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…Our evaluation shows that current frontier models are far from representation-invariant reasoners : performance degrades on average as information moves from language to diagrams, with visual variable grounding as the most critical…
…AI-generated summary With the advancement of multimodal large language models (MLLMs) and coding agents , the website development has shifted from manual programming to agent-based project-level code synthesis. Existing benchmarks…
…AI-generated summary Accurately understanding the intent behind speech, conversation, and writing is crucial to the development of helpful Large Language Model (LLM) assistants. This paper introduces IntentGrasp, a comprehensive benchmark for…
…While AgentRunbook-C advances the accuracy-latency Pareto frontier, substantial room for improvement remains. Together, these results establish LME-V2 as a challenging testbed for developing long-term memory systems for environment…
Papers arxiv:2605.05724 Auto Research with Specialist Agents Develops Effective and Non-Trivial Training Recipes Published on May 7 Submitted by Ethan Ning on May 8 Carnegie Mellon University Authors: Jingjie…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Mid-training has become an important stage in modern LLM development, using large-scale curated mixtures to strengthen capabilities before final post-training. Its…
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