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Think Deep, Not Just Long: Measuring LLM Reasoning Effort via Deep-Thinking Tokens
Arxiv
0+阅读 · 2月13日
Challenges and Research Directions for Large Language Model Inference Hardware
Arxiv
0+阅读 · 2月6日
LLM-CoOpt: A Co-Design and Optimization Framework for Efficient LLM Inference on Heterogeneous Platforms
Arxiv
0+阅读 · 2月10日
Opt4GPTQ: Co-Optimizing Memory and Computation for 4-bit GPTQ Quantized LLM Inference on Heterogeneous Platforms
Arxiv
0+阅读 · 2月5日
RAudit: A Blind Auditing Protocol for Large Language Model Reasoning
Arxiv
0+阅读 · 1月30日
Don't Overthink it. Preferring Shorter Thinking Chains for Improved LLM Reasoning
Arxiv
0+阅读 · 2月3日
Accordion-Thinking: Self-Regulated Step Summaries for Efficient and Readable LLM Reasoning
Arxiv
0+阅读 · 2月3日
Self-Verification Dilemma: Experience-Driven Suppression of Overused Checking in LLM Reasoning
Arxiv
0+阅读 · 2月3日
Breaking the Exploration Bottleneck: Rubric-Scaffolded Reinforcement Learning for General LLM Reasoning
Arxiv
0+阅读 · 1月30日
A Relative-Budget Theory for Reinforcement Learning with Verifiable Rewards in Large Language Model Reasoning
Arxiv
0+阅读 · 2月2日
Scaling Search-Augmented LLM Reasoning via Adaptive Information Control
Arxiv
0+阅读 · 2月2日
Fast KVzip: Efficient and Accurate LLM Inference with Gated KV Eviction
Arxiv
0+阅读 · 1月25日
Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't
Arxiv
0+阅读 · 1月20日
Adaptive and Robust Cost-Aware Proof of Quality for Decentralized LLM Inference Networks
Arxiv
0+阅读 · 1月29日
PRL: Process Reward Learning Improves LLMs' Reasoning Ability and Broadens the Reasoning Boundary
Arxiv
0+阅读 · 1月15日
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