Paper List

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Summary of Forecasting Smog Clouds with Deep Learning, by Valentijn Oldenburg et al.
Summary of Erasing Conceptual Knowledge From Language Models, by Rohit Gandikota et al.
Summary of Interpreting and Editing Vision-language Representations to Mitigate Hallucinations, by Nick Jiang et al.
Summary of Agents’ Room: Narrative Generation Through Multi-step Collaboration, by Fantine Huot et al.
Summary of A Prospect-theoretic Policy Gradient Algorithm For Behavioral Alignment in Reinforcement Learning, by Olivier Lepel et al.
Summary of Logra-med: Long Context Multi-graph Alignment For Medical Vision-language Model, by Duy M. H. Nguyen et al.
Summary of Achieving Fairness in Predictive Process Analytics Via Adversarial Learning (extended Version), by Massimiliano De Leoni et al.
Summary of Indicsenteval: How Effectively Do Multilingual Transformer Models Encode Linguistic Properties For Indic Languages?, by Akhilesh Aravapalli et al.
Summary of Inverse Entropic Optimal Transport Solves Semi-supervised Learning Via Data Likelihood Maximization, by Mikhail Persiianov et al.
Summary of Diss-l-ect: Dissecting Graph Data with Local Euler Characteristic Transforms, by Julius Von Rohrscheidt and Bastian Rieck
Summary of Labor Migration Modeling Through Large-scale Job Query Data, by Zhuoning Guo et al.
Summary of Immunogenicity Prediction with Dual Attention Enables Vaccine Target Selection, by Song Li et al.
Summary of Cax: Cellular Automata Accelerated in Jax, by Maxence Faldor et al.
Summary of Deconstructing Recurrence, Attention, and Gating: Investigating the Transferability Of Transformers and Gated Recurrent Neural Networks in Forecasting Of Dynamical Systems, by Hunter S. Heidenreich et al.
Summary of Scalable Simulation-free Entropic Unbalanced Optimal Transport, by Jaemoo Choi et al.
Summary of Gud: Generation with Unified Diffusion, by Mathis Gerdes et al.
Summary of How to Train Long-context Language Models (effectively), by Tianyu Gao et al.
Summary of Fan: Fourier Analysis Networks, by Yihong Dong et al.
Summary of Culturalbench: a Robust, Diverse and Challenging Benchmark on Measuring the (lack Of) Cultural Knowledge Of Llms, by Yu Ying Chiu et al.
Summary of Highly Adaptive Ridge, by Alejandro Schuler et al.
Summary of Understanding and Mitigating Miscalibration in Prompt Tuning For Vision-language Models, by Shuoyuan Wang et al.
Summary of Dailydilemmas: Revealing Value Preferences Of Llms with Quandaries Of Daily Life, by Yu Ying Chiu et al.
Summary of Lie Algebra Canonicalization: Equivariant Neural Operators Under Arbitrary Lie Groups, by Zakhar Shumaylov et al.
Summary of Extracting Training Data From Unconditional Diffusion Models, by Yunhao Chen et al.
Summary of Personalized Federated Learning For Generative Ai-assisted Semantic Communications, by Yubo Peng et al.
Summary of Meta-models: An Architecture For Decoding Llm Behaviors Through Interpreted Embeddings and Natural Language, by Anthony Costarelli et al.
Summary of Stochastic Variance-reduced Gaussian Variational Inference on the Bures-wasserstein Manifold, by Hoang Phuc Hau Luu et al.
Summary of Online Convex Optimization with a Separation Oracle, by Zakaria Mhammedi
Summary of Efficient Learning Of Differential Network in Multi-source Non-paranormal Graphical Models, by Mojtaba Nikahd and Seyed Abolfazl Motahari
Summary of Dynamic Gradient Alignment For Online Data Mixing, by Simin Fan et al.
Summary of Dual Active Learning For Reinforcement Learning From Human Feedback, by Pangpang Liu et al.
Summary of Minimax Group Fairness in Strategic Classification, by Emily Diana et al.
Summary of Saflex: Self-adaptive Augmentation Via Feature Label Extrapolation, by Mucong Ding et al.
Summary of Semantic-guided Rl For Interpretable Feature Engineering, by Mohamed Bouadi et al.
Summary of Local Flow Matching Generative Models, by Chen Xu et al.
Summary of Fair Decentralized Learning, by Sayan Biswas et al.
Summary of Colacare: Enhancing Electronic Health Record Modeling Through Large Language Model-driven Multi-agent Collaboration, by Zixiang Wang et al.
Summary of The Benefit Of Being Bayesian in Online Conformal Prediction, by Zhiyu Zhang et al.
Summary of Deep Learning-based Prediction Of Suspension Dynamics Performance in Multi-axle Vehicles, by Kai Chun Lin and Bo-yi Lin
Summary of Ic3m: In-car Multimodal Multi-object Monitoring For Abnormal Status Of Both Driver and Passengers, by Zihan Fang et al.
Summary of Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning Via Equivariance, by Joshua Mcclellan et al.
Summary of Three-in-one: Fast and Accurate Transducer For Hybrid-autoregressive Asr, by Hainan Xu et al.
Summary of Beyond Squared Error: Exploring Loss Design For Enhanced Training Of Generative Flow Networks, by Rui Hu et al.
Summary of Convergence Of Score-based Discrete Diffusion Models: a Discrete-time Analysis, by Zikun Zhang et al.
Summary of Automated Tone Transcription and Clustering with Tone2vec, by Yi Yang et al.
Summary of Listening to the Wise Few: Select-and-copy Attention Heads For Multiple-choice Qa, by Eduard Tulchinskii et al.
Summary of Data Optimisation Of Machine Learning Models For Smart Irrigation in Urban Parks, by Nasser Ghadiri et al.
Summary of Relchanet: Neural Network Feature Selection Using Relative Change Scores, by Felix Zimmer
Summary of Simplicity Bias and Optimization Threshold in Two-layer Relu Networks, by Etienne Boursier and Nicolas Flammarion
Summary of Distributed Learning with Discretely Observed Functional Data, by Jiading Liu and Lei Shi
Summary of Sageattention: Accurate 8-bit Attention For Plug-and-play Inference Acceleration, by Jintao Zhang et al.
Summary of Unveiling Ai’s Blind Spots: An Oracle For In-domain, Out-of-domain, and Adversarial Errors, by Shuangpeng Han et al.
Summary of Metametrics: Calibrating Metrics For Generation Tasks Using Human Preferences, by Genta Indra Winata et al.
Summary of Bissl: a Bilevel Optimization Framework For Enhancing the Alignment Between Self-supervised Pre-training and Downstream Fine-tuning, by Gustav Wagner Zakarias et al.
Summary of Parameter Competition Balancing For Model Merging, by Guodong Du et al.
Summary of Online Multi-label Classification Under Noisy and Changing Label Distribution, by Yizhang Zou et al.
Summary of An Online Feasible Point Method For Benign Generalized Nash Equilibrium Problems, by Sarah Sachs et al.
Summary of Menakbert — Hebrew Diacriticizer, by Ido Cohen et al.
Summary of Eliminating Oversaturation and Artifacts Of High Guidance Scales in Diffusion Models, by Seyedmorteza Sadat et al.
Summary of Predictive Attractor Models, by Ramy Mounir and Sudeep Sarkar
Summary of Better Call Saul: Fluent and Consistent Language Model Editing with Generation Regularization, by Mingyang Wang et al.
Summary of Learning K-u-net with Constant Complexity: An Application to Time Series Forecasting, by Jiang You et al.
Summary of Clinnova Federated Learning Proof Of Concept: Key Takeaways From a Cross-border Collaboration, by Julia Alekseenko et al.
Summary of Embedllm: Learning Compact Representations Of Large Language Models, by Richard Zhuang et al.
Summary of Doubly Optimal Policy Evaluation For Reinforcement Learning, by Shuze Liu et al.
Summary of Mitigating Downstream Model Risks Via Model Provenance, by Keyu Wang et al.
Summary of C-morl: Multi-objective Reinforcement Learning Through Efficient Discovery Of Pareto Front, by Ruohong Liu et al.
Summary of Seal: Semantic-augmented Imitation Learning Via Language Model, by Chengyang Gu et al.
Summary of Robust Weight Initialization For Tanh Neural Networks with Fixed Point Analysis, by Hyunwoo Lee et al.
Summary of Pfguard: a Generative Framework with Privacy and Fairness Safeguards, by Soyeon Kim et al.
Summary of Theoretical Insights Into Fine-tuning Attention Mechanism: Generalization and Optimization, by Xinhao Yao et al.
Summary of Fedscalar: a Communication Efficient Federated Learning, by M. Rostami et al.
Summary of End-to-end Driving in High-interaction Traffic Scenarios with Reinforcement Learning, by Yueyuan Li et al.
Summary of Structural-entropy-based Sample Selection For Efficient and Effective Learning, by Tianchi Xie et al.
Summary of Unsupervised Meta-learning Via Dynamic Head and Heterogeneous Task Construction For Few-shot Classification, by Yunchuan Guan et al.
Summary of Best-of-both-worlds Policy Optimization For Cmdps with Bandit Feedback, by Francesco Emanuele Stradi et al.
Summary of Optimal Strong Regret and Violation in Constrained Mdps Via Policy Optimization, by Francesco Emanuele Stradi et al.
Summary of Perfect Counterfactuals in Imperfect Worlds: Modelling Noisy Implementation Of Actions in Sequential Algorithmic Recourse, by Yueqing Xuan et al.
Summary of On Lai’s Upper Confidence Bound in Multi-armed Bandits, by Huachen Ren and Cun-hui Zhang
Summary of Density Based Spatial Clustering Of Lines Via Probabilistic Generation Of Neighbourhood, by Akanksha Das et al.
Summary of Efficient Second-order Neural Network Optimization Via Adaptive Trust Region Methods, by James Vo
Summary of Ctarr: a Fast and Robust Method For Identifying Anatomical Regions on Ct Images Via Atlas Registration, by Thomas Buddenkotte et al.
Summary of Post-edits Are Preferences Too, by Nathaniel Berger and Miriam Exel and Matthias Huck and Stefan Riezler
Summary of Universality in Transfer Learning For Linear Models, by Reza Ghane et al.
Summary of Training Nonlinear Transformers For Chain-of-thought Inference: a Theoretical Generalization Analysis, by Hongkang Li et al.
Summary of Channel-aware Contrastive Conditional Diffusion For Multivariate Probabilistic Time Series Forecasting, by Siyang Li et al.
Summary of Abstract Reward Processes: Leveraging State Abstraction For Consistent Off-policy Evaluation, by Shreyas Chaudhari et al.
Summary of Efficiently Deploying Llms with Controlled Risk, by Michael J. Zellinger and Matt Thomson
Summary of Towards Better Generalization: Weight Decay Induces Low-rank Bias For Neural Networks, by Ke Chen et al.
Summary of Hatformer: Historic Handwritten Arabic Text Recognition with Transformers, by Adrian Chan et al.
Summary of Badcm: Invisible Backdoor Attack Against Cross-modal Learning, by Zheng Zhang et al.
Summary of Codejudge: Evaluating Code Generation with Large Language Models, by Weixi Tong et al.
Summary of Posix: a Prompt Sensitivity Index For Large Language Models, by Anwoy Chatterjee et al.
Summary of Agent-oriented Planning in Multi-agent Systems, by Ao Li et al.
Summary of Backtime: Backdoor Attacks on Multivariate Time Series Forecasting, by Xiao Lin et al.
Summary of G2t-llm: Graph-to-tree Text Encoding For Molecule Generation with Fine-tuned Large Language Models, by Zhaoning Yu et al.
Summary of Beyond Bradley-terry Models: a General Preference Model For Language Model Alignment, by Yifan Zhang et al.
Summary of Deep Koopman-layered Model with Universal Property Based on Toeplitz Matrices, by Yuka Hashimoto and Tomoharu Iwata
Summary of Revisiting Prefix-tuning: Statistical Benefits Of Reparameterization Among Prompts, by Minh Le et al.
Summary of Fast Nonparametric Feature Selection with Error Control Using Integrated Path Stability Selection, by Omar Melikechi et al.