Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language Models (2025 · 16 citations)
Large Reasoning Models such as OpenAI o1, DeepSeek R1 and QwQ solve hard math and coding problems by producing long chains of thought.
SPPO: Sequence-Level PPO for Long-Horizon Reasoning Tasks (2026 · 8 citations)
Reinforcement learning with verifiable rewards is a common way to improve LLM reasoning, but the two main options each have a cost.
G2: Guided Generation for Enhanced Output Diversity in LLMs (2025 · 6 citations)
LLMs often return near-identical answers when asked the same question repeatedly. This hurts creative writing, best-of-N selection, synthetic data creation and test-time scaling for reasoning. Raising the sampling temperature adds variety but lowers quality, and re-prompting with earlier answers can drift away from…
No More Stale Feedback: Co-Evolving Critics for Open-World Agent Learning (2026 · 3 citations)
Critique-guided reinforcement learning supplements sparse outcome rewards for LLM agents with natural-language feedback.

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Where their works here were published, the most works first, with the editions of those that have a page.

Papers of our library cite their works 32 times (of the 149,439 papers whose bibliographies we read); 14 citing papers with a page here →.

Updated 31 October 2026