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Accelerating Large Language Model Inference with Self-Supervised Early Exits
Arxiv
0+阅读 · 2月12日
Back to Basics: Revisiting Exploration in Reinforcement Learning for LLM Reasoning via Generative Probabilities
Arxiv
0+阅读 · 2月6日
The Refutability Gap: Challenges in Validating Reasoning by Large Language Models
Arxiv
0+阅读 · 2月10日
The Refutability Gap: Challenges in Validating Reasoning by Large Language Models
Arxiv
0+阅读 · 2月9日
Agentic Proposing: Enhancing Large Language Model Reasoning via Compositional Skill Synthesis
Arxiv
0+阅读 · 2月3日
Challenges and Research Directions for Large Language Model Inference Hardware
Arxiv
0+阅读 · 1月14日
Not All Code Is Equal: A Data-Centric Study of Code Complexity and LLM Reasoning
Arxiv
0+阅读 · 1月29日
More Bang for the Buck: Improving the Inference of Large Language Models at a Fixed Budget using Reset and Discard (ReD)
Arxiv
0+阅读 · 1月29日
EpiCaR: Knowing What You Don't Know Matters for Better Reasoning in LLMs
Arxiv
0+阅读 · 1月11日
Batch-of-Thought: Cross-Instance Learning for Enhanced LLM Reasoning
Arxiv
0+阅读 · 1月6日
Patience Is The Key to Large Language Model Reasoning
Arxiv
0+阅读 · 2025年12月29日
Batch Prompting Suppresses Overthinking Reasoning Under Constraint: How Batch Prompting Suppresses Overthinking in Reasoning Models
Arxiv
0+阅读 · 2025年12月18日
CoAT: Chain-of-Associated-Thoughts Framework for Enhancing Large Language Models Reasoning
Arxiv
0+阅读 · 2025年11月13日
Datacenters in the Desert: Feasibility and Sustainability of LLM Inference in the Middle East
Arxiv
0+阅读 · 2025年11月21日
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