Paper List

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Summary of ‘quis Custodiet Ipsos Custodes?’ Who Will Watch the Watchmen? on Detecting Ai-generated Peer-reviews, by Sandeep Kumar et al.
Summary of Topoc: Topological Deep Learning For Ovarian and Breast Cancer Diagnosis, by Saba Fatema et al.
Summary of Contextwin: Whittle Index Based Mixture-of-experts Neural Model For Restless Bandits Via Deep Rl, by Zhanqiu Guo et al.
Summary of Reconstructive Visual Instruction Tuning, by Haochen Wang et al.
Summary of Structure Of Artificial Neural Networks — Empirical Investigations, by Julian Stier
Summary of Toward General Instruction-following Alignment For Retrieval-augmented Generation, by Guanting Dong et al.
Summary of Mastering Ai: Big Data, Deep Learning, and the Evolution Of Large Language Models — Automl From Basics to State-of-the-art Techniques, by Pohsun Feng et al.
Summary of A Complete Characterization Of Learnability For Stochastic Noisy Bandits, by Steve Hanneke et al.
Summary of The Fragility Of Fairness: Causal Sensitivity Analysis For Fair Machine Learning, by Jake Fawkes et al.
Summary of Bayesian Sheaf Neural Networks, by Patrick Gillespie et al.
Summary of Training Dynamics Of Transformers to Recognize Word Co-occurrence Via Gradient Flow Analysis, by Hongru Yang et al.
Summary of Slim: One-shot Quantization and Sparsity with Low-rank Approximation For Llm Weight Compression, by Mohammad Mozaffari et al.
Summary of Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection For Enhancing Large Language Models, by Jiaxin Zhang et al.
Summary of Use Of What-if Scenarios to Help Explain Artificial Intelligence Models For Neonatal Health, by Abdullah Mamun et al.
Summary of Provable Acceleration Of Nesterov’s Accelerated Gradient For Rectangular Matrix Factorization and Linear Neural Networks, by Zhenghao Xu et al.
Summary of Relu’s Revival: on the Entropic Overload in Normalization-free Large Language Models, by Nandan Kumar Jha and Brandon Reagen
Summary of Multimodal Physical Activity Forecasting in Free-living Clinical Settings: Hunting Opportunities For Just-in-time Interventions, by Abdullah Mamun et al.
Summary of Learning the Bitter Lesson: Empirical Evidence From 20 Years Of Cvpr Proceedings, by Mojtaba Yousefi et al.
Summary of Interpolated-mlps: Controllable Inductive Bias, by Sean Wu et al.
Summary of Learning Orthogonal Multi-index Models: a Fine-grained Information Exponent Analysis, by Yunwei Ren et al.
Summary of Equijump: Protein Dynamics Simulation Via So(3)-equivariant Stochastic Interpolants, by Allan Dos Santos Costa et al.
Summary of Moin: Mixture Of Introvert Experts to Upcycle An Llm, by Ajinkya Tejankar et al.
Summary of Allora: Adaptive Learning Rate Mitigates Lora Fatal Flaws, by Hai Huang et al.
Summary of Camphor: Collaborative Agents For Multi-input Planning and High-order Reasoning on Device, by Yicheng Fu et al.
Summary of Towards the Effect Of Examples on In-context Learning: a Theoretical Case Study, by Pengfei He et al.
Summary of C-adapter: Adapting Deep Classifiers For Efficient Conformal Prediction Sets, by Kangdao Liu et al.
Summary of Mtl-lora: Low-rank Adaptation For Multi-task Learning, by Yaming Yang et al.
Summary of Flatquant: Flatness Matters For Llm Quantization, by Yuxuan Sun et al.
Summary of Skipping Computations in Multimodal Llms, by Mustafa Shukor and Matthieu Cord
Summary of Veritas-nli : Validation and Extraction Of Reliable Information Through Automated Scraping and Natural Language Inference, by Arjun Shah et al.
Summary of From Theory to Practice: Implementing and Evaluating E-fold Cross-validation, by Christopher Mahlich et al.
Summary of Power-softmax: Towards Secure Llm Inference Over Encrypted Data, by Itamar Zimerman et al.
Summary of Distilling Invariant Representations with Dual Augmentation, by Nikolaos Giakoumoglou et al.
Summary of Identification Of Non-causal Graphical Models, by Junyao You et al.
Summary of Actsafe: Active Exploration with Safety Constraints For Reinforcement Learning, by Yarden As et al.
Summary of Bridging Gaps: Federated Multi-view Clustering in Heterogeneous Hybrid Views, by Xinyue Chen et al.
Summary of Dying Clusters Is All You Need — Deep Clustering with An Unknown Number Of Clusters, by Collin Leiber et al.
Summary of Hg2p: Hippocampus-inspired High-reward Graph and Model-free Q-gradient Penalty For Path Planning and Motion Control, by Haoran Wang et al.
Summary of Boosting Deductive Reasoning with Step Signals in Rlhf, by Jialian Li et al.
Summary of Top-erl: Transformer-based Off-policy Episodic Reinforcement Learning, by Ge Li et al.
Summary of Timeseria: An Object-oriented Time Series Processing Library, by Stefano Alberto Russo et al.
Summary of Exploring Space Efficiency in a Tree-based Linear Model For Extreme Multi-label Classification, by He-zhe Lin and Cheng-hung Liu and Chih-jen Lin
Summary of Gets: Ensemble Temperature Scaling For Calibration in Graph Neural Networks, by Dingyi Zhuang et al.
Summary of Data Deletion For Linear Regression with Noisy Sgd, by Zhangjie Xia et al.
Summary of Towards Multi-modal Animal Pose Estimation: a Survey and In-depth Analysis, by Qianyi Deng et al.
Summary of Advanced Gesture Recognition in Autism: Integrating Yolov7, Video Augmentation and Videomae For Video Analysis, by Amit Kumar Singh et al.
Summary of Combinatorial Optimization Of the Coefficient Of Determination, by Marc Harary
Summary of Dare the Extreme: Revisiting Delta-parameter Pruning For Fine-tuned Models, by Wenlong Deng et al.
Summary of Toward Guidance-free Ar Visual Generation Via Condition Contrastive Alignment, by Huayu Chen et al.
Summary of Inference and Verbalization Functions During In-context Learning, by Junyi Tao et al.
Summary of Bangs: Game-theoretic Node Selection For Graph Self-training, by Fangxin Wang et al.
Summary of Fusion Matrix Prompt Enhanced Self-attention Spatial-temporal Interactive Traffic Forecasting Framework, by Mu Liu et al.
Summary of On Divergence Measures For Training Gflownets, by Tiago Da Silva et al.
Summary of Decision-point Guided Safe Policy Improvement, by Abhishek Sharma et al.
Summary of Sera: Self-reviewing and Alignment Of Large Language Models Using Implicit Reward Margins, by Jongwoo Ko et al.
Summary of Looped Relu Mlps May Be All You Need As Practical Programmable Computers, by Yingyu Liang et al.
Summary of Debiasing Vison-language Models with Text-only Training, by Yunfan Yang et al.
Summary of Deep Transfer Learning: Model Framework and Error Analysis, by Yuling Jiao et al.
Summary of Fine-grained Attention I/o Complexity: Comprehensive Analysis For Backward Passes, by Xiaoyu Li et al.
Summary of Mamba4cast: Efficient Zero-shot Time Series Forecasting with State Space Models, by Sathya Kamesh Bhethanabhotla et al.
Summary of Mita: Bridging the Gap Between Model and Data For Test-time Adaptation, by Yige Yuan et al.
Summary of Text Classification Using Graph Convolutional Networks: a Comprehensive Survey, by Syed Mustafa Haider Rizvi et al.
Summary of Many Heads Are Better Than One: Improved Scientific Idea Generation by a Llm-based Multi-agent System, By Haoyang Su et al.
Summary of Learning Algorithms Made Simple, by Noorbakhsh Amiri Golilarz et al.
Summary of Automated Rewards Via Llm-generated Progress Functions, by Vishnu Sarukkai et al.
Summary of Time to Retrain? Detecting Concept Drifts in Machine Learning Systems, by Tri Minh Triet Pham et al.
Summary of Long Range Named Entity Recognition For Marathi Documents, by Pranita Deshmukh et al.
Summary of Scalable Signature-based Distribution Regression Via Reference Sets, by Andrew Alden et al.
Summary of An Efficient Contrastive Unimodal Pretraining Method For Ehr Time Series Data, by Ryan King et al.
Summary of Encoding Agent Trajectories As Representations with Sequence Transformers, by Athanasios Tsiligkaridis et al.
Summary of Scaling Gaussian Processes For Learning Curve Prediction Via Latent Kronecker Structure, by Jihao Andreas Lin et al.
Summary of M3hop-cot: Misogynous Meme Identification with Multimodal Multi-hop Chain-of-thought, by Gitanjali Kumari et al.
Summary of Nach0-pc: Multi-task Language Model with Molecular Point Cloud Encoder, by Maksim Kuznetsov et al.
Summary of Benchmark Inflation: Revealing Llm Performance Gaps Using Retro-holdouts, by Jacob Haimes and Cenny Wenner and Kunvar Thaman and Vassil Tashev and Clement Neo and Esben Kran and Jason Schreiber
Summary of Dfm: Interpolant-free Dual Flow Matching, by Denis Gudovskiy and Tomoyuki Okuno and Yohei Nakata
Summary of Predicting Drug Effects From High-dimensional, Asymmetric Drug Datasets by Using Graph Neural Networks: a Comprehensive Analysis Of Multitarget Drug Effect Prediction, By Avishek Bose and Guojing Cong
Summary of Enhanced Federated Anomaly Detection Through Autoencoders Using Summary Statistics-based Thresholding, by Sofiane Laridi et al.
Summary of Ranking Over Regression For Bayesian Optimization and Molecule Selection, by Gary Tom et al.
Summary of Deeposets: Non-autoregressive In-context Learning Of Supervised Learning Operators, by Shao-ting Chiu et al.
Summary of Hierarchical Uncertainty Estimation For Learning-based Registration in Neuroimaging, by Xiaoling Hu et al.
Summary of Nudging: Inference-time Alignment Via Model Collaboration, by Yu Fei et al.
Summary of Enhancing Multi-step Reasoning Abilities Of Language Models Through Direct Q-function Optimization, by Kaixuan Ji and Guanlin Liu and Ning Dai and Qingping Yang and Renjie Zheng and Zheng Wu and Chen Dun and Quanquan Gu and Lin Yan
Summary of Exact Byte-level Probabilities From Tokenized Language Models For Fim-tasks and Model Ensembles, by Buu Phan et al.
Summary of Alignment Between the Decision-making Logic Of Llms and Human Cognition: a Case Study on Legal Llms, by Lu Chen et al.
Summary of Mechanistic?, by Naomi Saphra and Sarah Wiegreffe
Summary of Diagnosing Robotics Systems Issues with Large Language Models, by Jordis Emilia Herrmann et al.
Summary of Parameter-efficient Fine-tuning Via Selective Discrete Cosine Transform, by Yixian Shen et al.
Summary of Adaptive Active Inference Agents For Heterogeneous and Lifelong Federated Learning, by Anastasiya Danilenka et al.
Summary of Federated Learning For Data Market: Shapley-ucb For Seller Selection and Incentives, by Kongyang Chen et al.
Summary of Compressing High-resolution Data Through Latent Representation Encoding For Downscaling Large-scale Ai Weather Forecast Model, by Qian Liu et al.
Summary of Fsw-gnn: a Bi-lipschitz Wl-equivalent Graph Neural Network, by Yonatan Sverdlov et al.
Summary of Context-aware Adapter Tuning For Few-shot Relation Learning in Knowledge Graphs, by Ran Liu et al.
Summary of Sok: Verifiable Cross-silo Fl, by Aleksei Korneev (cristal et al.
Summary of Cycle: Cross-year Contrastive Learning in Entity-linking, by Pengyu Zhang et al.
Summary of Training on Fake Labels: Mitigating Label Leakage in Split Learning Via Secure Dimension Transformation, by Yukun Jiang et al.
Summary of Tiger: Temporally Improved Graph Entity Linker, by Pengyu Zhang et al.
Summary of Nextlocllm: Next Location Prediction Using Llms, by Shuai Liu et al.
Summary of When Graph Meets Multimodal: Benchmarking and Meditating on Multimodal Attributed Graphs Learning, by Hao Yan et al.
Summary of Mvg-crps: a Robust Loss Function For Multivariate Probabilistic Forecasting, by Vincent Zhihao Zheng et al.
Summary of Enabling Advanced Land Cover Analytics: An Integrated Data Extraction Pipeline For Predictive Modeling with the Dynamic World Dataset, by Victor Radermecker et al.