Paper List

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Summary of Enhancing Investment Analysis: Optimizing Ai-agent Collaboration in Financial Research, by Xuewen Han et al.
Summary of Alignxie: Improving Multilingual Information Extraction by Cross-lingual Alignment, By Yuxin Zuo et al.
Summary of A Simple Packing Algorithm For Optimized Mapping Of Artificial Neural Networks Onto Non-volatile Memory Cross-bar Arrays, by W. Haensch
Summary of Synergy-guided Regional Supervision Of Pseudo Labels For Semi-supervised Medical Image Segmentation, by Tao Wang et al.
Summary of Normalized Space Alignment: a Versatile Metric For Representation Analysis, by Danish Ebadulla et al.
Summary of Real-time Stress Detection on Social Network Posts Using Big Data Technology, by Hai-yen Phan Nguyen et al.
Summary of Continuous Sign Language Recognition System Using Deep Learning with Mediapipe Holistic, by Sharvani Srivastava et al.
Summary of Neural Fingerprints For Adversarial Attack Detection, by Haim Fisher et al.
Summary of Hypercube Policy Regularization Framework For Offline Reinforcement Learning, by Yi Shen et al.
Summary of Peri-midformer: Periodic Pyramid Transformer For Time Series Analysis, by Qiang Wu et al.
Summary of Uncertainty Prediction Neural Network (upnet): Embedding Artificial Neural Network in Bayesian Inversion Framework to Quantify the Uncertainty Of Remote Sensing Retrieval, by Dasheng Fan et al.
Summary of Constrained Latent Action Policies For Model-based Offline Reinforcement Learning, by Marvin Alles et al.
Summary of Pruning Literals For Highly Efficient Explainability at Word Level, by Rohan Kumar Yadav et al.
Summary of Higher-order Gnns Meet Efficiency: Sparse Sobolev Graph Neural Networks, by Jhony H. Giraldo et al.
Summary of Impact Of Label Noise on Learning Complex Features, by Rahul Vashisht and P. Krishna Kumar and Harsha Vardhan Govind and Harish G. Ramaswamy
Summary of Towards Robust Federated Analytics Via Differentially Private Measurements Of Statistical Heterogeneity, by Mary Scott et al.
Summary of On the Inherent Robustness Of One-stage Object Detection Against Out-of-distribution Data, by Aitor Martinez-seras et al.
Summary of Interpreting the Learned Model in Muzero Planning, by Hung Guei et al.
Summary of The Impact Of Semi-supervised Learning on Line Segment Detection, by Johanna Engman et al.
Summary of Cybercrime Prediction Via Geographically Weighted Learning, by Muhammad Al-zafar Khan et al.
Summary of Sharp Analysis For Kl-regularized Contextual Bandits and Rlhf, by Heyang Zhao and Chenlu Ye and Quanquan Gu and Tong Zhang
Summary of Wav2sleep: a Unified Multi-modal Approach to Sleep Stage Classification From Physiological Signals, by Jonathan F. Carter and Lionel Tarassenko
Summary of Disco: Discovering Overfittings As Causal Rules For Text Classification Models, by Zijian Zhang et al.
Summary of Robust and Efficient Fine-tuning Of Llms with Bayesian Reparameterization Of Low-rank Adaptation, by Ayan Sengupta et al.
Summary of Comfairgnn: Community Fair Graph Neural Network, by Yonas Sium et al.
Summary of Game-theoretic Defenses For Robust Conformal Prediction Against Adversarial Attacks in Medical Imaging, by Rui Luo et al.
Summary of Benchmarking Large Language Models with Integer Sequence Generation Tasks, by Daniel O’malley et al.
Summary of Neuro-symbolic Ai: Explainability, Challenges, and Future Trends, by Xin Zhang et al.
Summary of Trajgpt: Controlled Synthetic Trajectory Generation Using a Multitask Transformer-based Spatiotemporal Model, by Shang-ling Hsu et al.
Summary of Bridging the Gap: Representation Spaces in Neuro-symbolic Ai, by Xin Zhang et al.
Summary of Unlearning In- Vs. Out-of-distribution Data in Llms Under Gradient-based Method, by Teodora Baluta and Pascal Lamblin and Daniel Tarlow and Fabian Pedregosa and Gintare Karolina Dziugaite
Summary of Statistical-computational Trade-offs For Recursive Adaptive Partitioning Estimators, by Yan Shuo Tan et al.
Summary of Remote Sensing-based Assessment Of Economic Development, by Yijian Pan et al.
Summary of A Bayesian Mixture Model Of Temporal Point Processes with Determinantal Point Process Prior, by Yiwei Dong et al.
Summary of Bendvlm: Test-time Debiasing Of Vision-language Embeddings, by Walter Gerych et al.
Summary of Variational Low-rank Adaptation Using Ivon, by Bai Cong et al.
Summary of Unsupervised Abnormal Stop Detection For Long Distance Coaches with Low-frequency Gps, by Jiaxin Deng et al.
Summary of Scaling Laws For Pre-training Agents and World Models, by Tim Pearce et al.
Summary of Towards Unifying Interpretability and Control: Evaluation Via Intervention, by Usha Bhalla et al.
Summary of Comparing Fairness Of Generative Mobility Models, by Daniel Wang et al.
Summary of Enabling Adaptive Agent Training in Open-ended Simulators by Targeting Diversity, By Robby Costales and Stefanos Nikolaidis
Summary of Series-to-series Diffusion Bridge Model, by Hao Yang et al.
Summary of Llm-r: a Framework For Domain-adaptive Maintenance Scheme Generation Combining Hierarchical Agents and Rag, by Laifa Tao et al.
Summary of Approximate Equivariance in Reinforcement Learning, by Jung Yeon Park et al.
Summary of Ion-c: Integration Of Overlapping Networks Via Constraints, by Praveen Nair et al.
Summary of Multimodal Structure-aware Quantum Data Processing, by Hala Hawashin et al.
Summary of Lshbloom: Memory-efficient, Extreme-scale Document Deduplication, by Arham Khan et al.
Summary of Graph Neural Networks and Non-commuting Operators, by Mauricio Velasco and Kaiying O’hare and Bernardo Rychtenberg and Soledad Villar
Summary of Generative Discrete Event Process Simulation For Hidden Markov Models to Predict Competitor Time-to-market, by Nandakishore Santhi et al.
Summary of Labels in Extremes: How Well Calibrated Are Extreme Multi-label Classifiers?, by Nasib Ullah and Erik Schultheis and Jinbin Zhang and Rohit Babbar
Summary of Generating Synthetic Electronic Health Record (ehr) Data: a Review with Benchmarking, by Xingran Chen et al.
Summary of Language Models Are Hidden Reasoners: Unlocking Latent Reasoning Capabilities Via Self-rewarding, by Haolin Chen et al.
Summary of Robust Real-time Mortality Prediction in the Intensive Care Unit Using Temporal Difference Learning, by Thomas Frost et al.
Summary of Fairness with Exponential Weights, by Stephen Pasteris et al.
Summary of Theoretically Informed Selection Of Latent Activation in Autoencoder Based Recommender Systems, by Aviad Susman
Summary of A Multilingual Sentiment Lexicon For Low-resource Language Translation Using Large Languages Models and Explainable Ai, by Melusi Malinga et al.
Summary of Efficient Symmetry-aware Materials Generation Via Hierarchical Generative Flow Networks, by Tri Minh Nguyen et al.
Summary of Gradient Boosting Trees and Large Language Models For Tabular Data Few-shot Learning, by Carlos Huertas
Summary of Scaling Laws For Precision, by Tanishq Kumar et al.
Summary of Enhancing Classroom Teaching with Llms and Rag, by Elizabeth a Mullins et al.
Summary of Impact Of White Noise in Artificial Neural Networks Trained For Classification: Performance and Noise Mitigation Strategies, by Nadezhda Semenova and Daniel Brunner
Summary of Classification with Conceptual Safeguards, by Hailey Joren et al.
Summary of Gagsl: Global-augmented Graph Structure Learning Via Graph Information Bottleneck, by Shuangjie Li et al.
Summary of Interactions Across Blocks in Post-training Quantization Of Large Language Models, by Khasmamad Shabanovi et al.
Summary of Fine-tuning — a Transfer Learning Approach, by Joseph Arul Raj et al.
Summary of Can Custom Models Learn In-context? An Exploration Of Hybrid Architecture Performance on In-context Learning Tasks, by Ryan Campbell et al.
Summary of Customized Multiple Clustering Via Multi-modal Subspace Proxy Learning, by Jiawei Yao et al.
Summary of Towards Resource-efficient Federated Learning in Industrial Iot For Multivariate Time Series Analysis, by Alexandros Gkillas et al.
Summary of Multi-scale and Multimodal Species Distribution Modeling, by Nina Van Tiel et al.
Summary of Non-stationary Learning Of Neural Networks with Automatic Soft Parameter Reset, by Alexandre Galashov et al.
Summary of Stepping Forward on the Last Mile, by Chen Feng et al.
Summary of Interpretable and Efficient Data-driven Discovery and Control Of Distributed Systems, by Florian Wolf et al.
Summary of How Transformers Solve Propositional Logic Problems: a Mechanistic Analysis, by Guan Zhe Hong et al.
Summary of Partial Structure Discovery Is Sufficient For No-regret Learning in Causal Bandits, by Muhammad Qasim Elahi et al.
Summary of Multi-branch Spatio-temporal Graph Neural Network For Efficient Ice Layer Thickness Prediction, by Zesheng Liu et al.
Summary of Weighted Sobolev Approximation Rates For Neural Networks on Unbounded Domains, by Ahmed Abdeljawad et al.
Summary of Medical Adaptation Of Large Language and Vision-language Models: Are We Making Progress?, by Daniel P. Jeong et al.
Summary of Self-consistency Preference Optimization, by Archiki Prasad et al.
Summary of Scalable Dp-sgd: Shuffling Vs. Poisson Subsampling, by Lynn Chua et al.
Summary of Debiasing Synthetic Data Generated by Deep Generative Models, By Alexander Decruyenaere et al.
Summary of Wiflexformer: Efficient Wifi-based Person-centric Sensing, by Julian Strohmayer et al.
Summary of Equivariant Graph Network Approximations Of High-degree Polynomials For Force Field Prediction, by Zhao Xu et al.
Summary of Quantum Diffusion Models For Few-shot Learning, by Ruhan Wang et al.
Summary of Deferred Poisoning: Making the Model More Vulnerable Via Hessian Singularization, by Yuhao He et al.
Summary of Optimal Defenses Against Gradient Reconstruction Attacks, by Yuxiao Chen et al.
Summary of Symbolic Regression Via Mdlformer-guided Search: From Minimizing Prediction Error to Minimizing Description Length, by Zihan Yu et al.
Summary of Content-style Learning From Unaligned Domains: Identifiability Under Unknown Latent Dimensions, by Sagar Shrestha and Xiao Fu
Summary of A Bayesian Approach to Data Point Selection, by Xinnuo Xu et al.
Summary of No Culture Left Behind: Artelingo-28, a Benchmark Of Wikiart with Captions in 28 Languages, by Youssef Mohamed et al.
Summary of Navigating the Landscape Of Multimodal Ai in Medicine: a Scoping Review on Technical Challenges and Clinical Applications, by Daan Schouten et al.
Summary of The N-grammys: Accelerating Autoregressive Inference with Learning-free Batched Speculation, by Lawrence Stewart (sierra) et al.
Summary of Beyond the Rainbow: High Performance Deep Reinforcement Learning on a Desktop Pc, by Tyler Clark et al.
Summary of Overcoming Label Shift in Targeted Federated Learning, by Edvin Listo Zec and Adam Breitholtz and Fredrik D. Johansson
Summary of Flexible Task Abstractions Emerge in Linear Networks with Fast and Bounded Units, by Kai Sandbrink et al.
Summary of Hybrid Transfer Reinforcement Learning: Provable Sample Efficiency From Shifted-dynamics Data, by Chengrui Qu et al.
Summary of Reconsidering the Performance Of Gae in Link Prediction, by Weishuo Ma and Yanbo Wang and Xiyuan Wang and Muhan Zhang
Summary of Explora: Efficient Exemplar Subset Selection For Complex Reasoning, by Kiran Purohit et al.
Summary of Mambapeft: Exploring Parameter-efficient Fine-tuning For Mamba, by Masakazu Yoshimura et al.
Summary of Meg: Medical Knowledge-augmented Large Language Models For Question Answering, by Laura Cabello et al.
Summary of Polynomial Composition Activations: Unleashing the Dynamics Of Large Language Models, by Zhijian Zhuo and Ya Wang and Yutao Zeng and Xiaoqing Li and Xun Zhou and Jinwen Ma