Mini toolsPapers
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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
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AS2 -- Attention-Based Soft Answer Sets: An End-to-End Differentiable Neuro-Soft-Symbolic Reasoning Architecture
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MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery
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SR-Nav: Spatial Relationships Matter for Zero-shot Object Goal Navigation
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Discounted Beta--Bernoulli Reward Estimation for Sample-Efficient Reinforcement Learning with Verifiable Rewards
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UT-ACA: Uncertainty-Triggered Adaptive Context Allocation for Long-Context Inference
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SODIUM: From Open Web Data to Queryable Databases
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Seeking Universal Shot Language Understanding Solutions
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POET: Power-Oriented Evolutionary Tuning for LLM-Based RTL PPA Optimization
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Learning Consistent Temporal Grounding between Related Tasks in Sports Coaching
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HypeMed: Enhancing Medication Recommendations with Hypergraph-Based Patient Relationships
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Interpretable Prostate Cancer Detection using a Small Cohort of MRI Images
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Cell-Type Prototype-Informed Neural Network for Gene Expression Estimation from Pathology Images
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AlignMamba-2: Enhancing Multimodal Fusion and Sentiment Analysis with Modality-Aware Mamba
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AcceRL: A Distributed Asynchronous Reinforcement Learning and World Model Framework for Vision-Language-Action Models
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MedQ-UNI: Toward Unified Medical Image Quality Assessment and Restoration via Vision-Language Modeling
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Recolour What Matters: Region-Aware Colour Editing via Token-Level Diffusion
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GAIN: A Benchmark for Goal-Aligned Decision-Making of Large Language Models under Imperfect Norms
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Cognitive Mismatch in Multimodal Large Language Models for Discrete Symbol Understanding
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Do Post-Training Algorithms Actually Differ? A Controlled Study Across Model Scales Uncovers Scale-Dependent Ranking Inversions
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WASD: Locating Critical Neurons as Sufficient Conditions for Explaining and Controlling LLM Behavior
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UniFluids: Unified Neural Operator Learning with Conditional Flow-matching
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Do Vision Language Models Understand Human Engagement in Games?
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T-QPM: Enabling Temporal Out-Of-Distribution Detection and Domain Generalization for Vision-Language Models in Open-World
