Papers
11,015 papers found
BEND: Benchmarking DNA Language Models on Biologically Meaningful Tasks
Frederikke Isa Marin, Felix Teufel, Marc Horlacher et al.
Benign Oscillation of Stochastic Gradient Descent with Large Learning Rate
Miao Lu, Beining Wu, Xiaodong Yang et al.
Benign Overfitting and Grokking in ReLU Networks for XOR Cluster Data
Zhiwei Xu, Yutong Wang, Spencer Frei et al.
BENO: Boundary-embedded Neural Operators for Elliptic PDEs
Haixin Wang, Jiaxin LI, Anubhav Dwivedi et al.
BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation
Peng Xu, Wenqi Shao, Mengzhao Chen et al.
Bespoke Solvers for Generative Flow Models
Neta Shaul, Juan Perez, Ricky T. Q. Chen et al.
Better Neural PDE Solvers Through Data-Free Mesh Movers
Peiyan Hu, Yue Wang, Zhi-Ming Ma
Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain
Marcus J. Min, Yangruibo Ding, Luca Buratti et al.
Beyond IID weights: sparse and low-rank deep Neural Networks are also Gaussian Processes
Thiziri Nait Saada, Alireza Naderi, Jared Tanner
Beyond Imitation: Leveraging Fine-grained Quality Signals for Alignment
Geyang Guo, Ranchi Zhao, Tianyi Tang et al.
Beyond Memorization: Violating Privacy via Inference with Large Language Models
Robin Staab, Mark Vero, Mislav Balunovic et al.
Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints
Chaoqi Wang, Yibo Jiang, Chenghao Yang et al.
Beyond Spatio-Temporal Representations: Evolving Fourier Transform for Temporal Graphs
Anson Bastos, Kuldeep Singh, Abhishek Nadgeri et al.
Beyond Stationarity: Convergence Analysis of Stochastic Softmax Policy Gradient Methods
Sara Klein, Simon Weissmann, Leif Döring
Beyond task performance: evaluating and reducing the flaws of large multimodal models with in-context-learning
Mustafa Shukor, Alexandre Rame, Corentin Dancette et al.
Beyond Vanilla Variational Autoencoders: Detecting Posterior Collapse in Conditional and Hierarchical Variational Autoencoders
Hien Dang, Tho Tran Huu, Tan Minh Nguyen et al.
Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness
Bohang Zhang, Jingchu Gai, Yiheng Du et al.
Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies
Xiangyu Liu, Chenghao Deng, Yanchao Sun et al.
Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values
Xiaodan Chen, Xiucheng Li, Bo Liu et al.
Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs
Shashank Gupta, Vaishnavi Shrivastava, Ameet Deshpande et al.
Bidirectional Temporal Diffusion Model for Temporally Consistent Human Animation
Tserendorj Adiya, Jae Shin Yoon, JUNGEUN LEE et al.
Bilevel Optimization under Unbounded Smoothness: A New Algorithm and Convergence Analysis
Jie Hao, Xiaochuan Gong, Mingrui Liu
BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs
Zifeng Wang, Zichen Wang, Balasubramaniam Srinivasan et al.
Blending Imitation and Reinforcement Learning for Robust Policy Improvement
Xuefeng Liu, Takuma Yoneda, Rick Stevens et al.
Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World
Rujie Wu, Xiaojian Ma, Zhenliang Zhang et al.