Paper List

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Summary of Solving the Inverse Alignment Problem For Efficient Rlhf, by Shambhavi Krishna et al.
Summary of Higher Order Transformers: Enhancing Stock Movement Prediction on Multimodal Time-series Data, by Soroush Omranpour et al.
Summary of Ragserve: Fast Quality-aware Rag Systems with Configuration Adaptation, by Siddhant Ray et al.
Summary of Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams, by Brandon Gower-winter et al.
Summary of Edge Ai-based Radio Frequency Fingerprinting For Iot Networks, by Ahmed Mohamed Hussain et al.
Summary of Exechecker: Where Did I Go Wrong?, by Yiwen Gu et al.
Summary of Too Big to Fool: Resisting Deception in Language Models, by Mohammad Reza Samsami et al.
Summary of Performance Evaluation Of Predictive Ai Models to Support Medical Decisions: Overview and Guidance, by Ben Van Calster et al.
Summary of Still “talking About Large Language Models”: Some Clarifications, by Murray Shanahan
Summary of Probabilistic Inverse Cameras: Image to 3d Via Multiview Geometry, by Rishabh Kabra et al.
Summary of Buzz to Broadcast: Predicting Sports Viewership Using Social Media Engagement, by Anakin Trotter
Summary of Interlocking-free Selective Rationalization Through Genetic-based Learning, by Federico Ruggeri et al.
Summary of Scbench: a Kv Cache-centric Analysis Of Long-context Methods, by Yucheng Li et al.
Summary of Advprefix: An Objective For Nuanced Llm Jailbreaks, by Sicheng Zhu et al.
Summary of Generative Ai in Medicine, by Divya Shanmugam et al.
Summary of Robust Image Classification with Multi-modal Large Language Models, by Francesco Villani et al.
Summary of A Library For Learning Neural Operators, by Jean Kossaifi et al.
Summary of Op-lora: the Blessing Of Dimensionality, by Piotr Teterwak et al.
Summary of Gaussianworld: Gaussian World Model For Streaming 3d Occupancy Prediction, by Sicheng Zuo et al.
Summary of Gaussianad: Gaussian-centric End-to-end Autonomous Driving, by Wenzhao Zheng et al.
Summary of Reinforcement Learning Enhanced Llms: a Survey, by Shuhe Wang et al.
Summary of Scalable Early Childhood Reading Performance Prediction, by Zhongkai Shangguan and Zanming Huang and Eshed Ohn-bar and Ola Ozernov-palchik and Derek Kosty and Michael Stoolmiller and Hank Fien
Summary of Groot-2: Weakly Supervised Multi-modal Instruction Following Agents, by Shaofei Cai et al.
Summary of Personalized and Sequential Text-to-image Generation, by Ofir Nabati et al.
Summary of Implicit Neural Compression Of Point Clouds, by Hongning Ruan et al.
Summary of Benchmarking Federated Learning For Semantic Datasets: Federated Scene Graph Generation, by Seungbum Ha et al.
Summary of Svgfusion: Scalable Text-to-svg Generation Via Vector Space Diffusion, by Ximing Xing et al.
Summary of Efficient Large-scale Traffic Forecasting with Transformers: a Spatial Data Management Perspective, by Yuchen Fang et al.
Summary of Matrix Completion Via Residual Spectral Matching, by Ziyuan Chen and Fang Yao
Summary of Text2cypher: Bridging Natural Language and Graph Databases, by Makbule Gulcin Ozsoy et al.
Summary of A Survey on Knowledge Graph Structure and Knowledge Graph Embeddings, by Jeffrey Sardina et al.
Summary of Hitz at Vardial 2025 Norsid: Overcoming Data Scarcity with Language Transfer and Automatic Data Annotation, by Jaione Bengoetxea et al.
Summary of Feature Selection For Latent Factor Models, by Rittwika Kansabanik et al.
Summary of Amuse: Adaptive Model Updating Using a Simulated Environment, by Louis Chislett et al.
Summary of Can Llms Convert Graphs to Text-attributed Graphs?, by Zehong Wang et al.
Summary of Investigating Generalization Capabilities Of Neural Networks by Means Of Loss Landscapes and Hessian Analysis, By Nikita Gabdullin
Summary of Learning Payoffs While Routing in Skill-based Queues, by Sanne Van Kempen et al.
Summary of Sims: An Interactive Tool For Geospatial Matching and Clustering, by Akram Zaytar et al.
Summary of Multi-head Encoding For Extreme Label Classification, by Daojun Liang et al.
Summary of Solving Robust Markov Decision Processes: Generic, Reliable, Efficient, by Tobias Meggendorfer et al.
Summary of Bicert: a Bilinear Mixed Integer Programming Formulation For Precise Certified Bounds Against Data Poisoning Attacks, by Tobias Lorenz et al.
Summary of Simple Guidance Mechanisms For Discrete Diffusion Models, by Yair Schiff et al.
Summary of Integrative Analysis Of Financial Market Sentiment Using Cnn and Gru For Risk Prediction and Alert Systems, by You Wu et al.
Summary of Efficient Continual Pre-training Of Llms For Low-resource Languages, by Arijit Nag et al.
Summary of Efficient Generative Modeling with Residual Vector Quantization-based Tokens, by Jaehyeon Kim et al.
Summary of Detecting Llm Hallucination Through Layer-wise Information Deficiency: Analysis Of Unanswerable Questions and Ambiguous Prompts, by Hazel Kim et al.
Summary of Adversarial Robustness Of Bottleneck Injected Deep Neural Networks For Task-oriented Communication, by Alireza Furutanpey and Pantelis A. Frangoudis and Patrik Szabo and Schahram Dustdar
Summary of Fdm-bench: a Comprehensive Benchmark For Evaluating Large Language Models in Additive Manufacturing Tasks, by Ahmadreza Eslaminia et al.
Summary of Multivariate Time Series Clustering For Environmental State Characterization Of Ground-based Gravitational-wave Detectors, by Rutuja Gurav et al.
Summary of Understand the Effectiveness Of Shortcuts Through the Lens Of Dca, by Youran Sun et al.
Summary of Leveraging Programmatically Generated Synthetic Data For Differentially Private Diffusion Training, by Yujin Choi et al.
Summary of Learning Structural Causal Models From Ordering: Identifiable Flow Models, by Minh Khoa Le et al.
Summary of Lingen: Towards High-resolution Minute-length Text-to-video Generation with Linear Computational Complexity, by Hongjie Wang et al.
Summary of Data-driven Transfer Learning Framework For Estimating Turning Movement Counts, by Xiaobo Ma et al.
Summary of Financial Sentiment Analysis: Leveraging Actual and Synthetic Data For Supervised Fine-tuning, by Abraham Atsiwo
Summary of Brain-inspired Chaotic Graph Backpropagation For Large-scale Combinatorial Optimization, by Peng Tao et al.
Summary of Analyzing Fairness Of Classification Machine Learning Model with Structured Dataset, by Ahmed Rashed et al.
Summary of Ttaq: Towards Stable Post-training Quantization in Continuous Domain Adaptation, by Junrui Xiao et al.
Summary of Analyzing Fairness Of Computer Vision and Natural Language Processing Models, by Ahmed Rashed et al.
Summary of Simulating Hard Attention Using Soft Attention, by Andy Yang et al.
Summary of One Node One Model: Featuring the Missing-half For Graph Clustering, by Xuanting Xie et al.
Summary of Towards Fair Graph Neural Networks Via Graph Counterfactual Without Sensitive Attributes, by Xuemin Wang et al.
Summary of What Constitutes a Deep Fake? the Blurry Line Between Legitimate Processing and Manipulation Under the Eu Ai Act, by Kristof Meding et al.
Summary of Llama 3 Meets Moe: Efficient Upcycling, by Aditya Vavre et al.
Summary of Ep-cfg: Energy-preserving Classifier-free Guidance, by Kai Zhang et al.
Summary of Grasp: Simple Yet Effective Graph Similarity Predictions, by Haoran Zheng et al.
Summary of Real-time Fall Detection Using Smartphone Accelerometers and Wifi Channel State Information, by Lingyun Wang et al.
Summary of Spectral Image Tokenizer, by Carlos Esteves et al.
Summary of Pole-based Vehicle Localization with Vector Maps: a Camera-lidar Comparative Study, by Maxime Noizet (heudiasyc) et al.
Summary of Revisiting Graph Homophily Measures, by Mikhail Mironov and Liudmila Prokhorenkova
Summary of The Cost Of Replicability in Active Learning, by Rupkatha Hira et al.
Summary of Dqa: An Efficient Method For Deep Quantization Of Deep Neural Network Activations, by Wenhao Hu et al.
Summary of Cual: Continual Uncertainty-aware Active Learner, by Amanda Rios et al.
Summary of Transferlight: Zero-shot Traffic Signal Control on Any Road-network, by Johann Schmidt et al.
Summary of Investigating the Impact Of Balancing, Filtering, and Complexity on Predictive Multiplicity: a Data-centric Perspective, by Mustafa Cavus and Przemyslaw Biecek
Summary of The Unreasonable Effectiveness Of Gaussian Score Approximation For Diffusion Models and Its Applications, by Binxu Wang et al.
Summary of New Approach to Clustering Random Attributes, by Zenon Gniazdowski
Summary of A Quasilinear Algorithm For Computing Higher-order Derivatives Of Deep Feed-forward Neural Networks, by Kyle R. Chickering
Summary of Towards Joint Graph Learning and Sampling Set Selection From Data, by Shashank N. Sridhara et al.
Summary of Toward Foundation Model For Multivariate Wearable Sensing Of Physiological Signals, by Yunfei Luo et al.
Summary of A Statistical Analysis For Supervised Deep Learning with Exponential Families For Intrinsically Low-dimensional Data, by Saptarshi Chakraborty and Peter L. Bartlett
Summary of Is It the Model or the Metric — on Robustness Measures Of Deeplearning Models, by Zhijin Lyu et al.
Summary of Infinite-dimensional Next-generation Reservoir Computing, by Lyudmila Grigoryeva et al.
Summary of Deepnoc: a Deep Learning System to Assign the Number Of Contributors to a Short Tandem Repeat Dna Profile, by Duncan Taylor and Melissa A. Humphries
Summary of Universal Inceptive Gnns by Eliminating the Smoothness-generalization Dilemma, By Ming Gu et al.
Summary of The Complexity Dynamics Of Grokking, by Branton Demoss et al.
Summary of Federated Learning Of Dynamic Bayesian Network Via Continuous Optimization From Time Series Data, by Jianhong Chen et al.
Summary of Mos: Model Surgery For Pre-trained Model-based Class-incremental Learning, by Hai-long Sun et al.
Summary of Mixture Of Neural Fields For Heterogeneous Reconstruction in Cryo-em, by Axel Levy and Rishwanth Raghu and David Shustin and Adele Rui-yang Peng and Huan Li and Oliver Biggs Clarke and Gordon Wetzstein and Ellen D. Zhong
Summary of Search Strategy Generation For Branch and Bound Using Genetic Programming, by Gwen Maudet et al.
Summary of Storm: a Spatio-temporal Factor Model Based on Dual Vector Quantized Variational Autoencoders For Financial Trading, by Yilei Zhao et al.
Summary of Neural Network Symmetrisation in Concrete Settings, by Rob Cornish
Summary of A Novel Ensemble-based Deep Learning Model with Explainable Ai For Accurate Kidney Disease Diagnosis, by Md. Arifuzzaman et al.
Summary of Bayesian Optimization Via Continual Variational Last Layer Training, by Paul Brunzema et al.
Summary of Capturing the Temporal Dependence Of Training Data Influence, by Jiachen T. Wang et al.
Summary of Early Detection Of At-risk Students Using Machine Learning, by Azucena L. Jimenez Martinez et al.
Summary of Simavatar: Simulation-ready Avatars with Layered Hair and Clothing, by Xueting Li et al.
Summary of Sail Into the Headwind: Alignment Via Robust Rewards and Dynamic Labels Against Reward Hacking, by Paria Rashidinejad et al.
Summary of Does Representation Matter? Exploring Intermediate Layers in Large Language Models, by Oscar Skean et al.
Summary of Obfuscated Activations Bypass Llm Latent-space Defenses, by Luke Bailey and Alex Serrano and Abhay Sheshadri and Mikhail Seleznyov and Jordan Taylor and Erik Jenner and Jacob Hilton and Stephen Casper and Carlos Guestrin and Scott Emmons