Paper List

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Summary of Membership Inference Attacks Against Large Vision-language Models, by Zhan Li et al.
Summary of Tokenselect: Efficient Long-context Inference and Length Extrapolation For Llms Via Dynamic Token-level Kv Cache Selection, by Wei Wu et al.
Summary of Photon: Federated Llm Pre-training, by Lorenzo Sani et al.
Summary of Learning to Assist Humans Without Inferring Rewards, by Vivek Myers et al.
Summary of Intelligent Video Recording Optimization Using Activity Detection For Surveillance Systems, by Youssef Elmir et al.
Summary of Data-driven Hierarchical Open Set Recognition, by Andrew Hannum et al.
Summary of Classifier Chain Networks For Multi-label Classification, by Daniel J. W. Touw and Michel Van De Velden
Summary of M-cels: Counterfactual Explanation For Multivariate Time Series Data Guided by Learned Saliency Maps, By Peiyu Li et al.
Summary of From Twitter to Reasoner: Understand Mobility Travel Modes and Sentiment Using Large Language Models, by Kangrui Ruan et al.
Summary of Explanations That Reveal All Through the Definition Of Encoding, by Aahlad Puli et al.
Summary of Fair In-context Learning Via Latent Concept Variables, by Karuna Bhaila et al.
Summary of Geometry Of Naturalistic Object Representations in Recurrent Neural Network Models Of Working Memory, by Xiaoxuan Lei et al.
Summary of On the Loss Of Context-awareness in General Instruction Fine-tuning, by Yihan Wang et al.
Summary of Exploring Response Uncertainty in Mllms: An Empirical Evaluation Under Misleading Scenarios, by Yunkai Dang et al.
Summary of Carbon Price Fluctuation Prediction Using Blockchain Information a New Hybrid Machine Learning Approach, by H. Wang et al.
Summary of Point Processes with Event Time Uncertainty, by Xiuyuan Cheng et al.
Summary of Full Field Digital Mammography Dataset From a Population Screening Program, by Edward Kendall et al.
Summary of Compositional Simulation-based Inference For Time Series, by Manuel Gloeckler et al.
Summary of A Natural Language Processing Approach to Support Biomedical Data Harmonization: Leveraging Large Language Models, by Zexu Li et al.
Summary of An Information-matching Approach to Optimal Experimental Design and Active Learning, by Yonatan Kurniawan (1) et al.
Summary of A Convex Relaxation Approach to Generalization Analysis For Parallel Positively Homogeneous Networks, by Uday Kiran Reddy Tadipatri et al.
Summary of Deep Learning-based Modularized Loading Protocol For Parameter Estimation Of Bouc-wen Class Models, by Sebin Oh et al.
Summary of A Bayesian Explanation Of Machine Learning Models Based on Modes and Functional Anova, by Quan Long
Summary of See It, Think It, Sorted: Large Multimodal Models Are Few-shot Time Series Anomaly Analyzers, by Jiaxin Zhuang et al.
Summary of You Are Out Of Context!, by Giancarlo Cobino et al.
Summary of Energy-aware Dynamic Neural Inference, by Marcello Bullo et al.
Summary of Strongly Topology-preserving Gnns For Brain Graph Super-resolution, by Pragya Singh and Islem Rekik
Summary of Towards Harmless Rawlsian Fairness Regardless Of Demographic Prior, by Xuanqian Wang et al.
Summary of A Comprehensive Study on Quantization Techniques For Large Language Models, by Jiedong Lang et al.
Summary of Graphxain: Narratives to Explain Graph Neural Networks, by Mateusz Cedro et al.
Summary of Enhancing Graph Neural Networks in Large-scale Traffic Incident Analysis with Concurrency Hypothesis, by Xiwen Chen et al.
Summary of Pretrained Transformer Efficiently Learns Low-dimensional Target Functions In-context, by Kazusato Oko et al.
Summary of A Directional Rockafellar-uryasev Regression, by Alberto Arletti
Summary of Enhancing Risk Assessment in Transformers with Loss-at-risk Functions, by Jinghan Zhang et al.
Summary of Dynamic Weight Adjusting Deep Q-networks For Real-time Environmental Adaptation, by Xinhao Zhang et al.
Summary of The Intersectionality Problem For Algorithmic Fairness, by Johannes Himmelreich and Arbie Hsu and Kristian Lum and Ellen Veomett
Summary of Mm-embed: Universal Multimodal Retrieval with Multimodal Llms, by Sheng-chieh Lin et al.
Summary of Multi-agent Decision Transformers For Dynamic Dispatching in Material Handling Systems Leveraging Enterprise Big Data, by Xian Yeow Lee et al.
Summary of Vitally Consistent: Scaling Biological Representation Learning For Cell Microscopy, by Kian Kenyon-dean et al.
Summary of Social Support Detection From Social Media Texts, by Zahra Ahani et al.
Summary of Tiletracker: Tracking Based Vector Hd Mapping Using Top-down Road Images, by Mohammad Mahdavian et al.
Summary of Teleoracle: Fine-tuned Retrieval-augmented Generation with Long-context Support For Network, by Nouf Alabbasi et al.
Summary of Pseudo-probability Unlearning: Towards Efficient and Privacy-preserving Machine Unlearning, by Zihao Zhao et al.
Summary of Conformal-in-the-loop For Learning with Imbalanced Noisy Data, by John Brandon Graham-knight et al.
Summary of Sample-efficient Private Learning Of Mixtures Of Gaussians, by Hassan Ashtiani et al.
Summary of On Targeted Manipulation and Deception When Optimizing Llms For User Feedback, by Marcus Williams and Micah Carroll and Adhyyan Narang and Constantin Weisser and Brendan Murphy and Anca Dragan
Summary of Grouped Discrete Representation For Object-centric Learning, by Rongzhen Zhao et al.
Summary of Defining and Evaluating Physical Safety For Large Language Models, by Yung-chen Tang et al.
Summary of Sparsing Law: Towards Large Language Models with Greater Activation Sparsity, by Yuqi Luo et al.
Summary of Layerdag: a Layerwise Autoregressive Diffusion Model For Directed Acyclic Graph Generation, by Mufei Li et al.
Summary of Learning General-purpose Biomedical Volume Representations Using Randomized Synthesis, by Neel Dey et al.
Summary of Seq-vcr: Preventing Collapse in Intermediate Transformer Representations For Enhanced Reasoning, by Md Rifat Arefin et al.
Summary of Boulder2vec: Modeling Climber Performances in Professional Bouldering Competitions, by Ethan Baron and Victor Hau and Zeke Weng
Summary of “give Me Bf16 or Give Me Death”? Accuracy-performance Trade-offs in Llm Quantization, by Eldar Kurtic et al.
Summary of Linear Causal Bandits: Unknown Graph and Soft Interventions, by Zirui Yan et al.
Summary of Adaptive Length Image Tokenization Via Recurrent Allocation, by Shivam Duggal et al.
Summary of Prompting with Phonemes: Enhancing Llms’ Multilinguality For Non-latin Script Languages, by Hoang H Nguyen et al.
Summary of Generative Emotion Cause Explanation in Multimodal Conversations, by Lin Wang et al.
Summary of Narrative Analysis Of True Crime Podcasts with Knowledge Graph-augmented Large Language Models, by Xinyi Leng et al.
Summary of Madod: Generalizing Ood Detection to Unseen Domains Via G-invariance Meta-learning, by Haoliang Wang et al.
Summary of Graph-based Confidence Calibration For Large Language Models, by Yukun Li et al.
Summary of Learning World Models For Unconstrained Goal Navigation, by Yuanlin Duan et al.
Summary of Code-switching Curriculum Learning For Multilingual Transfer in Llms, by Haneul Yoo et al.
Summary of Learning Multiple Initial Solutions to Optimization Problems, by Elad Sharony et al.
Summary of Do Graph Neural Network States Contain Graph Properties?, by Tom Pelletreau-duris et al.
Summary of Behavioral Sequence Modeling with Ensemble Learning, by Maxime Kawawa-beaudan et al.
Summary of Safe: Slow and Fast Parameter-efficient Tuning For Continual Learning with Pre-trained Models, by Linglan Zhao et al.
Summary of Improving Steering Vectors by Targeting Sparse Autoencoder Features, By Sviatoslav Chalnev and Matthew Siu and Arthur Conmy
Summary of Recursive Learning Of Asymptotic Variational Objectives, by Alessandro Mastrototaro et al.
Summary of Sira: Scalable Inter-frame Relation and Association For Radar Perception, by Ryoma Yataka et al.
Summary of Collective Model Intelligence Requires Compatible Specialization, by Jyothish Pari et al.
Summary of Provably Transformers Harness Multi-concept Word Semantics For Efficient In-context Learning, by Dake Bu et al.
Summary of Targeted Learning For Variable Importance, by Xiaohan Wang et al.
Summary of Variable Selection in Convex Piecewise Linear Regression, by Haitham Kanj et al.
Summary of Positive Experience Reflection For Agents in Interactive Text Environments, by Philip Lippmann et al.
Summary of Towards Safe Bayesian Optimization with Wiener Kernel Regression, by Oleksii Molodchyk et al.
Summary of Counterfactual Explanations Via Riemannian Latent Space Traversal, by Paraskevas Pegios et al.
Summary of Combining Induction and Transduction For Abstract Reasoning, by Wen-ding Li et al.
Summary of Breaking the Reclustering Barrier in Centroid-based Deep Clustering, by Lukas Miklautz et al.
Summary of Elu-gcn: Effectively Label-utilizing Graph Convolutional Network, by Jincheng Huang et al.
Summary of The Llm Language Network: a Neuroscientific Approach For Identifying Causally Task-relevant Units, by Badr Alkhamissi et al.
Summary of Federated Gnns For Eeg-based Stroke Assessment, by Andrea Protani et al.
Summary of Controlsynth Neural Odes: Modeling Dynamical Systems with Guaranteed Convergence, by Wenjie Mei et al.
Summary of Amortized Bayesian Experimental Design For Decision-making, by Daolang Huang et al.
Summary of Collaborative Cognitive Diagnosis with Disentangled Representation Learning For Learner Modeling, by Weibo Gao et al.
Summary of Towards Certification: a Complete Statistical Validation Pipeline For Supervised Learning in Industry, by Lucas Lacasa et al.
Summary of Regress, Don’t Guess — a Regression-like Loss on Number Tokens For Language Models, by Jonas Zausinger et al.
Summary of Model Integrity When Unlearning with T2i Diffusion Models, by Andrea Schioppa et al.
Summary of Differentially Private Integrated Decision Gradients (idg-dp) For Radar-based Human Activity Recognition, by Idris Zakariyya et al.
Summary of Semiparametric Conformal Prediction, by Ji Won Park et al.
Summary of Training on Test Proteins Improves Fitness, Structure, and Function Prediction, by Anton Bushuiev et al.
Summary of Multi-modal Biometric Authentication: Leveraging Shared Layer Architectures For Enhanced Security, by Vatchala S et al.
Summary of Fedmoe-da: Federated Mixture Of Experts Via Domain Aware Fine-grained Aggregation, by Ziwei Zhan et al.
Summary of Bridge-if: Learning Inverse Protein Folding with Markov Bridges, by Yiheng Zhu et al.
Summary of Adaptive Sparse Allocation with Mutual Choice & Feature Choice Sparse Autoencoders, by Kola Ayonrinde
Summary of Unsupervised Detection Of Semantic Correlations in Big Data, by Santiago Acevedo et al.
Summary of Revisiting K-mer Profile For Effective and Scalable Genome Representation Learning, by Abdulkadir Celikkanat and Andres R. Masegosa and Thomas D. Nielsen
Summary of Supervised Transfer Learning Framework For Fault Diagnosis in Wind Turbines, by Kenan Weber et al.
Summary of Optimizing Multi-scale Representations to Detect Effect Heterogeneity Using Earth Observation and Computer Vision: Applications to Two Anti-poverty Rcts, by Fucheng Warren Zhu et al.
Summary of Advanced Computer Vision For Extracting Georeferenced Vehicle Trajectories From Drone Imagery, by Robert Fonod and Haechan Cho and Hwasoo Yeo and Nikolas Geroliminis