Key papers

• FinToolBench: Evaluating LLM Agents for Real-World Financial Tool Use (2026)
  Jiaxuan Lu et al.
  1.94
• Act Wisely: Cultivating Meta-Cognitive Tool Use in Agentic Multimodal Models (2026)
  Shilin Yan et al.
  1.94
• VoxMind: An End-to-End Agentic Spoken Dialogue System (2026)
  Tianle Liang et al.
  1.94
• Latent Preference Modeling for Cross-Session Personalized Tool Calling (2026)
  Yejin Yoon 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
• Efficient Agentic Reinforcement Learning with On-Policy Intrinsic Knowledge Boundary Enhancement (2026)
  Dingwei Chen et al.
  1.94
• LiveBrowseComp: Are Search Agents Searching, or Just Verifying What They Already Know? (2026)
  HuiMing Fan et al.
  1.94
• Adaptive Auto-Harness: Sustained Self-Improvement for Agentic System Deployment on Open-Ended Task Streams (2026)
  Zewen Liu et al.
  1.94
• Towards Verifiable Multimodal Deep Research: A Multi-Agent Harness for Interleaved Report Generation (2026)
  Chenghao Zhang et al.
  1.89
• ASA: Training-Free Representation Engineering for Tool-Calling Agents (2026)
  Youjin Wang et al.
  1.72
• Model Context Protocol (MCP) Tool Descriptions Are Smelly! Towards Improving AI Agent Efficiency with Augmented MCP Tool Descriptions (2026)
  Mohammed Mehedi Hasan et al.
  1.72
• Agentic Reasoning for Large Language Models (2026)
  Tianxin Wei et al.
  1.67
• An Empirical Study on Eliciting and Improving R1-like Reasoning Models (2025)
  Zhipeng Chen et al.
  1.28
• CoSTAast: Cost-Sensitive Toolpath Agent for Multi-turn Image Editing (2025)
  Advait Gupta et al.
  1.28
• DiaTool-DPO: Multi-Turn Direct Preference Optimization for Tool-Augmented Large Language Models (2025)
  Sunghee Jung et al.
  1.28
• OpenThinkIMG: Learning to Think with Images via Visual Tool Reinforcement Learning (2025)
  Zhaochen Su et al.
  1.28
• Deep Video Discovery: Agentic Search with Tool Use for Long-form Video Understanding (2025)
  Xiaoyi Zhang 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
• AlphaApollo: Orchestrating Foundation Models and Professional Tools into a Self-Evolving System for Deep Agentic Reasoning (2025)
  Zhanke Zhou et al.
  1.28
• MSC-Bench: A Rigorous Benchmark for Multi-Server Tool Orchestration (2025)
  Jia-Kai Dong et al.
  1.28
• Agent Data Protocol: Unifying Datasets for Diverse, Effective Fine-tuning of LLM Agents (2025)
  Yueqi Song et al.
  1.28
• Thinking with Programming Vision: Towards a Unified View for Thinking with Images (2025)
  Zirun Guo et al.
  1.28
• AdaptVision: Efficient Vision-Language Models via Adaptive Visual Acquisition (2025)
  Zichuan Lin et al.
  1.28
• StarCoder: may the source be with you! (2023)
  Raymond Li et al.
  —
• Counterfactuals for Design: A Model-Agnostic Method For Design Recommendations (2023)
  Lyle Regenwetter et al.
  —
• LLM-Grounder: Open-Vocabulary 3D Visual Grounding with Large Language Model as an Agent (2023)
  Jianing Yang et al.
  —
• PPTC Benchmark: Evaluating Large Language Models for PowerPoint Task Completion (2023)
  Yiduo Guo et al.
  —
• LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents (2023)
  Shilong Liu et al.
  —
• Very Large-Scale Multi-Agent Simulation in AgentScope (2024)
  Xuchen Pan et al.
  —
• The Llama 3 Herd of Models (2024)
  Abhimanyu Dubey et al.
  —
• Automated Design of Agentic Systems (2024)
  Shengran Hu et al.
  —
• Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale (2024)
  Rogerio Bonatti et al.
  —
• MATATA: a weak-supervised MAthematical Tool-Assisted reasoning for Tabular Applications (2024)
  Vishnou Vinayagame et al.
  —