NeurIPS Papers
5,858 papers found • Page 12 of 118
Beyond Components: Singular Vector-Based Interpretability of Transformer Circuits
Areeb Ahmad, Abhinav Joshi, Ashutosh Modi
Beyond Expectations: Quantile-Guided Alignment for Risk-Calibrated Language Models
Xinran Wang, Jin Du, Azal Khan et al.
Beyond Greedy Exits: Improved Early Exit Decisions for Risk Control and Reliability
Divya Jyoti Bajpai, Manjesh Kumar Hanawal
Beyond Higher Rank: Token-wise Input-Output Projections for Efficient Low-Rank Adaptation
Shiwei Li, Xiandi Luo, Haozhao Wang et al.
Beyond Last-Click: An Optimal Mechanism for Ad Attribution
Nan An, Weian Li, Qi Qi et al.
Beyond Least Squares: Uniform Approximation and the Hidden Cost of Misspecification
Davide Maran, Csaba Szepesvari
Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking
Chen-Hao (Lance) Chao, Wei-Fang Sun, Hanwen Liang et al.
BeyondMix: Leveraging Structural Priors and Long-Range Dependencies for Domain-Invariant LiDAR Segmentation
Yujia Chen, Rui Sun, Wangkai Li et al.
Beyond Modality Collapse: Representation Blending for Multimodal Dataset Distillation
xin zhang, Ziruo Zhang, JIAWEI DU et al.
Beyond Node-Centric Modeling: Sketching Signed Networks with Simplicial Complexes
Wei Wu, Xuan Tan, Yan Peng et al.
Beyond Oracle: Verifier-Supervision for Instruction Hierarchy in Reasoning and Instruction-Tuned LLMs
Sian-Yao Huang, Li-Hsien Chang, Che-Yu Lin et al.
Beyond Pairwise Connections: Extracting High-Order Functional Brain Network Structures under Global Constraints
Ling Zhan, Junjie Huang, Xiaoyao Yu et al.
Beyond Prediction: Managing the Repercussions of Machine Learning Applications
Aline Weber, Blossom Metevier, Yuriy Brun et al.
Beyond Random: Automatic Inner-loop Optimization in Dataset Distillation
Muquan Li, Hang Gou, Dongyang Zhang et al.
Beyond Scalar Rewards: An Axiomatic Framework for Lexicographic MDPs
Mehran Shakerinava, Siamak Ravanbakhsh, Adam Oberman
Beyond Scalars: Concept-Based Alignment Analysis in Vision Transformers
Johanna Vielhaben, Dilyara Bareeva, Jim Berend et al.
Beyond Scores: Proximal Diffusion Models
Zhenghan Fang, Mateo Diaz, Sam Buchanan et al.
Beyond Single-Task: Robust Multi-Task Length Generalization for LLMs
Yi Hu, Shijia Kang, Haotong Yang et al.
Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning
Shenzhi Wang, Le Yu, Chang Gao et al.
Beyond the Average: Distributional Causal Inference under Imperfect Compliance
Undral Byambadalai, Tomu Hirata, Tatsushi Oka et al.
Beyond the Seen: Bounded Distribution Estimation for Open-Vocabulary Learning
Xiaomeng Fan, Yuchuan Mao, Zhi Gao et al.
Beyond the Surface: Enhancing LLM-as-a-Judge Alignment with Human via Internal Representations
Peng Lai, Jianjie Zheng, Sijie Cheng et al.
Beyond Token Probes: Hallucination Detection via Activation Tensors with ACT-ViT
Guy Bar-Shalom, Fabrizio Frasca, Yaniv Galron et al.
Beyond Value Functions: Single-Loop Bilevel Optimization under Flatness Conditions
Liuyuan Jiang, Quan Xiao, Lisha Chen et al.
Beyond Verifiable Rewards: Scaling Reinforcement Learning in Language Models to Unverifiable Data
Yunhao Tang, Sid Wang, Lovish Madaan et al.
Bézier Splatting for Fast and Differentiable Vector Graphics Rendering
Xi Liu, Chaoyi Zhou, Nanxuan Zhao et al.
Bi-Directional Communication-Efficient Stochastic FL via Remote Source Generation
Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh et al.
Bidirectional Motion Transformer for Safety-Critical Traffic Scenario Generation
Yuxin Liu, Zhenghao (Mark) Peng, Xuanhao Cui et al.
Bidirectional Representations Augmented Autoregressive Biological Sequence Generation: Application in De Novo Peptide Sequencing
Xiang Zhang, Jiaqi Wei, Zijie Qiu et al.
Bifrost-1: Bridging Multimodal LLMs and Diffusion Models with Patch-level CLIP Latents
Han Lin, Jaemin Cho, Amir Zadeh et al.
BiggerGait: Unlocking Gait Recognition with Layer-wise Representations from Large Vision Models
Dingqiang Ye, Chao Fan, Zhanbo Huang et al.
Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners
Michal Nauman, Marek Cygan, Carmelo Sferrazza et al.
Bigram Subnetworks: Mapping to Next Tokens in Transformer Language Models
Tyler Chang, Benjamin Bergen
BikeBench: A Bicycle Design Benchmark for Generative Models with Objectives and Constraints
Lyle Regenwetter, Yazan Abu Obaideh, Fabien Chiotti et al.
Bi-Level Decision-Focused Causal Learning for Large-Scale Marketing Optimization: Bridging Observational and Experimental Data
Shuli Zhang, Hao Zhou, Jiaqi Zheng et al.
Bi-Level Knowledge Transfer for Multi-Task Multi-Agent Reinforcement Learning
Junkai Zhang, Jinmin He, Yifan Zhang et al.
Bilevel Network Learning via Hierarchically Structured Sparsity
Jiayi Fan, Jingyuan Yang, Shuangge Ma et al.
Bilevel Optimization for Adversarial Learning Problems: Sharpness, Generation, and Beyond
Risheng Liu, Zhu Liu, Weihao Mao et al.
Bilevel ZOFO: Efficient LLM Fine-Tuning and Meta-Training
Reza Shirkavand, Peiran Yu, Qi He et al.
Binary Quadratic Quantization: Beyond First-Order Quantization for Real-Valued Matrix Compression
Kyo Kuroki, Yasuyuki Okoshi, Thiem Van Chu et al.
BioCG: Constrained Generative Modeling for Biochemical Interaction Prediction
Amitay Sicherman, Kira Radinsky
BioCLIP 2: Emergent Properties from Scaling Hierarchical Contrastive Learning
Jianyang Gu, Sam Stevens, Elizabeth Campolongo et al.
Bio-Inspired Image Restoration
Yuning Cui, Wenqi Ren, Alois Knoll
BioOSS: A Bio-Inspired Oscillatory State System with Spatio-Temporal Dynamics
Zhongju Yuan, Geraint Wiggins, Dick Botteldooren
BioReason: Incentivizing Multimodal Biological Reasoning within a DNA-LLM Model
Adibvafa Fallahpour, Andrew Magnuson, Purav Gupta et al.
BIPNN: Learning to Solve Binary Integer Programming via Hypergraph Neural Networks
Sen Bai, Chunqi Yang, Xin Bai et al.
Bipolar Self-attention for Spiking Transformers
Shuai Wang, Malu Zhang, Jingya Wang et al.
Bisecle: Binding and Separation in Continual Learning for Video Language Understanding
Yue Tan, Xiaoqian Hu, Hao Xue et al.
BitMark: Watermarking Bitwise Autoregressive Image Generative Models
Louis Kerner, Michel Meintz, Bihe Zhao et al.
Bits Leaked per Query: Information-Theoretic Bounds for Adversarial Attacks on LLMs
Masahiro Kaneko, Timothy Baldwin