Papers
Reducing Goal State Divergence with Environment Design
Kelsey Sikes, Sarah Keren, Sarath Sreedharan
Reducing Hallucinations in Language Model-based SPARQL Query Generation Using Post-Generation Memory Retrieval
Aditya Sharma, Christopher Pal, Amal Zouaq
Reducing the Scope of Language Models
David Yunis, Siyu Huo, Chulaka Gunasekara et al.
Reducing Token Redundancy in LVLMs: A Systematic Review of Token Pruning Methods
Hanzhang Yuan, Mengxuan Hu, Wenhao Zhang et al.
Redundancy-optimized Multi-head Attention Networks for Multi-view Multi-label Feature Selection
Yuzhou Liu, Jiarui Liu, Wanfu Gao
Redundant Queries in DETR-Based 3D Detection Methods: Unnecessary and Prunable
Lizhen Xu, Zehao Wu, Wenzhao Qiu et al.
ReEfBench: Quantifying the Reasoning Efficiency of LLMs
Zhizhang Fu, Yuancheng Gu, Chenkai Hu et al.
ReEx-SQL: Reasoning with Execution-Aware Reinforcement Learning for Text-to-SQL
Yaxun Dai, Wenxuan Xie, Xialie Zhuang et al.
ReFACT: A Benchmark for Scientific Confabulation Detection with Positional Error Annotations
Yindong Wang, Martin Preiß, Margarita Bugueño et al.
RefAdGen: High-Fidelity Advertising Image Generation
Yiyun Chen, Weikai Yang
ReFEree: Reference-Free and Fine-Grained Method for Evaluating Factual Consistency in Real-World Code Summarization
Suyoung Bae, CheolWon Na, Jaehoon Lee et al.
Reference Attack: A New Cross-Modal Jailbreaking Attack against Multimodal Large Language Models
Yulong Wang, Yifei Fu, Jiayi Gao
Reference-Free Schema Generation for Literature Review Tables via Multi-Faceted Rewards
Sinjoy Saha, Suman Saha, Mahfuza Farooque et al.
Reference Recommendation Based Membership Inference Attack Against Hybrid-Based Recommender Systems
Xiaoxiao Chi, Xuyun Zhang, Yan Wang et al.
Referring Change Detection in Remote Sensing Imagery
Yilmaz Korkmaz, Jay N. Paranjape, Celso M. de Melo et al.
RefiDiff: Progressive Refinement Diffusion for Efficient Missing Data Imputation
Md Atik Ahamed, Qiang Ye, Qiang Cheng
Refine3D: Scene-Adaptive Reference Point Refinement for Sparse 3D Object Detection
Fan Li, Jing Lu, Yunlu Xu et al.
Refine and Align: Confidence Calibration Through Multi-Agent Interaction in VQA
Ayush Pandey, Jai Bardhan, Ishita Jain et al.
ReFINE: A Reward-Based Framework for Interpretable and Nuanced Evaluation of Radiology Report Generation
Yunyi Liu, Yingshu Li, Zhanyu Wang et al.
Refine-IQA: Multi-Stage Reinforcement Finetuning for Perceptual Image Quality Assessment
Ziheng Jia, Jiaying Qian, Zicheng Zhang et al.
Refinement Contrastive Learning of Cell–Gene Associations for Unsupervised Cell Type Identification
Liang Peng, Haopeng Liu, Yixuan Ye et al.
RefineVAD: Semantic-Guided Feature Recalibration for Weakly Supervised Video Anomaly Detection
Junhee Lee, ChaeBeen Bang, MyoungChul Kim et al.
ReFineVQA: Iterative Refinement of Video Description via Feedback Generation for Video Question Answering
Jeongwan Shin, Chan Hur, Seongmin Cho et al.
Refining and Reusing Annotation Guidelines for LLM Annotation
Kon Woo Kim, Jin-Dong Kim, Akiko Aizawa
Reflection in the Dark: Exposing and Escaping the Black Box in Reflective Prompt Optimization
Shiyan Liu, Qifeng Xia, Qiyun Xia et al.