81 lines
3.4 KiB
Markdown
81 lines
3.4 KiB
Markdown
# AI Daily Brief - 2026-03-04
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> Collected at: 3/4/2026, 11:01:07 PM
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> Total items: 113
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## 🔥 Top 10 Highlights
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1. AI-for-Science Low-code Platform with Bayesian Adversarial Multi-Agent Framework
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http://arxiv.org/abs/2603.03233v1
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2. AgentConductor: Topology Evolution for Multi-Agent Competition-Level Code Generation
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https://huggingface.co/papers/2602.17100
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3. Token Reduction via Local and Global Contexts Optimization for Efficient Video Large Language Models
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https://huggingface.co/papers/2603.01400
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4. Speculative Speculative Decoding
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http://arxiv.org/abs/2603.03251v1
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5. Conditioned Activation Transport for T2I Safety Steering
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https://huggingface.co/papers/2603.03163
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6. Learning When to Act or Refuse: Guarding Agentic Reasoning Models for Safe Multi-Step Tool Use
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https://huggingface.co/papers/2603.03205
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7. InfoPO: Information-Driven Policy Optimization for User-Centric Agents
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https://huggingface.co/papers/2603.00656
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8. Qwen3-Coder-Next Technical Report
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https://huggingface.co/papers/2603.00729
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9. BeyondSWE: Can Current Code Agent Survive Beyond Single-Repo Bug Fixing?
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https://huggingface.co/papers/2603.03194
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10. Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration?
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https://huggingface.co/papers/2603.03202
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## 📂 Categories
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### AI Coding Tools / Code Agent
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- Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration?
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http://arxiv.org/abs/2603.03202v1
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- BeyondSWE: Can Current Code Agent Survive Beyond Single-Repo Bug Fixing?
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http://arxiv.org/abs/2603.03194v1
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### Agent Frameworks
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- Saarthi for AGI: Towards Domain-Specific General Intelligence for Formal Verification
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http://arxiv.org/abs/2603.03175v1
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- Learning When to Act or Refuse: Guarding Agentic Reasoning Models for Safe Multi-Step Tool Use
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http://arxiv.org/abs/2603.03205v1
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- Learning to Generate and Extract: A Multi-Agent Collaboration Framework For Zero-shot Document-level Event Arguments Extraction
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http://arxiv.org/abs/2603.02909v1
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### AI Infrastructure / Inference Optimization
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- Density-Guided Response Optimization: Community-Grounded Alignment via Implicit Acceptance Signals
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http://arxiv.org/abs/2603.03242v1
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- SynthCharge: An Electric Vehicle Routing Instance Generator with Feasibility Screening to Enable Learning-Based Optimization and Benchmarking
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http://arxiv.org/abs/2603.03230v1
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- Understanding and Mitigating Dataset Corruption in LLM Steering
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http://arxiv.org/abs/2603.03206v1
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- Type-Aware Retrieval-Augmented Generation with Dependency Closure for Solver-Executable Industrial Optimization Modeling
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http://arxiv.org/abs/2603.03180v1
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- Conditioned Activation Transport for T2I Safety Steering
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http://arxiv.org/abs/2603.03163v1
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- Channel-Adaptive Edge AI: Maximizing Inference Throughput by Adapting Computational Complexity to Channel States
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http://arxiv.org/abs/2603.03146v1
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- AI Space Physics: Constitutive boundary semantics for open AI institutions
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http://arxiv.org/abs/2603.03119v1
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- MoD-DPO: Towards Mitigating Cross-modal Hallucinations in Omni LLMs using Modality Decoupled Preference Optimization
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http://arxiv.org/abs/2603.03192v1
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- TAO-Attack: Toward Advanced Optimization-Based Jailbreak Attacks for Large Language Models
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http://arxiv.org/abs/2603.03081v1
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- Adaptive Methods Are Preferable in High Privacy Settings: An SDE Perspective
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http://arxiv.org/abs/2603.03226v1
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---
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*Generated by AINewsCollector*
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