Mini toolsPapers
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Em-Garde: A Propose-Match Framework for Proactive Streaming Video Understanding
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SignAgent: Agentic LLMs for Linguistically-Grounded Sign Language Annotation and Dataset Curation
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Hardness of High-Dimensional Linear Classification
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Reason-to-Transmit: Deliberative Adaptive Communication for Cooperative Perception
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Parallelograms Strike Back: LLMs Generate Better Analogies than People
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Communication-Efficient and Robust Multi-Modal Federated Learning via Latent-Space Consensus
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CAMO: A Conditional Neural Solver for the Multi-objective Multiple Traveling Salesman Problem
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DROID-SLAM in the Wild
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Multi-Modal Building Change Detection for Large-Scale Small Changes: Benchmark and Baseline
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A Dataset and Resources for Identifying Patient Health Literacy Information from Clinical Notes
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Serendipity by Design: Evaluating the Impact of Cross-domain Mappings on Human and LLM Creativity
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Position: Spectral GNNs Are Neither Spectral Nor Superior for Node Classification
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SAVeS: Steering Safety Judgments in Vision-Language Models via Semantic Cues
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DaPT: A Dual-Path Framework for Multilingual Multi-hop Question Answering
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TAU-R1: Visual Language Model for Traffic Anomaly Understanding
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LuMamba: Latent Unified Mamba for Electrode Topology-Invariant and Efficient EEG Modeling
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FedTrident: Resilient Road Condition Classification Against Poisoning Attacks in Federated Learning
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How Uncertainty Estimation Scales with Sampling in Reasoning Models
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CustomTex: High-fidelity Indoor Scene Texturing via Multi-Reference Customization
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Revisiting Autoregressive Models for Generative Image Classification
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Exploring the Agentic Frontier of Verilog Code Generation
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On Optimizing Multimodal Jailbreaks for Spoken Language Models
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From Inference Efficiency to Embodied Efficiency: Revisiting Efficiency Metrics for Vision-Language-Action Models
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Adaptive Regime-Aware Stock Price Prediction Using Autoencoder-Gated Dual Node Transformers with Reinforcement Learning Control
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GSMem: 3D Gaussian Splatting as Persistent Spatial Memory for Zero-Shot Embodied Exploration and Reasoning
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Implicit Patterns in LLM-Based Binary Analysis
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Hierarchical Latent Structure Learning through Online Inference
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SHAPCA: Consistent and Interpretable Explanations for Machine Learning Models on Spectroscopy Data
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Anatomical Heterogeneity in Transformer Language Models
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UGID: Unified Graph Isomorphism for Debiasing Large Language Models
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A Mathematical Theory of Understanding
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Enhancing Pretrained Model-based Continual Representation Learning via Guided Random Projection
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D5P4: Partition Determinantal Point Process for Diversity in Parallel Discrete Diffusion Decoding
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Fast and Effective Computation of Generalized Symmetric Matrix Factorization
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Optimal Splitting of Language Models from Mixtures to Specialized Domains
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VEPO: Variable Entropy Policy Optimization for Low-Resource Language Foundation Models
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ADAPT: Attention Driven Adaptive Prompt Scheduling and InTerpolating Orthogonal Complements for Rare Concepts Generation
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Adaptive Auxiliary Prompt Blending for Target-Faithful Diffusion Generation
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GraphiContact: Pose-aware Human-Scene Robust Contact Perception for Interactive Systems
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cuGenOpt: A GPU-Accelerated General-Purpose Metaheuristic Framework for Combinatorial Optimization
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Rigorous Error Certification for Neural PDE Solvers: From Empirical Residuals to Solution Guarantees
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Meanings and Measurements: Multi-Agent Probabilistic Grounding for Vision-Language Navigation
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Evaluating Counterfactual Strategic Reasoning in Large Language Models
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ARIADNE: A Perception-Reasoning Synergy Framework for Trustworthy Coronary Angiography Analysis
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DyMoE: Dynamic Expert Orchestration with Mixed-Precision Quantization for Efficient MoE Inference on Edge
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SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits
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Few-shot Acoustic Synthesis with Multimodal Flow Matching
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Box Maze: A Process-Control Architecture for Reliable LLM Reasoning
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MIDST Challenge at SaTML 2025: Membership Inference over Diffusion-models-based Synthetic Tabular data
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Improving RCT-Based Treatment Effect Estimation Under Covariate Mismatch via Calibrated Alignment
