Paper List

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Summary of Recent Advances Of Multimodal Continual Learning: a Comprehensive Survey, by Dianzhi Yu et al.
Summary of Bsg4bot: Efficient Bot Detection Based on Biased Heterogeneous Subgraphs, by Hao Miao et al.
Summary of Over-the-air Federated Learning in Cell-free Mimo with Long-term Power Constraint, by Yifan Wang et al.
Summary of Beyond Fvd: Enhanced Evaluation Metrics For Video Generation Quality, by Ge Ya Luo et al.
Summary of Density Estimation with Llms: a Geometric Investigation Of In-context Learning Trajectories, by Toni J.b. Liu et al.
Summary of Mars: Multi-view Attention Regularizations For Patch-based Feature Recognition Of Space Terrain, by Timothy Chase Jr et al.
Summary of Understanding Warmup-stable-decay Learning Rates: a River Valley Loss Landscape Perspective, by Kaiyue Wen et al.
Summary of Cookbook: a Framework For Improving Llm Generative Abilities Via Programmatic Data Generating Templates, by Avanika Narayan et al.
Summary of Precise Model Benchmarking with Only a Few Observations, by Riccardo Fogliato et al.
Summary of Etgl-ddpg: a Deep Deterministic Policy Gradient Algorithm For Sparse Reward Continuous Control, by Ehsan Futuhi et al.
Summary of Gsm-symbolic: Understanding the Limitations Of Mathematical Reasoning in Large Language Models, by Iman Mirzadeh et al.
Summary of Symmetrylens: a New Candidate Paradigm For Unsupervised Symmetry Learning Via Locality and Equivariance, by Onur Efe et al.
Summary of Simo Loss: Anchor-free Contrastive Loss For Fine-grained Supervised Contrastive Learning, by Taha Bouhsine et al.
Summary of Sftmix: Elevating Language Model Instruction Tuning with Mixup Recipe, by Yuxin Xiao et al.
Summary of Causal Micro-narratives, by Mourad Heddaya et al.
Summary of Seppo: Semi-policy Preference Optimization For Diffusion Alignment, by Daoan Zhang et al.
Summary of Differential Transformer, by Tianzhu Ye et al.
Summary of Glee: a Unified Framework and Benchmark For Language-based Economic Environments, by Eilam Shapira et al.
Summary of Regression Conformal Prediction Under Bias, by Matt Y. Cheung et al.
Summary of Prefixquant: Eliminating Outliers by Prefixed Tokens For Large Language Models Quantization, By Mengzhao Chen et al.
Summary of Data Advisor: Dynamic Data Curation For Safety Alignment Of Large Language Models, by Fei Wang et al.
Summary of Mars: a Neurosymbolic Approach For Interpretable Drug Discovery, by Lauren Nicole Delong et al.
Summary of How Do Large Language Models Understand Graph Patterns? a Benchmark For Graph Pattern Comprehension, by Xinnan Dai et al.
Summary of Collaboration! Towards Robust Neural Methods For Routing Problems, by Jianan Zhou et al.
Summary of T-jepa: Augmentation-free Self-supervised Learning For Tabular Data, by Hugo Thimonier et al.
Summary of Dept: Decoupled Embeddings For Pre-training Language Models, by Alex Iacob et al.
Summary of Active Fine-tuning Of Generalist Policies, by Marco Bagatella et al.
Summary of Select: a Large-scale Benchmark Of Data Curation Strategies For Image Classification, by Benjamin Feuer et al.
Summary of Systematic Literature Review Of Vision-based Approaches to Outdoor Livestock Monitoring with Lessons From Wildlife Studies, by Stacey D. Scott et al.
Summary of Fresh: Frequency Shifting For Accelerated Neural Representation Learning, by Adam Kania et al.
Summary of Control-oriented Clustering Of Visual Latent Representation, by Han Qi et al.
Summary of Function Gradient Approximation with Random Shallow Relu Networks with Control Applications, by Andrew Lamperski and Siddharth Salapaka
Summary of Tidaldecode: Fast and Accurate Llm Decoding with Position Persistent Sparse Attention, by Lijie Yang et al.
Summary of Compression Via Pre-trained Transformers: a Study on Byte-level Multimodal Data, by David Heurtel-depeiges et al.
Summary of Scienceagentbench: Toward Rigorous Assessment Of Language Agents For Data-driven Scientific Discovery, by Ziru Chen et al.
Summary of Hyperinf: Unleashing the Hyperpower Of the Schulz’s Method For Data Influence Estimation, by Xinyu Zhou et al.
Summary of Dreamsat: Towards a General 3d Model For Novel View Synthesis Of Space Objects, by Nidhi Mathihalli et al.
Summary of Sparsepo: Controlling Preference Alignment Of Llms Via Sparse Token Masks, by Fenia Christopoulou et al.
Summary of Assouad, Fano, and Le Cam with Interaction: a Unifying Lower Bound Framework and Characterization For Bandit Learnability, by Fan Chen et al.
Summary of Tuning-free Bilevel Optimization: New Algorithms and Convergence Analysis, by Yifan Yang et al.
Summary of Hero: Human-feedback Efficient Reinforcement Learning For Online Diffusion Model Finetuning, by Ayano Hiranaka et al.
Summary of Lotos: Layer-wise Orthogonalization For Training Robust Ensembles, by Ali Ebrahimpour-boroojeny et al.
Summary of A Simulation-free Deep Learning Approach to Stochastic Optimal Control, by Mengjian Hua et al.
Summary of Double Oracle Neural Architecture Search For Game Theoretic Deep Learning Models, by Aye Phyu Phyu Aung et al.
Summary of Granular Ball Twin Support Vector Machine, by A. Quadir et al.
Summary of Improving Image Clustering with Artifacts Attenuation Via Inference-time Attention Engineering, by Kazumoto Nakamura et al.
Summary of Building Damage Assessment in Conflict Zones: a Deep Learning Approach Using Geospatial Sub-meter Resolution Data, by Matteo Risso et al.
Summary of Timer-xl: Long-context Transformers For Unified Time Series Forecasting, by Yong Liu et al.
Summary of Learning Interpretable Hierarchical Dynamical Systems Models From Time Series Data, by Manuel Brenner et al.
Summary of Fedbip: Heterogeneous One-shot Federated Learning with Personalized Latent Diffusion Models, by Haokun Chen et al.
Summary of Taming Gradient Oversmoothing and Expansion in Graph Neural Networks, by Moonjeong Park et al.
Summary of Strong Model Collapse, by Elvis Dohmatob et al.
Summary of Multimodal Fusion Strategies For Mapping Biophysical Landscape Features, by Lucia Gordon and Nico Lang and Catherine Ressijac and Andrew Davies
Summary of Timecnn: Refining Cross-variable Interaction on Time Point For Time Series Forecasting, by Ao Hu et al.
Summary of Improving the Sampling Strategy in Kernelshap, by Lars Henry Berge Olsen and Martin Jullum
Summary of Mastering Chinese Chess Ai (xiangqi) Without Search, by Yu Chen et al.
Summary of On the Optimization and Generalization Of Two-layer Transformers with Sign Gradient Descent, by Bingrui Li et al.
Summary of Wide Neural Networks Trained with Weight Decay Provably Exhibit Neural Collapse, by Arthur Jacot et al.
Summary of Next State Prediction Gives Rise to Entangled, Yet Compositional Representations Of Objects, by Tankred Saanum et al.
Summary of Defense-as-a-service: Black-box Shielding Against Backdoored Graph Models, by Xiao Yang et al.
Summary of Detecting and Approximating Redundant Computational Blocks in Neural Networks, by Irene Cannistraci et al.
Summary of Failure-proof Non-contrastive Self-supervised Learning, by Emanuele Sansone et al.
Summary of Efficient Model-based Reinforcement Learning Through Optimistic Thompson Sampling, by Jasmine Bayrooti et al.
Summary of Contrastive Learning to Improve Retrieval For Real-world Fact Checking, by Aniruddh Sriram et al.
Summary of Adversarial Multi-agent Evaluation Of Large Language Models Through Iterative Debates, by Chaithanya Bandi and Abir Harrasse
Summary of Federated Learning Nodes Can Reconstruct Peers’ Image Data, by Ethan Wilson et al.
Summary of On the Adversarial Risk Of Test Time Adaptation: An Investigation Into Realistic Test-time Data Poisoning, by Yongyi Su and Yushu Li and Nanqing Liu and Kui Jia and Xulei Yang and Chuan-sheng Foo and Xun Xu
Summary of Towards Measuring Goal-directedness in Ai Systems, by Dylan Xu et al.
Summary of Deeper Insights Without Updates: the Power Of In-context Learning Over Fine-tuning, by Qingyu Yin et al.
Summary of A Clifford Algebraic Approach to E(n)-equivariant High-order Graph Neural Networks, by Viet-hoang Tran et al.
Summary of Learning How Hard to Think: Input-adaptive Allocation Of Lm Computation, by Mehul Damani et al.
Summary of Neural Fourier Modelling: a Highly Compact Approach to Time-series Analysis, by Minjung Kim et al.
Summary of Tight Stability, Convergence, and Robustness Bounds For Predictive Coding Networks, by Ankur Mali et al.
Summary of Rule-based Data Selection For Large Language Models, by Xiaomin Li et al.
Summary of Acdc: Autoregressive Coherent Multimodal Generation Using Diffusion Correction, by Hyungjin Chung et al.
Summary of A Strategy For Label Alignment in Deep Neural Networks, by Xuanrui Zeng
Summary of Tldr: Token-level Detective Reward Model For Large Vision Language Models, by Deqing Fu et al.
Summary of Protonam: Prototypical Neural Additive Models For Interpretable Deep Tabular Learning, by Guangzhi Xiong et al.
Summary of Tablerag: Million-token Table Understanding with Language Models, by Si-an Chen et al.
Summary of Evaluating the Generalization Ability Of Spatiotemporal Model in Urban Scenario, by Hongjun Wang et al.
Summary of Stochastic Runge-kutta Methods: Provable Acceleration Of Diffusion Models, by Yuchen Wu et al.
Summary of Improver: Agent-based Automated Proof Optimization, by Riyaz Ahuja et al.
Summary of Fast Training Of Sinusoidal Neural Fields Via Scaling Initialization, by Taesun Yeom et al.
Summary of Adjusting Pretrained Backbones For Performativity, by Berker Demirel et al.
Summary of Leveraging Large Language Models For Suicide Detection on Social Media with Limited Labels, by Vy Nguyen et al.
Summary of Look Around and Find Out: Ood Detection with Relative Angles, by Berker Demirel et al.
Summary of Dynamic Post-hoc Neural Ensemblers, by Sebastian Pineda Arango et al.
Summary of On Evaluating Llms’ Capabilities As Functional Approximators: a Bayesian Perspective, by Shoaib Ahmed Siddiqui et al.
Summary of Pullback Flow Matching on Data Manifolds, by Friso De Kruiff et al.
Summary of Bisimulation Metric For Model Predictive Control, by Yutaka Shimizu and Masayoshi Tomizuka
Summary of Gamformer: In-context Learning For Generalized Additive Models, by Andreas Mueller et al.
Summary of Watermarking Decision Tree Ensembles, by Stefano Calzavara et al.
Summary of Ensemw2s: Can An Ensemble Of Llms Be Leveraged to Obtain a Stronger Llm?, by Aakriti Agrawal et al.
Summary of Enhancing 3d Human Pose Estimation Amidst Severe Occlusion with Dual Transformer Fusion, by Mehwish Ghafoor et al.
Summary of Robustness Reprogramming For Representation Learning, by Zhichao Hou et al.
Summary of Upsample or Upweight? Balanced Training on Heavily Imbalanced Datasets, by Tianjian Li et al.
Summary of Hammer: Robust Function-calling For On-device Language Models Via Function Masking, by Qiqiang Lin et al.
Summary of Regressing the Relative Future: Efficient Policy Optimization For Multi-turn Rlhf, by Zhaolin Gao et al.
Summary of Provable Weak-to-strong Generalization Via Benign Overfitting, by David X. Wu et al.
Summary of Deepltl: Learning to Efficiently Satisfy Complex Ltl Specifications, by Mathias Jackermeier et al.