…Incentivizing Instance-level Video Understanding via Native Agentic Tool Invocation (2026) SVFSearch: A Multimodal Knowledge-Intensive Benchmark for Short-Video Frame Search in the Gaming Vertical Domain (2026) Towards Temporal Compositional Reasoning…
…Coding agents, tool-use systems, planning workflows, and long-context applications all require models to maintain constraints, variables, commitments, and intermediate states over time. The procedural breakdown in these cases are not…
…capabilities like coding, reasoning, and tool use. 💡 The core challenge is that mid-training corpora are extremely heterogeneous, mixing web documents, code, math, agent traces, and tool-use logs, so no single…
…A Multi-Agent LLM Framework with Specialized Analyzers (2026) AnomalyAgent: Training-Free Agentic Models for Zero-/Few-Shot Anomaly Detection (2026) IndusAgent: Reinforcing Open-Vocabulary Industrial Anomaly Detection with Agentic Tools (2026…
…Hyeon Hwang , , Abstract ThinC framework enables mathematical problem solving where code serves as the primary reasoning mechanism instead of a verification tool, demonstrating superior performance on math benchmarks. AI-generated summary Tool…
…Controlled Benchmark Rewriting and Analogical Reasoning for Deceptive Out-of-Distribution Scenarios (2026) Who Tests the Testers? Systematic Enumeration and Coverage Audit of LLM Agent Tool Call Safety (2026) Visual Confused Deputy…
…Repurposing Git Commit Messages as a Structured Knowledge Protocol for AI Coding Agents (2026) Test-Driven AI Agent Definition (TDAD): Compiling Tool-Using Agents from Behavioral Specifications (2026) Project Prometheus: Bridging the…
…In this paper, we equip these context optimizers with Wikipedia search and browser tools for active information seeking . We show that naively adding these tools to a standard sequential context optimization pipeline…
…Measuring Exploits in LLM Agents with Tool Use (2026) When RLHF Fails: A Mechanistic Taxonomy of Reward Hacking, Collapse, and Evaluator Gaming (2026) Debate as Reward: A Multi-Agent Reward System for…
…Gianluca Barmina , , , Lukas Galke Poech , Abstract BrainSurgery is a tool for robust and reproducible tensor manipulation of neural network checkpoints through declarative YAML plans with built-in validation. Generated by Qwen/Qwen2…