Paper List

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Summary of Wikicontradict: a Benchmark For Evaluating Llms on Real-world Knowledge Conflicts From Wikipedia, by Yufang Hou et al.
Summary of Can Low-rank Knowledge Distillation in Llms Be Useful For Microelectronic Reasoning?, by Nirjhor Rouf et al.
Summary of Optimizing Quantile-based Trading Strategies in Electricity Arbitrage, by Ciaran O’connor et al.
Summary of An Evidential Time-to-event Prediction Model Based on Gaussian Random Fuzzy Numbers, by Ling Huang et al.
Summary of Approximately Equivariant Neural Processes, by Matthew Ashman et al.
Summary of The Surprising Benefits Of Base Rate Neglect in Robust Aggregation, by Yuqing Kong et al.
Summary of Draco: Decentralized Asynchronous Federated Learning Over Row-stochastic Wireless Networks, by Eunjeong Jeong et al.
Summary of Scalable Unsupervised Alignment Of General Metric and Non-metric Structures, by Sanketh Vedula et al.
Summary of In-context In-context Learning with Transformer Neural Processes, by Matthew Ashman et al.
Summary of Self-play with Execution Feedback: Improving Instruction-following Capabilities Of Large Language Models, by Guanting Dong et al.
Summary of One Fits All: Learning Fair Graph Neural Networks For Various Sensitive Attributes, by Yuchang Zhu et al.
Summary of Modsec-learn: Boosting Modsecurity with Machine Learning, by Christian Scano et al.
Summary of Solarcast-ml: Per Node Graphcast Extension For Solar Energy Production, by Cale Colony et al.
Summary of Standardness Clouds Meaning: a Position Regarding the Informed Usage Of Standard Datasets, by Tim Cech et al.
Summary of Graphkan: Enhancing Feature Extraction with Graph Kolmogorov Arnold Networks, by Fan Zhang et al.
Summary of Bayes’ Capacity As a Measure For Reconstruction Attacks in Federated Learning, by Sayan Biswas et al.
Summary of Generative Modeling by Minimizing the Wasserstein-2 Loss, By Yu-jui Huang et al.
Summary of Improving Visual Commonsense in Language Models Via Multiple Image Generation, by Guy Yariv et al.
Summary of Instructrag: Instructing Retrieval-augmented Generation Via Self-synthesized Rationales, by Zhepei Wei et al.
Summary of Controlling Forgetting with Test-time Data in Continual Learning, by Vaibhav Singh et al.
Summary of Improving Gflownets with Monte Carlo Tree Search, by Nikita Morozov et al.
Summary of Infinite-horizon Reinforcement Learning with Multinomial Logistic Function Approximation, by Jaehyun Park et al.
Summary of Hitchhiker’s Guide on Energy-based Models: a Comprehensive Review on the Relation with Other Generative Models, Sampling and Statistical Physics, by Davide Carbone (1 and 2) ((1) Dipartimento Di Scienze Matematiche et al.
Summary of Gsr-bench: a Benchmark For Grounded Spatial Reasoning Evaluation Via Multimodal Llms, by Navid Rajabi et al.
Summary of Reasoning with Trees: Interpreting Cnns Using Hierarchies, by Caroline Mazini Rodrigues (ligm et al.
Summary of Machine Learning Applications Of Quantum Computing: a Review, by Thien Nguyen et al.
Summary of Molecule Graph Networks with Many-body Equivariant Interactions, by Zetian Mao et al.
Summary of Wonderbread: a Benchmark For Evaluating Multimodal Foundation Models on Business Process Management Tasks, by Michael Wornow et al.
Summary of Lightgbm Robust Optimization Algorithm Based on Topological Data Analysis, by Han Yang et al.
Summary of On Rough Mereology and Vc-dimension in Treatment Of Decision Prediction For Open World Decision Systems, by Lech T. Polkowski
Summary of Unlearning or Obfuscating? Jogging the Memory Of Unlearned Llms Via Benign Relearning, by Shengyuan Hu et al.
Summary of A Resource-adaptive Approach For Federated Learning Under Resource-constrained Environments, by Ruirui Zhang et al.
Summary of Visualrwkv: Exploring Recurrent Neural Networks For Visual Language Models, by Haowen Hou and Peigen Zeng and Fei Ma and Fei Richard Yu
Summary of Improving Zero-shot Cross-lingual Transfer Via Progressive Code-switching, by Zhuoran Li et al.
Summary of Effective Edge-wise Representation Learning in Edge-attributed Bipartite Graphs, by Hewen Wang et al.
Summary of Efficient Offline Reinforcement Learning: the Critic Is Critical, by Adam Jelley et al.
Summary of Ppt-gnn: a Practical Pre-trained Spatio-temporal Graph Neural Network For Network Security, by Louis Van Langendonck et al.
Summary of Composite Concept Extraction Through Backdooring, by Banibrata Ghosh et al.
Summary of Towards a Multimodal Framework For Remote Sensing Image Change Retrieval and Captioning, by Roger Ferrod and Luigi Di Caro and Dino Ienco
Summary of Coupled Input-output Dimension Reduction: Application to Goal-oriented Bayesian Experimental Design and Global Sensitivity Analysis, by Qiao Chen et al.
Summary of Certification For Differentially Private Prediction in Gradient-based Training, by Matthew Wicker et al.
Summary of Encoder Vs Decoder: Comparative Analysis Of Encoder and Decoder Language Models on Multilingual Nlu Tasks, by Dan Saattrup Nielsen et al.
Summary of Boa: Attention-aware Post-training Quantization Without Backpropagation, by Junhan Kim et al.
Summary of Efficient Sharpness-aware Minimization For Molecular Graph Transformer Models, by Yili Wang et al.
Summary of Bayesian Circular Regression with Von Mises Quasi-processes, by Yarden Cohen et al.
Summary of Appl: a Prompt Programming Language For Harmonious Integration Of Programs and Large Language Model Prompts, by Honghua Dong et al.
Summary of Enhancing Supply Chain Security with Automated Machine Learning, by Haibo Wang et al.
Summary of Biomedical Visual Instruction Tuning with Clinician Preference Alignment, by Hejie Cui et al.
Summary of Antibodyflow: Normalizing Flow Model For Designing Antibody Complementarity-determining Regions, by Bohao Xu et al.
Summary of Communication-efficient and Privacy-preserving Decentralized Meta-learning, by Hansi Yang et al.
Summary of Sparse High Rank Adapters, by Kartikeya Bhardwaj et al.
Summary of Boosting Consistency in Dual Training For Long-tailed Semi-supervised Learning, by Kai Gan et al.
Summary of Synthetic Context Generation For Question Generation, by Naiming Liu et al.
Summary of Presto: Progressive Pretraining Enhances Synthetic Chemistry Outcomes, by He Cao and Yanjun Shao and Zhiyuan Liu and Zijing Liu and Xiangru Tang and Yuan Yao and Yu Li
Summary of Toward Structure Fairness in Dynamic Graph Embedding: a Trend-aware Dual Debiasing Approach, by Yicong Li et al.
Summary of Robgc: Towards Robust Graph Condensation, by Xinyi Gao et al.
Summary of Self-explainable Temporal Graph Networks Based on Graph Information Bottleneck, by Sangwoo Seo et al.
Summary of Combining Optimal Transport and Embedding-based Approaches For More Expressiveness in Unsupervised Graph Alignment, by Songyang Chen et al.
Summary of Communication-efficient Federated Knowledge Graph Embedding with Entity-wise Top-k Sparsification, by Xiaoxiong Zhang et al.
Summary of Agsoa:graph Neural Network Targeted Attack Based on Average Gradient and Structure Optimization, by Yang Chen and Bin Zhou
Summary of Probing the Emergence Of Cross-lingual Alignment During Llm Training, by Hetong Wang et al.
Summary of Towards Robust Evaluation: a Comprehensive Taxonomy Of Datasets and Metrics For Open Domain Question Answering in the Era Of Large Language Models, by Akchay Srivastava et al.
Summary of Langtopo: Aligning Language Descriptions Of Graphs with Tokenized Topological Modeling, by Zhong Guan et al.
Summary of Skin Cancer Images Classification Using Transfer Learning Techniques, by Md Sirajul Islam et al.
Summary of Additive Regularization Schedule For Neural Architecture Search, by Mark Potanin and Kirill Vayser and Vadim Strijov
Summary of Data Plagiarism Index: Characterizing the Privacy Risk Of Data-copying in Tabular Generative Models, by Joshua Ward et al.
Summary of Abnet: Attention Barriernet For Safe and Scalable Robot Learning, by Wei Xiao and Tsun-hsuan Wang and Daniela Rus
Summary of Deriving Hematological Disease Classes Using Fuzzy Logic and Expert Knowledge: a Comprehensive Machine Learning Approach with Cbc Parameters, by Salem Ameen et al.
Summary of Sharp Detection Of Low-dimensional Structure in Probability Measures Via Dimensional Logarithmic Sobolev Inequalities, by Matthew T.c. Li et al.
Summary of Accelerated Stochastic Min-max Optimization Based on Bias-corrected Momentum, by Haoyuan Cai et al.
Summary of Scale-translation Equivariant Network For Oceanic Internal Solitary Wave Localization, by Zhang Wan et al.
Summary of Maskpure: Improving Defense Against Text Adversaries with Stochastic Purification, by Harrison Gietz et al.
Summary of Informed Along the Road: Roadway Capacity Driven Graph Convolution Network For Network-wide Traffic Prediction, by Zilin Bian et al.
Summary of Noisec: Harnessing Noise For Security Against Adversarial and Backdoor Attacks, by Md Hasan Shahriar et al.
Summary of Sampling 3d Gaussian Scenes in Seconds with Latent Diffusion Models, by Paul Henderson et al.
Summary of Exploring and Benchmarking the Planning Capabilities Of Large Language Models, by Bernd Bohnet et al.
Summary of On Instabilities in Neural Network-based Physics Simulators, by Daniel Floryan
Summary of M3t: Multi-modal Medical Transformer to Bridge Clinical Context with Visual Insights For Retinal Image Medical Description Generation, by Nagur Shareef Shaik and Teja Krishna Cherukuri and Dong Hye Ye
Summary of Guided Context Gating: Learning to Leverage Salient Lesions in Retinal Fundus Images, by Teja Krishna Cherukuri and Nagur Shareef Shaik and Dong Hye Ye
Summary of A Generic Method For Fine-grained Category Discovery in Natural Language Texts, by Chang Tian et al.
Summary of Advancing Retail Data Science: Comprehensive Evaluation Of Synthetic Data, by Yu Xia et al.
Summary of Patholm: Identifying Pathogenicity From the Dna Sequence Through the Genome Foundation Model, by Sajib Acharjee Dip et al.
Summary of Conditional Score-based Diffusion Models For Solving Inverse Problems in Mechanics, by Agnimitra Dasgupta and Harisankar Ramaswamy and Javier Murgoitio-esandi and Ken Foo and Runze Li and Qifa Zhou and Brendan Kennedy and Assad Oberai
Summary of Javabench: a Benchmark Of Object-oriented Code Generation For Evaluating Large Language Models, by Jialun Cao and Zhiyong Chen and Jiarong Wu and Shing-chi Cheung and Chang Xu
Summary of Meent: Differentiable Electromagnetic Simulator For Machine Learning, by Yongha Kim et al.
Summary of Pufferlib: Making Reinforcement Learning Libraries and Environments Play Nice, by Joseph Suarez
Summary of Reconciling Kaplan and Chinchilla Scaling Laws, by Tim Pearce et al.
Summary of Rating Multi-modal Time-series Forecasting Models (mm-tsfm) For Robustness Through a Causal Lens, by Kausik Lakkaraju et al.
Summary of Scalable Training Of Trustworthy and Energy-efficient Predictive Graph Foundation Models For Atomistic Materials Modeling: a Case Study with Hydragnn, by Massimiliano Lupo Pasini et al.
Summary of Human-level Molecular Optimization Driven by Mol-gene Evolution, By Jiebin Fang (1 and 2) et al.
Summary of The Promise Of Analog Deep Learning: Recent Advances, Challenges and Opportunities, by Aditya Datar et al.
Summary of T-jepa: a Joint-embedding Predictive Architecture For Trajectory Similarity Computation, by Lihuan Li et al.
Summary of The Significance Of Latent Data Divergence in Predicting System Degradation, by Miguel Fernandes et al.
Summary of How Out-of-distribution Detection Learning Theory Enhances Transformer: Learnability and Reliability, by Yijin Zhou et al.
Summary of Opening the Black Box: Predicting the Trainability Of Deep Neural Networks with Reconstruction Entropy, by Yanick Thurn et al.
Summary of Brain-inspired Spike Echo State Network Dynamics For Aero-engine Intelligent Fault Prediction, by Mo-ran Liu and Tao Sun and Xi-ming Sun
Summary of Understanding Active Learning Of Molecular Docking and Its Applications, by Jeonghyeon Kim et al.
Summary of Windowmixer: Intra-window and Inter-window Modeling For Time Series Forecasting, by Quangao Liu et al.
Summary of Interpretable Cascading Mixture-of-experts For Urban Traffic Congestion Prediction, by Wenzhao Jiang et al.
Summary of Evaluating the Generalization Ability Of Quantized Llms: Benchmark, Analysis, and Toolbox, by Yijun Liu et al.