Paper List

We recommend you use the search box as this list is very long.

Summary of Automatic Pseudo-harmful Prompt Generation For Evaluating False Refusals in Large Language Models, by Bang An et al.
Summary of Spatio-spectral Graph Neural Operator For Solving Computational Mechanics Problems on Irregular Domain and Unstructured Grid, by Subhankar Sarkar and Souvik Chakraborty
Summary of Flight Delay Prediction Using Hybrid Machine Learning Approach: a Case Study Of Major Airlines in the United States, by Rajesh Kumar Jha et al.
Summary of One-frame Calibration with Siamese Network in Facial Action Unit Recognition, by Shuangquan Feng and Virginia R. De Sa
Summary of Unveiling Processing–property Relationships in Laser Powder Bed Fusion: the Synergy Of Machine Learning and High-throughput Experiments, by Mahsa Amiri et al.
Summary of Building Better Datasets: Seven Recommendations For Responsible Design From Dataset Creators, by Will Orr and Kate Crawford
Summary of Explainable Artificial Intelligence: a Survey Of Needs, Techniques, Applications, and Future Direction, by Melkamu Mersha et al.
Summary of Box2flow: Instance-based Action Flow Graphs From Videos, by Jiatong Li et al.
Summary of Reframing Data Value For Large Language Models Through the Lens Of Plausibility, by Mohamad Rida Rammal et al.
Summary of On Expressive Power Of Quantized Neural Networks Under Fixed-point Arithmetic, by Geonho Hwang et al.
Summary of An Empirical Study on Context Length For Open-domain Dialog Generation, by Xinyi Shen et al.
Summary of Objective Features Extracted From Motor Activity Time Series For Food Addiction Analysis Using Machine Learning, by Mikhail Borisenkov et al.
Summary of Evaluating the Effectiveness Of Large Language Models in Representing and Understanding Movement Trajectories, by Yuhan Ji et al.
Summary of Foundations Of Multivariate Distributional Reinforcement Learning, by Harley Wiltzer et al.
Summary of Gspect: Spectral Filtering For Cross-scale Graph Classification, by Xiaoyu Zhang et al.
Summary of Chatting Up Attachment: Using Llms to Predict Adult Bonds, by Paulo Soares et al.
Summary of Towards Understanding Diffusion Models (on Graphs), by Solveig Klepper
Summary of Does Alignment Tuning Really Break Llms’ Internal Confidence?, by Hongseok Oh et al.
Summary of Lyapunov Neural Ode State-feedback Control Policies, by Joshua Hang Sai Ip et al.
Summary of Self-supervised Fusarium Head Blight Detection with Hyperspectral Image and Feature Mining, by Yu-fan Lin et al.
Summary of Learning Linear Acyclic Causal Model Including Gaussian Noise Using Ancestral Relationships, by Ming Cai and Penggang Gao and Hisayuki Hara
Summary of Robust Off-policy Reinforcement Learning Via Soft Constrained Adversary, by Kosuke Nakanishi et al.
Summary of Breaking Down Financial News Impact: a Novel Ai Approach with Geometric Hypergraphs, by Anoushka Harit et al.
Summary of Negation Blindness in Large Language Models: Unveiling the No Syndrome in Image Generation, by Mohammad Nadeem et al.
Summary of How to Train Text Summarization Model with Weak Supervisions, by Yanbo Wang et al.
Summary of Zero-shot Visual Reasoning by Vision-language Models: Benchmarking and Analysis, By Aishik Nagar et al.
Summary of Fedmcp: Parameter-efficient Federated Learning with Model-contrastive Personalization, by Qianyi Zhao et al.
Summary of Toward Large Language Models As a Therapeutic Tool: Comparing Prompting Techniques to Improve Gpt-delivered Problem-solving Therapy, by Daniil Filienko et al.
Summary of 3-in-1: 2d Rotary Adaptation For Efficient Finetuning, Efficient Batching and Composability, by Baohao Liao and Christof Monz
Summary of Latent-ensf: a Latent Ensemble Score Filter For High-dimensional Data Assimilation with Sparse Observation Data, by Phillip Si et al.
Summary of A Hybrid Framework For Spatial Interpolation: Merging Data-driven with Domain Knowledge, by Cong Zhang et al.
Summary of From Semantics to Hierarchy: a Hybrid Euclidean-tangent-hyperbolic Space Model For Temporal Knowledge Graph Reasoning, by Siling Feng et al.
Summary of Semantic-guided Multimodal Sentiment Decoding with Adversarial Temporal-invariant Learning, by Guoyang Xu et al.
Summary of Speaker Tagging Correction with Non-autoregressive Language Models, by Grigor Kirakosyan et al.
Summary of Common Steps in Machine Learning Might Hinder the Explainability Aims in Medicine, by Ahmed M Salih
Summary of Developing An End-to-end Framework For Predicting the Social Communication Severity Scores Of Children with Autism Spectrum Disorder, by Jihyun Mun et al.
Summary of Learning-based Finite Element Methods Modeling For Complex Mechanical Systems, by Jiasheng Shi et al.
Summary of Deep Neural Networks For Predicting Recurrence and Survival in Patients with Esophageal Cancer After Surgery, by Yuhan Zheng et al.
Summary of Enhancing Event Reasoning in Large Language Models Through Instruction Fine-tuning with Semantic Causal Graphs, by Mazal Bethany et al.
Summary of A Generative Adversarial Network-based Method For Lidar-assisted Radar Image Enhancement, by Thakshila Thilakanayake et al.
Summary of Learning Latent Space Dynamics with Model-form Uncertainties: a Stochastic Reduced-order Modeling Approach, by Jin Yi Yong and Rudy Geelen and Johann Guilleminot
Summary of Spatially-aware Diffusion Models with Cross-attention For Global Field Reconstruction with Sparse Observations, by Yilin Zhuang et al.
Summary of Deep Learning Surrogate Models Of Jules-inferno For Wildfire Prediction on a Global Scale, by Sibo Cheng and Hector Chassagnon and Matthew Kasoar and Yike Guo and Rossella Arcucci
Summary of Investigating Neuron Ablation in Attention Heads: the Case For Peak Activation Centering, by Nicholas Pochinkov et al.
Summary of Evaluating Reliability in Medical Dnns: a Critical Analysis Of Feature and Confidence-based Ood Detection, by Harry Anthony et al.
Summary of Forget to Flourish: Leveraging Machine-unlearning on Pretrained Language Models For Privacy Leakage, by Md Rafi Ur Rashid et al.
Summary of C-radar: a Centralized Deep Learning System For Intrusion Detection in Software Defined Networks, by Osama Mustafa et al.
Summary of Leveraging Graph Neural Networks to Forecast Electricity Consumption, by Eloi Campagne et al.
Summary of Exploring the Impact Of Environmental Pollutants on Multiple Sclerosis Progression, by Elena Marinello et al.
Summary of More Fine-tuning with 10x Fewer Parameters, by Wenxuan Tan et al.
Summary of Traffic Expertise Meets Residual Rl: Knowledge-informed Model-based Residual Reinforcement Learning For Cav Trajectory Control, by Zihao Sheng et al.
Summary of Lasso-mogat: a Multi-omics Graph Attention Framework For Cancer Classification, by Fadi Alharbi et al.
Summary of Bayesian Optimization For Non-convex Two-stage Stochastic Optimization Problems, by Jack M. Buckingham et al.
Summary of Continual Learning with the Neural Tangent Ensemble, by Ari S. Benjamin et al.
Summary of Evaluating Explainable Ai Methods in Deep Learning Models For Early Detection Of Cerebral Palsy, by Kimji N. Pellano et al.
Summary of Fairness-aware Estimation Of Graphical Models, by Zhuoping Zhou et al.
Summary of Attack Anything: Blind Dnns Via Universal Background Adversarial Attack, by Jiawei Lian et al.
Summary of Neural Crns: a Natural Implementation Of Learning in Chemical Reaction Networks, by Rajiv Teja Nagipogu et al.
Summary of Sorsa: Singular Values and Orthonormal Regularized Singular Vectors Adaptation Of Large Language Models, by Yang Cao
Summary of Are Llm-based Methods Good Enough For Detecting Unfair Terms Of Service?, by Mirgita Frasheri et al.
Summary of Towards Human-level Understanding Of Complex Process Engineering Schematics: a Pedagogical, Introspective Multi-agent Framework For Open-domain Question Answering, by Sagar Srinivas Sakhinana et al.
Summary of Classification Of Safety Events at Nuclear Sites Using Large Language Models, by Mishca De Costa et al.
Summary of Non-instructional Fine-tuning: Enabling Instruction-following Capabilities in Pre-trained Language Models Without Instruction-following Data, by Juncheng Xie et al.
Summary of Towards Hyper-parameter-free Federated Learning, by Geetika et al.
Summary of Deep Feature Embedding For Tabular Data, by Yuqian Wu et al.
Summary of Efficient Testable Learning Of General Halfspaces with Adversarial Label Noise, by Ilias Diakonikolas et al.
Summary of The Iterative Optimal Brain Surgeon: Faster Sparse Recovery by Leveraging Second-order Information, By Diyuan Wu et al.
Summary of Safetail: Efficient Tail Latency Optimization in Edge Service Scheduling Via Computational Redundancy Management, by Jyoti Shokhanda et al.
Summary of Identifying and Clustering Counter Relationships Of Team Compositions in Pvp Games For Efficient Balance Analysis, by Chiu-chou Lin et al.
Summary of Short-term Wind Speed Forecasting For Power Integration in Smart Grids Based on Hybrid Lssvm-svmd Method, by Ephrem Admasu Yekun et al.
Summary of Towards Symbolic Xai — Explanation Through Human Understandable Logical Relationships Between Features, by Thomas Schnake et al.
Summary of Democratizing Ai in Africa: Fl For Low-resource Edge Devices, by Jorge Fabila et al.
Summary of Geometry Of Lightning Self-attention: Identifiability and Dimension, by Nathan W. Henry et al.
Summary of Self-supervised Learning For Crystal Property Prediction Via Denoising, by Alexander New et al.
Summary of Categorical Data Clustering: 25 Years Beyond K-modes, by Tai Dinh et al.
Summary of Visionts: Visual Masked Autoencoders Are Free-lunch Zero-shot Time Series Forecasters, by Mouxiang Chen et al.
Summary of Joint Estimation and Prediction Of City-wide Delivery Demand: a Large Language Model Empowered Graph-based Learning Approach, by Tong Nie et al.
Summary of Minimax and Communication-efficient Distributed Best Subset Selection with Oracle Property, by Jingguo Lan et al.
Summary of The Transferability Of Downsamped Sparse Graph Convolutional Networks, by Qinji Shu et al.
Summary of Risk-averse Total-reward Mdps with Erm and Evar, by Xihong Su et al.
Summary of Structuring a Training Strategy to Robustify Perception Models with Realistic Image Augmentations, by Ahmed Hammam et al.
Summary of Fair Best Arm Identification with Fixed Confidence, by Alessio Russo et al.
Summary of Modularity in Transformers: Investigating Neuron Separability & Specialization, by Nicholas Pochinkov et al.
Summary of Analyzing Inference Privacy Risks Through Gradients in Machine Learning, by Zhuohang Li et al.
Summary of Theoretical Insights Into Overparameterized Models in Multi-task and Replay-based Continual Learning, by Mohammadamin Banayeeanzade et al.
Summary of An Empirical Study Of Scaling Laws For Transfer, by Matthew Barnett
Summary of Usersumbench: a Benchmark Framework For Evaluating User Summarization Approaches, by Chao Wang et al.
Summary of Discovery Of False Data Injection Schemes on Frequency Controllers with Reinforcement Learning, by Romesh Prasad et al.
Summary of Point Neuron Learning: a New Physics-informed Neural Network Architecture, by Hanwen Bi et al.
Summary of The Sample-communication Complexity Trade-off in Federated Q-learning, by Sudeep Salgia and Yuejie Chi
Summary of From Model Explanation to Data Misinterpretation: Uncovering the Pitfalls Of Post Hoc Explainers in Business Research, by Ronilo Ragodos et al.
Summary of A Tighter Convergence Proof Of Reverse Experience Replay, by Nan Jiang et al.
Summary of A Scalable K-medoids Clustering Via Whale Optimization Algorithm, by Huang Chenan and Narumasa Tsutsumida
Summary of Improving Time Series Classification with Representation Soft Label Smoothing, by Hengyi Ma et al.
Summary of Error-controlled Non-additive Interaction Discovery in Machine Learning Models, by Winston Chen et al.
Summary of Estimating Conditional Average Treatment Effects Via Sufficient Representation Learning, by Pengfei Shi et al.
Summary of Instant Adversarial Purification with Adversarial Consistency Distillation, by Chun Tong Lei et al.
Summary of A Survey Of the Self Supervised Learning Mechanisms For Vision Transformers, by Asifullah Khan et al.
Summary of Efficient Estimation Of Unique Components in Independent Component Analysis by Matrix Representation, By Yoshitatsu Matsuda and Kazunori Yamaguch
Summary of Fissionvae: Federated Non-iid Image Generation with Latent Space and Decoder Decomposition, by Chen Hu et al.