Paper List

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Summary of Fully Open Source Moxin-7b Technical Report, by Pu Zhao et al.
Summary of Classifier-free Guidance in Llms Safety, by Roman Smirnov
Summary of Gl-fusion: Rethinking the Combination Of Graph Neural Network and Large Language Model, by Haotong Yang et al.
Summary of Egean: An Exposure-guided Embedding Alignment Network For Post-click Conversion Estimation, by Huajian Feng et al.
Summary of Comb Tensor Networks Vs. Matrix Product States: Enhanced Efficiency in High-dimensional Spaces, by Danylo Kolesnyk et al.
Summary of Tube Loss: a Novel Approach For Prediction Interval Estimation and Probabilistic Forecasting, by Pritam Anand et al.
Summary of Taming Sensitive Weights : Noise Perturbation Fine-tuning For Robust Llm Quantization, by Dongwei Wang et al.
Summary of The Narrow Gate: Localized Image-text Communication in Vision-language Models, by Alessandro Serra et al.
Summary of Off-policy Maximum Entropy Rl with Future State and Action Visitation Measures, by Adrien Bolland et al.
Summary of I Don’t Know: Explicit Modeling Of Uncertainty with An [idk] Token, by Roi Cohen et al.
Summary of Policy Agnostic Rl: Offline Rl and Online Rl Fine-tuning Of Any Class and Backbone, by Max Sobol Mark et al.
Summary of Exploring Critical Testing Scenarios For Decision-making Policies: An Llm Approach, by Weichao Xu et al.
Summary of Some Best Practices in Operator Learning, by Dustin Enyeart and Guang Lin
Summary of Impact Of Privacy Parameters on Deep Learning Models For Image Classification, by Basanta Chaulagain
Summary of Omnievalkit: a Modular, Lightweight Toolbox For Evaluating Large Language Model and Its Omni-extensions, by Yi-kai Zhang and Xu-xiang Zhong and Shiyin Lu and Qing-guo Chen and De-chuan Zhan and Han-jia Ye
Summary of Misfeat: Feature Selection For Subgroups with Systematic Missing Data, by Bar Genossar et al.
Summary of How to Merge Your Multimodal Models Over Time?, by Sebastian Dziadzio et al.
Summary of Toward Non-invasive Diagnosis Of Bankart Lesions with Deep Learning, by Sahil Sethi et al.
Summary of Convolution Goes Higher-order: a Biologically Inspired Mechanism Empowers Image Classification, by Simone Azeglio et al.
Summary of Onebench to Test Them All: Sample-level Benchmarking Over Open-ended Capabilities, by Adhiraj Ghosh et al.
Summary of Refusal Tokens: a Simple Way to Calibrate Refusals in Large Language Models, by Neel Jain et al.
Summary of Proactive Agents For Multi-turn Text-to-image Generation Under Uncertainty, by Meera Hahn et al.
Summary of Visual Lexicon: Rich Image Features in Language Space, by Xudong Wang et al.
Summary of Around the World in 80 Timesteps: a Generative Approach to Global Visual Geolocation, by Nicolas Dufour and David Picard and Vicky Kalogeiton and Loic Landrieu
Summary of Driv3r: Learning Dense 4d Reconstruction For Autonomous Driving, by Xin Fei et al.
Summary of Understanding the Impact Of News Articles on the Movement Of Market Index: a Case on Nifty 50, by Subhasis Dasgupta et al.
Summary of Federated Block-term Tensor Regression For Decentralised Data Analysis in Healthcare, by Axel Faes et al.
Summary of Food For Thought: How Can Machine Learning Help Better Predict and Understand Changes in Food Prices?, by Kristina L. Kupferschmidt et al.
Summary of From Uncertainty to Trust: Enhancing Reliability in Vision-language Models with Uncertainty-guided Dropout Decoding, by Yixiong Fang et al.
Summary of Simudice: Offline Policy Optimization Through World Model Updates and Dice Estimation, by Catalin E. Brita et al.
Summary of An Inferential Measure Of Dependence Between Two Systems Using Bayesian Model Comparison, by Guillaume Marrelec and Alain Giron
Summary of Unraveling the Complexity Of Memory in Rl Agents: An Approach For Classification and Evaluation, by Egor Cherepanov et al.
Summary of Inverting Visual Representations with Detection Transformers, by Jan Rathjens et al.
Summary of A Cautionary Tale on the Cost-effectiveness Of Collaborative Ai in Real-world Medical Applications, by Francesco Cremonesi et al.
Summary of Understanding Factual Recall in Transformers Via Associative Memories, by Eshaan Nichani et al.
Summary of Sloth: Scaling Laws For Llm Skills to Predict Multi-benchmark Performance Across Families, by Felipe Maia Polo et al.
Summary of On How Iterative Magnitude Pruning Discovers Local Receptive Fields in Fully Connected Neural Networks, by William T. Redman et al.
Summary of Prediction Of Occluded Pedestrians in Road Scenes Using Human-like Reasoning: Insights From the Occluroads Dataset, by Melo Castillo Angie Nataly et al.
Summary of Processbench: Identifying Process Errors in Mathematical Reasoning, by Chujie Zheng et al.
Summary of When Dimensionality Reduction Meets Graph (drawing) Theory: Introducing a Common Framework, Challenges and Opportunities, by Fernando Paulovich et al.
Summary of Dex: Data Channel Extension For Efficient Cnn Inference on Tiny Ai Accelerators, by Taesik Gong et al.
Summary of Towards Controllable Speech Synthesis in the Era Of Large Language Models: a Survey, by Tianxin Xie et al.
Summary of Conden-fi: Consistency and Diversity Learning-based Multi-view Unsupervised Feature and In-stance Co-selection, by Yanyong Huang et al.
Summary of Vulnerability Of Text-matching in Ml/ai Conference Reviewer Assignments to Collusions, by Jhih-yi (janet) Hsieh et al.
Summary of Copyright-protected Language Generation Via Adaptive Model Fusion, by Javier Abad et al.
Summary of Self-interested Agents in Collaborative Machine Learning: An Incentivized Adaptive Data-centric Framework, by Nithia Vijayan and Bryan Kian Hsiang Low
Summary of Beyond Scalars: Concept-based Alignment Analysis in Vision Transformers, by Johanna Vielhaben et al.
Summary of Table2image: Interpretable Tabular Data Classification with Realistic Image Transformations, by Seungeun Lee et al.
Summary of Flow Matching Guide and Code, by Yaron Lipman et al.
Summary of Dsai: Unbiased and Interpretable Latent Feature Extraction For Data-centric Ai, by Hyowon Cho et al.
Summary of Normalizing Flows Are Capable Generative Models, by Shuangfei Zhai et al.
Summary of Not All Errors Are Equal: Investigation Of Speech Recognition Errors in Alzheimer’s Disease Detection, by Jiawen Kang et al.
Summary of Graphneuralnetworks.jl: Deep Learning on Graphs with Julia, by Carlo Lucibello et al.
Summary of Measuring Pre-training Data Quality Without Labels For Time Series Foundation Models, by Songkang Wen et al.
Summary of Exploring Memorization and Copyright Violation in Frontier Llms: a Study Of the New York Times V. Openai 2023 Lawsuit, by Joshua Freeman et al.
Summary of Low-rank Matrix Factorizations with Volume-based Constraints and Regularizations, by Olivier Vu Thanh
Summary of Gentle Local Robustness Implies Generalization, by Khoat Than et al.
Summary of Exploring the Impact Of Synthetic Data on Human Gesture Recognition Tasks Using Gans, by George Kontogiannis et al.
Summary of Pypulse: a Python Library For Biosignal Imputation, by Kevin Gao et al.
Summary of Edge Delayed Deep Deterministic Policy Gradient: Efficient Continuous Control For Edge Scenarios, by Alberto Sinigaglia et al.
Summary of Batchtopk Sparse Autoencoders, by Bart Bussmann et al.
Summary of Can Foundation Models Actively Gather Information in Interactive Environments to Test Hypotheses?, by Nan Rosemary Ke et al.
Summary of Federated Split Learning with Model Pruning and Gradient Quantization in Wireless Networks, by Junhe Zhang et al.
Summary of Integrating Expert Labels Into Llm-based Emission Goal Detection: Example Selection Vs Automatic Prompt Design, by Marco Wrzalik et al.
Summary of Gated Delta Networks: Improving Mamba2 with Delta Rule, by Songlin Yang et al.
Summary of How Certain Are Uncertainty Estimates? Three Novel Earth Observation Datasets For Benchmarking Uncertainty Quantification in Machine Learning, by Yuanyuan Wang et al.
Summary of Active Learning with Context Sampling and One-vs-rest Entropy For Semantic Segmentation, by Fei Wu et al.
Summary of Enhanced Computationally Efficient Long Lora Inspired Perceiver Architectures For Auto-regressive Language Modeling, by Kaleel Mahmood and Shaoyi Huang
Summary of Bounded Exploration with World Model Uncertainty in Soft Actor-critic Reinforcement Learning Algorithm, by Ting Qiao et al.
Summary of Powermamba: a Deep State Space Model and Comprehensive Benchmark For Time Series Prediction in Electric Power Systems, by Ali Menati et al.
Summary of Mmedpo: Aligning Medical Vision-language Models with Clinical-aware Multimodal Preference Optimization, by Kangyu Zhu et al.
Summary of Homogeneous Dynamics Space For Heterogeneous Humans, by Xinpeng Liu et al.
Summary of Advancements in Machine Learning and Deep Learning For Early Detection and Management Of Mental Health Disorder, by Kamala Devi Kannan et al.
Summary of Mosh: Modeling Multi-objective Tradeoffs with Soft and Hard Bounds, by Edward Chen et al.
Summary of Is the Neural Tangent Kernel Of Pinns Deep Learning General Partial Differential Equations Always Convergent ?, by Zijian Zhou et al.
Summary of Obstacle-aware Gaussian Process Regression, by Gaurav Shrivastava
Summary of Conservative Contextual Bandits: Beyond Linear Representations, by Rohan Deb et al.
Summary of Out-of-distribution Detection with Overlap Index, by Hao Fu et al.
Summary of Revisiting the Necessity Of Graph Learning and Common Graph Benchmarks, by Isay Katsman et al.
Summary of Alphaverus: Bootstrapping Formally Verified Code Generation Through Self-improving Translation and Treefinement, by Pranjal Aggarwal et al.
Summary of Applying Machine Learning Tools For Urban Resilience Against Floods, by Mahla Ardebili Pour and Mohammad B. Ghiasi and Ali Karkehabadi
Summary of Skill-enhanced Reinforcement Learning Acceleration From Demonstrations, by Hanping Zhang et al.
Summary of H-fedsn: Personalized Sparse Networks For Efficient and Accurate Hierarchical Federated Learning For Iot Applications, by Jiechao Gao et al.
Summary of Representational Transfer Learning For Matrix Completion, by Yong He and Zeyu Li and Dong Liu and Kangxiang Qin and Jiahui Xie
Summary of Variface: Fair and Diverse Synthetic Dataset Generation For Face Recognition, by Michael Yeung et al.
Summary of A Self-guided Multimodal Approach to Enhancing Graph Representation Learning For Alzheimer’s Diseases, by Zhepeng Wang et al.
Summary of Optimizing Multi-task Learning For Enhanced Performance in Large Language Models, by Zhen Qi et al.
Summary of Accurate Multi-category Student Performance Forecasting at Early Stages Of Online Education Using Neural Networks, by Naveed Ur Rehman Junejo et al.
Summary of Exploring Multi-grained Concept Annotations For Multimodal Large Language Models, by Xiao Xu et al.
Summary of Language Hooks: a Modular Framework For Augmenting Llm Reasoning That Decouples Tool Usage From the Model and Its Prompt, by Damien De Mijolla et al.
Summary of Pig: Physics-informed Gaussians As Adaptive Parametric Mesh Representations, by Namgyu Kang et al.
Summary of Does Rlhf Scale? Exploring the Impacts From Data, Model, and Method, by Zhenyu Hou et al.
Summary of 1-800-shared-tasks at Regnlp: Lexical Reranking Of Semantic Retrieval (leser) For Regulatory Question Answering, by Jebish Purbey et al.
Summary of Siforest: Detecting Network Anomalies with Set-structured Isolation Forest, by Christie Djidjev
Summary of Post-hoc Probabilistic Vision-language Models, by Anton Baumann et al.
Summary of Track4gen: Teaching Video Diffusion Models to Track Points Improves Video Generation, by Hyeonho Jeong et al.
Summary of Can Generative Ai Solve Your In-context Learning Problem? a Martingale Perspective, by Andrew Jesson and Nicolas Beltran-velez and David Blei
Summary of On Socially Fair Low-rank Approximation and Column Subset Selection, by Zhao Song et al.
Summary of Curse Of Attention: a Kernel-based Perspective For Why Transformers Fail to Generalize on Time Series Forecasting and Beyond, by Yekun Ke et al.
Summary of Hyperspectral Image Spectral-spatial Feature Extraction Via Tensor Principal Component Analysis, by Yuemei Ren et al.