Paper List

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Summary of Virtual Sensing-enabled Digital Twin Framework For Real-time Monitoring Of Nuclear Systems Leveraging Deep Neural Operators, by Raisa Bentay Hossain et al.
Summary of Probing the Latent Hierarchical Structure Of Data Via Diffusion Models, by Antonio Sclocchi et al.
Summary of Is Prior-free Black-box Non-stationary Reinforcement Learning Feasible?, by Argyrios Gerogiannis et al.
Summary of Interpreting Temporal Graph Neural Networks with Koopman Theory, by Michele Guerra et al.
Summary of Truncating Trajectories in Monte Carlo Policy Evaluation: An Adaptive Approach, by Riccardo Poiani et al.
Summary of Seeing Through Visualbert: a Causal Adventure on Memetic Landscapes, by Dibyanayan Bandyopadhyay et al.
Summary of Sada-net: a Self-supervised Adaptive Stereo Estimation Cnn For Remote Sensing Image Data, by Dominik Hirner et al.
Summary of Enhancing Text Generation in Joint Nlg/nlu Learning Through Curriculum Learning, Semi-supervised Training, and Advanced Optimization Techniques, by Rahimanuddin Shaik et al.
Summary of Integrating Large Language Models and Reinforcement Learning For Non-linear Reasoning, by Yoav Alon and Cristina David
Summary of Mathgap: Out-of-distribution Evaluation on Problems with Arbitrarily Complex Proofs, by Andreas Opedal et al.
Summary of Portal: Scalable Tabular Foundation Models Via Content-specific Tokenization, by Marco Spinaci et al.
Summary of Learning on Model Weights Using Tree Experts, by Eliahu Horwitz et al.
Summary of Generative Adversarial Synthesis Of Radar Point Cloud Scenes, by Muhammad Saad Nawaz et al.
Summary of Adaptive and Oblivious Statistical Adversaries Are Equivalent, by Guy Blanc et al.
Summary of Generalization Bounds Via Meta-learned Model Representations: Pac-bayes and Sample Compression Hypernetworks, by Benjamin Leblanc et al.
Summary of Ornstein-uhlenbeck Adaptation As a Mechanism For Learning in Brains and Machines, by Jesus Garcia Fernandez et al.
Summary of Towards Better Performance in Incomplete Ldl: Addressing Data Imbalance, by Zhiqiang Kou et al.
Summary of Text-guided Multi-property Molecular Optimization with a Diffusion Language Model, by Yida Xiong et al.
Summary of Transformer-based Approaches For Sensor-based Human Activity Recognition: Opportunities and Challenges, by Clayton Souza Leite et al.
Summary of All Models Are Wrong, Some Are Useful: Model Selection with Limited Labels, by Patrik Okanovic et al.
Summary of H2ovl-mississippi Vision Language Models Technical Report, by Shaikat Galib et al.
Summary of Normalizing Self-supervised Learning For Provably Reliable Change Point Detection, by Alexandra Bazarova et al.
Summary of Scaling Wearable Foundation Models, by Girish Narayanswamy et al.
Summary of Limits to Scalable Evaluation at the Frontier: Llm As Judge Won’t Beat Twice the Data, by Florian E. Dorner et al.
Summary of Diffimp: Efficient Diffusion Model For Probabilistic Time Series Imputation with Bidirectional Mamba Backbone, by Hongfan Gao et al.
Summary of Do Llms Overcome Shortcut Learning? An Evaluation Of Shortcut Challenges in Large Language Models, by Yu Yuan et al.
Summary of Representation Learning Of Structured Data For Medical Foundation Models, by Vijay Prakash Dwivedi et al.
Summary of Addressing Heterogeneity and Heterophily in Graphs: a Heterogeneous Heterophilic Spectral Graph Neural Network, by Kangkang Lu et al.
Summary of Retrieval-augmented Personalization For Multimodal Large Language Models, by Haoran Hao et al.
Summary of Statistical Testing on Generative Ai Anomaly Detection Tools in Alzheimer’s Disease Diagnosis, by Rosemary He et al.
Summary of Learning Counterfactual Distributions Via Kernel Nearest Neighbors, by Kyuseong Choi et al.
Summary of Data-augmented Predictive Deep Neural Network: Enhancing the Extrapolation Capabilities Of Non-intrusive Surrogate Models, by Shuwen Sun et al.
Summary of A Self-constructing Multi-expert Fuzzy System For High-dimensional Data Classification, by Yingtao Ren et al.
Summary of Predicting Breast Cancer Survival: a Survival Analysis Approach Using Log Odds and Clinical Variables, by Opeyemi Sheu Alamu et al.
Summary of Mor: Mixture Of Ranks For Low-rank Adaptation Tuning, by Chuanyu Tang et al.
Summary of Partially Trained Graph Convolutional Networks Resist Oversmoothing, by Dimitrios Kelesis et al.
Summary of Solving Prior Distribution Mismatch in Diffusion Models Via Optimal Transport, by Zhanpeng Wang et al.
Summary of Similarity-dissimilarity Loss with Supervised Contrastive Learning For Multi-label Classification, by Guangming Huang et al.
Summary of Parameter-efficient Adaptation Of Multilingual Multimodal Models For Low-resource Asr, by Abhishek Gupta et al.
Summary of Fast Estimation Of Partial Dependence Functions Using Trees, by Jinyang Liu et al.
Summary of Breaking the Manual Annotation Bottleneck: Creating a Comprehensive Legal Case Criticality Dataset Through Semi-automated Labeling, by Ronja Stern et al.
Summary of Unlocking Legal Knowledge: a Multilingual Dataset For Judicial Summarization in Switzerland, by Luca Rolshoven et al.
Summary of Progressive Mixed-precision Decoding For Efficient Llm Inference, by Hao Mark Chen et al.
Summary of Mixehr-nest: Identifying Subphenotypes Within Electronic Health Records Through Hierarchical Guided-topic Modeling, by Ruohan Wang et al.
Summary of Disentangling Likes and Dislikes in Personalized Generative Explainable Recommendation, by Ryotaro Shimizu et al.
Summary of Conditional Denoising Meets Polynomial Modeling: a Flexible Decoupled Framework For Time Series Forecasting, by Jintao Zhang et al.
Summary of Quamba: a Post-training Quantization Recipe For Selective State Space Models, by Hung-yueh Chiang et al.
Summary of Scfusionttt: Single-cell Transcriptomics and Proteomics Fusion with Test-time Training Layers, by Dian Meng et al.
Summary of A Simplifying and Learnable Graph Convolutional Attention Network For Unsupervised Knowledge Graphs Alignment, by Weishan Cai et al.
Summary of The Latent Road to Atoms: Backmapping Coarse-grained Protein Structures with Latent Diffusion, by Xu Han et al.
Summary of Inductive Gradient Adjustment For Spectral Bias in Implicit Neural Representations, by Kexuan Shi et al.
Summary of Learning to Route Llms with Confidence Tokens, by Yu-neng Chuang et al.
Summary of A Human-in-the-loop Fairness-aware Model Selection Framework For Complex Fairness Objective Landscapes, by Jake Robertson et al.
Summary of An Online Learning Approach to Prompt-based Selection Of Generative Models, by Xiaoyan Hu et al.
Summary of Pilocnet: Physics-informed Neural Network on 3d Localization with Rotating Point Spread Function, by Mingda Lu et al.
Summary of Sbi-rag: Enhancing Math Word Problem Solving For Students Through Schema-based Instruction and Retrieval-augmented Generation, by Prakhar Dixit et al.
Summary of Fairness-enhancing Ensemble Classification in Water Distribution Networks, by Janine Strotherm and Barbara Hammer
Summary of A Theoretical Perspective on Mode Collapse in Variational Inference, by Roman Soletskyi et al.
Summary of Llm-rank: a Graph Theoretical Approach to Pruning Large Language Models, by David Hoffmann et al.
Summary of Hiformer: Hybrid Frequency Feature Enhancement Inverted Transformer For Long-term Wind Power Prediction, by Chongyang Wan et al.
Summary of Precipitation Nowcasting Using Diffusion Transformer with Causal Attention, by Chaorong Li et al.
Summary of Improving Discrete Optimisation Via Decoupled Straight-through Gumbel-softmax, by Rushi Shah et al.
Summary of Biasjailbreak:analyzing Ethical Biases and Jailbreak Vulnerabilities in Large Language Models, by Isack Lee et al.
Summary of Algorithmic Content Selection and the Impact Of User Disengagement, by Emilio Calvano et al.
Summary of Controllable Generation Via Locally Constrained Resampling, by Kareem Ahmed et al.
Summary of Contextual Bandits with Arm Request Costs and Delays, by Lai Wei et al.
Summary of Distributional Matrix Completion Via Nearest Neighbors in the Wasserstein Space, by Jacob Feitelberg et al.
Summary of Boosting Imperceptibility Of Stable Diffusion-based Adversarial Examples Generation with Momentum, by Nashrah Haque et al.
Summary of Federated Scientific Machine Learning For Approximating Functions and Solving Differential Equations with Data Heterogeneity, by Handi Zhang et al.
Summary of Utilizing Large Language Models in An Iterative Paradigm with Domain Feedback For Zero-shot Molecule Optimization, by Khiem Le et al.
Summary of An Evolved Universal Transformer Memory, by Edoardo Cetin et al.
Summary of L1-regularized Ica: a Novel Method For Analysis Of Task-related Fmri Data, by Yusuke Endo et al.
Summary of Cohex: a Generalized Framework For Cohort Explanation, by Fanyu Meng et al.
Summary of Gesubnet: Gene Interaction Inference For Disease Subtype Network Generation, by Ziwei Yang et al.
Summary of Context-enhanced Multi-view Trajectory Representation Learning: Bridging the Gap Through Self-supervised Models, by Tangwen Qian et al.
Summary of Tcp-diffusion: a Multi-modal Diffusion Model For Global Tropical Cyclone Precipitation Forecasting with Change Awareness, by Cheng Huang et al.
Summary of Meta-diffub: a Contextualized Sequence-to-sequence Text Diffusion Model with Meta-exploration, by Yun-yen Chuang et al.
Summary of Tabseq: a Framework For Deep Learning on Tabular Data Via Sequential Ordering, by Al Zadid Sultan Bin Habib et al.
Summary of Estimating the Probabilities Of Rare Outputs in Language Models, by Gabriel Wu et al.
Summary of Asymkv: Enabling 1-bit Quantization Of Kv Cache with Layer-wise Asymmetric Quantization Configurations, by Qian Tao et al.
Summary of Llmopt: Learning to Define and Solve General Optimization Problems From Scratch, by Caigao Jiang et al.
Summary of Balancing Label Quantity and Quality For Scalable Elicitation, by Alex Mallen and Nora Belrose
Summary of From Pinns to Pikans: Recent Advances in Physics-informed Machine Learning, by Juan Diego Toscano et al.
Summary of Sample Compression Scheme Reductions, by Idan Attias and Steve Hanneke and Arvind Ramaswami
Summary of Learning Representations For Reasoning: Generalizing Across Diverse Structures, by Zhaocheng Zhu
Summary of Legal-uqa: a Low-resource Urdu-english Dataset For Legal Question Answering, by Faizan Faisal et al.
Summary of Lora Soups: Merging Loras For Practical Skill Composition Tasks, by Akshara Prabhakar et al.
Summary of Geometric Trajectory Diffusion Models, by Jiaqi Han et al.
Summary of Sensitivity Of Generative Vlms to Semantically and Lexically Altered Prompts, by Sri Harsha Dumpala et al.
Summary of When Not to Answer: Evaluating Prompts on Gpt Models For Effective Abstention in Unanswerable Math Word Problems, by Asir Saadat et al.
Summary of Hypothesis Testing the Circuit Hypothesis in Llms, by Claudia Shi et al.
Summary of Systems with Switching Causal Relations: a Meta-causal Perspective, by Moritz Willig et al.
Summary of Supply Chain Network Extraction and Entity Classification Leveraging Large Language Models, by Tong Liu et al.
Summary of Fedgtst: Boosting Global Transferability Of Federated Models Via Statistics Tuning, by Evelyn Ma et al.
Summary of Aero: Softmax-only Llms For Efficient Private Inference, by Nandan Kumar Jha and Brandon Reagen
Summary of Fedcap: Robust Federated Learning Via Customized Aggregation and Personalization, by Youpeng Li et al.
Summary of Optimal Transport For Probabilistic Circuits, by Adrian Ciotinga and Yoojung Choi
Summary of Mmed-rag: Versatile Multimodal Rag System For Medical Vision Language Models, by Peng Xia et al.
Summary of Reverse-engineering the Reader, by Samuel Kiegeland et al.
Summary of Self-comparison For Dataset-level Membership Inference in Large (vision-)language Models, by Jie Ren et al.