Cover Image

Select-Then-Decompose: From Empirical Analysis to Adaptive Selection Strategy for Task Decomposition in Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Shuodi, Liu, Yingzhuo, Wang, Zi, Wang, Yusheng, Wu, Huijia, Xiang, Liuyu, He, Zhaofeng
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Simulation-Free PSRO: Removing Game Simulation from Policy Space Response Oracles
by: Liu, Yingzhuo, et al.
Published: (2025)

Dynamic Generation of Personalities with Large Language Models
by: Liu, Jianzhi, et al.
Published: (2024)

LLMArena: Assessing Capabilities of Large Language Models in Dynamic Multi-Agent Environments
by: Chen, Junzhe, et al.
Published: (2024)

Rethinking Class-Incremental Learning from a Dynamic Imbalanced Learning Perspective
by: Wang, Leyuan, et al.
Published: (2024)

Omni-RRM: Advancing Omni Reward Modeling via Automatic Rubric-Grounded Preference Synthesis
by: Kong, Zicheng, et al.
Published: (2026)

Adaptive-Solver Framework for Dynamic Strategy Selection in Large Language Model Reasoning
by: Zhou, Jianpeng, et al.
Published: (2023)

DoTA: Weight-Decomposed Tensor Adaptation for Large Language Models
by: Hu, Xiaolin, et al.
Published: (2024)

An Empirical Analysis on Large Language Models in Debate Evaluation
by: Liu, Xinyi, et al.
Published: (2024)

Do MLLMs Really Understand the Charts?
by: Zhang, Xiao, et al.
Published: (2025)

Decompose-ToM: Enhancing Theory of Mind Reasoning in Large Language Models through Simulation and Task Decomposition
by: Sarangi, Sneheel, et al.
Published: (2025)

Auto-RT: Automatic Jailbreak Strategy Exploration for Red-Teaming Large Language Models
by: Liu, Yanjiang, et al.
Published: (2025)

DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking Task
by: Liu, Wenhan, et al.
Published: (2024)

A*-Thought: Efficient Reasoning via Bidirectional Compression for Low-Resource Settings
by: Xu, Xiaoang, et al.
Published: (2025)

Large Language Model-guided Document Selection
by: Kong, Xiang, et al.
Published: (2024)

MING-MOE: Enhancing Medical Multi-Task Learning in Large Language Models with Sparse Mixture of Low-Rank Adapter Experts
by: Liao, Yusheng, et al.
Published: (2024)

IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models
by: Zhang, Shaokun, et al.
Published: (2023)

Decomposing and Steering Functional Metacognition in Large Language Models
by: Li, Yanshi, et al.
Published: (2026)

Decomposing the Basic Abilities of Large Language Models: Mitigating Cross-Task Interference in Multi-Task Instruct-Tuning
by: Wang, Bing, et al.
Published: (2026)

An Empirical Study on Information Extraction using Large Language Models
by: Han, Ridong, et al.
Published: (2023)

An Empirical Study on Information Extraction using Large Language Models
by: Han, Ridong, et al.
Published: (2024)

RAISE: Reinforced Adaptive Instruction Selection For Large Language Models
by: Lv, Qingsong, et al.
Published: (2025)

Evaluating Large Language Models for Abstract Evaluation Tasks: An Empirical Study
by: Liu, Yinuo, et al.
Published: (2026)

Automatic Interactive Evaluation for Large Language Models with State Aware Patient Simulator
by: Liao, Yusheng, et al.
Published: (2024)

An Empirical Study on Prompt Compression for Large Language Models
by: Zhang, Zheng, et al.
Published: (2025)

Efficient Response Generation Strategy Selection for Fine-Tuning Large Language Models Through Self-Aligned Perplexity
by: Ren, Xuan, et al.
Published: (2025)

Make an Offer They Can't Refuse: Grounding Bayesian Persuasion in Real-World Dialogues without Pre-Commitment
by: He, Buwei, et al.
Published: (2025)

Knowledge Graph-Enhanced Large Language Models via Path Selection
by: Liu, Haochen, et al.
Published: (2024)

NLNDE at SemEval-2023 Task 12: Adaptive Pretraining and Source Language Selection for Low-Resource Multilingual Sentiment Analysis
by: Wang, Mingyang, et al.
Published: (2023)

Exploring Large Language Models for Communication Games: An Empirical Study on Werewolf
by: Xu, Yuzhuang, et al.
Published: (2023)

SUV: Scalable Large Language Model Copyright Compliance with Regularized Selective Unlearning
by: Xu, Tianyang, et al.
Published: (2025)

Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling
by: Hou, Bairu, et al.
Published: (2023)

Deep Reinforcement Learning with Task-Adaptive Retrieval via Hypernetwork
by: Jin, Yonggang, et al.
Published: (2023)

MM-SAP: A Comprehensive Benchmark for Assessing Self-Awareness of Multimodal Large Language Models in Perception
by: Wang, Yuhao, et al.
Published: (2024)

Selecting Auxiliary Data via Neural Tangent Kernels for Low-Resource Domains
by: Wang, Pingjie, et al.
Published: (2025)

Enhancing Large Language Model Performance with Gradient-Based Parameter Selection
by: Li, Haoling, et al.
Published: (2024)

The Zero-Step Thinking: An Empirical Study of Mode Selection as Harder Early Exit in Reasoning Models
by: Tan, Yuqiao, et al.
Published: (2025)

Evaluation of Deontic Conditional Reasoning in Large Language Models: The Case of Wason's Selection Task
by: Abe, Hirohiko, et al.
Published: (2026)

Enhancing Large Language Model Reasoning via Selective Critical Token Fine-Tuning
by: Ruan, Zhiwen, et al.
Published: (2025)

Efficient Task Adaptation in Large Language Models via Selective Parameter Optimization
by: Wan, Weijie, et al.
Published: (2026)

TAIA: Large Language Models are Out-of-Distribution Data Learners
by: Jiang, Shuyang, et al.
Published: (2024)