Cover Image

LADDER: Self-Improving LLMs Through Recursive Problem Decomposition

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Simonds, Toby, Yoshiyama, Akira
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RLSR: Reinforcement Learning from Self Reward
by: Simonds, Toby, et al.
Published: (2025)

Entropy Adaptive Decoding: Dynamic Model Switching for Efficient Inference
by: Simonds, Toby
Published: (2025)

LLMs for Engineering: Teaching Models to Design High Powered Rockets
by: Simonds, Toby
Published: (2025)

Recursive Decomposition with Dependencies for Generic Divide-and-Conquer Reasoning
by: Hernández-Gutiérrez, Sergio, et al.
Published: (2025)

LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm
by: Liu, Dazhuang, et al.
Published: (2024)

Self-Taught Optimizer (STOP): Recursively Self-Improving Code Generation
by: Zelikman, Eric, et al.
Published: (2023)

A Recursive Decomposition Framework for Causal Structure Learning in the Presence of Latent Variables
by: Li, Zheng, et al.
Published: (2026)

Recursive Introspection: Teaching Language Model Agents How to Self-Improve
by: Qu, Yuxiao, et al.
Published: (2024)

FractalBench: Diagnosing Visual-Mathematical Reasoning Through Recursive Program Synthesis
by: Ondras, Jan, et al.
Published: (2025)

The Alignment Game: A Theory of Long-Horizon Alignment Through Recursive Curation
by: Falahati, Ali, et al.
Published: (2025)

HERCULES: Hierarchical Embedding-based Recursive Clustering Using LLMs for Efficient Summarization
by: Petnehazi, Gabor, et al.
Published: (2025)

Epistemic Error Decomposition for Multi-step Time Series Forecasting: Rethinking Bias-Variance in Recursive and Direct Strategies
by: Green, Riku, et al.
Published: (2025)

Improving Generalization of Neural Vehicle Routing Problem Solvers Through the Lens of Model Architecture
by: Xiao, Yubin, et al.
Published: (2024)

SGM: A Statistical Godel Machine for Risk-Controlled Recursive Self-Modification
by: Wu, Xuening, et al.
Published: (2025)

From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and Generation
by: Wan, Xingchen, et al.
Published: (2025)

False Fixed Points: Kantian Feedback, Stable Miscalibration, and Representational Compression in LLMs
by: Okutomi, Akira
Published: (2025)

Evaluating Self-Supervised Learning via Risk Decomposition
by: Dubois, Yann, et al.
Published: (2023)

Identifying Sparsely Active Circuits Through Local Loss Landscape Decomposition
by: Chrisman, Brianna, et al.
Published: (2025)

OATS: Outlier-Aware Pruning Through Sparse and Low Rank Decomposition
by: Zhang, Stephen, et al.
Published: (2024)

Scalable Oversight for Superhuman AI via Recursive Self-Critiquing
by: Wen, Xueru, et al.
Published: (2025)

Evaluating Binary Decision Biases in Large Language Models: Implications for Fair Agent-Based Financial Simulations
by: Vidler, Alicia, et al.
Published: (2025)

Symbol Correctness in Deep Neural Networks Containing Symbolic Layers
by: Bembenek, Aaron, et al.
Published: (2024)

SpecQuant: Spectral Decomposition and Adaptive Truncation for Ultra-Low-Bit LLMs Quantization
by: Zhao, Zhixiong, et al.
Published: (2025)

Recursive Deep Inverse Reinforcement Learning
by: Ghanem, Paul, et al.
Published: (2025)

LoopQ: Quantization for Recursive Transformers
by: Fang, Rui, et al.
Published: (2026)

Modality-Decoupled Online Recursive Editing
by: Li, Siyuan, et al.
Published: (2026)

Interaction Locality in Hierarchical Recursive Reasoning
by: Miyanishi, Yosuke, et al.
Published: (2026)

Recursive Inference Machines for Neural Reasoning
by: Komisarczyk, Mieszko, et al.
Published: (2026)

Incentivizing LLMs to Self-Verify Their Answers
by: Zhang, Fuxiang, et al.
Published: (2025)

Generalizable Heuristic Generation Through LLMs with Meta-Optimization
by: Shi, Yiding, et al.
Published: (2025)

Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving
by: Didolkar, Aniket, et al.
Published: (2024)

Self-Improving AI Agents through Self-Play
by: Chojecki, Przemyslaw
Published: (2025)

Direct-Inverse Prompting: Analyzing LLMs' Discriminative Capacity in Self-Improving Generation
by: Ahn, Jihyun Janice, et al.
Published: (2024)

Less is More: Recursive Reasoning with Tiny Networks
by: Jolicoeur-Martineau, Alexia
Published: (2025)

Test-time Adaptation of Tiny Recursive Models
by: McGovern, Ronan Killian
Published: (2025)

Recursive Backwards Q-Learning in Deterministic Environments
by: Diekhoff, Jan, et al.
Published: (2024)

Efficient line search for optimizing Area Under the ROC Curve in gradient descent
by: Fowler, Jadon, et al.
Published: (2024)

Invisible Backdoor Attack Through Singular Value Decomposition
by: Chen, Wenmin, et al.
Published: (2024)

Distilling LLMs' Decomposition Abilities into Compact Language Models
by: Tarasov, Denis, et al.
Published: (2024)

A Decomposition Perspective to Long-context Reasoning for LLMs
by: Xiao, Yanling, et al.
Published: (2026)