…Although solving MAPF optimally is NP-hard, scalable and efficient solvers are critical for real-world applications such as logistics and search-and-rescue. To this end, the research community has proposed…
…Empirical results on synthetic and real-world datasets demonstrate that our approach reduces hallucinations (up to ~25%) while maintaining high fidelity and diversity, providing a principled step toward more reliable diffusion-based…
…However, their reliance on language as the universal interface fundamentally limits their applicability to many real-world problems, especially in scientific domains where domain-specific foundation models have been developed to address…
…AI-generated summary Many real-world tasks require language models (LMs) to reason over complex contexts that exceed their parametric knowledge. This calls for context learning , where LMs directly learn relevant knowledge…
…We evaluate NRI on rule recovery, robustness to label noise and spurious correlations, and zero-shot transfer to real-world benchmarks, and we believe this work opens up the possibility of foundation…
…We use this signal in Probe&Prefill, reducing tool calls by 48% with only 1.7% accuracy loss, and reducing real-world Search-o1 API calls by 20–56% with no accuracy…
…ambiguities in societal regulations to discover loopholes that bypass regulatory intent, posing safety risks for real-world deployment. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Reinforcement learning (RL) has become a…
…Crucially, we utilize the real-world KITTI benchmark as a stress test for multi-modal reliance. Counter-factual evaluation reveals that while baselines degenerate into unimodal template retrievers insensitive to visual removal…
…Benchmarking Continual Learning Methods for Agent Skill Generation on Real-World Tasks (2026) CLEAR: Context Augmentation from Contrastive Learning of Experience via Agentic Reflection (2026) Co-Evolving LLM Decision and Skill Bank…
…Despite this advantage, most existing DLMs rely on a fixed generation length specified prior to decoding, which restricts their flexibility in real-world applications. While a few recent works attempt to support…