Cover Image

AsynDBT: Asynchronous Distributed Bilevel Tuning for efficient In-Context Learning with Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ma, Hui, Dou, Shaoyu, Liu, Ya, Xing, Fei, Feng, Li, Pi, Feng
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fog Intelligence for Network Anomaly Detection
by: Yang, Kai, et al.
Published: (2025)

Adaptive In-Context Learning with Large Language Models for Bundle Generation
by: Sun, Zhu, et al.
Published: (2023)

Code Vulnerability Repair with Large Language Model using Context-Aware Prompt Tuning
by: Khan, Arshiya, et al.
Published: (2024)

AsynFusion: Towards Asynchronous Latent Consistency Models for Decoupled Whole-Body Audio-Driven Avatars
by: Zhang, Tianbao, et al.
Published: (2025)

Sim-MSTNet: sim2real based Multi-task SpatioTemporal Network Traffic Forecasting
by: Ma, Hui, et al.
Published: (2026)

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models
by: Li, Yuan, et al.
Published: (2025)

On Leveraging Large Language Models for Enhancing Entity Resolution: A Cost-efficient Approach
by: Li, Huahang, et al.
Published: (2024)

Quantifying Laziness, Decoding Suboptimality, and Context Degradation in Large Language Models
by: Ma, Yiqing, et al.
Published: (2025)

ImplicitMemBench: Measuring Unconscious Behavioral Adaptation in Large Language Models
by: Qin, Chonghan, et al.
Published: (2026)

Steering Multimodal Large Language Models Decoding for Context-Aware Safety
by: Liu, Zheyuan, et al.
Published: (2025)

Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Data
by: Zhang, Jiahan, et al.
Published: (2024)

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models
by: Feng, Jiarui, et al.
Published: (2025)

Mixture-of-LoRAs: An Efficient Multitask Tuning for Large Language Models
by: Feng, Wenfeng, et al.
Published: (2024)

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning
by: Ma, Hui, et al.
Published: (2025)

Distilled Large Language Model in Confidential Computing Environment for System-on-Chip Design
by: Ben, Dong, et al.
Published: (2025)

An Adaptive Differentially Private Federated Learning Framework with Bi-level Optimization
by: Wang, Jin, et al.
Published: (2026)

Improved Supervised Fine-Tuning for Large Language Models to Mitigate Catastrophic Forgetting
by: Ding, Fei, et al.
Published: (2025)

DianJin-R1: Evaluating and Enhancing Financial Reasoning in Large Language Models
by: Zhu, Jie, et al.
Published: (2025)

Towards Robust Instruction Tuning on Multimodal Large Language Models
by: Han, Wei, et al.
Published: (2024)

Large Language Models for Sequential Decision-Making: Improving In-Context Learning via Supervised Fine-Tuning
by: Zhang, Minmin, et al.
Published: (2026)

A Survey on Large Language Model-Based Social Agents in Game-Theoretic Scenarios
by: Feng, Xiachong, et al.
Published: (2024)

ProtTeX: Structure-In-Context Reasoning and Editing of Proteins with Large Language Models
by: Ma, Zicheng, et al.
Published: (2025)

CASE-Bench: Context-Aware SafEty Benchmark for Large Language Models
by: Sun, Guangzhi, et al.
Published: (2025)

Hyperbolic Fine-Tuning for Large Language Models
by: Yang, Menglin, et al.
Published: (2024)

RedAgent: Red Teaming Large Language Models with Context-aware Autonomous Language Agent
by: Xu, Huiyu, et al.
Published: (2024)

LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning
by: Pan, Rui, et al.
Published: (2024)

D-VLA: A High-Concurrency Distributed Asynchronous Reinforcement Learning Framework for Vision-Language-Action Models
by: Guo, Yucheng, et al.
Published: (2026)

Post-Completion Learning for Language Models
by: Fei, Xiang, et al.
Published: (2025)

In-Context Reinforcement Learning for Tool Use in Large Language Models
by: Ye, Yaoqi, et al.
Published: (2026)

Instruction Tuning Vs. In-Context Learning: Revisiting Large Language Models in Few-Shot Computational Social Science
by: Wang, Taihang, et al.
Published: (2024)

DAM: Dynamic Attention Mask for Long-Context Large Language Model Inference Acceleration
by: Zhang, Hanzhi, et al.
Published: (2025)

Fine-Tuning Code Language Models to Detect Cross-Language Bugs
by: Li, Zengyang, et al.
Published: (2025)

Learning Fine-Grained Grounded Citations for Attributed Large Language Models
by: Huang, Lei, et al.
Published: (2024)

CP-Env: Evaluating Large Language Models on Clinical Pathways in a Controllable Hospital Environment
by: Zhu, Yakun, et al.
Published: (2025)

Plant, Persist, Trigger: Sleeper Attack on Large Language Model Agents
by: Li, Yongxiang, et al.
Published: (2026)

StreamLink: Large-Language-Model Driven Distributed Data Engineering System
by: Feng, Dawei, et al.
Published: (2025)

Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models
by: Xu, Jiashu, et al.
Published: (2023)

RLAX: Large-Scale, Distributed Reinforcement Learning for Large Language Models on TPUs
by: Zhou, Runlong, et al.
Published: (2025)

OctoPack: Instruction Tuning Code Large Language Models
by: Muennighoff, Niklas, et al.
Published: (2023)

Peak-Detector: Explainable Peak Detection via Instruction-Tuned Large Language Models in Physiological Sign
by: Li, Jiahui, et al.
Published: (2026)