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2026 顶会论文

一作ICML 2026Poster· Social Aspects / Security

MemIncept: Steering LLM Agents via Cooperative Stealthy Memory Injections

Nan Yan · Qian Lou · Jiarong Xing

智能体与工具安全可解释性OpenReview

作者位次 #6/8ACL 2026Findings· Findings of ACL

Federated L o RA Fine-Tuning with Pipelined Error-Mitigated Aggregation and Matrix-Wise Freezing

Haoran Wang · Xiong Wang · Yuqing Li · Jing Chen · Junyi Zhang · Nan Yan · Kun He · Wei Wang

摘要

Federated low-rank adaptation (LoRA) enables multiple clients to collaboratively fine-tune large language models (LLMs) without disclosing their raw data. However, existing works often experience performance degradation due to biased model aggregation and are hindered by significant communication...

效率与系统强化学习与后训练数据与预训练OpenReview 项目页

一作KDD 2026Oral· Knowledge Discovery & Data Mining

Efficient and Differentially Private Federated LLM Fine-Tuning on Heterogeneous Clients

Nan Yan · Yuqing Li · Xiong Wang · Jing Chen · Wei Wang · Kun He · Ruiying Du · Shuhua Li

强化学习与后训练效率与系统检索与知识OpenReview

Nan Yan

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2026 顶会论文

MemIncept: Steering LLM Agents via Cooperative Stealthy Memory Injections

Federated L o RA Fine-Tuning with Pipelined Error-Mitigated Aggregation and Matrix-Wise Freezing

Efficient and Differentially Private Federated LLM Fine-Tuning on Heterogeneous Clients

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