Paper List

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Summary of On the Performance Of Empirical Risk Minimization with Smoothed Data, by Adam Block et al.
Summary of Verifiable Boosted Tree Ensembles, by Stefano Calzavara et al.
Summary of Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data, by Yongkyung Oh et al.
Summary of Deepfake Detection and the Impact Of Limited Computing Capabilities, by Paloma Cantero-arjona et al.
Summary of Mike: a New Benchmark For Fine-grained Multimodal Entity Knowledge Editing, by Jiaqi Li et al.
Summary of An Empirical Categorization Of Prompting Techniques For Large Language Models: a Practitioner’s Guide, by Oluwole Fagbohun et al.
Summary of Rfbes at Semeval-2024 Task 8: Investigating Syntactic and Semantic Features For Distinguishing Ai-generated and Human-written Texts, by Mohammad Heydari Rad et al.
Summary of Text Diffusion with Reinforced Conditioning, by Yuxuan Liu et al.
Summary of Purifying Large Language Models by Ensembling a Small Language Model, By Tianlin Li et al.
Summary of Asynchronous and Segmented Bidirectional Encoding For Nmt, by Jingpu Yang et al.
Summary of Humaneval on Latest Gpt Models — 2024, by Daniel Li et al.
Summary of Ranking Large Language Models Without Ground Truth, by Amit Dhurandhar et al.
Summary of Cloudnine: Analyzing Meteorological Observation Impact on Weather Prediction Using Explainable Graph Neural Networks, by Hyeon-ju Jeon and Jeon-ho Kang and In-hyuk Kwon and O-joun Lee
Summary of Dynamic Evaluation Of Large Language Models by Meta Probing Agents, By Kaijie Zhu et al.
Summary of Aptq: Attention-aware Post-training Mixed-precision Quantization For Large Language Models, by Ziyi Guan et al.
Summary of Effects Of Term Weighting Approach with and Without Stop Words Removing on Arabic Text Classification, by Esra’a Alhenawi et al.
Summary of Distillation Contrastive Decoding: Improving Llms Reasoning with Contrastive Decoding and Distillation, by Phuc Phan et al.
Summary of What’s in a Name? Auditing Large Language Models For Race and Gender Bias, by Alejandro Salinas et al.
Summary of Energy-efficiency Limits on Training Ai Systems Using Learning-in-memory, by Zihao Chen and Johannes Leugering and Gert Cauwenberghs and Shantanu Chakrabartty
Summary of Deep Generative Model-based Synthesis Of Four-bar Linkage Mechanisms with Target Conditions, by Sumin Lee et al.
Summary of Applying Reinforcement Learning to Optimize Traffic Light Cycles, by Seungah Son and Juhee Jin
Summary of Efficient Data Selection Employing Semantic Similarity-based Graph Structures For Model Training, by Roxana Petcu and Subhadeep Maji
Summary of Vygotsky Distance: Measure For Benchmark Task Similarity, by Maxim K. Surkov and Ivan P. Yamshchikov
Summary of How Transformers Learn Causal Structure with Gradient Descent, by Eshaan Nichani et al.
Summary of Scaling Efficient Llms, by B.n. Kausik
Summary of Prompting a Pretrained Transformer Can Be a Universal Approximator, by Aleksandar Petrov et al.
Summary of Batch and Match: Black-box Variational Inference with a Score-based Divergence, by Diana Cai et al.
Summary of Generalising Realisability in Statistical Learning Theory Under Epistemic Uncertainty, by Fabio Cuzzolin
Summary of Generalizing Reward Modeling For Out-of-distribution Preference Learning, by Chen Jia
Summary of Causal Imputation For Counterfactual Scms: Bridging Graphs and Latent Factor Models, by Alvaro Ribot et al.
Summary of 2d Matryoshka Sentence Embeddings, by Xianming Li et al.
Summary of Effective Bayesian Causal Inference Via Structural Marginalisation and Autoregressive Orders, by Christian Toth et al.
Summary of Self-guided Masked Autoencoders For Domain-agnostic Self-supervised Learning, by Johnathan Xie et al.
Summary of Consolidating Attention Features For Multi-view Image Editing, by or Patashnik et al.
Summary of Not All Experts Are Equal: Efficient Expert Pruning and Skipping For Mixture-of-experts Large Language Models, by Xudong Lu et al.
Summary of Link Prediction Under Heterophily: a Physics-inspired Graph Neural Network Approach, by Andrea Giuseppe Di Francesco et al.
Summary of Measuring Multimodal Mathematical Reasoning with Math-vision Dataset, by Ke Wang et al.
Summary of Difference Learning For Air Quality Forecasting Transport Emulation, by Reed River Chen et al.
Summary of Criticbench: Benchmarking Llms For Critique-correct Reasoning, by Zicheng Lin et al.
Summary of Geneoh Diffusion: Towards Generalizable Hand-object Interaction Denoising Via Denoising Diffusion, by Xueyi Liu et al.
Summary of Fine-tuning Enhances Existing Mechanisms: a Case Study on Entity Tracking, by Nikhil Prakash et al.
Summary of Cameras As Rays: Pose Estimation Via Ray Diffusion, by Jason Y. Zhang et al.
Summary of Cliqueparcel: An Approach For Batching Llm Prompts That Jointly Optimizes Efficiency and Faithfulness, by Jiayi Liu et al.
Summary of Multivariate Online Linear Regression For Hierarchical Forecasting, by Massil Hihat et al.
Summary of Text Role Classification in Scientific Charts Using Multimodal Transformers, by Hye Jin Kim et al.
Summary of Federated Neural Graph Databases, by Qi Hu et al.
Summary of Bandits with Abstention Under Expert Advice, by Stephen Pasteris et al.
Summary of Latrend: a Framework For Clustering Longitudinal Data, by Niek Den Teuling et al.
Summary of Colora: Continuous Low-rank Adaptation For Reduced Implicit Neural Modeling Of Parameterized Partial Differential Equations, by Jules Berman and Benjamin Peherstorfer
Summary of Sparse Linear Regression and Lattice Problems, by Aparna Gupte et al.
Summary of Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-accuracy Trade-off, by Futa Waseda et al.
Summary of Bayesian Off-policy Evaluation and Learning For Large Action Spaces, by Imad Aouali et al.
Summary of Q-probe: a Lightweight Approach to Reward Maximization For Language Models, by Kenneth Li et al.
Summary of Visual Hallucinations Of Multi-modal Large Language Models, by Wen Huang et al.
Summary of Using Construction Waste Hauling Trucks’ Gps Data to Classify Earthwork-related Locations: a Chengdu Case Study, by Lei Yu et al.
Summary of Compass: Computational Mapping Of Patient-therapist Alliance Strategies with Language Modeling, by Baihan Lin et al.
Summary of On the Curses Of Future and History in Future-dependent Value Functions For Off-policy Evaluation, by Yuheng Zhang et al.
Summary of Cat-gnn: Enhancing Credit Card Fraud Detection Via Causal Temporal Graph Neural Networks, by Yifan Duan et al.
Summary of Incorporating Expert Rules Into Neural Networks in the Framework Of Concept-based Learning, by Andrei V. Konstantinov and Lev V. Utkin
Summary of Iepile: Unearthing Large-scale Schema-based Information Extraction Corpus, by Honghao Gui et al.
Summary of Clifford-steerable Convolutional Neural Networks, by Maksim Zhdanov et al.
Summary of Back to Basics: Revisiting Reinforce Style Optimization For Learning From Human Feedback in Llms, by Arash Ahmadian et al.
Summary of Large Language Models As Urban Residents: An Llm Agent Framework For Personal Mobility Generation, by Jiawei Wang et al.
Summary of Mape-ppi: Towards Effective and Efficient Protein-protein Interaction Prediction Via Microenvironment-aware Protein Embedding, by Lirong Wu et al.
Summary of Graph Parsing Networks, by Yunchong Song et al.
Summary of Diffusion Model Based Visual Compensation Guidance and Visual Difference Analysis For No-reference Image Quality Assessment, by Zhaoyang Wang et al.
Summary of Learning Developmental Age From 3d Infant Kinetics Using Adaptive Graph Neural Networks, by Daniel Holmberg et al.
Summary of Global Safe Sequential Learning Via Efficient Knowledge Transfer, by Cen-you Li et al.
Summary of Learning An Actionable Discrete Diffusion Policy Via Large-scale Actionless Video Pre-training, by Haoran He et al.
Summary of Robust Training Of Federated Models with Extremely Label Deficiency, by Yonggang Zhang et al.
Summary of Text Me the Data: Generating Ground Pressure Sequence From Textual Descriptions For Har, by Lala Shakti Swarup Ray et al.
Summary of Reimagining Anomalies: What If Anomalies Were Normal?, by Philipp Liznerski et al.
Summary of Data Science with Llms and Interpretable Models, by Sebastian Bordt et al.
Summary of Dyngma: a Robust Approach For Learning Stochastic Differential Equations From Data, by Aiqing Zhu and Qianxiao Li
Summary of Towards Automated Causal Discovery: a Case Study on 5g Telecommunication Data, by Konstantina Biza et al.
Summary of Spanseq: Similarity-based Sequence Data Splitting Method For Improved Development and Assessment Of Deep Learning Projects, by Alfred Ferrer Florensa et al.
Summary of Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap For Prompt-based Large Language Models and Beyond, by Xinyu Wang et al.
Summary of Imbalanced Data Clustering Using Equilibrium K-means, by Yudong He
Summary of Federated Learning on Transcriptomic Data: Model Quality and Performance Trade-offs, by Anika Hannemann et al.
Summary of Ace : Off-policy Actor-critic with Causality-aware Entropy Regularization, by Tianying Ji et al.
Summary of A Framework For Variational Inference Of Lightweight Bayesian Neural Networks with Heteroscedastic Uncertainties, by David J. Schodt et al.
Summary of Omnipred: Language Models As Universal Regressors, by Xingyou Song et al.
Summary of Clce: An Approach to Refining Cross-entropy and Contrastive Learning For Optimized Learning Fusion, by Zijun Long and George Killick and Lipeng Zhuang and Gerardo Aragon-camarasa and Zaiqiao Meng and Richard Mccreadie
Summary of Quaternion Recurrent Neural Network with Real-time Recurrent Learning and Maximum Correntropy Criterion, by Pauline Bourigault et al.
Summary of Copr: Continual Human Preference Learning Via Optimal Policy Regularization, by Han Zhang et al.
Summary of Automated Design and Optimization Of Distributed Filtering Circuits Via Reinforcement Learning, by Peng Gao et al.
Summary of Mentor: Guiding Hierarchical Reinforcement Learning with Human Feedback and Dynamic Distance Constraint, by Xinglin Zhou et al.
Summary of Reconstruction-based Anomaly Localization Via Knowledge-informed Self-training, by Cheng Qian et al.
Summary of A Hierarchical Decomposition For Explaining Ml Performance Discrepancies, by Jean Feng et al.
Summary of Word-sequence Entropy: Towards Uncertainty Estimation in Free-form Medical Question Answering Applications and Beyond, by Zhiyuan Wang et al.
Summary of Structure-agnostic Optimality Of Doubly Robust Learning For Treatment Effect Estimation, by Jikai Jin and Vasilis Syrgkanis
Summary of Take the Bull by the Horns: Hard Sample-reweighted Continual Training Improves Llm Generalization, By Xuxi Chen et al.
Summary of Tinyllava: a Framework Of Small-scale Large Multimodal Models, by Baichuan Zhou et al.
Summary of High-arity Pac Learning Via Exchangeability, by Leonardo N. Coregliano and Maryanthe Malliaris
Summary of Cev-lm: Controlled Edit Vector Language Model For Shaping Natural Language Generations, by Samraj Moorjani et al.
Summary of Hyperfast: Instant Classification For Tabular Data, by David Bonet et al.
Summary of From Large to Small Datasets: Size Generalization For Clustering Algorithm Selection, by Vaggos Chatziafratis et al.
Summary of How Ambiguous Are the Rationales For Natural Language Reasoning? a Simple Approach to Handling Rationale Uncertainty, by Hazel H. Kim
Summary of Dependable Distributed Training Of Compressed Machine Learning Models, by Francesco Malandrino and Giuseppe Di Giacomo and Marco Levorato and Carla Fabiana Chiasserini
Summary of Opentab: Advancing Large Language Models As Open-domain Table Reasoners, by Kezhi Kong et al.