Paper List

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Summary of Linear Bellman Completeness Suffices For Efficient Online Reinforcement Learning with Few Actions, by Noah Golowich and Ankur Moitra
Summary of Diffusion Generative Modelling For Divide-and-conquer Mcmc, by C. Trojan et al.
Summary of Blob: Bayesian Low-rank Adaptation by Backpropagation For Large Language Models, By Yibin Wang et al.
Summary of Is Efficient Pac Learning Possible with An Oracle That Responds ‘yes’ or ‘no’?, by Constantinos Daskalakis and Noah Golowich
Summary of Deep-reinforcement-learning-based Aoi-aware Resource Allocation For Ris-aided Iov Networks, by Kangwei Qi et al.
Summary of Spot-mamba: Learning Long-range Dependency on Spatio-temporal Graphs with Selective State Spaces, by Jinhyeok Choi et al.
Summary of Excp: Extreme Llm Checkpoint Compression Via Weight-momentum Joint Shrinking, by Wenshuo Li et al.
Summary of Mint-1t: Scaling Open-source Multimodal Data by 10x: a Multimodal Dataset with One Trillion Tokens, By Anas Awadalla et al.
Summary of Statistical Learning Of Distributionally Robust Stochastic Control in Continuous State Spaces, by Shengbo Wang et al.
Summary of Enhancing and Assessing Instruction-following with Fine-grained Instruction Variants, by Jiuding Yang et al.
Summary of Management Decisions in Manufacturing Using Causal Machine Learning — to Rework, or Not to Rework?, by Philipp Schwarz et al.
Summary of Federated Active Learning Framework For Efficient Annotation Strategy in Skin-lesion Classification, by Zhipeng Deng et al.
Summary of Improved Algorithms For Contextual Dynamic Pricing, by Matilde Tullii et al.
Summary of Fairer Preferences Elicit Improved Human-aligned Large Language Model Judgments, by Han Zhou et al.
Summary of Cm2-net: Continual Cross-modal Mapping Network For Driver Action Recognition, by Ruoyu Wang et al.
Summary of They’re All Doctors: Synthesizing Diverse Counterfactuals to Mitigate Associative Bias, by Salma Abdel Magid et al.
Summary of Sefraud: Graph-based Self-explainable Fraud Detection Via Interpretative Mask Learning, by Kaidi Li et al.
Summary of P-ta: Using Proximal Policy Optimization to Enhance Tabular Data Augmentation Via Large Language Models, by Shuo Yang et al.
Summary of Distpred: a Distribution-free Probabilistic Inference Method For Regression and Forecasting, by Daojun Liang et al.
Summary of Are Small Language Models Ready to Compete with Large Language Models For Practical Applications?, by Neelabh Sinha et al.
Summary of Cross-domain Open-world Discovery, by Shuo Wen and Maria Brbic
Summary of Analysing the Behaviour Of Tree-based Neural Networks in Regression Tasks, by Peter Samoaa et al.
Summary of Calibrating Where It Matters: Constrained Temperature Scaling, by Stephen Mckenna and Jacob Carse
Summary of Adversaries with Incentives: a Strategic Alternative to Adversarial Robustness, by Maayan Ehrenberg et al.
Summary of Leveraging Foundation Models For Multi-modal Federated Learning with Incomplete Modality, by Liwei Che et al.
Summary of Advancing Solar Flare Prediction Using Deep Learning with Active Region Patches, by Chetraj Pandey et al.
Summary of Investigating Annotator Bias in Large Language Models For Hate Speech Detection, by Amit Das et al.
Summary of Model Adaptation For Time Constrained Embodied Control, by Jaehyun Song et al.
Summary of How Neural Networks Learn the Support Is An Implicit Regularization Effect Of Sgd, by Pierfrancesco Beneventano et al.
Summary of Reprompt: Planning by Automatic Prompt Engineering For Large Language Models Agents, By Weizhe Chen et al.
Summary of Active Search For Bifurcations, by Yorgos M. Psarellis et al.
Summary of Few-shot Recognition Via Stage-wise Retrieval-augmented Finetuning, by Tian Liu et al.
Summary of Distributed Stochastic Gradient Descent with Staleness: a Stochastic Delay Differential Equation Based Framework, by Siyuan Yu et al.
Summary of Watch Every Step! Llm Agent Learning Via Iterative Step-level Process Refinement, by Weimin Xiong et al.
Summary of Sugarcrepe++ Dataset: Vision-language Model Sensitivity to Semantic and Lexical Alterations, by Sri Harsha Dumpala et al.
Summary of Learning Iterative Reasoning Through Energy Diffusion, by Yilun Du et al.
Summary of Save It All: Enabling Full Parameter Tuning For Federated Large Language Models Via Cycle Block Gradient Descent, by Lin Wang et al.
Summary of Avatar: Optimizing Llm Agents For Tool Usage Via Contrastive Reasoning, by Shirley Wu et al.
Summary of Retraining with Predicted Hard Labels Provably Increases Model Accuracy, by Rudrajit Das et al.
Summary of Multimodal Needle in a Haystack: Benchmarking Long-context Capability Of Multimodal Large Language Models, by Hengyi Wang et al.
Summary of Qtip: Quantization with Trellises and Incoherence Processing, by Albert Tseng et al.
Summary of Probing the Decision Boundaries Of In-context Learning in Large Language Models, by Siyan Zhao et al.
Summary of The Benefits Of Power Regularization in Cooperative Reinforcement Learning, by Michelle Li and Michael Dennis
Summary of Relational Learning in Pre-trained Models: a Theory From Hypergraph Recovery Perspective, by Yang Chen et al.
Summary of New Solutions on Llm Acceleration, Optimization, and Application, by Yingbing Huang et al.
Summary of Multi-llm Qa with Embodied Exploration, by Bhrij Patel et al.
Summary of Bayesian Intervention Optimization For Causal Discovery, by Yuxuan Wang et al.
Summary of Investigating Video Reasoning Capability Of Large Language Models with Tropes in Movies, by Hung-ting Su et al.
Summary of Understanding Understanding: a Pragmatic Framework Motivated by Large Language Models, By Kevin Leyton-brown and Yoav Shoham
Summary of Effective Generative Ai: the Human-algorithm Centaur, by Soroush Saghafian et al.
Summary of Towards Efficient Target-level Machine Unlearning Based on Essential Graph, by Heng Xu et al.
Summary of Incorporating Uncertainty Quantification Into Travel Mode Choice Modeling: a Bayesian Neural Network (bnn) Approach and An Uncertainty-guided Active Survey Framework, by Shuwen Zheng et al.
Summary of Costa: Code-switched Speech Translation Using Aligned Speech-text Interleaving, by Bhavani Shankar et al.
Summary of Promoting Data and Model Privacy in Federated Learning Through Quantized Lora, by Jianhao Zhu et al.
Summary of Weshap: Weak Supervision Source Evaluation with Shapley Values, by Naiqing Guan and Nick Koudas
Summary of Concept-skill Transferability-based Data Selection For Large Vision-language Models, by Jaewoo Lee et al.
Summary of Data Shapley in One Training Run, by Jiachen T. Wang et al.
Summary of Latent Communication in Artificial Neural Networks, by Luca Moschella
Summary of Universal Cross-lingual Text Classification, by Riya Savant et al.
Summary of Optimized Speculative Sampling For Gpu Hardware Accelerators, by Dominik Wagner et al.
Summary of Curating Stopwords in Marathi: a Tf-idf Approach For Improved Text Analysis and Information Retrieval, by Rohan Chavan et al.
Summary of Evaluating the Performance Of Large Language Models Via Debates, by Behrad Moniri et al.
Summary of Kolmogorov Arnold Informed Neural Network: a Physics-informed Deep Learning Framework For Solving Forward and Inverse Problems Based on Kolmogorov Arnold Networks, by Yizheng Wang et al.
Summary of Guaranteed Sampling Flexibility For Low-tubal-rank Tensor Completion, by Bowen Su et al.
Summary of Improving Reward-conditioned Policies For Multi-armed Bandits Using Normalized Weight Functions, by Kai Xu et al.
Summary of Bayesian Networks and Machine Learning For Covid-19 Severity Explanation and Demographic Symptom Classification, by Oluwaseun T. Ajayi et al.
Summary of On the Effectiveness Of Supervision in Asymmetric Non-contrastive Learning, by Jeongheon Oh et al.
Summary of Improving Probabilistic Diffusion Models with Optimal Diagonal Covariance Matching, by Zijing Ou et al.
Summary of Cbgbench: Fill in the Blank Of Protein-molecule Complex Binding Graph, by Haitao Lin et al.
Summary of Exposing the Achilles’ Heel: Evaluating Llms Ability to Handle Mistakes in Mathematical Reasoning, by Joykirat Singh et al.
Summary of Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions, by Laiqiao Qin et al.
Summary of Enriching the Machine Learning Workloads in Bigbench, by Matthias Polag et al.
Summary of Geometric-informed Gflownets For Structure-based Drug Design, by Grayson Lee et al.
Summary of Global-local Graph Neural Networks For Node-classification, by Moshe Eliasof et al.
Summary of Graph Neural Reaction Diffusion Models, by Moshe Eliasof et al.
Summary of Deep Neural Networks with Relu, Leaky Relu, and Softplus Activation Provably Overcome the Curse Of Dimensionality For Space-time Solutions Of Semilinear Partial Differential Equations, by Julia Ackermann et al.
Summary of Linkage on Security, Privacy and Fairness in Federated Learning: New Balances and New Perspectives, by Linlin Wang et al.
Summary of Distilling Opinions at Scale: Incremental Opinion Summarization Using Xl-opsumm, by Sri Raghava Muddu et al.
Summary of Rwku: Benchmarking Real-world Knowledge Unlearning For Large Language Models, by Zhuoran Jin et al.
Summary of Velociti: Can Video-language Models Bind Semantic Concepts Through Time?, by Darshana Saravanan et al.
Summary of Dipper: Direct Preference Optimization to Accelerate Primitive-enabled Hierarchical Reinforcement Learning, by Utsav Singh et al.
Summary of Benchmarking Label Noise in Instance Segmentation: Spatial Noise Matters, by Eden Grad et al.
Summary of Breaking the Attention Bottleneck, by Kalle Hilsenbek
Summary of First-order Manifold Data Augmentation For Regression Learning, by Ilya Kaufman and Omri Azencot
Summary of Last-iterate Convergence Separation Between Extra-gradient and Optimism in Constrained Periodic Games, by Yi Feng et al.
Summary of Hifgl: a Hierarchical Framework For Cross-silo Cross-device Federated Graph Learning, by Zhuoning Guo et al.
Summary of The Implicit Bias Of Adam on Separable Data, by Chenyang Zhang et al.
Summary of A Gpu-accelerated Large-scale Simulator For Transportation System Optimization Benchmarking, by Jun Zhang et al.
Summary of Unizero: Generalized and Efficient Planning with Scalable Latent World Models, by Yuan Pu and Yazhe Niu and Zhenjie Yang and Jiyuan Ren and Hongsheng Li and Yu Liu
Summary of Color-filter: Conditional Loss Reduction Filtering For Targeted Language Model Pre-training, by David Brandfonbrener et al.
Summary of Scale Equivariant Graph Metanetworks, by Ioannis Kalogeropoulos et al.
Summary of Graph Neural Thompson Sampling, by Shuang Wu et al.
Summary of Calibrating Neural Networks’ Parameters Through Optimal Contraction in a Prediction Problem, by Valdes Gonzalo
Summary of Genmm: Geometrically and Temporally Consistent Multimodal Data Generation For Video and Lidar, by Bharat Singh et al.
Summary of Stacking For Probabilistic Short-term Load Forecasting, by Grzegorz Dudek
Summary of Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights, by Zhikai Chen et al.
Summary of A Comprehensive Survey Of Foundation Models in Medicine, by Wasif Khan et al.
Summary of Dpcore: Dynamic Prompt Coreset For Continual Test-time Adaptation, by Yunbei Zhang et al.
Summary of Adaptive Experimentation When You Can’t Experiment, by Yao Zhao et al.
Summary of Occam’s Razor For Self Supervised Learning: What Is Sufficient to Learn Good Representations?, by Mark Ibrahim et al.