< 学习笔记 />

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MD Recommender Systems 中级

When Does LLM Reasoning Help Recommendation? The Semantic Richness Index

A cross-domain study: LLMs improve recommendation only when SRI >= 0.45 (semantic-rich content). On…

2026-04-01 VIEW()

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MD Systems & Infrastructure 专家

GC-LLM: Garbage Collection for LLM Inference Memory

Applying GC principles (reference counting, generational collection, memory pools) to GPU memory in…

2026-04-01 VIEW()

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MD Research Tools 高级

IntegriRef: Five-Layer Reference Integrity Verification

A five-layer (L0-L4) citation verification engine: L2 semantic claim verification achieves 93.5% ac…

2026-04-01 VIEW()

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MD Recommender Systems 中级

Speculative Recommendation Serving: From LLM Decoding to Caching

RecCache transfers the draft-and-verify paradigm from speculative LLM decoding to recommendation ca…

2026-04-01 VIEW()

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MD Financial ML 高级

The Crowding Paradox: High-Density States Predict Systemic Risk

Systemic financial risk is predicted by high-density market states — the opposite of anomaly detect…

2026-04-01 VIEW()

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MD Decision Theory 专家

DTBI: Why Aggregation Matters 14.5x More Than Orchestration in Oracle Systems

When combining unreliable inference oracles, voting vs weighted averaging can matter 14.5x more tha…

2026-04-01 VIEW()

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MD Multi-Agent Systems 高级

AgentTrace: Why Structural Graph Features Beat LLMs for Multi-Agent Failure Attribution

Structural causal graph features find root causes in multi-agent LLM failures at 35ms and zero cost…

2026-04-01 VIEW()

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MD Knowledge Distillation 中级

IJCNN to ECML-PKDD: Evolving a KD Paper Through Reviewer Feedback

How IJCNN reviewer feedback drove fundamental improvements: from fabricated references and unclear …

2026-04-01 VIEW()

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MD LLM Routing 高级

ProbML Submission Journey: From Draft to 31-Page Archival Paper

The full journey of submitting the HMM-TS routing paper to ProbML 2026: from initial KDD draft to 3…

2026-04-01 VIEW()