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Showing 1101–1125 of 659983 papers

TitleStatusHype
Reframing Long-Tailed Learning via Loss Landscape Geometry—0
ConsRoute:Consistency-Aware Adaptive Query Routing for Cloud-Edge-Device Large Language Models—0
Amortized Variational Inference for Logistic Regression with Missing Covariates—0
Accelerate Vector Diffusion Maps by Landmarks—0
Graph Fusion Across Languages using Large Language Models—0
Graph of States: Solving Abductive Tasks with Large Language Models—0
The Library Theorem: How External Organization Governs Agentic Reasoning Capacity—0
Aggregation Alignment for Federated Learning with Mixture-of-Experts under Data Heterogeneity—0
Conversation Tree Architecture: A Structured Framework for Context-Aware Multi-Branch LLM Conversations—0
Closed-form conditional diffusion models for data assimilation—0
AutoKernel: Autonomous GPU Kernel Optimization via Iterative Agent-Driven Search—0
EmoTaG: Emotion-Aware Talking Head Synthesis on Gaussian Splatting with Few-Shot Personalization—0
ARYA: A Physics-Constrained Composable & Deterministic World Model Architecture—0
RoboAlign: Learning Test-Time Reasoning for Language-Action Alignment in Vision-Language-Action Models—0
Generalized Discrete Diffusion from Snapshots—0
The AI Scientific Community: Agentic Virtual Lab Swarms—0
Efficient Coarse-to-Fine Diffusion Models with Time Step Sequence Redistribution—0
Respiratory Status Detection with Video Transformers—0
Beyond Memorization: Distinguishing between Reductive and Epistemic Reasoning in LLMs using Classic Logic Puzzles—0
The Workload-Router-Pool Architecture for LLM Inference Optimization: A Vision Paper from the vLLM Semantic Router Project—0
FluidGaussian: Propagating Simulation-Based Uncertainty Toward Functionally-Intelligent 3D Reconstruction—0
AgentHER: Hindsight Experience Replay for LLM Agent Trajectory Relabeling—0
Benchmarking Bengali Dialectal Bias: A Multi-Stage Framework Integrating RAG-Based Translation and Human-Augmented RLAIF—0
AdaRubric: Task-Adaptive Rubrics for LLM Agent Evaluation—0
TIDE: Token-Informed Depth Execution for Per-Token Early Exit in LLM Inference—0
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