InternBootcamp: Boosting LLM Reasoning with Verifiable Task Scaling
cs.CL
Submitted: 2025-08-12
Updated: 2026-08-26
Code: https://github.com/InternLM/InternBootcamp
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- ARE: Scaling Up Agent Environments and Evaluations
- Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- Agentic Reinforced Policy Optimization
- Towards General Agentic Intelligence via Environment Scaling
- Group-in-Group Policy Optimization for LLM Agent Training
- GenEnv: Difficulty-Aligned Co-Evolution Between LLM Agents and Environment Simulators
- Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
- WebSailor: Navigating Super-human Reasoning for Web Agent
- Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL
- TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling
- Simulating Environments with Reasoning Models for Agent Training
- We-Math 2.0: A Versatile MathBook System for Incentivizing Visual Mathematical Reasoning
- HybridFlow: A Flexible and Efficient RLHF Framework
- R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning
- EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis
- ScaleEnv: Scaling Environment Synthesis from Scratch for Generalist Interactive Tool-Use Agent Training
- OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
- The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
- Thyme: Think Beyond Images
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