「SHAP」の検索結果
17 件Deep research agents have demonstrated remarkable capabilities in complex information-seeking tasks, yet this
Understanding what generative models retain from training data remains challenging, with implications for copy
Latent visual reasoning (LVR) inserts supervised latent tokens between perception and answer generation in vis
Evaluating LLM mediators remains challenging, as mediation unfolds as a real-time trajectory shaped by disputa
Multimodal Large Language Models (MLLMs) excel at 2D semantic understanding but lack intrinsic 3D awareness, r
Autonomous driving requires reasoning about how ego actions shape the evolution of the surrounding world. Howe
Muon improves training efficiency over Adam in large language-model training by about two times, but the local
Learning representations of CAD models is a largely open problem. While 3D representation learning has flouris
Autoregressive mesh generation has gained attention by tokenizing meshes into sequences and training models in
Koopman theory turns nonlinear dynamics into a linear spectral problem. In computation, however, everything de
3D vision has rapidly evolved, driven by increasingly diverse data representations, learning paradigms, and mo
Few-step distillation has become an effective strategy for accelerating advanced visual generative models, yet
Large language models improve final-answer accuracy through extended chain-of-thought reasoning, but often spe
How can a population of agents self-orchestrate and self-adapt into stronger collective intelligence without c
Large Language Models exhibit paradoxical fragility in fundamental arithmetic, implying a disconnect between i
Reinforcement Learning with Verifiable Rewards (RLVR) has recently emerged as the cornerstone for shaping the
Humans are the bottleneck in building and improving AI. Both the models and the agents that wrap them are writ