… Whereas olympiad-style problems measure step-by-step reasoning alone, research-level problems use such reasoning to advance the frontier of mathematical knowledge itself, emerging as a compelling alternative. …
… However, existing TTS strategies are largely hand-crafted: researchers manually design reasoning patterns and tune heuristics by intuition, leaving much of the computation-allocation space unexplored. …
… This question naturally arises when building deep research systems. We revisit it by pairing BM25 with frontier LLMs that have better reasoning and tool-use abilities. …
… We evaluate generated videos with a human-aligned two-part methodology: Process-aware Reasoning Verification uses structured QA and reasoning-phase diagnostics to detect temporal and causal failures, while Multi-dimensional Quality Assessment scores reasoning quality, temporal consistency, and visu… …
… To achieve this, we propose a systematic framework with two key components: 1 LLMConfig-Gym , a multi-fidelity environment encompassing four critical LLM experiment tasks, supported by over one million GPU hours of verifiable experiment outcomes; 2 A structured training pipeline that formulates con… …
… View arXiv page View PDF Project page GitHub 10 Add to collection Community LychSim is a highly controllable, interactive simulation framework built on Unreal Engine 5, designed to lower the technical barrier of using a modern game engine for computer vision research. …
… PlantMarkerBench provides a challenging and reproducible evaluation framework for literature-grounded biological evidence attribution and supports future research on trustworthy scientific information extraction and AI-assisted plant biology. …
… That’s exactly what developers and researchers need if these models are going to be experimented with, fine-tuned, and embedded into real products rather than living only in benchmarks. It’s also refreshing to see clear guidance around reasoning traces, chat templates, and evaluation pitfalls. …
Papers arxiv:2605.10781 Rebellious Student: Reversing Teacher Signals for Reasoning Exploration with Self-Distilled RLVR Published on May 11 Submitted by JeonghyeKim on May 12 Microsoft Research Authors: , , , Abstract RLRT enhances self-distillation by reinforcing successful student decisions that… …
Papers arxiv:2605.12497 From Web to Pixels: Bringing Agentic Search into Visual Perception Published on May 12 Submitted by taesiri on May 13 Authors: , , , , , Abstract Researchers introduce WebEye, a benchmark for object localization requiring external knowledge resolution, and Pixel-Searcher, an… …