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cs.AI 2

years

2026 1 2025 1

verdicts

CONDITIONAL 1 UNVERDICTED 1

representative citing papers

Recursive Language Models

cs.AI · 2025-12-31 · conditional · novelty 8.0

RLMs allow LLMs to handle prompts up to 100x longer than their context window via recursive self-calls on prompt parts, outperforming standard long-context methods on benchmarks.

PEEK: Context Map as an Orientation Cache for Long-Context LLM Agents

cs.AI · 2026-05-19 · unverdicted · novelty 6.0

PEEK maintains a constant-sized context map via a programmable cache policy to give LLM agents persistent orientation knowledge about recurring external contexts, yielding 6-34% gains and lower cost than prior prompt-learning methods.

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Showing 2 of 2 citing papers.

  • Recursive Language Models cs.AI · 2025-12-31 · conditional · none · ref 9

    RLMs allow LLMs to handle prompts up to 100x longer than their context window via recursive self-calls on prompt parts, outperforming standard long-context methods on benchmarks.

  • PEEK: Context Map as an Orientation Cache for Long-Context LLM Agents cs.AI · 2026-05-19 · unverdicted · none · ref 62

    PEEK maintains a constant-sized context map via a programmable cache policy to give LLM agents persistent orientation knowledge about recurring external contexts, yielding 6-34% gains and lower cost than prior prompt-learning methods.