AI Native Daily Paper Digest – 20260122

1. Agentic Reasoning for Large Language Models

🔑 Keywords: Agentic reasoning, Large language models, Autonomous agents, Reinforcement learning, Real-world applications

💡 Category: Knowledge Representation and Reasoning

🌟 Research Objective:

– The study aims to redefine large language models as autonomous agents capable of planning, acting, and learning in dynamic environments across both single-agent and multi-agent frameworks.

🛠️ Research Methods:

– The research organizes agentic reasoning into three layers: foundational agentic reasoning, self-evolving agentic reasoning, and collective multi-agent reasoning. It explores both in-context and post-training reasoning methods.

💬 Research Conclusions:

– The survey provides a unified roadmap synthesizing agentic reasoning methods and outlines open challenges and future directions, including personalization and scalable multi-agent training for real-world deployment.

👉 Paper link: https://huggingface.co/papers/2601.12538

2. MMDeepResearch-Bench: A Benchmark for Multimodal Deep Research Agents

🔑 Keywords: multimodal understanding, citation-grounded report generation, AI-generated summary, deep research agents, multimodal integrity

💡 Category: Multi-Modal Learning

🌟 Research Objective:

– The study introduces MMDeepResearch-Bench to assess multimodal research agents in generating reports with visual evidence, analyzing the balance between prose quality, citation accuracy, and visual grounding.

🛠️ Research Methods:

– MMDeepResearch-Bench includes 140 expert-crafted tasks across 21 domains, utilizing image-text bundles to test multimodal understanding and citation-grounded reporting.

– It proposes a unified evaluation pipeline consisting of Formula-LLM Adaptive Evaluation, Trustworthy Retrieval-Aligned Citation Evaluation, and Multimodal Support-Aligned Integrity Check for detailed assessment beyond a single score.

💬 Research Conclusions:

– Experiments with 25 state-of-the-art models reveal that strong prose does not ensure accurate evidence use, and that multimodal integrity is a significant challenge for advancing deep research agents.

👉 Paper link: https://huggingface.co/papers/2601.12346