LinTree: Improving LLM Reasoning with Explicitly Structured Search Histories

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Kang, Liwei, Teh, Yee Whye, Lee, Wee Sun
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

SofT-GRPO: Surpassing Discrete-Token LLM Reinforcement Learning via Gumbel-Reparameterized Soft-Thinking Policy Optimization
di: Zheng, Zhi, et al.
Pubblicazione: (2025)

Extending Epistemic Uncertainty Beyond Parameters Would Assist in Designing Reliable LLMs
di: Nguyen-Hien, T. Duy, et al.
Pubblicazione: (2025)

Are We Evaluating the Edit Locality of LLM Model Editing Properly?
di: Liu, Wei, et al.
Pubblicazione: (2026)

Verifier-Backed Hard Problem Generation for Mathematical Reasoning
di: Lai, Yuhang, et al.
Pubblicazione: (2026)

On the Empirical Complexity of Reasoning and Planning in LLMs
di: Kang, Liwei, et al.
Pubblicazione: (2024)

The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning
di: Sims, Anya, et al.
Pubblicazione: (2024)

Incorporating Unlabelled Data into Bayesian Neural Networks
di: Sharma, Mrinank, et al.
Pubblicazione: (2023)

Is Model Editing Built on Sand? Revealing Its Illusory Success and Fragile Foundation
di: Liu, Wei, et al.
Pubblicazione: (2025)

L3Ms -- Lagrange Large Language Models
di: Dhillon, Guneet S., et al.
Pubblicazione: (2024)

Manifold Aware Denoising Score Matching (MAD)
di: Levy-Jurgenson, Alona, et al.
Pubblicazione: (2026)

First Try Matters: Revisiting the Role of Reflection in Reasoning Models
di: Kang, Liwei, et al.
Pubblicazione: (2025)

Differentiable Tree Search Network
di: Mittal, Dixant, et al.
Pubblicazione: (2024)

Meta-Learning Objectives for Preference Optimization
di: Alfano, Carlo, et al.
Pubblicazione: (2024)

Reasoning-CV: Fine-tuning Powerful Reasoning LLMs for Knowledge-Assisted Claim Verification
di: Zheng, Zhi, et al.
Pubblicazione: (2025)

Prompting Strategies for Enabling Large Language Models to Infer Causation from Correlation
di: Sgouritsa, Eleni, et al.
Pubblicazione: (2024)

Kalman Filter for Online Classification of Non-Stationary Data
di: Titsias, Michalis K., et al.
Pubblicazione: (2023)

From Backward Spreading to Forward Replay: Revisiting Target Construction in LLM Parameter Editing
di: Liu, Wei, et al.
Pubblicazione: (2026)

LinAlg-Bench: A Forensic Benchmark Revealing Structural Failure Modes in LLM Mathematical Reasoning
di: Agarwal, Shradha, et al.
Pubblicazione: (2026)

Non-Stationary Learning of Neural Networks with Automatic Soft Parameter Reset
di: Galashov, Alexandre, et al.
Pubblicazione: (2024)

Foundation of Intelligence: Review of Math Word Problems from Human Cognition Perspective
di: Huang, Zhenya, et al.
Pubblicazione: (2025)

Scaling Retrieval-Augmented Reasoning with Parallel Search and Explicit Merging
di: Liu, Jiabei, et al.
Pubblicazione: (2026)

Extracting Search Trees from LLM Reasoning Traces Reveals Myopic Planning
di: Chen, Sixing, et al.
Pubblicazione: (2026)

Improving LLM Reasoning with Homophily-aware Structural and Semantic Text-Attributed Graph Compression
di: Di, Zijun, et al.
Pubblicazione: (2026)

Chain-in-Tree: Back to Sequential Reasoning in LLM Tree Search
di: Li, Xinzhe
Pubblicazione: (2025)

Dynamic Parallel Tree Search for Efficient LLM Reasoning
di: Ding, Yifu, et al.
Pubblicazione: (2025)

Enhancing LLM Reasoning with Reward-guided Tree Search
di: Jiang, Jinhao, et al.
Pubblicazione: (2024)

Structural Reasoning Improves Molecular Understanding of LLM
di: Jang, Yunhui, et al.
Pubblicazione: (2024)

Beyond Imitation: Reinforcement Learning for Active Latent Planning
di: Zheng, Zhi, et al.
Pubblicazione: (2026)

Searching Meta Reasoning Skeleton to Guide LLM Reasoning
di: Zhang, Ziying, et al.
Pubblicazione: (2025)

Improving Molecular Force Fields with Minimal Temporal Information
di: Mollahosseini, Ali, et al.
Pubblicazione: (2026)

Policy Guided Tree Search for Enhanced LLM Reasoning
di: Li, Yang
Pubblicazione: (2025)

Model-First Reasoning LLM Agents: Reducing Hallucinations through Explicit Problem Modeling
di: Rana, Annu, et al.
Pubblicazione: (2025)

AI Co-Scientist for Ranking: Discovering Novel Search Ranking Models alongside LLM-based AI Agents with Cloud Computing Access
di: Wu, Liwei, et al.
Pubblicazione: (2026)

Novelty-based Tree-of-Thought Search for LLM Reasoning and Planning
di: Hamm, Leon, et al.
Pubblicazione: (2026)

Improving LLM Reasoning with Multi-Agent Tree-of-Thought Validator Agent
di: Haji, Fatemeh, et al.
Pubblicazione: (2024)

Structured Debate Improves Corporate Credit Reasoning in Financial AI
di: Lee, Yoonjin, et al.
Pubblicazione: (2025)

Beyond Meta-Reasoning: Metacognitive Consolidation for Self-Improving LLM Reasoning
di: Zhuang, Ziqing, et al.
Pubblicazione: (2026)

CAP-CoT: Cycle Adversarial Prompt for Improving Chain of Thoughts in LLM Reasoning
di: Chen, Shuxu, et al.
Pubblicazione: (2026)

Table as Thought: Exploring Structured Thoughts in LLM Reasoning
di: Sun, Zhenjie, et al.
Pubblicazione: (2025)

SwiReasoning: Switch-Thinking in Latent and Explicit for Pareto-Superior Reasoning LLMs
di: Shi, Dachuan, et al.
Pubblicazione: (2025)