…the default BM25 setting, while increasing retrieval depth further improves surfaced evidence recall by 25.3% over the shallow-retrieval setting. Source code is available at https://github.com/justram/ pi-serini…
…a self-verification framework for agentic search that improves accuracy through decomposed sub-question checking and trajectory selection. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Agentic search requires language model agents…
…MAIC-UI is a zero-code system for creating interactive STEM courseware that uses structured knowledge analysis and incremental generation to enable rapid editing and improve educational outcomes. AI-generated summary Creating…
…improves mean CORE performance while adding negligible parameters and incurring only a small computational overhead, demonstrating that confidence-aware gate sharpness is a promising mechanism for improving MoE MLPs. The code is…
…preserving, and filtering relevant information, and can be improved using reinforcement learning and representation-level steering techniques. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Long-horizon interactions require language models to…
…the main improvements behind GLM-5V-Turbo across model design, multimodal training, reinforcement learning, toolchain expansion, and integration with agent frameworks. These developments lead to strong performance in multimodal coding, visual tool…
Papers arxiv:2605.12975 Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation Published on May 13 Submitted by Jiashuo Sun on May 14 University of…
…Code and data are available at https://github.com/george-QF/TMAS-code. View arXiv page View PDF GitHub 4 Add to collection Community TL;DR: TMAS improves test-time scaling by…
…AI-generated summary The continued improvements in language model capability have unlocked their widespread use as drivers of autonomous agents, for example in coding or computer use applications. However, the core of…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Video world models (WMs) have shown promise for policy evaluation and improvement by imagining realistic future observations conditioned on ego-robot actions. While WMs…