Mini toolsPapers
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End-to-End Optimization of Polarimetric Measurement and Material Classifier
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CogFormer: Learn All Your Models Once
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Delightful Distributed Policy Gradient
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Does This Gradient Spark Joy?
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RMNP: Row-Momentum Normalized Preconditioning for Scalable Matrix-Based Optimization
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Memory Over Maps: 3D Object Localization Without Reconstruction
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Epistemic Observability in Language Models
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Revenue-Sharing as Infrastructure: A Distributed Business Model for Generative AI Platforms
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An Industrial-Scale Retrieval-Augmented Generation Framework for Requirements Engineering: Empirical Evaluation with Automotive Manufacturing Data
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Towards Practical Multimodal Hospital Outbreak Detection
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LLM-Driven Heuristic Synthesis for Industrial Process Control: Lessons from Hot Steel Rolling
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Understanding Behavior Cloning with Action Quantization
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Large Language Models for Missing Data Imputation: Understanding Behavior, Hallucination Effects, and Control Mechanisms
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When Negation Is a Geometry Problem in Vision-Language Models
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Permutation-Consensus Listwise Judging for Robust Factuality Evaluation
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Graph Signal Processing Meets Mamba2: Adaptive Filter Bank via Delta Modulation
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AI Agents Can Already Autonomously Perform Experimental High Energy Physics
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PowerFlow: Unlocking the Dual Nature of LLMs via Principled Distribution Matching
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To See or To Please: Uncovering Visual Sycophancy and Split Beliefs in VLMs
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PlanTwin: Privacy-Preserving Planning Abstractions for Cloud-Assisted LLM Agents
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From Weak Cues to Real Identities: Evaluating Inference-Driven De-Anonymization in LLM Agents
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Evolutionarily Stable Stackelberg Equilibrium
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Mathematical Foundations of Deep Learning
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Reflection in the Dark: Exposing and Escaping the Black Box in Reflective Prompt Optimization
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An SO(3)-equivariant reciprocal-space neural potential for long-range interactions
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AutoScreen-FW: An LLM-based Framework for Resume Screening
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Computational and Statistical Hardness of Calibration Distance
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RE-SAC: Disentangling aleatoric and epistemic risks in bus fleet control: A stable and robust ensemble DRL approach
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FlowMS: Flow Matching for De Novo Structure Elucidation from Mass Spectra
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Pixel-Accurate Epipolar Guided Matching
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Inst4DGS: Instance-Decomposed 4D Gaussian Splatting with Multi-Video Label Permutation Learning
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Multi-Domain Empirical Bayes for Linearly-Mixed Causal Representations
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HSI Image Enhancement Classification Based on Knowledge Distillation: A Study on Forgetting
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TopoChunker: Topology-Aware Agentic Document Chunking Framework
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TARo: Token-level Adaptive Routing for LLM Test-time Alignment
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Statistical Testing Framework for Clustering Pipelines by Selective Inference
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The Spillover Effects of Peer AI Rinsing on Corporate Green Innovation
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Self-Tuning Sparse Attention: Multi-Fidelity Hyperparameter Optimization for Transformer Acceleration
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Mind the Rarities: Can Rare Skin Diseases Be Reliably Diagnosed via Diagnostic Reasoning?
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From Topic to Transition Structure: Unsupervised Concept Discovery at Corpus Scale via Predictive Associative Memory
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The Impact of Corporate AI Washing on Farmers' Digital Financial Behavior Response -- An Analysis from the Perspective of Digital Financial Exclusion
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SynQ: Accurate Zero-shot Quantization by Synthesis-aware Fine-tuning
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Multimodal Task Interference: A Benchmark and Analysis of History-Target Mismatch in Multimodal LLMs
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Prune-then-Quantize or Quantize-then-Prune? Understanding the Impact of Compression Order in Joint Model Compression
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R&D: Balancing Reliability and Diversity in Synthetic Data Augmentation for Semantic Segmentation
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Adaptive Decoding via Test-Time Policy Learning for Self-Improving Generation
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AndroTMem: From Interaction Trajectories to Anchored Memory in Long-Horizon GUI Agents
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Towards Noise-Resilient Quantum Multi-Armed and Stochastic Linear Bandits
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LLM-Enhanced Energy Contrastive Learning for Out-of-Distribution Detection in Text-Attributed Graphs
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MLOW: Interpretable Low-Rank Frequency Magnitude Decomposition of Multiple Effects for Time Series Forecasting
