Papers
20,003 papers found
A Catalyst Framework for the Quantum Linear System Problem via the Proximal Point Algorithm
Junhyung Lyle Kim, Nai-Hui Chia, Anastasios Kyrillidis
A Causal Framework to Measure and Mitigate Non-binary Treatment Discrimination
Ayan Majumdar, Deborah D. Kanubala, Kavya Gupta et al.
A Causal Target for Learning to Defer Under Hidden Confounding
Yanmin Li, Lihua Liu, Xin Wang et al.
Accelerating Controllable Generation via Hybrid-grained Cache
Lin Liu, Huixia Ben, Shuo Wang et al.
Accelerating LLM Inference Throughput via Asynchronous KV Cache Prefetching
Yanhao Dong, Yubo Miao, Weinan Li et al.
AccKV: Towards Efficient Audio-Video LLMs Inference via Adaptive-Focusing and Cross-Calibration KV Cache Optimization
Zhonghua Jiang, Kui Chen, Kunxi Li et al.
Accommodate Knowledge Conflicts in Retrieval-augmented LLMs: Towards Robust Response Generation in the Wild
Jiatai Wang, Zhiwei Xu, Di Jin et al.
Achieving Equilibrium Under Utility Heterogeneity: An Agent-Attention Framework for Multi-Agent Multi-Objective Reinforcement Learning
Zhuhui Li, Chunbo Luo, Liming Huang et al.
Achieving Fairness Without Harm via Selective Demographic Experts
Xuwei Tan, Yuanlong Wang, Thai-Hoang Pham et al.
ACID-Style: An Adaptive Condition Injection Diffusion Model for Arbitrary Style Transfer
Ting Yang, Siyu Yang, Xiyao Liu et al.
ACID Test: A Benchmark for Cultural Safety and Alignment in LALMs
Bikash Dutta, Adit Jain, Rishabh Ranjan et al.
A Closer Look at Knowledge Distillation in Spiking Neural Network Training
Xu Liu, Na Xia, Jinxing Zhou et al.
A Compliant Robotic Leg Based on Fibre Jamming (Abstract Reprint)
Lois Liow, James Brett, Josh Pinskier et al.
A Compress-Expand Framework for Automatic Lesson Plan Generation
Shuyan Huang, Ying Zheng, Xiaoli Zeng et al.
A Content-Preserving Secure Linguistic Steganography
Lingyun Xiang, Chengfu Ou, Xu He et al.
A Course Correction in Steerability Evaluation: Revealing Miscalibration and Side Effects in LLMs
Trenton Chang, Tobias Schnabel, Adith Swaminathan et al.
AcoustoReinforce: Multi-Particle Acoustophoretic Path Planning with Deep Reinforcement Learning
Pengyuan Wei, Giorgos Christopoulos, Zhouyang Shen et al.
Action-and-object Aware Alignment for Partially Relevant Video Retrieval
Chuanshen Chen, Kai Zhou, Zhiquan Wen et al.
ActiShade: Activating Overshadowed Knowledge to Guide Multi-Hop Reasoning in Large Language Models
Huipeng Ma, Luan Zhang, Dandan Song et al.
Activating Visual Context and Commonsense Reasoning Through Masked Prediction in VLMs
Jiaao Yu, Shenwei Li, Mingjie Han et al.
Activation Manipulation Attack: Penetrating and Harmful Jailbreak Attack Against Large Vision-Language Models
Haojie Hao, Jiakai Wang, Aishan Liu et al.
Activations as Features: Probing LLMs for Generalizable Essay Scoring Representations
Jinwei Chi, Ke Wang, Yu Chen et al.
Activation-wise Propagation: A One-Timestep Strategy for Spiking Neural Networks
Jian Song, Xiangfei Yang, Shangke Lyu et al.
Active3D: Active High-Fidelity 3D Reconstruction via Multi-Level Uncertainty Quantification
Yan Li, Yingzhao Li, Gim Hee Lee
Active Learning for Animal Re-Identification with Ambiguity-Aware Sampling
Depanshu Sani, Mehar Khurana, Saket Anand