DISCO: Distributed Long Context Scaling with Grounding-Reasoning Disaggregation

arXiv:2609.33485 · cs.CL · Submitted 2026-09-27 · Read on arXiv

cs.CL

Submitted: 2026-09-27

Updated: 2026-09-27

Terminology

• Grounding — 40× in this paper · explained in 3 episodes
• Accuracy — 25× in this paper · explained in 1 episode
• Benchmark — 9× in this paper · explained in 2 episodes
• Fidelity — 8× in this paper · explained in 2 episodes
• GRPO — 8× in this paper · explained in 6 episodes
• RAG — 8× in this paper · explained in 3 episodes
• Thinking mode — 8× in this paper · explained in 2 episodes
• Decoupling — 7× in this paper · explained in 2 episodes
• Reinforcement Learning — 5× in this paper · explained in 4 episodes
• Core — 4× in this paper · explained in 2 episodes
• Generalization — 4× in this paper · explained in 13 episodes
• Multi-hop Reasoning — 4× in this paper · explained in 3 episodes
• Aggregation — 3× in this paper · explained in 1 episode
• Group Relative Policy Optimization — 3× in this paper
• Question Answering — 3× in this paper
• Recursive Language Model — 3× in this paper
• Reward Function — 3× in this paper · explained in 2 episodes
• AI Agents — 2× in this paper · explained in 2 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Agentic Workflows — 2× in this paper · explained in 1 episode
• Attention Mechanism — 2× in this paper · explained in 2 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Directed Acyclic Graph — 2× in this paper
• Entanglement — 2× in this paper · explained in 3 episodes
• Group Relative Policy Optimization (GRPO) — 2× in this paper · explained in 5 episodes
• Hallucination — 2× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Multiple Choice — 2× in this paper
• Query Complexity — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• AdamW Optimizer — 1× in this paper · explained in 1 episode
• Agentic Memory System — 1× in this paper · explained in 1 episode
• Cognitive Load — 1× in this paper · explained in 2 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Credit assignment — 1× in this paper · explained in 3 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Multi-agent Collaboration — 1× in this paper · explained in 2 episodes
• Reinforcement Learning (RL) — 1× in this paper · explained in 25 episodes
• Semantic Gap — 1× in this paper · explained in 2 episodes
• Semantic Similarity — 1× in this paper · explained in 2 episodes
• State Management — 1× in this paper · explained in 3 episodes
• Topological Order — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes

Sources

• Training-Free Long-Context Scaling of Large Language Models
• LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks
• It's All Connected: A Journey Through Test-Time Memorization, Attentional Bias, Retention, and Online Optimization
• Titans: Learning to Memorize at Test Time
• Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
• Rethinking Memory in LLM based Agents: Representations, Operations, and Emerging Topics
• DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
• RULER: What's the Real Context Size of Your Long-Context Language Models?
• Memory in the Age of AI Agents
• Winning Gold at IMO 2025 with a Model-Agnostic Verification-and-Refinement Pipeline
• MemOS: An Operating System for Memory-Augmented Generation (MAG) in Large Language Models
• Are Long-LLMs A Necessity For Long-Context Tasks?
• Qwen3 Technical Report
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
• End-to-End Test-Time Training for Long Context
• Effective Long-Context Scaling of Foundation Models
• General Agentic Memory Via Deep Research
• MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent
• Recursive Language Models
• LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration

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