Ningyu Zhang PRO

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upvoted 2 collections 7 days ago

C1

Collection

1 item • Updated 7 days ago • 1

Interesting Papers

Collection

3 items • Updated 7 days ago • 1

upvoted a paper 7 days ago

SkillNet: Create, Evaluate, and Connect AI Skills

Paper • 2603.04448 • Published 15 days ago • 78

upvoted a paper 9 days ago

How Controllable Are Large Language Models? A Unified Evaluation across Behavioral Granularities

Paper • 2603.02578 • Published 10 days ago • 23

upvoted an article 12 days ago

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Article

让大模型真正「记住你」｜LightMem：轻量高效的记忆增强生成框架

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12 days ago

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1

upvoted 3 articles 13 days ago

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Article

Making LLMs Truly Remember You | LightMem: Lightweight and Efficient Memory-Augmented Generation

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13 days ago

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3

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Article

构建、评估与连接 AI 技能 | SkillNet：大规模智能体“技能图谱”知识库

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13 days ago

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9

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Article

Create, Evaluate, and Connect AI Skills | SkillNet: A Large-Scale Agentic "Skill Graph" Knowledge Base

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13 days ago

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12

upvoted a paper 24 days ago

InnoEval: On Research Idea Evaluation as a Knowledge-Grounded, Multi-Perspective Reasoning Problem

Paper • 2602.14367 • Published 25 days ago • 17

upvoted a collection about 1 month ago

Chat2Workflow

Collection

1 item • Updated Feb 9 • 1

upvoted 2 papers about 1 month ago

From Data to Behavior: Predicting Unintended Model Behaviors Before Training

Paper • 2602.04735 • Published Feb 4 • 15

Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics

Paper • 2602.02343 • Published Feb 2 • 13

upvoted a paper about 2 months ago

Aligning Agentic World Models via Knowledgeable Experience Learning

Paper • 2601.13247 • Published Jan 19 • 15

upvoted 2 papers 2 months ago

Can We Predict Before Executing Machine Learning Agents?

Paper • 2601.05930 • Published Jan 9 • 27

Illusions of Confidence? Diagnosing LLM Truthfulness via Neighborhood Consistency

Paper • 2601.05905 • Published Jan 9 • 20

upvoted a paper 3 months ago

InnoGym: Benchmarking the Innovation Potential of AI Agents

Paper • 2512.01822 • Published Dec 1, 2025 • 36

upvoted a collection 5 months ago

Memory

Collection

Prompt is text-based memory. System II prompting is updating memory. Parametric memory is long-term, while prompt-based are short-tem. • 23 items • Updated Oct 22, 2025 • 2

upvoted 2 papers 5 months ago

LightMem: Lightweight and Efficient Memory-Augmented Generation

Paper • 2510.18866 • Published Oct 21, 2025 • 114

Executable Knowledge Graphs for Replicating AI Research

Paper • 2510.17795 • Published Oct 20, 2025 • 15

upvoted an article 5 months ago

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Article

🛠 ML-Agents Tips & Lessons Learned (AutoMind + MLE-Bench)

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Oct 9, 2025

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