APEx: Distillation of Agent Procedural Experience for Adaptive Deep Research Question Answering
cs.AI, cs.CL
Submitted: 2026-09-02
Updated: 2026-09-02
Code: https://github.com/J-Ding519/APEx
Terminology
Sources
- SimpleVQA: Multimodal Factuality Evaluation for Multimodal Large Language Models
- Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
- From Local to Global: A Graph RAG Approach to Query-Focused Summarization
- WebSailor: Navigating Super-human Reasoning for Web Agent
- Deep Research Agents: A Systematic Examination And Roadmap
- MMSearch: Benchmarking the Potential of Large Models as Multi-modal Search Engines
- Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
- MemReader: From Passive to Active Extraction for Long-Term Agent Memory
- OpenResearcher: A Fully Open Pipeline for Long-Horizon Deep Research Trajectory Synthesis
- SimpleMem: Efficient Lifelong Memory for LLM Agents
- SkillClaw: Let Skills Evolve Collectively with Agentic Evolver
- Multi-Agent Tool-Integrated Policy Optimization
- DeepMMSearch-R1: Empowering Multimodal LLMs in Multimodal Web Search
- Memory Intelligence Agent
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- Text Embeddings by Weakly-Supervised Contrastive Pre-training
- MIRIX: Multi-Agent Memory System for LLM-Based Agents
- Agent Workflow Memory
- MMSearch-R1: Incentivizing LMMs to Search
- SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning
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