Paper List

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Summary of The Illusion Of State in State-space Models, by William Merrill and Jackson Petty and Ashish Sabharwal
Summary of Bert-lsh: Reducing Absolute Compute For Attention, by Zezheng Li et al.
Summary of Predicting Traffic Congestion at Urban Intersections Using Data-driven Modeling, by Tara Kelly et al.
Summary of Inheritune: Training Smaller Yet More Attentive Language Models, by Sunny Sanyal et al.
Summary of Transformer-based Joint Modelling For Automatic Essay Scoring and Off-topic Detection, by Sourya Dipta Das et al.
Summary of Revealing Trends in Datasets From the 2022 Acl and Emnlp Conferences, by Jesse Atuhurra et al.
Summary of Sentiment Analysis and Random Forest to Classify Llm Versus Human Source Applied to Scientific Texts, by Javier J. Sanchez-medina
Summary of Alert: a Comprehensive Benchmark For Assessing Large Language Models’ Safety Through Red Teaming, by Simone Tedeschi et al.
Summary of Extractive Text Summarisation Of Privacy Policy Documents Using Machine Learning Approaches, by Chanwoo Choi
Summary of Your Finetuned Large Language Model Is Already a Powerful Out-of-distribution Detector, by Andi Zhang et al.
Summary of Neural Sequence-to-sequence Modeling with Attention by Leveraging Deep Learning Architectures For Enhanced Contextual Understanding in Abstractive Text Summarization, By Bhavith Chandra Challagundla et al.
Summary of Towards Building a Robust Toxicity Predictor, by Dmitriy Bespalov et al.
Summary of Lossless Acceleration Of Large Language Model Via Adaptive N-gram Parallel Decoding, by Jie Ou et al.
Summary of Politune: Analyzing the Impact Of Data Selection and Fine-tuning on Economic and Political Biases in Large Language Models, by Ahmed Agiza et al.
Summary of Can Contrastive Learning Refine Embeddings, by Lihui Liu and Jinha Kim and Vidit Bansal
Summary of Predictive Modelling Of Air Quality Index (aqi) Across Diverse Cities and States Of India Using Machine Learning: Investigating the Influence Of Punjab’s Stubble Burning on Aqi Variability, by Kamaljeet Kaur Sidhu et al.
Summary of Introducing L2m3, a Multilingual Medical Large Language Model to Advance Health Equity in Low-resource Regions, by Agasthya Gangavarapu
Summary of Cem: a Data-efficient Method For Large Language Models to Continue Evolving From Mistakes, by Haokun Zhao and Haixia Han and Jie Shi and Chengyu Du and Jiaqing Liang and Yanghua Xiao
Summary of Differentially Private Log-location-scale Regression Using Functional Mechanism, by Jiewen Sheng et al.
Summary of State-space Systems As Dynamic Generative Models, by Juan-pablo Ortega and Florian Rossmannek
Summary of Beyond One-size-fits-all: Adapting Counterfactual Explanations to User Objectives, by Orfeas Menis Mastromichalakis et al.
Summary of Observation-specific Explanations Through Scattered Data Approximation, by Valentina Ghidini et al.
Summary of Fastlogad: Log Anomaly Detection with Mask-guided Pseudo Anomaly Generation and Discrimination, by Yifei Lin et al.
Summary of On the Independence Assumption in Neurosymbolic Learning, by Emile Van Krieken et al.
Summary of Tslanet: Rethinking Transformers For Time Series Representation Learning, by Emadeldeen Eldele et al.
Summary of Otter: Effortless Label Distribution Adaptation Of Zero-shot Models, by Changho Shin et al.
Summary of Combining Statistical Depth and Fermat Distance For Uncertainty Quantification, by Hai-vy Nguyen et al.
Summary of Revisiting Feature Prediction For Learning Visual Representations From Video, by Adrien Bardes et al.
Summary of Decoding Ai: the Inside Story Of Data Analysis in Chatgpt, by Ozan Evkaya et al.
Summary of Dataset Reset Policy Optimization For Rlhf, by Jonathan D. Chang et al.
Summary of Adversarial Imitation Learning Via Boosting, by Jonathan D. Chang et al.
Summary of Advancing Forest Fire Prevention: Deep Reinforcement Learning For Effective Firebreak Placement, by Lucas Murray et al.
Summary of Fuxi-da: a Generalized Deep Learning Data Assimilation Framework For Assimilating Satellite Observations, by Xiaoze Xu et al.
Summary of Scalability in Building Component Data Annotation: Enhancing Facade Material Classification with Synthetic Data, by Josie Harrison et al.
Summary of Rlhf Deciphered: a Critical Analysis Of Reinforcement Learning From Human Feedback For Llms, by Shreyas Chaudhari et al.
Summary of Going Forward-forward in Distributed Deep Learning, by Ege Aktemur et al.
Summary of Small Models Are (still) Effective Cross-domain Argument Extractors, by William Gantt and Aaron Steven White
Summary of Federated Distillation: a Survey, by Lin Li and Jianping Gou and Baosheng Yu and Lan Du and Zhang Yiand Dacheng Tao
Summary of Sliding Down the Stairs: How Correlated Latent Variables Accelerate Learning with Neural Networks, by Lorenzo Bardone and Sebastian Goldt
Summary of Generating Synthetic Time Series Data For Cyber-physical Systems, by Alexander Sommers and Somayeh Bakhtiari Ramezani and Logan Cummins and Sudip Mittal and Shahram Rahimi and Maria Seale and Joseph Jaboure
Summary of Hyperbolic Delaunay Geometric Alignment, by Aniss Aiman Medbouhi et al.
Summary of Regularized Gradient Clipping Provably Trains Wide and Deep Neural Networks, by Matteo Tucat and Anirbit Mukherjee
Summary of Is Chatgpt Transforming Academics’ Writing Style?, by Mingmeng Geng et al.
Summary of Hcl-mtsad: Hierarchical Contrastive Consistency Learning For Accurate Detection Of Industrial Multivariate Time Series Anomalies, by Haili Sun et al.
Summary of Uncertain Boundaries: Multidisciplinary Approaches to Copyright Issues in Generative Ai, by Jocelyn Dzuong et al.
Summary of Enhancing Fairness and Performance in Machine Learning Models: a Multi-task Learning Approach with Monte-carlo Dropout and Pareto Optimality, by Khadija Zanna et al.
Summary of Generalized Population-based Training For Hyperparameter Optimization in Reinforcement Learning, by Hui Bai et al.
Summary of Balanced Mixed-type Tabular Data Synthesis with Diffusion Models, by Zeyu Yang et al.
Summary of Transfer Learning Study Of Motion Transformer-based Trajectory Predictions, by Lars Ullrich et al.
Summary of Study Of Emotion Concept Formation by Integrating Vision, Physiology, and Word Information Using Multilayered Multimodal Latent Dirichlet Allocation, By Kazuki Tsurumaki et al.
Summary of Relational Prompt-based Pre-trained Language Models For Social Event Detection, by Pu Li et al.
Summary of Toward a Theory Of Tokenization in Llms, by Nived Rajaraman and Jiantao Jiao and Kannan Ramchandran
Summary of Learning to Rebalance Multi-modal Optimization by Adaptively Masking Subnetworks, By Yang Yang et al.
Summary of Nc-ttt: a Noise Contrastive Approach For Test-time Training, by David Osowiechi and Gustavo A. Vargas Hakim and Mehrdad Noori and Milad Cheraghalikhani and Ali Bahri and Moslem Yazdanpanah and Ismail Ben Ayed and Christian Desrosiers
Summary of Graph Data Augmentation with Gromow-wasserstein Barycenters, by Andrea Ponti
Summary of A Complexity Map Of Probabilistic Reasoning For Neurosymbolic Classification Techniques, by Arthur Ledaguenel et al.
Summary of Data-driven Preference Sampling For Pareto Front Learning, by Rongguang Ye et al.
Summary of Seismic First Break Picking in a Higher Dimension Using Deep Graph Learning, by Hongtao Wang et al.
Summary of Adapterswap: Continuous Training Of Llms with Data Removal and Access-control Guarantees, by William Fleshman et al.
Summary of Sir-rl: Reinforcement Learning For Optimized Policy Control During Epidemiological Outbreaks in Emerging Market and Developing Economies, by Maeghal Jain et al.
Summary of Anti-byzantine Attacks Enabled Vehicle Selection For Asynchronous Federated Learning in Vehicular Edge Computing, by Cui Zhang et al.
Summary of Lightweight Multi-system Multivariate Interconnection and Divergence Discovery, by Mulugeta Weldezgina Asres et al.
Summary of Federated Optimization with Doubly Regularized Drift Correction, by Xiaowen Jiang et al.
Summary of The Oxmat Dataset: a Multimodal Resource For the Development Of Ai-driven Technologies in Maternal and Newborn Child Health, by M. Jaleed Khan et al.
Summary of Vetrass: Vehicle Trajectory Similarity Search Through Graph Modeling and Representation Learning, by Ming Cheng et al.
Summary of Survmamba: State Space Model with Multi-grained Multi-modal Interaction For Survival Prediction, by Ying Chen et al.
Summary of Fedauxhmtl: Federated Auxiliary Hard-parameter Sharing Multi-task Learning For Network Edge Traffic Classification, by Faisal Ahmed et al.
Summary of A Multi-expert Large Language Model Architecture For Verilog Code Generation, by Bardia Nadimi and Hao Zheng
Summary of Latent Guard: a Safety Framework For Text-to-image Generation, by Runtao Liu et al.
Summary of Physics-enhanced Graph Neural Networks For Soft Sensing in Industrial Internet Of Things, by Keivan Faghih Niresi et al.
Summary of Persistent Classification: a New Approach to Stability Of Data and Adversarial Examples, by Brian Bell et al.
Summary of Wildgraph: Realistic Graph-based Trajectory Generation For Wildlife, by Ali Al-lawati et al.
Summary of Sqbc: Active Learning Using Llm-generated Synthetic Data For Stance Detection in Online Political Discussions, by Stefan Sylvius Wagner et al.
Summary of Variance-reduced Zeroth-order Methods For Fine-tuning Language Models, by Tanmay Gautam et al.
Summary of Dimat: Decentralized Iterative Merging-and-training For Deep Learning Models, by Nastaran Saadati et al.
Summary of Efficient Duple Perturbation Robustness in Low-rank Mdps, by Yang Hu et al.
Summary of Continual Learning Of Range-dependent Transmission Loss For Underwater Acoustic Using Conditional Convolutional Neural Net, by Indu Kant Deo et al.
Summary of Self-supervised Learning Of Color Constancy, by Markus R. Ernst et al.
Summary of Disorderunetlm: Validating Proteinunet For Efficient Protein Intrinsic Disorder Prediction, by Krzysztof Kotowski et al.
Summary of Frame Quantization Of Neural Networks, by Wojciech Czaja et al.
Summary of Eliminating Catastrophic Overfitting Via Abnormal Adversarial Examples Regularization, by Runqi Lin et al.
Summary of Conformal Prediction Via Regression-as-classification, by Etash Guha et al.
Summary of Language Model Prompt Selection Via Simulation Optimization, by Haoting Zhang et al.
Summary of Lyapunov-stable Neural Control For State and Output Feedback: a Novel Formulation, by Lujie Yang et al.
Summary of Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components, by Naichen Shi and Salar Fattahi and Raed Al Kontar
Summary of Deep Learning-based Auto-segmentation Of Paraganglioma For Growth Monitoring, by E.m.c. Sijben et al.
Summary of Live and Learn: Continual Action Clustering with Incremental Views, by Xiaoqiang Yan et al.
Summary of Two Effects, One Trigger: on the Modality Gap, Object Bias, and Information Imbalance in Contrastive Vision-language Models, by Simon Schrodi et al.
Summary of Lloco: Learning Long Contexts Offline, by Sijun Tan et al.
Summary of Any2point: Empowering Any-modality Large Models For Efficient 3d Understanding, by Yiwen Tang et al.
Summary of Controlnet++: Improving Conditional Controls with Efficient Consistency Feedback, by Ming Li et al.
Summary of Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis, by Guangchen Lan et al.
Summary of A Multi-level Framework For Accelerating Training Transformer Models, by Longwei Zou et al.
Summary of Approxdarts: Differentiable Neural Architecture Search with Approximate Multipliers, by Michal Pinos et al.
Summary of Granp: a Graph Recurrent Attentive Neural Process Model For Vehicle Trajectory Prediction, by Yuhao Luo et al.
Summary of Interpretable Neural Temporal Point Processes For Modelling Electronic Health Records, by Bingqing Liu
Summary of Accel-nasbench: Sustainable Benchmarking For Accelerator-aware Nas, by Afzal Ahmad et al.
Summary of Sample-efficient Human Evaluation Of Large Language Models Via Maximum Discrepancy Competition, by Kehua Feng et al.
Summary of An Inclusive Review on Deep Learning Techniques and Their Scope in Handwriting Recognition, by Sukhdeep Singh et al.
Summary of Differentiable Search For Finding Optimal Quantization Strategy, by Lianqiang Li et al.