POPO uses bounded importance sampling on positive rollouts and a siamese policy network to achieve implicit negative gradients and stable optimization, matching or exceeding GRPO on math benchmarks such as 36.67% on AIME 2025.
Inftythink: Breaking the length limits of long-context reasoning in large language models
10 Pith papers cite this work. Polarity classification is still indexing.
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Post-Reasoning boosts LLM accuracy by reversing the usual answer-after-reasoning order, delivering mean relative gains of 17.37% across 117 model-benchmark pairs with zero extra cost.
ConCise is a training-free protocol that compresses multi-step RAG context from O(N²) to O(N) tokens using conclusion chains and fused generation, achieving 64.63% average token savings.
IS-CoT framework interleaves planning, writing, and reflection in LLMs to prevent length collapse, yielding IS-Writer-8B that outperforms larger models on long-form benchmarks with better length compliance.
InsightReplay improves long CoT reasoning by extracting critical insights from the trace and replaying them near the active frontier, delivering +1.65 average accuracy gain across 24 model-benchmark settings.
ZoomR reduces KV cache memory by more than 4x during long-output reasoning by using summary keys for coarse indexing and dynamic fine-grained retrieval.
MEMENTO trains LLMs to segment reasoning into blocks, generate mementos as dense summaries, and reason forward using only mementos and KV states, cutting peak KV cache by ~2.5x while preserving benchmark accuracy.
SWE-AGILE introduces a Dynamic Reasoning Context with sliding windows of detailed steps and compressed Reasoning Digests to enable efficient long-horizon reasoning in software engineering agents, claiming new benchmark results on SWE-Bench-Verified for 7B-8B models.
A survey organizing techniques to achieve efficient reasoning in LLMs by shortening chain-of-thought outputs.
SURGENT is a multi-agent surgical assistance system with novel memory management that outperforms baseline LLMs on case analysis, plan simulation, safety monitoring, risk assessment, and rehabilitation guidance.
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Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models
A survey organizing techniques to achieve efficient reasoning in LLMs by shortening chain-of-thought outputs.