Papers

• VoxMind: An End-to-End Agentic Spoken Dialogue System (2026)
  Tianle Liang et al.
  1.94
• Orchard: An Open-Source Agentic Modeling Framework (2026)
  Baolin Peng et al.
  1.94
• Code as Agent Harness (2026)
  Xuying Ning et al.
  1.94
• Advancing Creative Physical Intelligence in Large Multimodal Models (2026)
  Cheng Qian et al.
  1.94
• Towards Verifiable Multimodal Deep Research: A Multi-Agent Harness for Interleaved Report Generation (2026)
  Chenghao Zhang et al.
  1.89
• Agentic Reasoning for Large Language Models (2026)
  Tianxin Wei et al.
  1.67
• Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts (2025)
  Clément Desroches et al.
  1.28
• CoSTAast: Cost-Sensitive Toolpath Agent for Multi-turn Image Editing (2025)
  Advait Gupta et al.
  1.28
• VerlTool: Towards Holistic Agentic Reinforcement Learning with Tool Use (2025)
  Dongfu Jiang et al.
  1.28
• The Landscape of Agentic Reinforcement Learning for LLMs: A Survey (2025)
  Guibin Zhang et al.
  1.28
• Scaling Agents via Continual Pre-training (2025)
  Liangcai Su et al.
  1.28
• Video models are zero-shot learners and reasoners (2025)
  Thaddäus Wiedemer et al.
  1.28
• UltraHorizon: Benchmarking Agent Capabilities in Ultra Long-Horizon Scenarios (2025)
  Haotian Luo et al.
  1.28
• Beyond Pipelines: A Survey of the Paradigm Shift toward Model-Native Agentic AI (2025)
  Jitao Sang et al.
  1.28
• Agent Data Protocol: Unifying Datasets for Diverse, Effective Fine-tuning of LLM Agents (2025)
  Yueqi Song et al.
  1.28
• LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents (2023)
  Shilong Liu et al.
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• DeepSeek-VL: Towards Real-World Vision-Language Understanding (2024)
  Haoyu Lu et al.
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• HEMM: Holistic Evaluation of Multimodal Foundation Models (2024)
  Paul Pu Liang et al.
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• Automated Design of Agentic Systems (2024)
  Shengran Hu et al.
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• MATATA: a weak-supervised MAthematical Tool-Assisted reasoning for Tabular Applications (2024)
  Vishnou Vinayagame et al.
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