Papers
Black-Box Forgery Attacks on Semantic Watermarks for Diffusion Models
Andreas Müller, Denis Lukovnikov, Jonas Thietke et al.
BlackboxNLP-2025 MIB Shared Task: Exploring Ensemble Strategies for Circuit Localization Methods
Philipp Mondorf, Mingyang Wang, Sebastian Gerstner et al.
BlackboxNLP-2025 MIB Shared Task: Improving Circuit Faithfulness via Better Edge Selection
Yaniv Nikankin, Dana Arad, Itay Itzhak et al.
BlackboxNLP-2025 MIB Shared Task: IPE: Isolating Path Effects for Improving Latent Circuit Identification
Nicolò Brunello, Andrea Cerutti, Andrea Sassella et al.
Black-Box Optimization with Implicit Constraints for Public Policy
Wenqian Xing, JungHo Lee, Chong Liu et al.
Black-box Optimization with Unknown Constraints via Overparameterized Deep Neural Networks
Dat Phan Trong, Hung The Tran, Sunil Gupta
Black-Box Test-Time Prompt Tuning for Vision-Language Models
Fan'an Meng, Chaoran Cui, Hongjun Dai et al.
Black-Box Uniform Stability for Non-Euclidean Empirical Risk Minimization
Simon Vary, David Martínez-Rubio, Patrick Rebeschini
Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models
Sangmin Woo, Kang Zhou, Yun Zhou et al.
Black Hole-Driven Identity Absorbing in Diffusion Models
Muhammad Shaheryar, Jong Taek Lee, Soon Ki Jung
Black Sheep in the Herd: Playing with Spuriously Correlated Attributes for Vision-Language Recognition
Xinyu Tian, Shu Zou, Zhaoyuan Yang et al.
Black Swan: Abductive and Defeasible Video Reasoning in Unpredictable Events
Aditya Chinchure, Sahithya Ravi, Raymond Ng et al.
Blackwell’s Approachability with Approximation Algorithms
Dan Garber, Massalha Mhna
BLADE: Enhancing Black-Box Large Language Models with Small Domain-Specific Models
Haitao Li, Qingyao Ai, Jia Chen et al.
BLADE: Single-view Body Mesh Estimation through Accurate Depth Estimation
Shengze Wang, Jiefeng Li, Tianye Li et al.
Blaze3DM: Integrating Triplane Representation with Diffusion for Solving 3D Inverse Problems in Medical Imaging
Jia He, Bonan Li, Ge Yang et al.
BLCU-ICALL at BEA 2025 Shared Task: Multi-Strategy Evaluation of AI Tutors
Jiyuan An, Xiang Fu, Bo Liu et al.
BLEND: Behavior-guided Neural Population Dynamics Modeling via Privileged Knowledge Distillation
Zhengrui Guo, Fangxu Zhou, Wei Wu et al.
Blended Point Cloud Diffusion for Localized Text-guided Shape Editing
Etai Sella, Noam Atia, Ron Mokady et al.
BlenderGym: Benchmarking Foundational Model Systems for Graphics Editing
Yunqi Gu, Ian Huang, Jihyeon Je et al.
BlendRL: A Framework for Merging Symbolic and Neural Policy Learning
Hikaru Shindo, Quentin Delfosse, Devendra Singh Dhami et al.
Blend the Separated: Mixture of Synergistic Experts for Data-Scarcity Drug-Target Interaction Prediction
Xinlong Zhai, Chunchen Wang, Ruijia Wang et al.
Blessing of Multilinguality: A Systematic Analysis of Multilingual In-Context Learning
Yilei Tu, Andrew Xue, Freda Shi
Blind2Sound: Self-Supervised Image Denoising without Residual Noise
Jiazheng Liu, Zejin Wang, Bohao Chen et al.