Paper List

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Summary of Cliqueformer: Model-based Optimization with Structured Transformers, by Jakub Grudzien Kuba et al.
Summary of A Little Human Data Goes a Long Way, by Dhananjay Ashok and Jonathan May
Summary of Communication-efficient and Tensorized Federated Fine-tuning Of Large Language Models, by Sajjad Ghiasvand et al.
Summary of On Debiasing Text Embeddings Through Context Injection, by Thomas Uriot
Summary of In-context Kv-cache Eviction For Llms Via Attention-gate, by Zihao Zeng et al.
Summary of Improving Instruction-following in Language Models Through Activation Steering, by Alessandro Stolfo et al.
Summary of Towards More Effective Table-to-text Generation: Assessing In-context Learning and Self-evaluation with Open-source Models, by Sahar Iravani et al.
Summary of At-rag: An Adaptive Rag Model Enhancing Query Efficiency with Topic Filtering and Iterative Reasoning, by Mohammad Reza Rezaei et al.
Summary of Scaling Laws For Multilingual Language Models, by Yifei He et al.
Summary of Fair Clustering For Data Summarization: Improved Approximation Algorithms and Complexity Insights, by Ameet Gadekar et al.
Summary of Credal Two-sample Tests Of Epistemic Uncertainty, by Siu Lun Chau et al.
Summary of Sok: on Finding Common Ground in Loss Landscapes Using Deep Model Merging Techniques, by Arham Khan et al.
Summary of Merge to Learn: Efficiently Adding Skills to Language Models with Model Merging, by Jacob Morrison et al.
Summary of Multi-modal Graph Neural Networks For Localized Off-grid Weather Forecasting, by Qidong Yang et al.
Summary of Mechanistic Unlearning: Robust Knowledge Unlearning and Editing Via Mechanistic Localization, by Phillip Guo et al.
Summary of Syn2real Domain Generalization For Underwater Mine-like Object Detection Using Side-scan Sonar, by Aayush Agrawal et al.
Summary of A Note on Shumailov Et Al. (2024): `ai Models Collapse When Trained on Recursively Generated Data’, by Ali Borji
Summary of Reinforcement Learning with Euclidean Data Augmentation For State-based Continuous Control, by Jinzhu Luo et al.
Summary of Flash Inference: Near Linear Time Inference For Long Convolution Sequence Models and Beyond, by Costin-andrei Oncescu et al.
Summary of Sset: Swapping-sliding Explanation For Time Series Classifiers in Affect Detection, by Nazanin Fouladgar et al.
Summary of Double-bayesian Learning, by Stefan Jaeger
Summary of Hiding-in-plain-sight (hips) Attack on Clip For Targetted Object Removal From Images, by Arka Daw et al.
Summary of Llm Chain Ensembles For Scalable and Accurate Data Annotation, by David Farr et al.
Summary of Context-scaling Versus Task-scaling in In-context Learning, by Amirhesam Abedsoltan et al.
Summary of Judgebench: a Benchmark For Evaluating Llm-based Judges, by Sijun Tan et al.
Summary of Metal Price Spike Prediction Via a Neurosymbolic Ensemble Approach, by Nathaniel Lee et al.
Summary of Dual Prototype Evolving For Test-time Generalization Of Vision-language Models, by Ce Zhang et al.
Summary of Rethinking Misalignment in Vision-language Model Adaptation From a Causal Perspective, by Yanan Zhang et al.
Summary of Avid: Adapting Video Diffusion Models to World Models, by Marc Rigter et al.
Summary of Gcm-net: Graph-enhanced Cross-modal Infusion with a Metaheuristic-driven Network For Video Sentiment and Emotion Analysis, by Prasad Chaudhari et al.
Summary of Generative Reward Models, by Dakota Mahan et al.
Summary of Answering Questions in Stages: Prompt Chaining For Contract Qa, by Adam Roegiest et al.
Summary of Textlap: Customizing Language Models For Text-to-layout Planning, by Jian Chen et al.
Summary of Uniautoml: a Human-centered Framework For Unified Discriminative and Generative Automl with Large Language Models, by Jiayi Guo et al.
Summary of Recurformer: Not All Transformer Heads Need Self-attention, by Ruiqing Yan et al.
Summary of Diversity Of Thought Elicits Stronger Reasoning Capabilities in Multi-agent Debate Frameworks, by Mahmood Hegazy
Summary of The Large Language Model Greeklegalroberta, by Vasileios Saketos and Despina-athanasia Pantazi and Manolis Koubarakis
Summary of Towards Homogeneous Lexical Tone Decoding From Heterogeneous Intracranial Recordings, by Di Wu et al.
Summary of Elf-gym: Evaluating Large Language Models Generated Features For Tabular Prediction, by Yanlin Zhang et al.
Summary of Imas: a Comprehensive Agentic Approach to Rural Healthcare Delivery, by Agasthya Gangavarapu and Ananya Gangavarapu
Summary of Language Model Preference Evaluation with Multiple Weak Evaluators, by Zhengyu Hu et al.
Summary of Skill Learning Using Process Mining For Large Language Model Plan Generation, by Andrei Cosmin Redis et al.
Summary of Beyond Right and Wrong: Mitigating Cold Start in Knowledge Tracing Using Large Language Model and Option Weight, by Jongwoo Kim et al.
Summary of Position Specific Scoring Is All You Need? Revisiting Protein Sequence Classification Tasks, by Sarwan Ali et al.
Summary of Explanation-preserving Augmentation For Semi-supervised Graph Representation Learning, by Zhuomin Chen et al.
Summary of New Paradigm Of Adversarial Training: Breaking Inherent Trade-off Between Accuracy and Robustness Via Dummy Classes, by Yanyun Wang et al.
Summary of Optimizing Multi-task Learning For Accurate Spacecraft Pose Estimation, by Francesco Evangelisti et al.
Summary of Context Matters: Leveraging Contextual Features For Time Series Forecasting, by Sameep Chattopadhyay et al.
Summary of Automatic Mapping Of Anatomical Landmarks From Free-text Using Large Language Models: Insights From Llama-2, by Mohamad Abdi et al.
Summary of Local Transfer Learning Gaussian Process Modeling, with Applications to Surrogate Modeling Of Expensive Computer Simulators, by Xinming Wang et al.
Summary of Machine Learning Approach to Brain Tumor Detection and Classification, by Alice Oh et al.
Summary of Neural-based Control For Cubesat Docking Maneuvers, by Matteo Stoisa et al.
Summary of Embedding An Ethical Mind: Aligning Text-to-image Synthesis Via Lightweight Value Optimization, by Xingqi Wang et al.
Summary of Optimizing 3d Geometry Reconstruction From Implicit Neural Representations, by Shen Fan and Przemyslaw Musialski
Summary of How Does Variance Shape the Regret in Contextual Bandits?, by Zeyu Jia et al.
Summary of Counterfactual Generative Modeling with Variational Causal Inference, by Yulun Wu et al.
Summary of Cream: Consistency Regularized Self-rewarding Language Models, by Zhaoyang Wang et al.
Summary of Initialization Method For Factorization Machine Based on Low-rank Approximation For Constructing a Corrected Approximate Ising Model, by Yuya Seki et al.
Summary of Styledistance: Stronger Content-independent Style Embeddings with Synthetic Parallel Examples, by Ajay Patel et al.
Summary of Safree: Training-free and Adaptive Guard For Safe Text-to-image and Video Generation, by Jaehong Yoon et al.
Summary of The Non-local Model Merging Problem: Permutation Symmetries and Variance Collapse, by Ekansh Sharma et al.
Summary of Meta-unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts, by Hongcheng Gao et al.
Summary of Geometry-aware Generative Autoencoders For Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds, by Xingzhi Sun et al.
Summary of Kcmf: a Knowledge-compliant Framework For Schema and Entity Matching with Fine-tuning-free Llms, by Yongqin Xu et al.
Summary of End-to-end Planner Training For Language Modeling, by Nathan Cornille et al.
Summary of Data-driven Gyroscope Calibration, by Zeev Yampolsky and Itzik Klein
Summary of Ming: a Functional Approach to Learning Molecular Generative Models, by Van Khoa Nguyen et al.
Summary of Is Complex Query Answering Really Complex?, by Cosimo Gregucci et al.
Summary of Investigating Sensitive Directions in Gpt-2: An Improved Baseline and Comparative Analysis Of Saes, by Daniel J. Lee and Stefan Heimersheim
Summary of One Step Diffusion Via Shortcut Models, by Kevin Frans et al.
Summary of On the Role Of Activation Functions in Eeg-to-text Decoder, by Zenon Lamprou et al.
Summary of Cocoon: Robust Multi-modal Perception with Uncertainty-aware Sensor Fusion, by Minkyoung Cho et al.
Summary of Expand and Compress: Exploring Tuning Principles For Continual Spatio-temporal Graph Forecasting, by Wei Chen et al.
Summary of Personalized Prediction Models For Changes in Knee Pain Among Patients with Osteoarthritis Participating in Supervised Exercise and Education, by M. Rafiei et al.
Summary of Self-supervised Learning Of Disentangled Representations For Multivariate Time-series, by Ching Chang et al.
Summary of The Bayesian Confidence (bacon) Estimator For Deep Neural Networks, by Patrick D. Kee et al.
Summary of Towards Graph Foundation Models: the Perspective Of Zero-shot Reasoning on Knowledge Graphs, by Kai Wang et al.
Summary of Weak-to-strong Generalization Beyond Accuracy: a Pilot Study in Safety, Toxicity, and Legal Reasoning, by Ruimeng Ye et al.
Summary of Low-rank Adversarial Pgd Attack, by Dayana Savostianova et al.
Summary of Exploring Model Kinship For Merging Large Language Models, by Yedi Hu et al.
Summary of An Exact Finite-dimensional Explicit Feature Map For Kernel Functions, by Kamaledin Ghiasi-shirazi et al.
Summary of Explainable Moral Values: a Neuro-symbolic Approach to Value Classification, by Nicolas Lazzari et al.
Summary of Constrained Posterior Sampling: Time Series Generation with Hard Constraints, by Sai Shankar Narasimhan et al.
Summary of A Numerical Study Of Chaotic Dynamics Of K-s Equation with Fnos, by Surbhi Khetrapal and Jaswin Kasi
Summary of Conjunction Subspaces Test For Conformal and Selective Classification, by Zengyou He and Zerun Li and Junjie Dong and Xinying Liu and Mudi Jiang and Lianyu Hu
Summary of Consistency Calibration: Improving Uncertainty Calibration Via Consistency Among Perturbed Neighbors, by Linwei Tao et al.
Summary of Dat: Improving Adversarial Robustness Via Generative Amplitude Mix-up in Frequency Domain, by Fengpeng Li et al.
Summary of Revisited Large Language Model For Time Series Analysis Through Modality Alignment, by Liangwei Nathan Zheng et al.
Summary of Tpfl: a Trustworthy Personalized Federated Learning Framework Via Subjective Logic, by Jinqian Chen et al.
Summary of Max: Masked Autoencoder For X-ray Fluorescence in Geological Investigation, by An-sheng Lee et al.
Summary of Federated Temporal Graph Clustering, by Zihao Zhou et al.
Summary of Towards Neural Scaling Laws For Time Series Foundation Models, by Qingren Yao et al.
Summary of Tracking Universal Features Through Fine-tuning and Model Merging, by Niels Horn and Desmond Elliott
Summary of Perseus: Leveraging Common Data Patterns with Curriculum Learning For More Robust Graph Neural Networks, by Kaiwen Xia et al.
Summary of Conlux: Concept-based Local Unified Explanations, by Junhao Liu et al.
Summary of Loss Landscape Characterization Of Neural Networks Without Over-parametrization, by Rustem Islamov et al.
Summary of Training Neural Samplers with Reverse Diffusive Kl Divergence, by Jiajun He et al.
Summary of Sharpness-aware Black-box Optimization, by Feiyang Ye et al.
Summary of Helm: Hierarchical Encoding For Mrna Language Modeling, by Mehdi Yazdani-jahromi and Mangal Prakash and Tommaso Mansi and Artem Moskalev and Rui Liao
Summary of Challenges, Methods, Data — a Survey Of Machine Learning in Water Distribution Networks, by Valerie Vaquet et al.