Papers
Resolving Predictive Multiplicity for the Rashomon Set
Parian Haghighat, Hadis Anahideh, Cynthia Rudin
Resolving the Security-Auditability Dilemma with Auditable Latent Chain-of-Thought Alignment
Guan Wang, Biyu Zhou, Xuehai Tang et al.
Resonating with RoPE: Spectral Quantization for High-Fidelity Key Cache Compression
Xuefei Wang, Haoyu Tang, Tianyuan Liang et al.
Resource Efficient Sleep Staging via Multi-Level Masking and Prompt Learning
Lejun Ai, Yulong Li, Haodong Yi et al.
Respecting Temporal-Causal Consistency: Entity-Event Knowledge Graph for Retrieval-Augmented Generation
Ze Yu Zhang, Zitao Li, Yaliang Li et al.
RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification
Shakhrul Iman Siam, Tiantian Feng, Jiankun Zhang et al.
RESPOND: Realistic Environment Simulation of Population and Natural Disasters with LLM-Driven Agents
Roman Sultimov, Mikhail Mozikov, Dmitrii Abramov et al.
RESPOND: Realistic Environment Simulation of Population and Natural Disasters with LLM-Driven Agents (Student Abstract)
Roman Sultimov, Mikhail Mozikov, Dmitrii Abramov et al.
Response Attack: Exploiting Contextual Priming to Jailbreak Large Language Models
Miao Ziqi, Lijun Li, Yuan Xiong et al.
Response-G1: Explicit Scene Graph Modeling for Proactive Streaming Video Understanding
Ke Ma, Jiaqi Tang, Bin Guo et al.
Responsible Evaluation of AI for Mental Health
Hiba Arnaout, Anmol Goel, H. Andrew Schwartz et al.
Responsible Mechanism Design
Pavel Naumov
ResProto-FD: Visual-Language Residual Prototype Sets for Generalized Face Forgery Detection
Jiuyao Jing, Yu Zheng, Chunlei Peng
Re-SpS: A Reinforcement Learning Approach to Speculative Sampling
Chenan Wang, Daniel H. Shi, Haipeng Chen
RESTL: Reinforcement Learning Guided by Multi-Aspect Rewards for Signal Temporal Logic Transformation
Yue Fang, Zhi Jin, Jie An et al.
Restora-Flow: Mask-Guided Image Restoration with Flow Matching
Arnela Hadzic, Franz Thaler, Lea Bogensperger et al.
REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once
Zhuoshi Pan, Qizhi Pei, Yu Li et al.
Retaliatory Attacks Against Federated Unlearning via Data Leakage
Xinyi Sheng, Wei Bao, Hequn Wang et al.
Rethinking AI: From Functions to Functors
Sridhar Mahadevan
Rethinking Bias in Generative Data Augmentation for Medical AI: A Frequency Recalibration Method
Chi Liu, Jincheng Liu, Congcong Zhu et al.
Rethinking Composed Image Retrieval Evaluation: A Fine-Grained Benchmark from Image Editing
Tingyu Song, Yanzhao Zhang, Mingxin Li et al.
Rethinking Creativity Evaluation: A Critical Analysis of Existing Creativity Evaluations
Li-Chun Lu, Miri Liu, Pin Chun Lu et al.
Rethinking Crystal Symmetry Prediction: A Decoupled Perspective
Liheng Yu, Zhe Zhao, Xucong Wang et al.
Rethinking Data Mixing from the Perspective of Large Language Models
Yuanjian Xu, Tianze Sun, Changwei Xu et al.
Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives
Yajiao Liu, Congliang Chen, Junchi Yang et al.