Papers
Revisiting the Givenness Hierarchy. A Corpus-Based Evaluation
Christian Chiarcos
REVIVING YOUR MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing
Aly M. Kassem, Zhuan Shi, Negar Rostamzadeh et al.
RevPRAG: Revealing Poisoning Attacks in Retrieval-Augmented Generation through LLM Activation Analysis
Xue Tan, Hao Luan, Mingyu Luo et al.
RewardDS: Privacy-Preserving Fine-Tuning for Large Language Models via Reward Driven Data Synthesis
Jianwei Wang, Chengming Shi, Junyao Yang et al.
Rewarding the Unlikely: Lifting GRPO Beyond Distribution Sharpening
Andre Wang He, Daniel Fried, Sean Welleck
Reward Mixology: Crafting Hybrid Signals for Reinforcement Learning Driven In-Context Learning
Changshuo Zhang, Ang Gao, Xiao Zhang et al.
Reward-Shifted Speculative Sampling Is An Efficient Test-Time Weak-to-Strong Aligner
Bolian Li, Yanran Wu, Xinyu Luo et al.
Reward-Weighted Sampling: Enhancing Non-Autoregressive Characteristics in Masked Diffusion LLMs
Daehoon Gwak, Minseo Jung, Junwoo Park et al.
reWordBench: Benchmarking and Improving the Robustness of Reward Models with Transformed Inputs
Zhaofeng Wu, Michihiro Yasunaga, Andrew Cohen et al.
RGAR: Recurrence Generation-augmented Retrieval for Factual-aware Medical Question Answering
Sichu Liang, Linhai Zhang, Hongyu Zhu et al.
RG-VQA: Leveraging Retriever-Generator Pipelines for Knowledge Intensive Visual Question Answering
Settaluri Lakshmi Sravanthi, Pulkit Agarwal, Debjyoti Mondal et al.
‘Rich Dad, Poor Lad’: How do Large Language Models Contextualize Socioeconomic Factors in College Admission ?
Huy Nghiem, Phuong-Anh Nguyen-Le, John Prindle et al.
RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction
Yuchi Wang, Yishuo Cai, Shuhuai Ren et al.
Riemannian Optimization for LoRA on the Stiefel Manifold
JuneYoung Park, Minjae Kang, Seongbae Lee et al.
RingFormer: Rethinking Recurrent Transformer with Adaptive Level Signals
Jaemu Heo, Eldor Fozilov, Hyunmin Song et al.
Risks and Limits of Automatic Consolidation of Statutes
Max Prior, Adrian Hof, Niklas Wais et al.
RiTTA: Modeling Event Relations in Text-to-Audio Generation
Yuhang He, Yash Jain, Xubo Liu et al.
RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation
Tianjiao Li, Mengran Yu, Chenyu Shi et al.
RJE: A Retrieval-Judgment-Exploration Framework for Efficient Knowledge Graph Question Answering with LLMs
Can Lin, Zhengwang Jiang, Ling Zheng et al.
RLAE: Reinforcement Learning-Assisted Ensemble for LLMs
Yuqian Fu, Yuanheng Zhu, Jiajun Chai et al.
RLHF Algorithms Ranked: An Extensive Evaluation Across Diverse Tasks, Rewards, and Hyperparameters
Lucas Spangher, Rama Kumar Pasumarthi, Nick Masiewicki et al.
RLMEval: Evaluating Research-Level Neural Theorem Proving
Auguste Poiroux, Antoine Bosselut, Viktor Kunčak
R-LoRA: Randomized Multi-Head LoRA for Efficient Multi-task Learning
Jinda Liu, Yi Chang, Yuan Wu
RMTBench: Benchmarking LLMs Through Multi-Turn User-Centric Role-Playing
Hao Xiang, Tianyi Tang, Yang Su et al.