Papers
11,951 papers found
Bilinear MLPs enable weight-based mechanistic interpretability
Michael T Pearce, Thomas Dooms, Alice Rigg et al.
BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models
Xingyu Zheng, Xianglong Liu, Haotong Qin et al.
Binary Losses for Density Ratio Estimation
Werner Zellinger
BingoGuard: LLM Content Moderation Tools with Risk Levels
Fan Yin, Philippe Laban, XIANGYU PENG et al.
BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments
Yusuf H Roohani, Andrew H. Lee, Qian Huang et al.
Biologically Constrained Barrel Cortex Model Integrates Whisker Inputs and Replicates Key Brain Network Dynamics
Tianfang Zhu, Dongli Hu, Jiandong Zhou et al.
Biologically Plausible Brain Graph Transformer
Ciyuan Peng, Yuelong Huang, Qichao Dong et al.
Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences
Niklas Schmidinger, Lisa Schneckenreiter, Philipp Seidl et al.
BIRD: A Trustworthy Bayesian Inference Framework for Large Language Models
Yu Feng, Ben Zhou, Weidong Lin et al.
BirdSet: A Large-Scale Dataset for Audio Classification in Avian Bioacoustics
Lukas Rauch, Raphael Schwinger, Moritz Wirth et al.
Bisimulation Metric for Model Predictive Control
Yutaka Shimizu, Masayoshi Tomizuka
BitStack: Any-Size Compression of Large Language Models in Variable Memory Environments
Xinghao Wang, Pengyu Wang, Bo Wang et al.
Black-Box Detection of Language Model Watermarks
Thibaud Gloaguen, Nikola Jovanović, Robin Staab et al.
Black Sheep in the Herd: Playing with Spuriously Correlated Attributes for Vision-Language Recognition
Xinyu Tian, Shu Zou, Zhaoyuan Yang et al.
BLEND: Behavior-guided Neural Population Dynamics Modeling via Privileged Knowledge Distillation
Zhengrui Guo, Fangxu Zhou, Wei Wu et al.
BlendRL: A Framework for Merging Symbolic and Neural Policy Learning
Hikaru Shindo, Quentin Delfosse, Devendra Singh Dhami et al.
Block-Attention for Efficient Prefilling
Dongyang Ma, Yan Wang, Tian Lan
Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models
Marianne Arriola, Aaron Gokaslan, Justin T Chiu et al.
Block Verification Accelerates Speculative Decoding
Ziteng Sun, Uri Mendlovic, Yaniv Leviathan et al.
BlueSuffix: Reinforced Blue Teaming for Vision-Language Models Against Jailbreak Attacks
Yunhan Zhao, Xiang Zheng, Lin Luo et al.
BodyGen: Advancing Towards Efficient Embodiment Co-Design
Haofei Lu, Zhe Wu, Junliang Xing et al.
BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL
Yu Heng Hung, Kai-Jie Lin, Yu-Heng Lin et al.
Boltzmann-Aligned Inverse Folding Model as a Predictor of Mutational Effects on Protein-Protein Interactions
Xiaoran Jiao, Weian Mao, Wengong Jin et al.
Boltzmann priors for Implicit Transfer Operators
Juan Viguera Diez, Mathias Jacob Schreiner, Ola Engkvist et al.
Boltzmann Semantic Score: A Semantic Metric for Evaluating Large Vision Models Using Large Language Models
Ali Khajegili Mirabadi, Katherine Rich, Hossein Farahani et al.