Thinking to Recall: How Reasoning Unlocks Parametric Knowledge in LLMs

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References (35)

[1]
Improving Parametric Knowledge Access in Reasoning Language Models
2026Melody Ma, John Hewitt
[2]
Empty Shelves or Lost Keys? Recall Is the Bottleneck for Parametric Factuality
2026Nitay Calderon, Eyal Ben-David et al.
[3]
What Characterizes Effective Reasoning? Revisiting Length, Review, and Structure of CoT
2025Yunzhen Feng, Julia Kempe et al.
[4]
SimpleQA Verified: A Reliable Factuality Benchmark to Measure Parametric Knowledge
2025Lukas Haas, G. Yona et al.
[5]
Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
2025Gheorghe Comanici, Eric Bieber et al.
[6]
How Well Can Reasoning Models Identify and Recover from Unhelpful Thoughts?
2025Sohee Yang, Sang-Woo Lee et al.
[7]
Rewarding the Unlikely: Lifting GRPO Beyond Distribution Sharpening
2025Andre He, Daniel Fried et al.
[8]
Don't Overthink it. Preferring Shorter Thinking Chains for Improved LLM Reasoning
2025Michael Hassid, Gabriel Synnaeve et al.
[9]
Beyond Semantics: The Unreasonable Effectiveness of Reasonless Intermediate Tokens
2025Kaya Stechly, Karthik Valmeekam et al.
[10]
Qwen3 Technical Report
2025An Yang, Anfeng Li et al.
[11]
Reasoning Models Don't Always Say What They Think
2025Yanda Chen, Joe Benton et al.
[12]
Chain-of-Thought Reasoning In The Wild Is Not Always Faithful
2025Iv'an Arcuschin, Jett Janiak et al.
[13]
Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs
2025K. Gandhi, Ayush K Chakravarthy et al.
[14]
Towards Thinking-Optimal Scaling of Test-Time Compute for LLM Reasoning
2025Wenkai Yang, Shuming Ma et al.
[15]
When More is Less: Understanding Chain-of-Thought Length in LLMs
2025Yuyang Wu, Yifei Wang et al.
[16]
s1: Simple test-time scaling
2025Niklas Muennighoff, Zitong Yang et al.
[17]
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
2025Adam Suma, Sam Dauncey
[18]
Scaling LLM Test-Time Compute Optimally Can be More Effective than Scaling Parameters for Reasoning
2025C. Snell, Jaehoon Lee et al.
[19]
TÜLU 3: Pushing Frontiers in Open Language Model Post-Training
2024Nathan Lambert, Jacob Daniel Morrison et al.
[20]
Measuring short-form factuality in large language models
2024Jason Wei, Nguyen Karina et al.

Showing 20 of 35 references

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"Unlocking reasoning in LLMs enhances parametric knowledge recall for improved accuracy."

LLM ReasoningScore: 5View PDF ↗

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