:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Chen, Xiang, Shi, Yuling, Lan, Qizhen, Qiu, Yuchao, Wang, Min, Gu, Xiaodong, Yan, Yanfu
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2512.08870
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Rethinking the Value of Agent-Generated Tests for LLM-Based Software Engineering Agents
by: Chen, Zhi, et al.
Published: (2026)

SE-Agent: Self-Evolution Trajectory Optimization in Multi-Step Reasoning with LLM-Based Agents
by: Lin, Jiaye, et al.
Published: (2025)

LastingBench: Defend Benchmarks Against Knowledge Leakage
by: Fang, Yixiong, et al.
Published: (2025)

From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical Debugging
by: Shi, Yuling, et al.
Published: (2024)

FedAdOb: Privacy-Preserving Federated Deep Learning with Adaptive Obfuscation
by: Gu, Hanlin, et al.
Published: (2024)

AttentionRAG: Attention-Guided Context Pruning in Retrieval-Augmented Generation
by: Fang, Yixiong, et al.
Published: (2025)

Between Lines of Code: Unraveling the Distinct Patterns of Machine and Human Programmers
by: Shi, Yuling, et al.
Published: (2024)

Difficulty-Aware Agentic Orchestration for Query-Specific Multi-Agent Workflows
by: Su, Jinwei, et al.
Published: (2025)

Privacy-Enhancing Paradigms within Federated Multi-Agent Systems
by: Shi, Zitong, et al.
Published: (2025)

SAGE: Multi-Agent Self-Evolution for LLM Reasoning
by: Peng, Yulin, et al.
Published: (2026)

In Line with Context: Repository-Level Code Generation via Context Inlining
by: Hu, Chao, et al.
Published: (2026)

SkillGenBench: Benchmarking Skill Generation Pipelines for LLM Agents
by: Zhou, Yifan, et al.
Published: (2026)

A Theoretical Analysis of Efficiency Constrained Utility-Privacy Bi-Objective Optimization in Federated Learning
by: Gu, Hanlin, et al.
Published: (2023)

Learning to Act under Noise: Enhancing Agent Robustness via Noisy Environments
by: Chen, Yuxin, et al.
Published: (2026)

LiteVLM: A Low-Latency Vision-Language Model Inference Pipeline for Resource-Constrained Environments
by: Huang, Jin, et al.
Published: (2025)

GlimpRouter: Efficient Collaborative Inference by Glimpsing One Token of Thoughts
by: Zeng, Wenhao, et al.
Published: (2026)

FedSDR: Federated Self-Distillation with Rectification
by: Ren, Ziheng, et al.
Published: (2026)

FedCoT: Federated Chain-of-Thought Distillation for Large Language Models
by: Fan, Tao, et al.
Published: (2024)

Test vs Mutant: Adversarial LLM Agents for Robust Unit Test Generation
by: Chang, Pengyu, et al.
Published: (2026)

FedMLP: Federated Multi-Label Medical Image Classification under Task Heterogeneity
by: Sun, Zhaobin, et al.
Published: (2024)

FedMHO: Heterogeneous One-Shot Federated Learning Towards Resource-Constrained Edge Devices
by: Yao, Dezhong, et al.
Published: (2025)

Tactical Decision for Multi-UGV Confrontation with a Vision-Language Model-Based Commander
by: Wang, Li, et al.
Published: (2025)

FedPop: Federated Population-based Hyperparameter Tuning
by: Chen, Haokun, et al.
Published: (2023)

SE-Bench: Benchmarking Self-Evolution with Knowledge Internalization
by: Yuan, Jiarui, et al.
Published: (2026)

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems
by: Hao, Zhezheng, et al.
Published: (2026)

Harness Updating Is Not Harness Benefit: Disentangling Evolution Capabilities in Self-Evolving LLM Agents
by: Lin, Minhua, et al.
Published: (2026)

FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Models
by: Fan, Tao, et al.
Published: (2024)

Unveiling Privacy Risks in LLM Agent Memory
by: Wang, Bo, et al.
Published: (2025)

FedPOB: Sample-Efficient Federated Prompt Optimization via Bandits
by: Lu, Pingchen, et al.
Published: (2025)

Training LLM Agents for Spontaneous, Reward-Free Self-Evolution via World Knowledge Exploration
by: Zhang, Qifan, et al.
Published: (2026)

eFedLLM: Efficient LLM Inference Based on Federated Learning
by: Ding, Shengwen, et al.
Published: (2024)

FedVideoMAE: Efficient Privacy-Preserving Federated Video Moderation
by: Tao, Ziyuan, et al.
Published: (2025)

Reward-Decomposed Reinforcement Learning for Immersive Video Role-Playing
by: Wang, Miao, et al.
Published: (2026)

FedMM-X: A Trustworthy and Interpretable Framework for Federated Multi-Modal Learning in Dynamic Environments
by: Balija, Sree Bhargavi
Published: (2025)

FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation Completeness
by: Xiang, Yangyang, et al.
Published: (2024)

CEPerFed: Communication-Efficient Personalized Federated Learning for Multi-Pulse MRI Classification
by: Li, Ludi, et al.
Published: (2025)

DP-FedLoRA: Privacy-Enhanced Federated Fine-Tuning for On-Device Large Language Models
by: Xu, Honghui, et al.
Published: (2025)

AgentNoiseBench: Benchmarking Robustness of Tool-Using LLM Agents Under Noisy Condition
by: Wang, Ruipeng, et al.
Published: (2026)

FedSight AI: Multi-Agent System Architecture for Federal Funds Target Rate Prediction
by: Hou, Yuhan, et al.
Published: (2025)

BudgetDraft: Acceptance-Aware Multi-View Training for Sparse-KV Speculative Decoding
by: He, Liang, et al.
Published: (2026)