Papers
Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens
Lijie Fan, Tianhong Li, Siyang Qin et al.
Training Free Exponential Context Extension via Cascading KV Cache
Jeffrey Willette, Heejun Lee, Youngwan Lee et al.
MA$^2$E: Addressing Partial Observability in Multi-Agent Reinforcement Learning with Masked Auto-Encoder
Sehyeok Kang, Yongsik Lee, Gahee Kim et al.
Sail into the Headwind: Alignment via Robust Rewards and Dynamic Labels against Reward Hacking
Paria Rashidinejad, Yuandong Tian
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models
Chankyu Lee, Rajarshi Roy, Mengyao Xu et al.
FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking
Changlong Shi, Jinmeng Li, He Zhao et al.
Fair Clustering in the Sliding Window Model
Vincent Cohen-Addad, Shaofeng H.-C. Jiang, Qiaoyuan Yang et al.
MIND over Body: Adaptive Thinking using Dynamic Computation
Mrinal Mathur, Barak A. Pearlmutter, Sergey M. Plis
CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph
Haitao Lin, Guojiang Zhao, Odin Zhang et al.
MaskGCT: Zero-Shot Text-to-Speech with Masked Generative Codec Transformer
Yuancheng Wang, Haoyue Zhan, Liwei Liu et al.
Wayward Concepts In Multimodal Models
Brandon Trabucco, Max A Gurinas, Kyle Doherty et al.
The Journey Matters: Average Parameter Count over Pre-training Unifies Sparse and Dense Scaling Laws
Tian Jin, Ahmed Imtiaz Humayun, Utku Evci et al.
Federated Domain Generalization with Data-free On-server Matching Gradient
Trong Binh Nguyen, Duong Minh Nguyen, Jinsun Park et al.
Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images
Jonathan Brokman, Amit Giloni, Omer Hofman et al.
To Tackle Adversarial Transferability: A Novel Ensemble Training Method with Fourier Transformation
Wanlin Zhang, Weichen Lin, Ruomin Huang et al.
Divide and Translate: Compositional First-Order Logic Translation and Verification for Complex Logical Reasoning
Hyun Ryu, Gyeongman Kim, Hyemin S. Lee et al.
DynAlign: Unsupervised Dynamic Taxonomy Alignment for Cross-Domain Segmentation
Han Sun, Rui Gong, Ismail Nejjar et al.
MotionDreamer: One-to-Many Motion Synthesis with Localized Generative Masked Transformer
Yilin Wang, chuan guo, Yuxuan Mu et al.
Conflict-Averse Gradient Aggregation for Constrained Multi-Objective Reinforcement Learning
Dohyeong Kim, Mineui Hong, Jeongho Park et al.
MRAG-Bench: Vision-Centric Evaluation for Retrieval-Augmented Multimodal Models
Wenbo Hu, Jia-Chen Gu, Zi-Yi Dou et al.
Ferret-UI 2: Mastering Universal User Interface Understanding Across Platforms
Zhangheng LI, Keen You, Haotian Zhang et al.
MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models
Chejian Xu, Jiawei Zhang, Zhaorun Chen et al.
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection
Yingwen Wu, Ruiji Yu, Xinwen Cheng et al.
Flow matching achieves almost minimax optimal convergence
Kenji Fukumizu, Taiji Suzuki, Noboru Isobe et al.
MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning
Haotian Zhang, Mingfei Gao, Zhe Gan et al.