Paper List

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Summary of Instructedit: Instruction-based Knowledge Editing For Large Language Models, by Ningyu Zhang et al.
Summary of Deepforge: Leveraging Ai For Microstructural Control in Metal Forming Via Model Predictive Control, by Jan Petrik and Markus Bambach
Summary of A Vae-based Framework For Learning Multi-level Neural Granger-causal Connectivity, by Jiahe Lin et al.
Summary of Explainable Contrastive and Cost-sensitive Learning For Cervical Cancer Classification, by Ashfiqun Mustari et al.
Summary of Predicting Outcomes in Video Games with Long Short Term Memory Networks, by Kittimate Chulajata et al.
Summary of Pretraining Strategy For Neural Potentials, by Zehua Zhang et al.
Summary of Large Stepsize Gradient Descent For Logistic Loss: Non-monotonicity Of the Loss Improves Optimization Efficiency, by Jingfeng Wu et al.
Summary of Scalable Volt-var Optimization Using Rllib-impala Framework: a Reinforcement Learning Approach, by Alaa Selim et al.
Summary of Decoding Intelligence: a Framework For Certifying Knowledge Comprehension in Llms, by Isha Chaudhary et al.
Summary of Bridging the Gap Between 2d and 3d Visual Question Answering: a Fusion Approach For 3d Vqa, by Wentao Mo et al.
Summary of Generalization or Memorization: Data Contamination and Trustworthy Evaluation For Large Language Models, by Yihong Dong et al.
Summary of Detoxllm: a Framework For Detoxification with Explanations, by Md Tawkat Islam Khondaker et al.
Summary of Dynamite-rl: a Dynamic Model For Improved Temporal Meta-reinforcement Learning, by Anthony Liang et al.
Summary of On the Dynamics Of Three-layer Neural Networks: Initial Condensation, by Zheng-an Chen et al.
Summary of Shaving Weights with Occam’s Razor: Bayesian Sparsification For Neural Networks Using the Marginal Likelihood, by Rayen Dhahri et al.
Summary of Hierarchical Energy Signatures Using Machine Learning For Operational Visibility and Diagnostics in Automotive Manufacturing, by Ankur Verma et al.
Summary of Structural Knowledge-driven Meta-learning For Task Offloading in Vehicular Networks with Integrated Communications, Sensing and Computing, by Ruijin Sun et al.
Summary of Codream: Exchanging Dreams Instead Of Models For Federated Aggregation with Heterogeneous Models, by Abhishek Singh et al.
Summary of A Unified Fourier Slice Method to Derive Ridgelet Transform For a Variety Of Depth-2 Neural Networks, by Sho Sonoda et al.
Summary of Model Compression Method For S4 with Diagonal State Space Layers Using Balanced Truncation, by Haruka Ezoe and Kazuhiro Sato
Summary of A Machine Learning Approach to Detect Customer Satisfaction From Multiple Tweet Parameters, by Md Mahmudul Hasan et al.
Summary of Adversarial-robust Transfer Learning For Medical Imaging Via Domain Assimilation, by Xiaohui Chen and Tie Luo
Summary of Unmasking Dementia Detection by Masking Input Gradients: a Jsm Approach to Model Interpretability and Precision, By Yasmine Mustafa and Tie Luo
Summary of Corelation: Boosting Automatic Icd Coding Through Contextualized Code Relation Learning, by Junyu Luo et al.
Summary of Orthogonal Gradient Boosting For Simpler Additive Rule Ensembles, by Fan Yang et al.
Summary of Operator Learning: Algorithms and Analysis, by Nikola B. Kovachki and Samuel Lanthaler and Andrew M. Stuart
Summary of Is Offline Decision Making Possible with Only Few Samples? Reliable Decisions in Data-starved Bandits Via Trust Region Enhancement, by Ruiqi Zhang et al.
Summary of A Statistical Analysis Of Wasserstein Autoencoders For Intrinsically Low-dimensional Data, by Saptarshi Chakraborty and Peter L. Bartlett
Summary of Understanding Missingness in Time-series Electronic Health Records For Individualized Representation, by Ghadeer O. Ghosheh et al.
Summary of A Duality Analysis Of Kernel Ridge Regression in the Noiseless Regime, by Jihao Long et al.
Summary of Clustering in Dynamic Environments: a Framework For Benchmark Dataset Generation with Heterogeneous Changes, by Danial Yazdani et al.
Summary of Data-efficient Operator Learning Via Unsupervised Pretraining and In-context Learning, by Wuyang Chen et al.
Summary of Sparse Mezo: Less Parameters For Better Performance in Zeroth-order Llm Fine-tuning, by Yong Liu et al.
Summary of Low-rank Bandits Via Tight Two-to-infinity Singular Subspace Recovery, by Yassir Jedra et al.
Summary of On Efficiently Representing Regular Languages As Rnns, by Anej Svete et al.
Summary of Optimal Zero-shot Detector For Multi-armed Attacks, by Federica Granese et al.
Summary of A Generative Machine Learning Model For Material Microstructure 3d Reconstruction and Performance Evaluation, by Yilin Zheng and Zhigong Song
Summary of Reward Design For Justifiable Sequential Decision-making, by Aleksa Sukovic et al.
Summary of Field-based Molecule Generation, by Alexandru Dumitrescu et al.
Summary of Prompt Perturbation Consistency Learning For Robust Language Models, by Yao Qiang et al.
Summary of Extraction Propagation, by Stephen Pasteris et al.
Summary of Esfl: Efficient Split Federated Learning Over Resource-constrained Heterogeneous Wireless Devices, by Guangyu Zhu et al.
Summary of Learning to See Through Dazzle, by Xiaopeng Peng et al.
Summary of Fair Multivariate Adaptive Regression Splines For Ensuring Equity and Transparency, by Parian Haghighat et al.
Summary of Cohere3d: Exploiting Temporal Coherence For Unsupervised Representation Learning Of Vision-based Autonomous Driving, by Yichen Xie et al.
Summary of Llms As Meta-reviewers’ Assistants: a Case Study, by Eftekhar Hossain et al.
Summary of Differentially Private Fair Binary Classifications, by Hrad Ghoukasian et al.
Summary of Machine Learning-based Completions Sequencing For Well Performance Optimization, by Anjie Liu et al.
Summary of How Do Nonlinear Transformers Learn and Generalize in In-context Learning?, by Hongkang Li et al.
Summary of Towards Efficient Active Learning in Nlp Via Pretrained Representations, by Artem Vysogorets et al.
Summary of Megascale: Scaling Large Language Model Training to More Than 10,000 Gpus, by Ziheng Jiang et al.
Summary of Language-based User Profiles For Recommendation, by Joyce Zhou et al.
Summary of Learning Cyclic Causal Models From Incomplete Data, by Muralikrishnna G. Sethuraman et al.
Summary of Smooth and Sparse Latent Dynamics in Operator Learning with Jerk Regularization, by Xiaoyu Xie et al.
Summary of Fair Resource Allocation in Multi-task Learning, by Hao Ban et al.
Summary of Uniformly Safe Rl with Objective Suppression For Multi-constraint Safety-critical Applications, by Zihan Zhou et al.
Summary of Contact Complexity in Customer Service, by Shu-ting Pi et al.
Summary of Learning Semilinear Neural Operators : a Unified Recursive Framework For Prediction and Data Assimilation, by Ashutosh Singh et al.
Summary of Teacher-student Learning on Complexity in Intelligent Routing, by Shu-ting Pi et al.
Summary of Scalable Density-based Clustering with Random Projections, by Haochuan Xu et al.
Summary of Universal Model in Online Customer Service, by Shu-ting Pi et al.
Summary of Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks, by Qian Ma et al.
Summary of Anchor-free Clustering Based on Anchor Graph Factorization, by Shikun Mei et al.
Summary of The Impact Of Lora on the Emergence Of Clusters in Transformers, by Hugo Koubbi et al.
Summary of A Data-centric Approach to Generate Faithful and High Quality Patient Summaries with Large Language Models, by Stefan Hegselmann et al.
Summary of Protip: Probabilistic Robustness Verification on Text-to-image Diffusion Models Against Stochastic Perturbation, by Yi Zhang et al.
Summary of Hierarchical Invariance For Robust and Interpretable Vision Tasks at Larger Scales, by Shuren Qi et al.
Summary of Unleashing the Power Of Imbalanced Modality Information For Multi-modal Knowledge Graph Completion, by Yichi Zhang et al.
Summary of Repetition Improves Language Model Embeddings, by Jacob Mitchell Springer et al.
Summary of Fair: Filtering Of Automatically Induced Rules, by Divya Jyoti Bajpai et al.
Summary of Leveraging Domain Knowledge For Efficient Reward Modelling in Rlhf: a Case-study in E-commerce Opinion Summarization, by Swaroop Nath et al.
Summary of Debiasing Machine Learning Models by Using Weakly Supervised Learning, By Renan D. B. Brotto et al.
Summary of Transformers Are Expressive, but Are They Expressive Enough For Regression?, by Swaroop Nath et al.
Summary of A Comprehensive Survey Of Convolutions in Deep Learning: Applications, Challenges, and Future Trends, by Abolfazl Younesi et al.
Summary of Mechanics-informed Autoencoder Enables Automated Detection and Localization Of Unforeseen Structural Damage, by Xuyang Li et al.
Summary of Agentohana: Design Unified Data and Training Pipeline For Effective Agent Learning, by Jianguo Zhang et al.
Summary of Co-supervised Learning: Improving Weak-to-strong Generalization with Hierarchical Mixture Of Experts, by Yuejiang Liu et al.
Summary of Hkd-sho: a Hybrid Smart Home System Based on Knowledge-based and Data-driven Services, by Mingming Qiu et al.
Summary of Graph Pruning For Enumeration Of Minimal Unsatisfiable Subsets, by Panagiotis Lymperopoulos and Liping Liu
Summary of Chain-of-specificity: An Iteratively Refining Method For Eliciting Knowledge From Large Language Models, by Kaiwen Wei et al.
Summary of Evaluating the Performance Of Chatgpt For Spam Email Detection, by Shijing Si et al.
Summary of Deep Networks Always Grok and Here Is Why, by Ahmed Imtiaz Humayun et al.
Summary of Foundation Policies with Hilbert Representations, by Seohong Park et al.
Summary of Ranking Entities Along Conceptual Space Dimensions with Llms: An Analysis Of Fine-tuning Strategies, by Nitesh Kumar et al.
Summary of Nuner: Entity Recognition Encoder Pre-training Via Llm-annotated Data, by Sergei Bogdanov et al.
Summary of Fourier Basis Density Model, by Alfredo De La Fuente et al.
Summary of Information-theoretic Safe Bayesian Optimization, by Alessandro G. Bottero et al.
Summary of Iteration and Stochastic First-order Oracle Complexities Of Stochastic Gradient Descent Using Constant and Decaying Learning Rates, by Kento Imaizumi et al.
Summary of Autommlab: Automatically Generating Deployable Models From Language Instructions For Computer Vision Tasks, by Zekang Yang et al.
Summary of Efficient Semi-supervised Inference For Logistic Regression Under Case-control Studies, by Zhuojun Quan et al.
Summary of Dual Encoder: Exploiting the Potential Of Syntactic and Semantic For Aspect Sentiment Triplet Extraction, by Xiaowei Zhao et al.
Summary of Explorations Of Self-repair in Language Models, by Cody Rushing et al.
Summary of Genie: Generative Interactive Environments, by Jake Bruce et al.
Summary of Offline Inverse Rl: New Solution Concepts and Provably Efficient Algorithms, by Filippo Lazzati et al.
Summary of Neuralsolver: Learning Algorithms For Consistent and Efficient Extrapolation Across General Tasks, by Bernardo Esteves et al.
Summary of Transflower: An Explainable Transformer-based Model with Flow-to-flow Attention For Commuting Flow Prediction, by Yan Luo et al.
Summary of Distributionally Robust Off-dynamics Reinforcement Learning: Provable Efficiency with Linear Function Approximation, by Zhishuai Liu et al.
Summary of Conformalized-deeponet: a Distribution-free Framework For Uncertainty Quantification in Deep Operator Networks, by Christian Moya et al.
Summary of Lasso with Latents: Efficient Estimation, Covariate Rescaling, and Computational-statistical Gaps, by Jonathan Kelner et al.
Summary of United We Pretrain, Divided We Fail! Representation Learning For Time Series by Pretraining on 75 Datasets at Once, By Maurice Kraus and Felix Divo and David Steinmann and Devendra Singh Dhami and Kristian Kersting