:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhang, Ruizhe, Jiang, Xinke, Yang, Zhibang, Zhang, Zhixin, Gao, Jiaran, Xiao, Yuzhen, Lai, Hongbin, Chu, Xu, Zhao, Junfeng, Wang, Yasha
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2601.05890
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

KnowPO: Knowledge-aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models
by: Zhang, Ruizhe, et al.
Published: (2024)

Bridging Global Intent with Local Details: A Hierarchical Representation Approach for Semantic Validation in Text-to-SQL
by: Qiu, Rihong, et al.
Published: (2025)

GraphWalker: Graph-Guided In-Context Learning for Clinical Reasoning on Electronic Health Records
by: Fang, Yue, et al.
Published: (2026)

Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning
by: Xu, Yongxin, et al.
Published: (2024)

Toward Better EHR Reasoning in LLMs: Reinforcement Learning with Expert Attention Guidance
by: Fang, Yue, et al.
Published: (2025)

Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation
by: Zhang, Ruizhe, et al.
Published: (2024)

DFAMS: Dynamic-flow guided Federated Alignment based Multi-prototype Search
by: Yang, Zhibang, et al.
Published: (2025)

RAGraph: A General Retrieval-Augmented Graph Learning Framework
by: Jiang, Xinke, et al.
Published: (2024)

HyKGE: A Hypothesis Knowledge Graph Enhanced Framework for Accurate and Reliable Medical LLMs Responses
by: Jiang, Xinke, et al.
Published: (2023)

TC-RAG:Turing-Complete RAG's Case study on Medical LLM Systems
by: Jiang, Xinke, et al.
Published: (2024)

3DS: Medical Domain Adaptation of LLMs via Decomposed Difficulty-based Data Selection
by: Ding, Hongxin, et al.
Published: (2024)

Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation
by: Ma, Xinyu, et al.
Published: (2024)

LoRA Dropout as a Sparsity Regularizer for Overfitting Control
by: Lin, Yang, et al.
Published: (2024)

ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs
by: Ding, Hongxin, et al.
Published: (2025)

EL4NER: Ensemble Learning for Named Entity Recognition via Multiple Small-Parameter Large Language Models
by: Xiao, Yuzhen, et al.
Published: (2025)

AgentSys: Secure and Dynamic LLM Agents Through Explicit Hierarchical Memory Management
by: Wen, Ruoyao, et al.
Published: (2026)

Dynamic Affective Memory Management for Personalized LLM Agents
by: Lu, Junfeng, et al.
Published: (2025)

SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction
by: Yu, Zhihao, et al.
Published: (2024)

LearNAT: Learning NL2SQL with AST-guided Task Decomposition for Large Language Models
by: Liao, Weibin, et al.
Published: (2025)

MiTa: A Hierarchical Multi-Agent Collaboration Framework with Memory-integrated and Task Allocation
by: Zhang, XiaoJie, et al.
Published: (2026)

HELP: Hierarchical Embodied Language Planner for Household Tasks
by: Korchemnyi, Alexandr V., et al.
Published: (2025)

ChemHTS: Hierarchical Tool Stacking for Enhancing Chemical Agents
by: Li, Zhucong, et al.
Published: (2025)

IntelliCare: Improving Healthcare Analysis with Variance-Controlled Patient-Level Knowledge from Large Language Models
by: Yu, Zhihao, et al.
Published: (2024)

GraphPlanner: Graph Memory-Augmented Agentic Routing for Multi-Agent LLMs
by: Feng, Tao, et al.
Published: (2026)

MSCoRe: A Benchmark for Multi-Stage Collaborative Reasoning in LLM Agents
by: Lei, Yuzhen, et al.
Published: (2025)

HiAgent: Hierarchical Working Memory Management for Solving Long-Horizon Agent Tasks with Large Language Model
by: Hu, Mengkang, et al.
Published: (2024)

DRESSing Up LLM: Efficient Stylized Question-Answering via Style Subspace Editing
by: Ma, Xinyu, et al.
Published: (2025)

ADEPT: Continual Pretraining via Adaptive Expansion and Dynamic Decoupled Tuning
by: Zhang, Jinyang, et al.
Published: (2025)

RulePlanner: All-in-One Reinforcement Learner for Unifying Design Rules in 3D Floorplanning
by: Zhong, Ruizhe, et al.
Published: (2026)

AssemPlanner: A Multi-Agent Based Task Planning Framework for Flexible Assembly System
by: Zhang, Chenhao, et al.
Published: (2026)

TPO: Aligning Large Language Models with Multi-branch & Multi-step Preference Trees
by: Liao, Weibin, et al.
Published: (2024)

DLP-LoRA: Efficient Task-Specific LoRA Fusion with a Dynamic, Lightweight Plugin for Large Language Models
by: Zhang, Yuxuan, et al.
Published: (2024)

STMA: A Spatio-Temporal Memory Agent for Long-Horizon Embodied Task Planning
by: Lei, Mingcong, et al.
Published: (2025)

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding
by: Zhang, Weifan, et al.
Published: (2025)

IceCache: Memory-efficient KV-cache Management for Long-Sequence LLMs
by: Mao, Yuzhen, et al.
Published: (2026)

Hierarchical Sampling-based Planner with LTL Constraints and Text Prompting
by: Ge, Jingzhan, et al.
Published: (2025)

Empowering Working Memory for Large Language Model Agents
by: Guo, Jing, et al.
Published: (2023)

MetaGen: Self-Evolving Roles and Topologies for Multi-Agent LLM Reasoning
by: Wang, Yimeng, et al.
Published: (2026)

AOI: Context-Aware Multi-Agent Operations via Dynamic Scheduling and Hierarchical Memory Compression
by: Bai, Zishan, et al.
Published: (2025)

Remember and Recall: Associative-Memory-based Trajectory Prediction
by: Guo, Hang, et al.
Published: (2024)