Papers arxiv:2605.14445 FrontierSmith: Synthesizing Open-Ended Coding Problems at Scale Published on May 14 Submitted by Qiuyang Mang on May 15 Authors: , , , , , , , , , , , , , , , , Abstract FrontierSmith automates the creation of open-ended coding problems from closed-ended tasks, improving LLM… …
… Rewriting strategies for code retrieval Published on May 8 Submitted by Andrea Gurioli on May 13 Authors: , , Abstract Research investigates how different text rewriting strategies impact code retrieval performance, identifying that full natural language rewriting provides the greatest improvements… …
Papers arxiv:2605.09423 SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Published on May 10 Submitted by taesiri on May 12 Authors: , Xiaokang Ye , , , , , , Abstract SimWorld Studio presents an open-source platform using Unreal Engine 5 and … …
… A natural question arises: can frontier coding assistants reliably automate this evaluation process? Our study shows that simply prompting coding assistants is insufficient for this task. …
Papers arxiv:2605.12438 A Causal Language Modeling Detour Improves Encoder Continued Pretraining Published on May 12 Submitted by Rian Touchent on May 13 ALMAnaCH (Inria) Authors: Rian Touchent , Abstract Switching from…
…Reasoning (2026) Think Anywhere in Code Generation (2026) HintMR: Eliciting Stronger Mathematical Reasoning in Small Language Models (2026) Efficient Reasoning on the Edge (2026) Post Reasoning: Improving the Performance of Non-Thinking…
…Massimo Rondelli , Francesco Pivi , Abstract BlenderRAG enhances natural language to Blender code generation by leveraging a retrieval-augmented approach with a curated multimodal dataset, improving both compilation success and semantic alignment without…
… AI-generated summary Coding harnesses such as Claude Code and OpenHands wrap foundation models with tools, memory, and planning, but no equivalent exists for embodied agents ' long-horizon partial-observability decision-making . …
… As large language models demonstrate advanced capabilities in reasoning, coding, and engineering tasks, it is increasingly important to understand whether they can discover such methods rather than only apply existing ones. …
Papers arxiv:2605.08083 LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling Published on May 8 Submitted by Chengsong Huang on May 11 #3 Paper of the day Google Authors: Tong…