AgentCL: Toward Rigorous Evaluation of Continual Learning in Language Agents
cs.AI, cs.CL
Submitted: 2026-06-01
Updated: 2026-09-26
Code: https://github.com/vllm-project/vllm3https:
Terminology
Sources
- gpt-oss-120b & gpt-oss-20b Model Card
- MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems
- BrowseComp-Plus: A More Fair and Transparent Evaluation Benchmark of Deep-Research Agent
- Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions
- SWE-Bench-CL: Continual Learning for Coding Agents
- BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agents
- Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory
- Agent-Dice: Disentangling Knowledge Updates via Geometric Consensus for Agent Continual Learning
- A-MEM: Agentic Memory for LLM Agents
- CGL: Advancing Continual GUI Learning via Reinforcement Fine-Tuning
- Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models
- LifelongAgentBench: Evaluating LLM Agents as Lifelong Learners
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