Paper List

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Summary of A Hopfieldian View-based Interpretation For Chain-of-thought Reasoning, by Lijie Hu et al.
Summary of Self-supervised Time-series Anomaly Detection Using Learnable Data Augmentation, by Kukjin Choi et al.
Summary of Investigating Data Usage For Inductive Conformal Predictors, by Yizirui Fang and Anthony Bellotti
Summary of Sagdfn: a Scalable Adaptive Graph Diffusion Forecasting Network For Multivariate Time Series Forecasting, by Yue Jiang et al.
Summary of Soft Prompting For Unlearning in Large Language Models, by Karuna Bhaila et al.
Summary of Not All Prompts Are Made Equal: Prompt-based Pruning Of Text-to-image Diffusion Models, by Alireza Ganjdanesh et al.
Summary of Fawn: Floor-and-walls Normal Regularization For Direct Neural Tsdf Reconstruction, by Anna Sokolova et al.
Summary of Uniglm: Training One Unified Language Model For Text-attributed Graph Embedding, by Yi Fang et al.
Summary of Learning Molecular Representation in a Cell, by Gang Liu et al.
Summary of A Scalable and Effective Alternative to Graph Transformers, by Kaan Sancak et al.
Summary of Not Eliminate but Aggregate: Post-hoc Control Over Mixture-of-experts to Address Shortcut Shifts in Natural Language Understanding, by Ukyo Honda et al.
Summary of Entropic Regression Dmd (erdmd) Discovers Informative Sparse and Nonuniformly Time Delayed Models, by Christopher W. Curtis et al.
Summary of Stnagnn: Spatiotemporal Node Attention Graph Neural Network For Task-based Fmri Analysis, by Jiyao Wang et al.
Summary of Dtgb: a Comprehensive Benchmark For Dynamic Text-attributed Graphs, by Jiasheng Zhang et al.
Summary of Multi-dimensional Pruning: Joint Channel, Layer and Block Pruning with Latency Constraint, by Xinglong Sun et al.
Summary of Cuqds: Conformal Uncertainty Quantification Under Distribution Shift For Trajectory Prediction, by Huiqun Huang et al.
Summary of Is Poisoning a Real Threat to Llm Alignment? Maybe More So Than You Think, by Pankayaraj Pathmanathan et al.
Summary of Uncertainty Modeling For Fine-tuned Implicit Functions, by Anna Susmelj et al.
Summary of End-to-end Text-to-sql Generation Within An Analytics Insight Engine, by Karime Maamari et al.
Summary of Enhancing Text Classification Through Llm-driven Active Learning and Human Annotation, by Hamidreza Rouzegar et al.
Summary of Adding Conditional Control to Diffusion Models with Reinforcement Learning, by Yulai Zhao et al.
Summary of Efficient Sequential Decision Making with Large Language Models, by Dingyang Chen et al.
Summary of Deploying Scalable Traffic Prediction Models For Efficient Management in Real-world Large Transportation Networks During Hurricane Evacuations, by Qinhua Jiang et al.
Summary of Cot Flow: Learning Optimal-transport Image Sampling and Editing by Contrastive Pairs, By Xinrui Zu et al.
Summary of Graph Knowledge Distillation to Mixture Of Experts, by Pavel Rumiantsev and Mark Coates
Summary of Interpretable Modulated Differentiable Stft and Physics-informed Balanced Spectrum Metric For Freight Train Wheelset Bearing Cross-machine Transfer Fault Diagnosis Under Speed Fluctuations, by Chao He and Hongmei Shi and Ruixin Li and Jianbo Li and Zujun Yu
Summary of Rethinking Spatio-temporal Transformer For Traffic Prediction:multi-level Multi-view Augmented Learning Framework, by Jiaqi Lin and Qianqian Ren
Summary of Job-sdf: a Multi-granularity Dataset For Job Skill Demand Forecasting and Benchmarking, by Xi Chen et al.
Summary of Flexcare: Leveraging Cross-task Synergy For Flexible Multimodal Healthcare Prediction, by Muhao Xu et al.
Summary of From Crowdsourced Data to High-quality Benchmarks: Arena-hard and Benchbuilder Pipeline, by Tianle Li et al.
Summary of Long-time Asymptotics Of Noisy Svgd Outside the Population Limit, by Victor Priser (s2a et al.
Summary of Bridging Design Gaps: a Parametric Data Completion Approach with Graph Guided Diffusion Models, by Rui Zhou et al.
Summary of Transcoders Find Interpretable Llm Feature Circuits, by Jacob Dunefsky and Philippe Chlenski and Neel Nanda
Summary of Crossfusor: a Cross-attention Transformer Enhanced Conditional Diffusion Model For Car-following Trajectory Prediction, by Junwei You et al.
Summary of Gaugllm: Improving Graph Contrastive Learning For Text-attributed Graphs with Large Language Models, by Yi Fang et al.
Summary of Dialogue Action Tokens: Steering Language Models in Goal-directed Dialogue with a Multi-turn Planner, by Kenneth Li et al.
Summary of Delay Embedding Theory Of Neural Sequence Models, by Mitchell Ostrow et al.
Summary of Decomposed Evaluations Of Geographic Disparities in Text-to-image Models, by Abhishek Sureddy et al.
Summary of The Benefits and Risks Of Transductive Approaches For Ai Fairness, by Muhammed Razzak et al.
Summary of Prefixing Attention Sinks Can Mitigate Activation Outliers For Large Language Model Quantization, by Seungwoo Son et al.
Summary of Lilium: Ebay’s Large Language Models For E-commerce, by Christian Herold and Michael Kozielski and Leonid Ekimov and Pavel Petrushkov and Pierre-yves Vandenbussche and Shahram Khadivi
Summary of Sparsity-constraint Optimization Via Splicing Iteration, by Zezhi Wang et al.
Summary of Large Scale Transfer Learning For Tabular Data Via Language Modeling, by Josh Gardner et al.
Summary of Self-moe: Towards Compositional Large Language Models with Self-specialized Experts, by Junmo Kang et al.
Summary of Datacomp-lm: in Search Of the Next Generation Of Training Sets For Language Models, by Jeffrey Li et al.
Summary of Computationally Efficient Rl Under Linear Bellman Completeness For Deterministic Dynamics, by Runzhe Wu et al.
Summary of Stochastic Neural Network Symmetrisation in Markov Categories, by Rob Cornish
Summary of Iterative Length-regularized Direct Preference Optimization: a Case Study on Improving 7b Language Models to Gpt-4 Level, by Jie Liu et al.
Summary of Spectral Introspection Identifies Group Training Dynamics in Deep Neural Networks For Neuroimaging, by Bradley T. Baker et al.
Summary of Wpo: Enhancing Rlhf with Weighted Preference Optimization, by Wenxuan Zhou et al.
Summary of Learning Sum Of Diverse Features: Computational Hardness and Efficient Gradient-based Training For Ridge Combinations, by Kazusato Oko et al.
Summary of Mmdu: a Multi-turn Multi-image Dialog Understanding Benchmark and Instruction-tuning Dataset For Lvlms, by Ziyu Liu et al.
Summary of Mdpo: Conditional Preference Optimization For Multimodal Large Language Models, by Fei Wang et al.
Summary of The Earlybird Gets the Worm: Heuristically Accelerating Earlybird Convergence, by Adithya Vasudev
Summary of Matrix-free Jacobian Chaining, by Uwe Naumann
Summary of Applications Of Explainable Artificial Intelligence in Earth System Science, by Feini Huang et al.
Summary of Unraveling the Mechanics Of Learning-based Demonstration Selection For In-context Learning, by Hui Liu et al.
Summary of Financial Assets Dependency Prediction Utilizing Spatiotemporal Patterns, by Haoren Zhu et al.
Summary of Digirl: Training In-the-wild Device-control Agents with Autonomous Reinforcement Learning, by Hao Bai et al.
Summary of A Benchmark For Maximum Cut: Towards Standardization Of the Evaluation Of Learned Heuristics For Combinatorial Optimization, by Ankur Nath et al.
Summary of Towards Better Benchmark Datasets For Inductive Knowledge Graph Completion, by Harry Shomer et al.
Summary of Mixture-of-subspaces in Low-rank Adaptation, by Taiqiang Wu et al.
Summary of A Notion Of Complexity For Theory Of Mind Via Discrete World Models, by X. Angelo Huang et al.
Summary of Initial Investigation Of Kolmogorov-arnold Networks (kans) As Feature Extractors For Imu Based Human Activity Recognition, by Mengxi Liu et al.
Summary of The Role Of Inherent Bellman Error in Offline Reinforcement Learning with Linear Function Approximation, by Noah Golowich and Ankur Moitra
Summary of Score-fpinn: Fractional Score-based Physics-informed Neural Networks For High-dimensional Fokker-planck-levy Equations, by Zheyuan Hu et al.
Summary of Edge Classification on Graphs: New Directions in Topological Imbalance, by Xueqi Cheng et al.
Summary of Optimizing Instructions and Demonstrations For Multi-stage Language Model Programs, by Krista Opsahl-ong et al.
Summary of Unveiling Multiple Descents in Unsupervised Autoencoders, by Kobi Rahimi et al.
Summary of Nemotron-4 340b Technical Report, by Nvidia: Bo Adler et al.
Summary of Measuring Memorization in Rlhf For Code Completion, by Aneesh Pappu et al.
Summary of Scalable Expressiveness Through Preprocessed Graph Perturbations, by Danial Saber and Amirali Salehi-abari
Summary of Refusal in Language Models Is Mediated by a Single Direction, By Andy Arditi et al.
Summary of Zero-shot Generalization During Instruction Tuning: Insights From Similarity and Granularity, by Bingxiang He et al.
Summary of To Clip or Not to Clip: the Dynamics Of Sgd with Gradient Clipping in High-dimensions, by Noah Marshall et al.
Summary of Transcendence: Generative Models Can Outperform the Experts That Train Them, by Edwin Zhang et al.
Summary of A Semantic-aware Layer-freezing Approach to Computation-efficient Fine-tuning Of Language Models, by Jian Gu et al.
Summary of Joint Linked Component Analysis For Multiview Data, by Lin Xiao et al.
Summary of Optimal Transport-assisted Risk-sensitive Q-learning, by Zahra Shahrooei and Ali Baheri
Summary of Compact Proofs Of Model Performance Via Mechanistic Interpretability, by Jason Gross et al.
Summary of Split, Unlearn, Merge: Leveraging Data Attributes For More Effective Unlearning in Llms, by Swanand Ravindra Kadhe et al.
Summary of Cell Your Model: Contrastive Explanations For Large Language Models, by Ronny Luss et al.
Summary of Efficient Discovery Of Significant Patterns with Few-shot Resampling, by Leonardo Pellegrina and Fabio Vandin
Summary of Physics-constrained Learning For Pde Systems with Uncertainty Quantified Port-hamiltonian Models, by Kaiyuan Tan et al.
Summary of Just How Flexible Are Neural Networks in Practice?, by Ravid Shwartz-ziv and Micah Goldblum and Arpit Bansal and C. Bayan Bruss and Yann Lecun and Andrew Gordon Wilson
Summary of Constrained Reinforcement Learning with Average Reward Objective: Model-based and Model-free Algorithms, by Vaneet Aggarwal et al.
Summary of Active Clustering with Bandit Feedback, by Victor Thuot (mistea) et al.
Summary of Teleporter Theory: a General and Simple Approach For Modeling Cross-world Counterfactual Causality, by Jiangmeng Li et al.
Summary of Revisiting Spurious Correlation in Domain Generalization, by Bin Qin et al.
Summary of Analysing Zero-shot Temporal Relation Extraction on Clinical Notes Using Temporal Consistency, by Vasiliki Kougia et al.
Summary of Explainable Artificial Intelligence and Multicollinearity : a Mini Review Of Current Approaches, by Ahmed M Salih
Summary of Fullcert: Deterministic End-to-end Certification For Training and Inference Of Neural Networks, by Tobias Lorenz et al.
Summary of Do Parameters Reveal More Than Loss For Membership Inference?, by Anshuman Suri et al.
Summary of Gecobench: a Gender-controlled Text Dataset and Benchmark For Quantifying Biases in Explanations, by Rick Wilming et al.
Summary of An Imitative Reinforcement Learning Framework For Autonomous Dogfight, by Siyuan Li et al.
Summary of Pre-training and Personalized Fine-tuning Via Over-the-air Federated Meta-learning: Convergence-generalization Trade-offs, by Haifeng Wen et al.
Summary of On Gnn Explanability with Activation Rules, by Luca Veyrin-forrer et al.
Summary of Standardizing Structural Causal Models, by Weronika Ormaniec et al.
Summary of Words in Motion: Extracting Interpretable Control Vectors For Motion Transformers, by Omer Sahin Tas and Royden Wagner
Summary of Long Code Arena: a Set Of Benchmarks For Long-context Code Models, by Egor Bogomolov et al.