step! LLM Agent Learning via Iterative Step-Level Process Refinement
by: Xiong, Weimin, et al.
Published: (2024)
by: Xiong, Weimin, et al.
Published: (2024)
AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning
by: Zhang, Jianguo, et al.
Published: (2024)
by: Zhang, Jianguo, et al.
Published: (2024)
MPO: Boosting LLM Agents with Meta Plan Optimization
by: Xiong, Weimin, et al.
Published: (2025)
by: Xiong, Weimin, et al.
Published: (2025)
Enhancing Deep Learning with Optimized Gradient Descent: Bridging Numerical Methods and Neural Network Training
by: Ma, Yuhan, et al.
Published: (2024)
by: Ma, Yuhan, et al.
Published: (2024)
Agent-Omit: Adaptive Context Omission for Efficient LLM Agents
by: Ning, Yansong, et al.
Published: (2026)
by: Ning, Yansong, et al.
Published: (2026)
ClimateLLM: Efficient Weather Forecasting via Frequency-Aware Large Language Models
by: Li, Shixuan, et al.
Published: (2025)
by: Li, Shixuan, et al.
Published: (2025)
Justitia: Fair and Efficient Scheduling of Task-parallel LLM Agents with Selective Pampering
by: Yang, Mingyan, et al.
Published: (2025)
by: Yang, Mingyan, et al.
Published: (2025)
LearnAlign: Data Selection for LLM Reinforcement Learning with Improved Gradient Alignment
by: Li, Shipeng, et al.
Published: (2025)
by: Li, Shipeng, et al.
Published: (2025)
FaST: Efficient and Effective Long-Horizon Forecasting for Large-Scale Spatial-Temporal Graphs via Mixture-of-Experts
by: Zhao, Yiji, et al.
Published: (2026)
by: Zhao, Yiji, et al.
Published: (2026)
Event-Aware Prompt Learning for Dynamic Graphs
by: Yu, Xingtong, et al.
Published: (2025)
by: Yu, Xingtong, et al.
Published: (2025)
Routing with Generated Data: Annotation-Free LLM Skill Estimation and Expert Selection
by: Niu, Tianyi, et al.
Published: (2026)
by: Niu, Tianyi, et al.
Published: (2026)
Skill Weaving: Efficient LLM Improvement via Modular Skillpacks
by: Li, Zhuo, et al.
Published: (2026)
by: Li, Zhuo, et al.
Published: (2026)
RecMem: Recurrence-based Memory Consolidation for Efficient and Effective Long-Running LLM Agents
by: Dai, Zijie, et al.
Published: (2026)
by: Dai, Zijie, et al.
Published: (2026)
CHESS: Optimizing LLM Inference via Channel-Wise Thresholding and Selective Sparsification
by: He, Junhui, et al.
Published: (2024)
by: He, Junhui, et al.
Published: (2024)
Plug-and-Play Parameter-Efficient Tuning of Embeddings for Federated Recommendation
by: Yuan, Haochen, et al.
Published: (2025)
by: Yuan, Haochen, et al.
Published: (2025)
GEAR: Granularity-Adaptive Advantage Reweighting for LLM Agents via Self-Distillation
by: Li, Sijia, et al.
Published: (2026)
by: Li, Sijia, et al.
Published: (2026)
Efficient State Space Model via Fast Tensor Convolution and Block Diagonalization
by: Liang, Tongyi, et al.
Published: (2024)
by: Liang, Tongyi, et al.
Published: (2024)
TrajAgent: An LLM-Agent Framework for Trajectory Modeling via Large-and-Small Model Collaboration
by: Du, Yuwei, et al.
Published: (2024)
by: Du, Yuwei, et al.
Published: (2024)
Retrieval-augmented GUI Agents with Generative Guidelines
by: Xu, Ran, et al.
Published: (2025)
by: Xu, Ran, et al.
Published: (2025)
Training Data Selection with Gradient Orthogonality for Efficient Domain Adaptation
by: Zhang, Xiyang, et al.
Published: (2026)
by: Zhang, Xiyang, et al.
Published: (2026)
Similar Items
-
Fine-tuning Multi-hop Question Answering with Hierarchical Graph Network
by: Xiong, Guanming
Published: (2020) -
MCTS-KBQA: Monte Carlo Tree Search for Knowledge Base Question Answering
by: Xiong, Guanming, et al.
Published: (2025) -
Self-Evolving Recommendation System: End-To-End Autonomous Model Optimization With LLM Agents
by: Wang, Haochen, et al.
Published: (2026) -
Understanding Agent Scaling in LLM-Based Multi-Agent Systems via Diversity
by: Yang, Yingxuan, et al.
Published: (2026) -
EDGE: A Theoretical Framework for Misconception-Aware Adaptive Learning
by: Verma, Ananda Prakash
Published: (2025)