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Latest Research — Page 40

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• Synthetic Object Compositions for Scalable and Accurate Learning in Detection, Segmentation, and Grounding
• Gap-K%: Measuring Top-1 Prediction Gap for Detecting Pretraining Data
• Interpretation as Linear Transformation: A Cognitive-Geometric Model of Concepts and Meaning
• REXO: Indoor Multi-View Radar Object Detection via 3D Bounding Box Diffusion
• Discovering Interpretable Algorithms by Decompiling Transformers to RASP
• SpecAttn: Speculating Sparse Attention
• RAD: Rule-Augmented Relational Anomaly Detection
• R3G: A Reasoning-Retrieval-Reranking Framework for Vision-Centric Answer Generation
• Reference Games as a Testbed for the Alignment of Model Uncertainty and Clarification Requests
• Optimal Bayesian Stopping for Efficient Inference of Consistent LLM Answers
• Implicit-Scale 3D Reconstruction for Multi-Food Volume Estimation from Monocular Images
• Tracking and Segmenting Anything in Any Modality
• WNM-3D: A World Navigation Model with 3D Scene Conditioning for Closed-Loop VLN
• DeepFedNAS: Efficient Hardware-Aware Architecture Adaptation for Heterogeneous IoT Federations via Pareto-Guided Supernet Training
• LLM-Mediated Demand Response Coordination in Smart Microgrids
• Q-DiT4SR: Exploration of Detail-Preserving Diffusion Transformer Quantization for Real-World Image Super-Resolution
• TimeSearch-R: Adaptive Temporal Search for Long-Form Video Understanding via Self-Verification Reinforcement Learning
• MCP vs RAG vs NLWeb vs HTML: A Comparison of the Effectiveness and Efficiency of Different Agent Interfaces to the Web (Technical Report)
• AVERE: Improving Audiovisual Emotion Reasoning with Preference Optimization
• NiuTrans.LMT: Toward Inclusive and Scalable Multilingual Machine Translation with LLMs
• Uncovering Competency Gaps in Large Language Models and Their Benchmarks
• History-Aware Reasoning for GUI Agents
• Reasoning While Asking: Transforming Reasoning Large Language Models from Passive Solvers to Proactive Inquirers
• Federated Learning via Meta-Variational Dropout
• Governing Well in the Algorithmic Age: The Foundations of Digital Statecraft
• Uncertainty Estimation by Flexible Evidential Deep Learning
• Redundancy-Aware Test-Time Graph Out-of-Distribution Detection
• CHDP: Cooperative Hybrid Diffusion Policies for Reinforcement Learning in Parameterized Action Space
• Brain-IT: Image Reconstruction from fMRI via Brain-Interaction Transformer
• Transfer Learning in Nonparametric Regression with Deep ReLU Networks
• RecalibrateGPT: AI Fatigue Resilient Conversational Interfaces
• Robust Ego-Exo Correspondence with Long-Term Memory
• ProxyFL: A Proxy-Guided Framework for Federated Semi-Supervised Learning
• MeSH: Memory-as-State-Highways for Recursive Transformers
• Life, Machine Learning, and the Search for Habitability: Predicting Biosignature Fluxes for the Habitable Worlds Observatory
• Scalable Deep Subspace Clustering Network
• LISTEN to Your Preferences: An LLM Framework for Multi-Objective Selection
• Variance Driven Exploration: A Provable and Efficient Methodology for Pure Exploration in Highly Stochastic Environments
• CycliST: A Video Language Model Benchmark for Reasoning on Cyclical State Transitions
• Ostrich: Taking Large Strides Through Stiff Contact in Differentiable Dynamics