Cover Image

Atlas: Orchestrating Heterogeneous Models and Tools for Multi-Domain Complex Reasoning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wu, Jinyang, Zhai, Guocheng, Jin, Ruihan, Yuan, Jiahao, Shen, Yuhao, Zhang, Shuai, Wen, Zhengqi, Tao, Jianhua
Format:	Preprint
Published:	2026
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Maestro: Reinforcement Learning to Orchestrate Hierarchical Model-Skill Ensembles
by: Wu, Jinyang, et al.
Published: (2026)

AStar: Boosting Multimodal Reasoning with Automated Structured Thinking
by: Wu, Jinyang, et al.
Published: (2025)

RadialRouter: Structured Representation for Efficient and Robust Large Language Models Routing
by: Jin, Ruihan, et al.
Published: (2025)

Fake News Detection and Manipulation Reasoning via Large Vision-Language Models
by: Jin, Ruihan, et al.
Published: (2024)

Exploring Knowledge Purification in Multi-Teacher Knowledge Distillation for LLMs
by: Jin, Ruihan, et al.
Published: (2026)

DReSS: Data-driven Regularized Structured Streamlining for Large Language Models
by: Feng, Mingkuan, et al.
Published: (2025)

Spark: Strategic Policy-Aware Exploration via Dynamic Branching for Long-Horizon Agentic Learning
by: Wu, Jinyang, et al.
Published: (2026)

Two-Stage Regularization-Based Structured Pruning for LLMs
by: Feng, Mingkuan, et al.
Published: (2025)

TemplateRL: Structured Template-Guided Reinforcement Learning for LLM Reasoning
by: Wu, Jinyang, et al.
Published: (2025)

Can large language models understand uncommon meanings of common words?
by: Wu, Jinyang, et al.
Published: (2024)

Beyond Examples: High-level Automated Reasoning Paradigm in In-Context Learning via MCTS
by: Wu, Jinyang, et al.
Published: (2024)

KS-LLM: Knowledge Selection of Large Language Models with Evidence Document for Question Answering
by: Zheng, Xinxin, et al.
Published: (2024)

Debunk and Infer: Multimodal Fake News Detection via Diffusion-Generated Evidence and LLM Reasoning
by: Yan, Kaiying, et al.
Published: (2025)

Can Pruning Improve Reasoning? Revisiting Long-CoT Compression with Capability in Mind for Better Reasoning
by: Zhao, Shangziqi, et al.
Published: (2025)

Pandora's Box or Aladdin's Lamp: A Comprehensive Analysis Revealing the Role of RAG Noise in Large Language Models
by: Wu, Jinyang, et al.
Published: (2024)

ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models
by: Ding, Hanxing, et al.
Published: (2025)

The Evolution of Tool Use in LLM Agents: From Single-Tool Call to Multi-Tool Orchestration
by: Xu, Haoyuan, et al.
Published: (2026)

Implicit Hierarchical GRPO: Decoupling Tool Invocation from Execution for Tool-Integrated Mathematical Reasoning
by: Wang, Li, et al.
Published: (2026)

L-MARS: Legal Multi-Agent Workflow with Orchestrated Reasoning and Agentic Search
by: Wang, Ziqi, et al.
Published: (2025)

AdaReasoner: Dynamic Tool Orchestration for Iterative Visual Reasoning
by: Song, Mingyang, et al.
Published: (2026)

From Imitation to Discrimination: Toward A Generalized Curriculum Advantage Mechanism Enhancing Cross-Domain Reasoning Tasks
by: Yang, Changpeng, et al.
Published: (2025)

ToolOrchestra: Elevating Intelligence via Efficient Model and Tool Orchestration
by: Su, Hongjin, et al.
Published: (2025)

CoMM: Collaborative Multi-Agent, Multi-Reasoning-Path Prompting for Complex Problem Solving
by: Chen, Pei, et al.
Published: (2024)

Revisiting Model Interpolation for Efficient Reasoning
by: Wu, Taiqiang, et al.
Published: (2025)

Training LLMs for Multi-Step Tool Orchestration with Constrained Data Synthesis and Graduated Rewards
by: Jiayang, Cheng, et al.
Published: (2026)

Double: Breaking the Acceleration Limit via Double Retrieval Speculative Parallelism
by: Shen, Yuhao, et al.
Published: (2026)

Orchestrating LLMs with Different Personalizations
by: Zhou, Jin Peng, et al.
Published: (2024)

D-CORE: Incentivizing Task Decomposition in Large Reasoning Models for Complex Tool Use
by: Xu, Bowen, et al.
Published: (2026)

Do Large Language Models Excel in Complex Logical Reasoning with Formal Language?
by: Jiang, Jin, et al.
Published: (2025)

ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection
by: Gu, Hao, et al.
Published: (2025)

Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning
by: Dong, Guanting, et al.
Published: (2025)

Re-Reading Improves Reasoning in Large Language Models
by: Xu, Xiaohan, et al.
Published: (2023)

SSL: Sweet Spot Learning for Differentiated Guidance in Agentic Optimization
by: Wu, Jinyang, et al.
Published: (2026)

Incentivizing Strong Reasoning from Weak Supervision
by: Yuan, Yige, et al.
Published: (2025)

Deep Learning Approaches for Multimodal Intent Recognition: A Survey
by: Zhao, Jingwei, et al.
Published: (2025)

Robust Knowledge Editing via Explicit Reasoning Chains for Distractor-Resilient Multi-Hop QA
by: Wu, Yuchen, et al.
Published: (2025)

KG-Reasoner: A Reinforced Model for End-to-End Multi-Hop Knowledge Graph Reasoning
by: Wang, Shuai, et al.
Published: (2026)

Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning
by: Zhang, Shaokun, et al.
Published: (2025)

Multi-Scale Heterogeneous Text-Attributed Graph Datasets From Diverse Domains
by: Liu, Yunhui, et al.
Published: (2024)

Making Large Language Models Better Reasoners with Orchestrated Streaming Experiences
by: Liu, Xiangyang, et al.
Published: (2025)