Paper List

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Summary of Identifying Perturbation Targets Through Causal Differential Networks, by Menghua Wu et al.
Summary of Lightning Uq Box: a Comprehensive Framework For Uncertainty Quantification in Deep Learning, by Nils Lehmann et al.
Summary of Graphcroc: Cross-correlation Autoencoder For Graph Structural Reconstruction, by Shijin Duan et al.
Summary of Ripplecot: Amplifying Ripple Effect Of Knowledge Editing in Language Models Via Chain-of-thought In-context Learning, by Zihao Zhao et al.
Summary of On Unsupervised Prompt Learning For Classification with Black-box Language Models, by Zhen-yu Zhang et al.
Summary of Aime: Ai System Optimization Via Multiple Llm Evaluators, by Bhrij Patel et al.
Summary of Arb-llm: Alternating Refined Binarizations For Large Language Models, by Zhiteng Li et al.
Summary of Remaining Useful Life Prediction: a Study on Multidimensional Industrial Signal Processing and Efficient Transfer Learning Based on Large Language Models, by Yan Chen et al.
Summary of In-context Learning in Presence Of Spurious Correlations, by Hrayr Harutyunyan et al.
Summary of Can Llms Generate Diverse Molecules? Towards Alignment with Structural Diversity, by Hyosoon Jang et al.
Summary of Machine Learning For Asymptomatic Ratoon Stunting Disease Detection with Freely Available Satellite Based Multispectral Imaging, by Ethan Kane Waters et al.
Summary of Melodi: Exploring Memory Compression For Long Contexts, by Yinpeng Chen et al.
Summary of Wave: Weighted Autoregressive Varying Gate For Time Series Forecasting, by Jiecheng Lu et al.
Summary of Mathematical Formalism For Memory Compression in Selective State Space Models, by Siddhanth Bhat
Summary of Redefining Temporal Modeling in Video Diffusion: the Vectorized Timestep Approach, by Yaofang Liu et al.
Summary of Rapid Optimization in High Dimensional Space by Deep Kernel Learning Augmented Genetic Algorithms, By Mani Valleti et al.
Summary of Exaq: Exponent Aware Quantization For Llms Acceleration, by Moran Shkolnik et al.
Summary of Learning Semantic Structure Through First-order-logic Translation, by Akshay Chaturvedi et al.
Summary of Nested Deep Learning Model Towards a Foundation Model For Brain Signal Data, by Fangyi Wei et al.
Summary of Cudle: Learning Under Label Scarcity to Detect Cannabis Use in Uncontrolled Environments, by Reza Rahimi Azghan et al.
Summary of Learning to Steer with Brownian Noise, by Stefan Ankirchner et al.
Summary of Tadashi: Enabling Ai-based Automated Code Generation with Guaranteed Correctness, by Emil Vatai et al.
Summary of How Much Can We Forget About Data Contamination?, by Sebastian Bordt et al.
Summary of Geometry Is All You Need: a Unified Taxonomy Of Matrix and Tensor Factorization For Compression Of Generative Language Models, by Mingxue Xu et al.
Summary of Fedpews: Personalized Warmup Via Subnetworks For Enhanced Heterogeneous Federated Learning, by Nurbek Tastan et al.
Summary of Instance-level Difficulty: a Missing Perspective in Machine Unlearning, by Hammad Rizwan et al.
Summary of Scalable Frame-based Construction Of Sociocultural Normbases For Socially-aware Dialogues, by Shilin Qu et al.
Summary of Learning Structured Representations by Embedding Class Hierarchy with Fast Optimal Transport, By Siqi Zeng et al.
Summary of Permissive Information-flow Analysis For Large Language Models, by Shoaib Ahmed Siddiqui et al.
Summary of Towards An Improved Metric For Evaluating Disentangled Representations, by Sahib Julka et al.
Summary of Compute or Load Kv Cache? Why Not Both?, by Shuowei Jin et al.
Summary of Fedcert: Federated Accuracy Certification, by Minh Hieu Nguyen et al.
Summary of Fedmac: Tackling Partial-modality Missing in Federated Learning with Cross-modal Aggregation and Contrastive Regularization, by Manh Duong Nguyen et al.
Summary of Metaood: Automatic Selection Of Ood Detection Models, by Yuehan Qin et al.
Summary of Optimization Proxies Using Limited Labeled Data and Training Time — a Semi-supervised Bayesian Neural Network Approach, by Parikshit Pareek et al.
Summary of Forest Proximities For Time Series, by Ben Shaw et al.
Summary of Uncomp: Uncertainty-aware Long-context Compressor For Efficient Large Language Model Inference, by Jing Xiong et al.
Summary of Horizon-length Prediction: Advancing Fill-in-the-middle Capabilities For Code Generation with Lookahead Planning, by Yifeng Ding et al.
Summary of Mamba in Vision: a Comprehensive Survey Of Techniques and Applications, by Md Maklachur Rahman et al.
Summary of A Training-free Conditional Diffusion Model For Learning Stochastic Dynamical Systems, by Yanfang Liu et al.
Summary of Lorc: Low-rank Compression For Llms Kv Cache with a Progressive Compression Strategy, by Rongzhi Zhang et al.
Summary of Procbench: Benchmark For Multi-step Reasoning and Following Procedure, by Ippei Fujisawa et al.
Summary of Spatial-aware Decision-making with Ring Attractors in Reinforcement Learning Systems, by Marcos Negre Saura et al.
Summary of Automl-agent: a Multi-agent Llm Framework For Full-pipeline Automl, by Patara Trirat et al.
Summary of F-fidelity: a Robust Framework For Faithfulness Evaluation Of Explainable Ai, by Xu Zheng et al.
Summary of Learning Optimal Control and Dynamical Structure Of Global Trajectory Search Problems with Diffusion Models, by Jannik Graebner et al.
Summary of An Explainable Approach to Detect Case Law on Housing and Eviction Issues Within the Hudoc Database, by Mohammad Mohammadi et al.
Summary of Optimization, Isoperimetric Inequalities, and Sampling Via Lyapunov Potentials, by August Y. Chen et al.
Summary of Differentiation and Specialization Of Attention Heads Via the Refined Local Learning Coefficient, by George Wang et al.
Summary of Dectrain: Deciding When to Train a Monocular Depth Dnn Online, by Zih-sing Fu et al.
Summary of Finite-sample Analysis Of the Monte Carlo Exploring Starts Algorithm For Reinforcement Learning, by Suei-wen Chen et al.
Summary of Towards Universal Certified Robustness with Multi-norm Training, by Enyi Jiang et al.
Summary of Q-scale: Quantum Computing-based Sensor Calibration For Advanced Learning and Efficiency, by Lorenzo Bergadano et al.
Summary of Mmp: Towards Robust Multi-modal Learning with Masked Modality Projection, by Niki Nezakati et al.
Summary of Learning a Fast Mixing Exogenous Block Mdp Using a Single Trajectory, by Alexander Levine et al.
Summary of Formation Of Representations in Neural Networks, by Liu Ziyin et al.
Summary of On Logical Extrapolation For Mazes with Recurrent and Implicit Networks, by Brandon Knutson and Amandin Chyba Rabeendran and Michael Ivanitskiy and Jordan Pettyjohn and Cecilia Diniz-behn and Samy Wu Fung and Daniel Mckenzie
Summary of Characterizing Context Influence and Hallucination in Summarization, by James Flemings et al.
Summary of Mlp-kan: Unifying Deep Representation and Function Learning, by Yunhong He et al.
Summary of Flow Matching with Gaussian Process Priors For Probabilistic Time Series Forecasting, by Marcel Kollovieh et al.
Summary of Disentangling Textual and Acoustic Features Of Neural Speech Representations, by Hosein Mohebbi et al.
Summary of Cpfd: Confidence-aware Privileged Feature Distillation For Short Video Classification, by Jinghao Shi et al.
Summary of Revealing the Unseen: Guiding Personalized Diffusion Models to Expose Training Data, by Xiaoyu Wu et al.
Summary of Vinoground: Scrutinizing Lmms Over Dense Temporal Reasoning with Short Videos, by Jianrui Zhang et al.
Summary of Guess What I Think: Streamlined Eeg-to-image Generation with Latent Diffusion Models, by Eleonora Lopez et al.
Summary of Flash-splat: 3d Reflection Removal with Flash Cues and Gaussian Splats, by Mingyang Xie et al.
Summary of Stateact: State Tracking and Reasoning For Acting and Planning with Large Language Models, by Nikolai Rozanov and Marek Rei
Summary of Sac-kg: Exploiting Large Language Models As Skilled Automatic Constructors For Domain Knowledge Graphs, by Hanzhu Chen et al.
Summary of Heuristics and Biases in Ai Decision-making: Implications For Responsible Agi, by Payam Saeedi and Mahsa Goodarzi and M Abdullah Canbaz
Summary of Dana: Domain-aware Neurosymbolic Agents For Consistency and Accuracy, by Vinh Luong et al.
Summary of Llms May Not Be Human-level Players, but They Can Be Testers: Measuring Game Difficulty with Llm Agents, by Chang Xiao et al.
Summary of Skill Issues: An Analysis Of Cs:go Skill Rating Systems, by Mikel Bober-irizar et al.
Summary of Asymmetry Of the Relative Entropy in the Regularization Of Empirical Risk Minimization, by Francisco Daunas et al.
Summary of Overcoming Representation Bias in Fairness-aware Data Repair Using Optimal Transport, by Abigail Langbridge and Anthony Quinn and Robert Shorten
Summary of Candoit: Causal Discovery with Observational and Interventional Data From Time-series, by Luca Castri et al.
Summary of Neural Ddes with Learnable Delays For Partially Observed Dynamical Systems, by Thibault Monsel et al.
Summary of The Role Of Deductive and Inductive Reasoning in Large Language Models, by Chengkun Cai et al.
Summary of Towards Layer-wise Personalized Federated Learning: Adaptive Layer Disentanglement Via Conflicting Gradients, by Minh Duong Nguyen et al.
Summary of Fine-tuning Language Models with Differential Privacy Through Adaptive Noise Allocation, by Xianzhi Li et al.
Summary of Comparison Of Autoencoder Encodings For Ecg Representation in Downstream Prediction Tasks, by Christopher J. Harvey et al.
Summary of On Expert Estimation in Hierarchical Mixture Of Experts: Beyond Softmax Gating Functions, by Huy Nguyen and Xing Han and Carl Harris and Suchi Saria and Nhat Ho
Summary of Symmetricdiffusers: Learning Discrete Diffusion on Finite Symmetric Groups, by Yongxing Zhang et al.
Summary of Llmco2: Advancing Accurate Carbon Footprint Prediction For Llm Inferences, by Zhenxiao Fu et al.
Summary of Selective Attention Improves Transformer, by Yaniv Leviathan et al.
Summary of Nets: a Non-equilibrium Transport Sampler, by Michael S. Albergo and Eric Vanden-eijnden
Summary of Synthformer: Equivariant Pharmacophore-based Generation Of Synthesizable Molecules For Ligand-based Drug Design, by Zygimantas Jocys et al.
Summary of Adaptive Inference-time Compute: Llms Can Predict If They Can Do Better, Even Mid-generation, by Rohin Manvi et al.
Summary of Large Language Models As Markov Chains, by Oussama Zekri et al.
Summary of Ood-chameleon: Is Algorithm Selection For Ood Generalization Learnable?, by Liangze Jiang et al.
Summary of Data Similarity-based One-shot Clustering For Multi-task Hierarchical Federated Learning, by Abdulmoneam Ali et al.
Summary of Grounding Large Language Models in Embodied Environment with Imperfect World Models, by Haolan Liu et al.
Summary of Revisit Large-scale Image-caption Data in Pre-training Multimodal Foundation Models, by Zhengfeng Lai et al.
Summary of Salient Information Prompting to Steer Content in Prompt-based Abstractive Summarization, by Lei Xu et al.
Summary of Neutral Residues: Revisiting Adapters For Model Extension, by Franck Signe Talla and Herve Jegou and Edouard Grave
Summary of Contrastive Localized Language-image Pre-training, by Hong-you Chen et al.
Summary of Crispo: Multi-aspect Critique-suggestion-guided Automatic Prompt Optimization For Text Generation, by Han He et al.
Summary of Training Language Models on Synthetic Edit Sequences Improves Code Synthesis, by Ulyana Piterbarg and Lerrel Pinto and Rob Fergus
Summary of An Online Automatic Modulation Classification Scheme Based on Isolation Distributional Kernel, by Xinpeng Li et al.
Summary of Relic: a Recipe For 64k Steps Of In-context Reinforcement Learning For Embodied Ai, by Ahmad Elawady et al.
Summary of Gpt-4o As the Gold Standard: a Scalable and General Purpose Approach to Filter Language Model Pretraining Data, by Jifan Zhang et al.