Imagen de Portada

Amortized Reasoning Tree Search: Decoupling Proposal and Decision in Large Language Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Hong, Zesheng, Yu, Jiadong, Pan, Hui
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Agentic Proposing: Enhancing Large Language Model Reasoning via Compositional Skill Synthesis
por: Jiao, Zhengbo, et al.
Publicado: (2026)

LEPO: Latent Reasoning Policy Optimization for Large Language Models
por: Zhou, Yuyan, et al.
Publicado: (2026)

The Alignment Paradox of Medical Large Language Models in Infertility Care: Decoupling Algorithmic Improvement from Clinical Decision-making Quality
por: Liu, Dou, et al.
Publicado: (2025)

It Just Takes Two: Scaling Amortized Inference to Large Sets
por: Wehenkel, Antoine, et al.
Publicado: (2026)

CAMA: Enhancing Mathematical Reasoning in Large Language Models with Causal Knowledge
por: Zan, Lei, et al.
Publicado: (2025)

Towards a Mechanistic Understanding of Propositional Logical Reasoning in Large Language Models
por: Chen, Danchun, et al.
Publicado: (2026)

Over-Searching in Search-Augmented Large Language Models
por: Xie, Roy, et al.
Publicado: (2026)

Amortized Planning with Large-Scale Transformers: A Case Study on Chess
por: Ruoss, Anian, et al.
Publicado: (2024)

Iterative Amortized Hierarchical VAE
por: Penninga, Simon W., et al.
Publicado: (2026)

ReasonCache: Accelerating Large Reasoning Model Serving through KV Cache Sharing
por: Chen, Kaiwen, et al.
Publicado: (2025)

HyperTransport: Amortized Conditioning of T2I Generative Models
por: Maiorca, Valentino, et al.
Publicado: (2026)

In Search of Trees: Decision-Tree Policy Synthesis for Black-Box Systems via Search
por: Demirović, Emir, et al.
Publicado: (2024)

Amortized In-Context Bayesian Posterior Estimation
por: Mittal, Sarthak, et al.
Publicado: (2025)

Amortized Sampling with Transferable Normalizing Flows
por: Tan, Charlie B., et al.
Publicado: (2025)

PCDVQ: Enhancing Vector Quantization for Large Language Models via Polar Coordinate Decoupling
por: Yue, Yuxuan, et al.
Publicado: (2025)

Pre-trained Language Models Improve the Few-shot Prompt Ability of Decision Transformer
por: Yang, Yu, et al.
Publicado: (2024)

Method-Based Reasoning for Large Language Models: Extraction, Reuse, and Continuous Improvement
por: Su, Hong
Publicado: (2025)

Proxy-RLHF: Decoupling Generation and Alignment in Large Language Model with Proxy
por: Zhu, Yu, et al.
Publicado: (2024)

Decoupling Search and Learning in Neural Net Training
por: Vegesna, Akshay, et al.
Publicado: (2025)

GVPO: Group Variance Policy Optimization for Large Language Model Post-Training
por: Zhang, Kaichen, et al.
Publicado: (2025)

Are Large-Language Models Graph Algorithmic Reasoners?
por: Taylor, Alexander K, et al.
Publicado: (2024)

Decision Potential Surface: A Theoretical and Practical Approximation of Large Language Model Decision Boundary
por: Liang, Zi, et al.
Publicado: (2025)

Meta-Learning at Scale for Large Language Models via Low-Rank Amortized Bayesian Meta-Learning
por: Zhang, Liyi, et al.
Publicado: (2025)

Tree Search for Language Model Agents
por: Koh, Jing Yu, et al.
Publicado: (2024)

Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models
por: Zhou, Zhanhui, et al.
Publicado: (2024)

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search
por: Gao, Yang, et al.
Publicado: (2025)

Instance-Adaptive Parametrization for Amortized Variational Inference
por: Pollastro, Andrea, et al.
Publicado: (2026)

Amortized Optimal Transport from Sliced Potentials
por: Truong, Minh-Phuc, et al.
Publicado: (2026)

Decoupling Spatio-Temporal Prediction: When Lightweight Large Models Meet Adaptive Hypergraphs
por: Chen, Jiawen, et al.
Publicado: (2025)

Hypothesis Search: Inductive Reasoning with Language Models
por: Wang, Ruocheng, et al.
Publicado: (2023)

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search
por: Han, Dongge, et al.
Publicado: (2025)

Aligning Few-Step Generative Models by Amortizing Sample-based Variational Inference
por: Lee, Jaewoo, et al.
Publicado: (2026)

Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks: An Extended Investigation
por: Schmitt, Marvin, et al.
Publicado: (2024)

TimeOmni-1: Incentivizing Complex Reasoning with Time Series in Large Language Models
por: Guan, Tong, et al.
Publicado: (2025)

Probing the Trajectories of Reasoning Traces in Large Language Models
por: Ballon, Marthe, et al.
Publicado: (2026)

Beyond Output Correctness: Benchmarking and Evaluating Large Language Model Reasoning in Coding Tasks
por: Li, Yuangang, et al.
Publicado: (2026)

FormalMATH: Benchmarking Formal Mathematical Reasoning of Large Language Models
por: Yu, Zhouliang, et al.
Publicado: (2025)

SealQA: Raising the Bar for Reasoning in Search-Augmented Language Models
por: Pham, Thinh, et al.
Publicado: (2025)

Re-ranking Reasoning Context with Tree Search Makes Large Vision-Language Models Stronger
por: Yang, Qi, et al.
Publicado: (2025)

Amortized Active Causal Induction with Deep Reinforcement Learning
por: Annadani, Yashas, et al.
Publicado: (2024)