Papers
Recognizing Everything from All Modalities at Once: Grounded Multimodal Universal Information Extraction
Meishan Zhang, Hao Fei, Bin Wang et al.
ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs
Justin Chen, Swarnadeep Saha, Mohit Bansal
RECOST: External Knowledge Guided Data-efficient Instruction Tuning
Qi Zhang, Yiming Zhang, Haobo Wang et al.
Recovering document annotations for sentence-level bitext
Rachel Wicks, Matt Post, Philipp Koehn
Red Teaming Visual Language Models
Mukai Li, Lei Li, Yuwei Yin et al.
Reducing Privacy Risks in Online Self-Disclosures with Language Models
Yao Dou, Isadora Krsek, Tarek Naous et al.
Referral Augmentation for Zero-Shot Information Retrieval
Michael Tang, Shunyu Yao, John Yang et al.
Refine, Align, and Aggregate: Multi-view Linguistic Features Enhancement for Aspect Sentiment Triplet Extraction
Guixin Su, Mingmin Wu, Zhongqiang Huang et al.
REFINESUMM: Self-Refining MLLM for Generating a Multimodal Summarization Dataset
Vaidehi Patil, Leonardo F. R. Ribeiro, Mengwen Liu et al.
Refining and Synthesis: A Simple yet Effective Data Augmentation Framework for Cross-Domain Aspect-based Sentiment Analysis
Haining Wang, Kang He, Bobo Li et al.
Refining Corpora from a Model Calibration Perspective for Chinese Spelling Correction
Dingyao Yu, Yang An, Wei Ye et al.
Reflect-RL: Two-Player Online RL Fine-Tuning for LMs
Runlong Zhou, Simon Du, Beibin Li
Reformulating Domain Adaptation of Large Language Models as Adapt-Retrieve-Revise: A Case Study on Chinese Legal Domain
Zhen Wan, Yating Zhang, Yexiang Wang et al.
ReFT: Reasoning with Reinforced Fine-Tuning
Luong Trung, Xinbo Zhang, Zhanming Jie et al.
RefuteBench: Evaluating Refuting Instruction-Following for Large Language Models
Jianhao Yan, Yun Luo, Yue Zhang
Reinforcement Learning-Driven LLM Agent for Automated Attacks on LLMs
Xiangwen Wang, Jie Peng, Kaidi Xu et al.
Reinforcement Tuning for Detecting Stances and Debunking Rumors Jointly with Large Language Models
Ruichao Yang, Wei Gao, Jing Ma et al.
REInstruct: Building Instruction Data from Unlabeled Corpus
Shu Chen, Xinyan Guan, Yaojie Lu et al.
RelayAttention for Efficient Large Language Model Serving with Long System Prompts
Lei Zhu, Xinjiang Wang, Wayne Zhang et al.
Relevance-aware Diverse Query Generation for Out-of-domain Text Ranking
Jia-Huei Ju, Huck Chao-Han Yang, Szu-Wei Fu et al.
ReLiK: Retrieve and LinK, Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget
Riccardo Orlando, Pere-Lluís Huguet Cabot, Edoardo Barba et al.
Relying on the Unreliable: The Impact of Language Models’ Reluctance to Express Uncertainty
Kaitlyn Zhou, Jena D. Hwang, Xiang Ren et al.
ReMAG-KR: Retrieval and Medically Assisted Generation with Knowledge Reduction for Medical Question Answering
Sidhaarth Murali, Sowmya S., Supreetha R
RePair: Automated Program Repair with Process-based Feedback
Yuze Zhao, Zhenya Huang, Yixiao Ma et al.