2025 "foundation models" Papers

$\mathbb{X}$-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs

Vlad Sobal, Mark Ibrahim, Randall Balestriero et al.

Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws

Yiding Jiang, Allan Zhou, Zhili Feng et al.

CONDA: Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts

Jihye Choi, Jayaram Raghuram, Yixuan Li et al.

CPathAgent: An Agent-based Foundation Model for Interpretable High-Resolution Pathology Image Analysis Mimicking Pathologists' Diagnostic Logic

YUXUAN SUN, Yixuan Si, Chenglu Zhu et al.

Dynamic Risk Assessments for Offensive Cybersecurity Agents

Boyi Wei, Benedikt Stroebl, Jiacen Xu et al.

EditAR: Unified Conditional Generation with Autoregressive Models

Jiteng Mu, Nuno Vasconcelos, Xiaolong Wang

Eval3D: Interpretable and Fine-grained Evaluation for 3D Generation

Shivam Duggal, Yushi Hu, Oscar Michel et al.

FaCT: Faithful Concept Traces for Explaining Neural Network Decisions

Amin Parchami-Araghi, Sukrut Rao, Jonas Fischer et al.

Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models

Cong Lu, Shengran Hu, Jeff Clune

KGGen: Extracting Knowledge Graphs from Plain Text with Language Models

Belinda Mo, Kyssen Yu, Joshua Kazdan et al.

PathVQ: Reforming Computational Pathology Foundation Model for Whole Slide Image Analysis via Vector Quantization

Honglin Li, Zhongyi Shui, Yunlong Zhang et al.

Point-SAM: Promptable 3D Segmentation Model for Point Clouds

Yuchen Zhou, Jiayuan Gu, Tung Chiang et al.

PRIMAL: Physically Reactive and Interactive Motor Model for Avatar Learning

Yan Zhang, Yao Feng, Alpár Cseke et al.

Provable Meta-Learning with Low-Rank Adaptations

Jacob Block, Sundararajan Srinivasan, Liam Collins et al.

Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation

Jihyo Kim, Seulbi Lee, Sangheum Hwang

SD-LoRA: Scalable Decoupled Low-Rank Adaptation for Class Incremental Learning

Yichen Wu, Hongming Piao, Long-Kai Huang et al.

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning

Seokju Yun, Seunghye Chae, Dongheon Lee et al.

Steady Progress Beats Stagnation: Mutual Aid of Foundation and Conventional Models in Mixed Domain Semi-Supervised Medical Image Segmentation

Qinghe Ma, Jian Zhang, Zekun Li et al.

Synthetic Series-Symbol Data Generation for Time Series Foundation Models

Wenxuan Wang, Kai Wu, yujian li et al.

The Computer Vision Foundation

This Time is Different: An Observability Perspective on Time Series Foundation Models

Ben Cohen, Emaad Khwaja, Youssef Doubli et al.

THUNDER: Tile-level Histopathology image UNDERstanding benchmark

Pierre Marza, Leo Fillioux, Sofiène Boutaj et al.

Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts

Xiaoming Shi, Shiyu Wang, Yuqi Nie et al.

Towards Physics-informed Spatial Intelligence with Human Priors: An Autonomous Driving Pilot Study

Guanlin (Frank) Wu, Boyan Su, Yang Zhao et al.

TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster

Kanghui Ning, Zijie Pan, Yu Liu et al.

UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection

Zhaopeng Gu, Bingke Zhu, Guibo Zhu et al.