Paper List

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Summary of Familiarity-aware Evidence Compression For Retrieval-augmented Generation, by Dongwon Jung et al.
Summary of Critiprefill: a Segment-wise Criticality-based Approach For Prefilling Acceleration in Llms, by Junlin Lv et al.
Summary of Convexecg: Lightweight and Explainable Neural Networks For Personalized, Continuous Cardiac Monitoring, by Rayan Ansari et al.
Summary of A Controlled Study on Long Context Extension and Generalization in Llms, by Yi Lu et al.
Summary of Democratizing Mllms in Healthcare: Tinyllava-med For Efficient Healthcare Diagnostics in Resource-constrained Settings, by Aya El Mir et al.
Summary of To Cot or Not to Cot? Chain-of-thought Helps Mainly on Math and Symbolic Reasoning, by Zayne Sprague et al.
Summary of Massively Multi-person 3d Human Motion Forecasting with Scene Context, by Felix B Mueller et al.
Summary of Reproduction Of Ivfs Algorithm For High-dimensional Topology Preservation Feature Selection, by Zihan Wang
Summary of Nteasee: a Mixed Methods Study Of Expert and General Population Perspectives on Deploying Ai For Health in African Countries, by Mercy Nyamewaa Asiedu et al.
Summary of Mixture Of Diverse Size Experts, by Manxi Sun et al.
Summary of Semai: Semantic Artificial Intelligence-enhanced Dna Storage For Internet-of-things, by Wenfeng Wu et al.
Summary of Effects Of Common Regularization Techniques on Open-set Recognition, by Zachary Rabin et al.
Summary of Article: Annotator Reliability Through In-context Learning, by Sujan Dutta et al.
Summary of Sparks Of Artificial General Intelligence(agi) in Semiconductor Material Science: Early Explorations Into the Next Frontier Of Generative Ai-assisted Electron Micrograph Analysis, by Sakhinana Sagar Srinivas et al.
Summary of Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive Networks, by Eeshaan Jain et al.
Summary of Detecting Lgbtq+ Instances Of Cyberbullying, by Muhammad Arslan et al.
Summary of Metapix: a Data-centric Ai Development Platform For Efficient Management and Utilization Of Unstructured Computer Vision Data, by Sai Vishwanath Venkatesh et al.
Summary of User-friendly Foundation Model Adapters For Multivariate Time Series Classification, by Vasilii Feofanov et al.
Summary of Mastering Chess with a Transformer Model, by Daniel Monroe et al.
Summary of Provable In-context Learning Of Linear Systems and Linear Elliptic Pdes with Transformers, by Frank Cole et al.
Summary of Rag-modulo: Solving Sequential Tasks Using Experience, Critics, and Language Models, by Abhinav Jain et al.
Summary of Sane: Strategic Autonomous Non-smooth Exploration For Multiple Optima Discovery in Multi-modal and Non-differentiable Black-box Functions, by Arpan Biswas et al.
Summary of Amortized Variational Inference For Deep Gaussian Processes, by Qiuxian Meng and Yongyou Zhang
Summary of Putting Data at the Centre Of Offline Multi-agent Reinforcement Learning, by Claude Formanek et al.
Summary of Topological Deep Learning with State-space Models: a Mamba Approach For Simplicial Complexes, by Marco Montagna et al.
Summary of Extended Deep Submodular Functions, by Seyed Mohammad Hosseini et al.
Summary of A Unified Framework For Neural Computation and Learning Over Time, by Stefano Melacci et al.
Summary of Cartan Moving Frames and the Data Manifolds, by Eliot Tron et al.
Summary of Methanol: Modularized Thinking Language Models with Intermediate Layer Thinking, Decoding and Bootstrapping Reasoning, by Ningyuan Xi et al.
Summary of Fitting Multilevel Factor Models, by Tetiana Parshakova and Trevor Hastie and Stephen Boyd
Summary of Unsupervised Domain Adaptation Via Data Pruning, by Andrea Napoli et al.
Summary of Towards Interpretable End-stage Renal Disease (esrd) Prediction: Utilizing Administrative Claims Data with Explainable Ai Techniques, by Yubo Li et al.
Summary of Skill Matching at Scale: Freelancer-project Alignment For Efficient Multilingual Candidate Retrieval, by Warren Jouanneau et al.
Summary of The Impact Of Element Ordering on Lm Agent Performance, by Wayne Chi et al.
Summary of Symmetry-enriched Learning: a Category-theoretic Framework For Robust Machine Learning Models, by Ronald Katende
Summary of Fedlf: Adaptive Logit Adjustment and Feature Optimization in Federated Long-tailed Learning, by Xiuhua Lu et al.
Summary of Pareto Data Framework: Steps Towards Resource-efficient Decision Making Using Minimum Viable Data (mvd), by Tashfain Ahmed and Josh Siegel
Summary of Stronger Baseline Models — a Key Requirement For Aligning Machine Learning Research with Clinical Utility, by Nathan Wolfrath et al.
Summary of Qwen2.5-math Technical Report: Toward Mathematical Expert Model Via Self-improvement, by An Yang et al.
Summary of Almost Sure Convergence Of Linear Temporal Difference Learning with Arbitrary Features, by Jiuqi Wang and Shangtong Zhang
Summary of Logora: Local-global Representation Alignment For Robust Time Series Classification, by Huanyu Zhang et al.
Summary of Grin: Gradient-informed Moe, by Liyuan Liu et al.
Summary of Finetuning Language Models to Emit Linguistic Expressions Of Uncertainty, by Arslan Chaudhry et al.
Summary of Npat Null-space Projected Adversarial Training Towards Zero Deterioration, by Hanyi Hu et al.
Summary of Consistent Estimation Of a Class Of Distances Between Covariance Matrices, by Roberto Pereira et al.
Summary of The Factuality Of Large Language Models in the Legal Domain, by Rajaa El Hamdani and Thomas Bonald and Fragkiskos Malliaros and Nils Holzenberger and Fabian Suchanek
Summary of Symmetry-based Structured Matrices For Efficient Approximately Equivariant Networks, by Ashwin Samudre et al.
Summary of Constraint Guided Autoencoders For Joint Optimization Of Condition Indicator Estimation and Anomaly Detection in Machine Condition Monitoring, by Maarten Meire et al.
Summary of Optimizing Job Shop Scheduling in the Furniture Industry: a Reinforcement Learning Approach Considering Machine Setup, Batch Variability, and Intralogistics, by Malte Schneevogt et al.
Summary of Graph Neural Network-state Predictive Information Bottleneck (gnn-spib) Approach For Learning Molecular Thermodynamics and Kinetics, by Ziyue Zou et al.
Summary of An Efficient Wavelet-based Physics-informed Neural Networks For Singularly Perturbed Problems, by Himanshu Pandey et al.
Summary of Edge-based Graph Component Pooling, by T. Snelleman et al.
Summary of Tight and Efficient Upper Bound on Spectral Norm Of Convolutional Layers, by Ekaterina Grishina et al.
Summary of Location Based Probabilistic Load Forecasting Of Ev Charging Sites: Deep Transfer Learning with Multi-quantile Temporal Convolutional Network, by Mohammad Wazed Ali (intelligent Embedded Systems (ies) et al.
Summary of Recent Advances in Ood Detection: Problems and Approaches, by Shuo Lu et al.
Summary of Multi-grid Graph Neural Networks with Self-attention For Computational Mechanics, by Paul Garnier and Jonathan Viquerat and Elie Hachem
Summary of Less Memory Means Smaller Gpus: Backpropagation with Compressed Activations, by Daniel Barley et al.
Summary of Generation Of Complex 3d Human Motion by Temporal and Spatial Composition Of Diffusion Models, By Lorenzo Mandelli et al.
Summary of Efficacy Of Synthetic Data As a Benchmark, by Gaurav Maheshwari et al.
Summary of An Explainable Machine Learning Approach to Traffic Accident Fatality Prediction, by Md. Asif Khan Rifat et al.
Summary of An Efficient Model-agnostic Approach For Uncertainty Estimation in Data-restricted Pedometric Applications, by Viacheslav Barkov et al.
Summary of Unraveling the Hessian: a Key to Smooth Convergence in Loss Function Landscapes, by Nikita Kiselev et al.
Summary of On Vision Transformers For Classification Tasks in Side-scan Sonar Imagery, by Bw Sheffield et al.
Summary of Adaptive Anomaly Detection in Network Flows with Low-rank Tensor Decompositions and Deep Unrolling, by Lukas Schynol et al.
Summary of Balancing Optimality and Diversity: Human-centered Decision Making Through Generative Curation, by Michael Lingzhi Li and Shixiang Zhu
Summary of Valo: a Versatile Anytime Framework For Lidar-based Object Detection Deep Neural Networks, by Ahmet Soyyigit et al.
Summary of A Property Encoder For Graph Neural Networks, by Anwar Said et al.
Summary of Preference Tuning with Human Feedback on Language, Speech, and Vision Tasks: a Survey, by Genta Indra Winata et al.
Summary of Advances in Appfl: a Comprehensive and Extensible Federated Learning Framework, by Zilinghan Li et al.
Summary of Self-contrastive Forward-forward Algorithm, by Xing Chen et al.
Summary of Outlier Detection with Cluster Catch Digraphs, by Rui Shi et al.
Summary of Time-series Forecasting, Knowledge Distillation, and Refinement Within a Multimodal Pde Foundation Model, by Derek Jollie et al.
Summary of Pieclam: a Universal Graph Autoencoder Based on Overlapping Inclusive and Exclusive Communities, by Daniel Zilberg et al.
Summary of Multimodal Generalized Category Discovery, by Yuchang Su et al.
Summary of Enhancing Pm2.5 Data Imputation and Prediction in Air Quality Monitoring Networks Using a Knn-sindy Hybrid Model, by Yohan Choi et al.
Summary of Daf-net: a Dual-branch Feature Decomposition Fusion Network with Domain Adaptive For Infrared and Visible Image Fusion, by Jian Xu et al.
Summary of Art and Science Of Quantizing Large-scale Models: a Comprehensive Overview, by Yanshu Wang et al.
Summary of Enhancing Semi-supervised Learning Via Representative and Diverse Sample Selection, by Qian Shao et al.
Summary of Detecting Underdiagnosed Medical Conditions with Deep Learning-based Opportunistic Ct Imaging, by Asad Aali et al.
Summary of Few-shot Class-incremental Learning with Non-iid Decentralized Data, by Cuiwei Liu et al.
Summary of Monomial Matrix Group Equivariant Neural Functional Networks, by Viet-hoang Tran and Thieu N. Vo and Tho H. Tran and An T. Nguyen and Tan M. Nguyen
Summary of Harp: Human-assisted Regrouping with Permutation Invariant Critic For Multi-agent Reinforcement Learning, by Huawen Hu et al.
Summary of From Lists to Emojis: How Format Bias Affects Model Alignment, by Xuanchang Zhang et al.
Summary of Soap: Improving and Stabilizing Shampoo Using Adam, by Nikhil Vyas et al.
Summary of Lpt++: Efficient Training on Mixture Of Long-tailed Experts, by Bowen Dong et al.
Summary of Towards Time Series Reasoning with Llms, by Winnie Chow et al.
Summary of Machine Learning on Dynamic Functional Connectivity: Promise, Pitfalls, and Interpretations, by Jiaqi Ding et al.
Summary of Normalization in Proportional Feature Spaces, by Alexandre Benatti et al.
Summary of Continual Learning Of Conjugated Visual Representations Through Higher-order Motion Flows, by Simone Marullo et al.
Summary of Says Who? Effective Zero-shot Annotation Of Focalization, by Rebecca M. M. Hicke et al.
Summary of Nvlm: Open Frontier-class Multimodal Llms, by Wenliang Dai et al.
Summary of Aivril: Ai-driven Rtl Generation with Verification In-the-loop, by Mubashir Ul Islam et al.
Summary of A Green Multi-attribute Client Selection For Over-the-air Federated Learning: a Grey-wolf-optimizer Approach, by Maryam Ben Driss et al.
Summary of Evaluation Of Pretrained Language Models on Music Understanding, by Yannis Vasilakis et al.
Summary of Volvo Discovery Challenge at Ecml-pkdd 2024, by Mahmoud Rahat et al.
Summary of Two Stage Segmentation Of Cervical Tumors Using Pocketnet, by Awj Twam et al.
Summary of Beyond Algorithmic Fairness: a Guide to Develop and Deploy Ethical Ai-enabled Decision-support Tools, by Rosemarie Santa Gonzalez et al.
Summary of Preventing Representational Rank Collapse in Mpnns by Splitting the Computational Graph, By Andreas Roth et al.
Summary of Super Resolution on Global Weather Forecasts, by Lawrence Zhang et al.
Summary of Chess Rating Estimation From Moves and Clock Times Using a Cnn-lstm, by Michael Omori et al.