AINewsCollector/daily/2026-03-04_en.md

AI Daily Brief - 2026-03-04

Collected at: 3/4/2026, 11:01:07 PM Total items: 113

🔥 Top 10 Highlights

1. AI-for-Science Low-code Platform with Bayesian Adversarial Multi-Agent Framework http://arxiv.org/abs/2603.03233v1

2. AgentConductor: Topology Evolution for Multi-Agent Competition-Level Code Generation https://huggingface.co/papers/2602.17100

3. Token Reduction via Local and Global Contexts Optimization for Efficient Video Large Language Models https://huggingface.co/papers/2603.01400

4. Speculative Speculative Decoding http://arxiv.org/abs/2603.03251v1

5. Conditioned Activation Transport for T2I Safety Steering https://huggingface.co/papers/2603.03163

6. Learning When to Act or Refuse: Guarding Agentic Reasoning Models for Safe Multi-Step Tool Use https://huggingface.co/papers/2603.03205

7. InfoPO: Information-Driven Policy Optimization for User-Centric Agents https://huggingface.co/papers/2603.00656

8. Qwen3-Coder-Next Technical Report https://huggingface.co/papers/2603.00729

9. BeyondSWE: Can Current Code Agent Survive Beyond Single-Repo Bug Fixing? https://huggingface.co/papers/2603.03194

10. Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? https://huggingface.co/papers/2603.03202

📂 Categories

AI Coding Tools / Code Agent

• Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? http://arxiv.org/abs/2603.03202v1
• BeyondSWE: Can Current Code Agent Survive Beyond Single-Repo Bug Fixing? http://arxiv.org/abs/2603.03194v1

Agent Frameworks

• Saarthi for AGI: Towards Domain-Specific General Intelligence for Formal Verification http://arxiv.org/abs/2603.03175v1
• Learning When to Act or Refuse: Guarding Agentic Reasoning Models for Safe Multi-Step Tool Use http://arxiv.org/abs/2603.03205v1
• Learning to Generate and Extract: A Multi-Agent Collaboration Framework For Zero-shot Document-level Event Arguments Extraction http://arxiv.org/abs/2603.02909v1

AI Infrastructure / Inference Optimization

• Density-Guided Response Optimization: Community-Grounded Alignment via Implicit Acceptance Signals http://arxiv.org/abs/2603.03242v1
• SynthCharge: An Electric Vehicle Routing Instance Generator with Feasibility Screening to Enable Learning-Based Optimization and Benchmarking http://arxiv.org/abs/2603.03230v1
• Understanding and Mitigating Dataset Corruption in LLM Steering http://arxiv.org/abs/2603.03206v1
• Type-Aware Retrieval-Augmented Generation with Dependency Closure for Solver-Executable Industrial Optimization Modeling http://arxiv.org/abs/2603.03180v1
• Conditioned Activation Transport for T2I Safety Steering http://arxiv.org/abs/2603.03163v1
• Channel-Adaptive Edge AI: Maximizing Inference Throughput by Adapting Computational Complexity to Channel States http://arxiv.org/abs/2603.03146v1
• AI Space Physics: Constitutive boundary semantics for open AI institutions http://arxiv.org/abs/2603.03119v1
• MoD-DPO: Towards Mitigating Cross-modal Hallucinations in Omni LLMs using Modality Decoupled Preference Optimization http://arxiv.org/abs/2603.03192v1
• TAO-Attack: Toward Advanced Optimization-Based Jailbreak Attacks for Large Language Models http://arxiv.org/abs/2603.03081v1
• Adaptive Methods Are Preferable in High Privacy Settings: An SDE Perspective http://arxiv.org/abs/2603.03226v1

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