Copertina

AlphaApollo: A System for Deep Agentic Reasoning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhou, Zhanke, Cao, Chentao, Feng, Xiao, Li, Xuan, Li, Zongze, Lu, Xiangyu, Yao, Jiangchao, Huang, Weikai, Cheng, Tian, Zhang, Jianghangfan, Jiang, Tangyu, Xu, Linrui, Zheng, Yiming, Miranda, Brando, Liu, Tongliang, Koyejo, Sanmi, Sugiyama, Masashi, Han, Bo
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Artificial Intelligence Computation and Language Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information?
di: Zhou, Zhanke, et al.
Pubblicazione: (2025)

Reference-guided Policy Optimization for Molecular Optimization via LLM Reasoning
di: Li, Xuan, et al.
Pubblicazione: (2026)

DeepInception: Hypnotize Large Language Model to Be Jailbreaker
di: Li, Xuan, et al.
Pubblicazione: (2023)

Pretraining Scaling Laws for Generative Evaluations of Language Models
di: Schaeffer, Rylan, et al.
Pubblicazione: (2025)

Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models
di: Zhou, Zhanke, et al.
Pubblicazione: (2025)

Pantograph: A Machine-to-Machine Interaction Interface for Advanced Theorem Proving, High Level Reasoning, and Data Extraction in Lean 4
di: Aniva, Leni, et al.
Pubblicazione: (2024)

From Debate to Equilibrium: Belief-Driven Multi-Agent LLM Reasoning via Bayesian Nash Equilibrium
di: Yi, Xie, et al.
Pubblicazione: (2025)

Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection
di: Cao, Chentao, et al.
Pubblicazione: (2024)

Is Pre-training Truly Better Than Meta-Learning?
di: Miranda, Brando, et al.
Pubblicazione: (2023)

CURE: Cultural Understanding and Reasoning Evaluation - A Framework for "Thick" Culture Alignment Evaluation in LLMs
di: Vo, Truong, et al.
Pubblicazione: (2025)

Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs
di: Zhou, Zhanke, et al.
Pubblicazione: (2024)

Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel
di: Li, Xuan, et al.
Pubblicazione: (2023)

Noisy Test-Time Adaptation in Vision-Language Models
di: Cao, Chentao, et al.
Pubblicazione: (2025)

Putnam-AXIOM: A Functional and Static Benchmark for Measuring Higher Level Mathematical Reasoning in LLMs
di: Gulati, Aryan, et al.
Pubblicazione: (2025)

ZIP-FIT: Embedding-Free Data Selection via Compression-Based Alignment
di: Obbad, Elyas, et al.
Pubblicazione: (2024)

Beyond Scale: The Diversity Coefficient as a Data Quality Metric for Variability in Natural Language Data
di: Miranda, Brando, et al.
Pubblicazione: (2023)

Lean-ing on Quality: How High-Quality Data Beats Diverse Multilingual Data in AutoFormalization
di: Chan, Willy, et al.
Pubblicazione: (2025)

Evaluating the Robustness of Chinchilla Compute-Optimal Scaling
di: Schaeffer, Rylan, et al.
Pubblicazione: (2025)

Co-rewarding: Stable Self-supervised RL for Eliciting Reasoning in Large Language Models
di: Zhang, Zizhuo, et al.
Pubblicazione: (2025)

Causally Inspired Regularization Enables Domain General Representations
di: Salaudeen, Olawale, et al.
Pubblicazione: (2024)

Let's Measure Information Step-by-Step: AI-Based Evaluation Beyond Vibes
di: Robertson, Zachary, et al.
Pubblicazione: (2025)

Reasoning Models Don't Just Think Longer, They Move Differently
di: Gjølbye, Anders, et al.
Pubblicazione: (2026)

SATBench: Benchmarking LLMs' Logical Reasoning via Automated Puzzle Generation from SAT Formulas
di: Wei, Anjiang, et al.
Pubblicazione: (2025)

In-Situ Behavioral Evaluation for LLM Fairness, Not Standardized-Test Scores
di: Tang, Zeyu, et al.
Pubblicazione: (2026)

Quantifying the Importance of Data Alignment in Downstream Model Performance
di: Chawla, Krrish, et al.
Pubblicazione: (2025)

Model Inversion Attacks: A Survey of Approaches and Countermeasures
di: Zhou, Zhanke, et al.
Pubblicazione: (2024)

RewardFlow: Topology-Aware Reward Propagation on State Graphs for Agentic RL with Large Language Models
di: Feng, Xiao, et al.
Pubblicazione: (2026)

A Framework for Objective-Driven Dynamical Stochastic Fields
di: Zhang, Yibo Jacky, et al.
Pubblicazione: (2025)

Decoupling the Class Label and the Target Concept in Machine Unlearning
di: Zhu, Jianing, et al.
Pubblicazione: (2024)

Reliable and Efficient Amortized Model-based Evaluation
di: Truong, Sang, et al.
Pubblicazione: (2025)

Towards Effective Evaluations and Comparisons for LLM Unlearning Methods
di: Wang, Qizhou, et al.
Pubblicazione: (2024)

BrokenBind: Universal Modality Exploration beyond Dataset Boundaries
di: Huang, Zhuo, et al.
Pubblicazione: (2026)

In-Context Learning of Energy Functions
di: Schaeffer, Rylan, et al.
Pubblicazione: (2024)

Discovering Implicit Large Language Model Alignment Objectives
di: Chen, Edward, et al.
Pubblicazione: (2026)

High-Dimensional Markov-switching Ordinary Differential Processes
di: Tsai, Katherine, et al.
Pubblicazione: (2024)

Distributional Machine Unlearning via Selective Data Removal
di: Allouah, Youssef, et al.
Pubblicazione: (2025)

SCENEBench: An Audio Understanding Benchmark Grounded in Assistive and Industrial Use Cases
di: Iyer, Laya, et al.
Pubblicazione: (2026)

HiFA: High-fidelity Text-to-3D Generation with Advanced Diffusion Guidance
di: Zhu, Junzhe, et al.
Pubblicazione: (2023)

Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive?
di: Schaeffer, Rylan, et al.
Pubblicazione: (2024)

BadLabel: A Robust Perspective on Evaluating and Enhancing Label-noise Learning
di: Zhang, Jingfeng, et al.
Pubblicazione: (2023)