ActiveMem: Dynamic Latent Memory Trees for Long-Horizon Agents
cs.AI
Submitted: 2026-09-27
Updated: 2026-09-27
Terminology
Sources
- REDSearcher: A Scalable and Cost-Efficient Framework for Long-Horizon Search Agents
- Training Verifiers to Solve Math Word Problems
- Beyond Ten Turns: Unlocking Long-Horizon Agentic Search with Large-Scale Asynchronous RL
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- Measuring Mathematical Problem Solving With the MATH Dataset
- REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization
- Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
- WebSailor: Navigating Super-human Reasoning for Web Agent
- Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems
- WebExplorer: Explore and Evolve for Training Long-Horizon Web Agents
- Deliberation in Latent Space via Differentiable Cache Augmentation
- Scaling LLM Multi-turn RL with End-to-end Summarization-based Context Management
- Large Language Model Agent: A Survey on Methodology, Applications and Challenges
- GPQA: A Graduate-Level Google-Proof Q&A Benchmark
- ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
- Kimi K2: Open Agentic Intelligence
- Voyager: An Open-Ended Embodied Agent with Large Language Models
- Text Embeddings by Weakly-Supervised Contrastive Pre-training
- Agent Workflow Memory
- BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agents
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