…We follow a single request -- a developer asking a coding agent to fix a failing test -- through four economic layers that today are designed in isolation: a router that decides which model…
…Self-Evolving Agent Skills via Co-Evolutionary Verification (2026) TREX: Automating LLM Fine-tuning via Agent-Driven Tree-based Exploration (2026) EvoAgent: An Evolvable Agent Framework with Skill Learning and Multi-Agent…
…AI-generated summary Frontier coding agents solve complex tasks when given complete context but collapse when specifications are incomplete or ambiguous. The bottleneck is not raw capability, but judgment: knowing when to…
…We release FastKernels as a stepping stone toward kernel agents whose benchmark gains translate directly into production throughput improvements. Code is available at https://github.com/Snowflake-AI-Research/ fastkernels View arXiv…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Monitoring autonomous language model agents currently relies mostly on surface behavior. But what happens when agent populations invent new languages with the goal of…
…code RC-7291 →
…Advancing PRMs for Reinforcing Code Agents (2026) Stabilizing Efficient Reasoning with Step-Level Advantage Selection (2026) Doing More With Less: Revisiting the Effectiveness of LLM Pruning for Test-Time Scaling (2026) EnvSimBench…
…View arXiv page View PDF Add to collection Community SEIG is an agentic framework that reconstructs 3D scenes from single images by progressively generating executable Blender code, enabling novel-view synthesis, scene…
…Empirically, we demonstrate that our approach achieves consistent improvements across a range of challenging text-based and GUI-based agent benchmarks. Code is available at https://github.com/HansenHua/EAPO-ICML26 and…
…and Prompt Engineering for Code Generation (2026) A Systematic Approach for Large Language Models Debugging (2026) Who Tests the Testers? Systematic Enumeration and Coverage Audit of LLM Agent Tool Call Safety (2026…
