Papers
Interaction Asymmetry: A General Principle for Learning Composable Abstractions
Jack Brady, Julius von Kügelgen, Sebastien Lachapelle et al.
dEBORA: Efficient Bilevel Optimization-based low-Rank Adaptation
Emanuele Zangrando, Sara Venturini, Francesco Rinaldi et al.
Deconstructing What Makes a Good Optimizer for Autoregressive Language Models
Rosie Zhao, Depen Morwani, David Brandfonbrener et al.
Brain-inspired L_p-Convolution benefits large kernels and aligns better with visual cortex
Jea Kwon, Sungjun Lim, Kyungwoo Song et al.
Pangea: A Fully Open Multilingual Multimodal LLM for 39 Languages
Xiang Yue, Yueqi Song, Akari Asai et al.
Can LLMs Really Learn to Translate a Low-Resource Language from One Grammar Book?
Seth Aycock, David Stap, Di Wu et al.
Exponential Topology-enabled Scalable Communication in Multi-agent Reinforcement Learning
Xinran Li, Xiaolu Wang, Chenjia Bai et al.
Aligning Visual Contrastive learning models via Preference Optimization
Amirabbas Afzali, Borna khodabandeh, Ali Rasekh et al.
MANTRA: The Manifold Triangulations Assemblage
Rubén Ballester, Ernst Röell, Daniel Bin Schmid et al.
EqNIO: Subequivariant Neural Inertial Odometry
Royina Karegoudra Jayanth, Yinshuang Xu, Ziyun Wang et al.
Weighted Point Set Embedding for Multimodal Contrastive Learning Toward Optimal Similarity Metric
Toshimitsu Uesaka, Taiji Suzuki, Yuhta Takida et al.
Scaling Instruction-tuned LLMs to Million-token Contexts via Hierarchical Synthetic Data Generation
Linda He, Jue WANG, Maurice Weber et al.
LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation models
Ziqi Lu, Heng Yang, Danfei Xu et al.
Small-to-Large Generalization: Training Data Influences Models Consistently Across Scale
Alaa Khaddaj, Logan Engstrom, Aleksander Madry
Large Language Models Assume People are More Rational than We Really are
Ryan Liu, Jiayi Geng, Joshua Peterson et al.
Can Transformers Do Enumerative Geometry?
Baran Hashemi, Roderic Guigo Corominas, Alessandro Giacchetto
Robustness Auditing for Linear Regression: To Singularity and Beyond
Ittai Rubinstein, Samuel B. Hopkins
MamKO: Mamba-based Koopman operator for modeling and predictive control
ZHAOYANG LI, Minghao Han, Xunyuan Yin
Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression
Michael Crawshaw, Blake Woodworth, Mingrui Liu
Selective Unlearning via Representation Erasure Using Domain Adversarial Training
Nazanin Mohammadi Sepahvand, Eleni Triantafillou, Hugo Larochelle et al.
LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations
Hadas Orgad, Michael Toker, Zorik Gekhman et al.
Scaling up Masked Diffusion Models on Text
Shen Nie, Fengqi Zhu, Chao Du et al.
Union-over-Intersections: Object Detection beyond Winner-Takes-All
Aritra Bhowmik, Pascal Mettes, Martin R. Oswald et al.
AdvWave: Stealthy Adversarial Jailbreak Attack against Large Audio-Language Models
Mintong Kang, Chejian Xu, Bo Li
Efficient Multi-agent Offline Coordination via Diffusion-based Trajectory Stitching
Lei Yuan, Yuqi Bian, Lihe Li et al.