Papers
RefVNLI: Towards Scalable Evaluation of Subject-driven Text-to-image Generation
Aviv Slobodkin, Hagai Taitelbaum, Yonatan Bitton et al.
REGen: A Reliable Evaluation Framework for Generative Event Argument Extraction
Omar Sharif, Joseph Gatto, Madhusudan Basak et al.
ReGraphRAG: Reorganizing Fragmented Knowledge Graphs for Multi-Perspective Retrieval-Augmented Generation
Soohyeong Kim, Seok Jun Hwang, JungHyoun Kim et al.
Regularized Contrastive Decoding with Hard Negative Samples for LLM Hallucination Mitigation
Haonan Sheng, Dou Hu, Lingwei Wei et al.
REIC: RAG-Enhanced Intent Classification at Scale
Ziji Zhang, Michael Yang, Zhiyu Chen et al.
Reimagining Safety Alignment with An Image
Yifan Xia, Guorui Chen, Wenqian Yu et al.
Reinforced Query Reasoners for Reasoning-intensive Retrieval Tasks
Xubo Qin, Jun Bai, Jiaqi Li et al.
Reinforcement Learning for Large Language Models via Group Preference Reward Shaping
Huaisheng Zhu, Siyuan Xu, Hangfan Zhang et al.
Reinforcement Learning with Supervised Alignment
João Luís Lins, Jia Xu
Relation-Aware Prompting Makes Large Language Models Effective Zero-shot Relation Extractors
Mahdi Rahimi, Razvan-Gabriel Dumitru, Mihai Surdeanu
Relevant for the Right Reasons? Investigating Lexical Biases in Zero-Shot and Instruction-Tuned Rerankers
Yuchen Mao, Barbara Plank, Robert Litschko
Reliability Crisis of Reference-free Metrics for Grammatical Error Correction
Takumi Goto, Yusuke Sakai, Taro Watanabe
Reliable and Cost-Effective Exploratory Data Analysis via Graph-Guided RAG
Mossad Helali, Yutai Luo, Tae Jun Ham et al.
ReliableEval: A Recipe for Stochastic LLM Evaluation via Method of Moments
Gili Lior, Eliya Habba, Shahar Levy et al.
Reliable Evaluation and Benchmarks for Statement Autoformalization
Auguste Poiroux, Gail Weiss, Viktor Kunčak et al.
RELIC: Enhancing Reward Model Generalization for Low-Resource Indic Languages with Few-Shot Examples
Soumya Suvra Ghosal, Vaibhav Singh, Akash Ghosh et al.
ReLoop: “Seeing Twice and Thinking Backwards” via Closed-loop Training to Mitigate Hallucinations in Multimodal understanding
Jianjiang Yang, Yanshu Li, Ziyan Huang
ReMamba: Equip Mamba with Effective Long-Sequence Modeling
Danlong Yuan, Jiahao Liu, Bei Li et al.
ReMedy: Learning Machine Translation Evaluation from Human Preferences with Reward Modeling
Shaomu Tan, Christof Monz
Re:Member: Emotional Question Generation from Personal Memories
Zackary Rackauckas, Nobuaki Minematsu, Julia Hirschberg
RepoDebug: Repository-Level Multi-Task and Multi-Language Debugging Evaluation of Large Language Models
Jingjing Liu, Zeming Liu, Zihao Cheng et al.
Representation-based Broad Hallucination Detectors Fail to Generalize Out of Distribution
Zuzanna Dubanowska, Maciej Żelaszczyk, Michał Brzozowski et al.
Representation Potentials of Foundation Models for Multimodal Alignment: A Survey
Jianglin Lu, Hailing Wang, Yi Xu et al.
Representing LLMs in Prompt Semantic Task Space
Idan Kashani, Avi Mendelson, Yaniv Nemcovsky
Rescorla-Wagner Steering of LLMs for Undesired Behaviors over Disproportionate Inappropriate Context
Rushi Wang, Jiateng Liu, Cheng Qian et al.