2025 Spotlight Papers
890 papers found • Page 6 of 18
Estimating cognitive biases with attention-aware inverse planning
Sounak Banerjee, Daphne Cornelisse, Deepak Gopinath et al.
EuroSpeech: A Multilingual Speech Corpus
Samuel Pfisterer, Florian Grötschla, Luca Lanzendörfer et al.
Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition
Zheyang Xiong, Jack Cai, John Cooper et al.
Evolutionary Multi-View Classification via Eliminating Individual Fitness Bias
Xinyan Liang, Shuai Li, Qian Guo et al.
Exogenous Isomorphism for Counterfactual Identifiability
Yikang Chen, Dehui du
Exploration via Feature Perturbation in Contextual Bandits
Seouh-won Yi, Min-hwan Oh
Extrapolation by Association: Length Generalization Transfer In Transformers
Ziyang Cai, Nayoung Lee, Avi Schwarzschild et al.
Fair Cooperation in Mixed-Motive Games via Conflict-Aware Gradient Adjustment
Woojun Kim, Katia Sycara
FAPEX: Fractional Amplitude-Phase Expressor for Robust Cross-Subject Seizure Prediction
Ruizhe Zheng, Lingyan Mao, DINGDING HAN et al.
Fast and Fluent Diffusion Language Models via Convolutional Decoding and Rejective Fine-tuning
Yeongbin Seo, Dongha Lee, Jaehyung Kim et al.
Fast Monte Carlo Tree Diffusion: 100× Speedup via Parallel and Sparse Planning
Jaesik Yoon, Hyeonseo Cho, Yoshua Bengio et al.
Fast MRI for All: Bridging Access Gaps by Training without Raw Data
Yasar Utku Alcalar, Merve Gulle, Mehmet Akcakaya
Fast Projection-Free Approach (without Optimization Oracle) for Optimization over Compact Convex Set
Chenghao Liu, Enming Liang, Minghua Chen
Fast-Slow Thinking GRPO for Large Vision-Language Model Reasoning
Wenyi Xiao, Leilei Gan
Fast Training of Large Kernel Models with Delayed Projections
Amirhesam Abedsoltan, Siyuan Ma, Parthe Pandit et al.
Feature Learning beyond the Lazy-Rich Dichotomy: Insights from Representational Geometry
Chi-Ning Chou, Hang Le, Yichen Wang et al.
Feature learning from non-Gaussian inputs: the case of Independent Component Analysis in high dimensions
Fabiola Ricci, Lorenzo Bardone, Sebastian Goldt
Federated Generalised Variational Inference: A Robust Probabilistic Federated Learning Framework
Terje Mildner, Oliver Hamelijnck, Paris Giampouras et al.
FedSSI: Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence
Yichen Li, Yuying Wang, Haozhao Wang et al.
Feedback-Aware MCTS for Goal-Oriented Information Seeking
Harshita Chopra, Chirag Shah
Feynman-Kac Correctors in Diffusion: Annealing, Guidance, and Product of Experts
Marta Skreta, Tara Akhound-Sadegh, Viktor Ohanesian et al.
FFN Fusion: Rethinking Sequential Computation in Large Language Models
Akhiad Bercovich, Mohammed Dabbah, Omri Puny et al.
Fine-grained List-wise Alignment for Generative Medication Recommendation
Chenxiao Fan, Chongming Gao, Wentao Shi et al.
FineGRAIN: Evaluating Failure Modes of Text-to-Image Models with Vision Language Model Judges
Kevin Hayes, Micah Goldblum, Vikash Sehwag et al.
Fisher meets Feynman: score-based variational inference with a product of experts
Diana Cai, Robert Gower, David Blei et al.
Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator
YuXin Li, Felix Dangel, Derek Tam et al.
Fixed-Point RNNs: Interpolating from Diagonal to Dense
Sajad Movahedi, Felix Sarnthein, Nicola Muca Cirone et al.
Fixing It in Post: A Comparative Study of LLM Post-Training Data Quality and Model Performance
Aladin Djuhera, Swanand Kadhe, Syed Zawad et al.
Flash Invariant Point Attention
Andrew Liu, Axel Elaldi, Nicholas Franklin et al.
FlashMD: long-stride, universal prediction of molecular dynamics
Filippo Bigi, Sanggyu Chong, Agustinus Kristiadi et al.
FlashTP: Fused, Sparsity-Aware Tensor Product for Machine Learning Interatomic Potentials
Seung Lee, Hojoon Kim, Yutack Park et al.
Flattening Hierarchies with Policy Bootstrapping
John Zhou, Jonathan Kao
FlexOLMo: Open Language Models for Flexible Data Use
Weijia Shi, Akshita Bhagia, Kevin Farhat et al.
Flopping for FLOPs: Leveraging Equivariance for Computational Efficiency
Georg Bökman, David Nordström, Fredrik Kahl
Flow Density Control: Generative Optimization Beyond Entropy-Regularized Fine-Tuning
Riccardo De Santi, Marin Vlastelica, Ya-Ping Hsieh et al.
FlowDrag: 3D-aware Drag-based Image Editing with Mesh-guided Deformation Vector Flow Fields
Gwanhyeong Koo, Sunjae Yoon, Younghwan Lee et al.
Flow Equivariant Recurrent Neural Networks
Andy Keller
Forecasting in Offline Reinforcement Learning for Non-stationary Environments
Suzan Ece Ada, Georg Martius, Emre Ugur et al.
FP4 All the Way: Fully Quantized Training of Large Language Models
Brian Chmiel, Maxim Fishman, Ron Banner et al.
FPSAttention: Training-Aware FP8 and Sparsity Co-Design for Fast Video Diffusion
Akide Liu, Zeyu Zhang, Zhexin Li et al.
Frame Context Packing and Drift Prevention in Next-Frame-Prediction Video Diffusion Models
Lvmin Zhang, Shengqu Cai, Muyang Li et al.
From Counterfactuals to Trees: Competitive Analysis of Model Extraction Attacks
Awa Khouna, Julien Ferry, Thibaut Vidal
From Language Models over Tokens to Language Models over Characters
Tim Vieira, Benjamin LeBrun, Mario Giulianelli et al.
From Mechanistic Interpretability to Mechanistic Biology: Training, Evaluating, and Interpreting Sparse Autoencoders on Protein Language Models
Etowah Adams, Liam Bai, Minji Lee et al.
From Shortcut to Induction Head: How Data Diversity Shapes Algorithm Selection in Transformers
Ryotaro Kawata, Yujin Song, Alberto Bietti et al.
FUDOKI: Discrete Flow-based Unified Understanding and Generation via Kinetic-Optimal Velocities
Jin Wang, Yao Lai, Aoxue Li et al.
Fully Autonomous Neuromorphic Navigation and Dynamic Obstacle Avoidance
Xiaochen Shang, Pengwei Luo, Xinning Wang et al.
Functional Alignment Can Mislead: Examining Model Stitching
Damian Smith, Harvey Mannering, Antonia Marcu
Functional Scaling Laws in Kernel Regression: Loss Dynamics and Learning Rate Schedules
Binghui Li, Fengling Chen, Zixun Huang et al.
G-Adaptivity: optimised graph-based mesh relocation for finite element methods
James Rowbottom, Georg Maierhofer, Teo Deveney et al.