…Our proposed framework supports a wide range of logics: from simple implication-only logic ("if-then") towards more expressive first-order reasoning with conjunction ("and"), disjunction ("or"), negation ("not"), and universal quantification…
…The YOLO family has become widely deployed for this reason, yet most YOLO detectors still rely on non-maximum suppression at inference, carry heavy detection heads due to Distribution Focal Loss , require…
…Emre Ardıç , Abstract Federated learning sample selection methods using multitask autoencoders, outlier detection techniques, and deep support vector data description enhance model accuracy under non-IID and noisy conditions. AI-generated summary…
…Results demonstrate that LenVM supports a broad range of applications and token length can be effectively modeled as a token-level value signal, highlighting the potential of LenVM as a general framework…
…Manan Tayal Abstract A Gymnasium-compatible multi-drone simulation environment built on MuJoCo physics engine that supports flexible physics models, action interfaces, and observation spaces for reinforcement learning applications. Generated by Qwen…
…Theoretically, we prove that DOMINO expands the support of the synthetic data distribution , ensuring greater diversity. Empirically, on challenging coding benchmarks where domain definitions are implicit, fine-tuning on data synthesized by…
…To support multiple robot platforms, we introduce embodiment-aware prompt conditioning , where robot-specific textual descriptions specify the current embodiment and control convention. We further cast manipulation, navigation, and trajectory prediction into…
…Despite their success, they suffer from hallucinations , implausible samples that lie outside the support of true data distribution, which degrade reliability and trust. In this work, we first empirically confirm previously proposed…
…Budgeted Spectral Plasticity for Robust Low-Rank Adaptation (2026) Stabilizing LLM Supervised Fine-Tuning via Explicit Distributional Control (2026) LOFT: Low-Rank Orthogonal Fine-Tuning via Task-Aware Support Selection (2026) LoCO…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Auto-harness systems such as A-Evolve, GEPA, and Meta-Harness improve LLM agents by optimizing prompts, skills, tools, memories, and supporting infrastructure from…