Papers
RippleCOT: Amplifying Ripple Effect of Knowledge Editing in Language Models via Chain-of-Thought In-Context Learning
Zihao Zhao, Yuchen Yang, Yijiang Li et al.
R-Judge: Benchmarking Safety Risk Awareness for LLM Agents
Tongxin Yuan, Zhiwei He, Lingzhong Dong et al.
RLHF Can Speak Many Languages: Unlocking Multilingual Preference Optimization for LLMs
John Dang, Arash Ahmadian, Kelly Marchisio et al.
RoBERT2VecTM: A Novel Approach for Topic Extraction in Islamic Studies
Sania Aftar, Luca Gagliardelli, Amina El Ganadi et al.
Robust AI-Generated Text Detection by Restricted Embeddings
Kristian Kuznetsov, Eduard Tulchinskii, Laida Kushnareva et al.
Robust ASR Error Correction with Conservative Data Filtering
Takuma Udagawa, Masayuki Suzuki, Masayasu Muraoka et al.
Robustness of Fine-Tuned Models for Machine Translation with Varying Noise Levels: Insights for Asturian, Aragonese and Aranese
Martin Bär, Elisa Forcada Rodríguez, María García-Abadillo Velasco
Robust Text Classification: Analyzing Prototype-Based Networks
Zhivar Sourati, Darshan Girish Deshpande, Filip Ilievski et al.
RoCEL: Advancing Table Entity Linking through Distinctive Row and Column Contexts
Yuanzheng Wang, Yixing Fan, Jiafeng Guo et al.
Roleplay-doh: Enabling Domain-Experts to Create LLM-simulated Patients via Eliciting and Adhering to Principles
Ryan Louie, Ananjan Nandi, William Fang et al.
RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization
Xijie Huang, Zechun Liu, Shih-Yang Liu et al.
RoQLlama: A Lightweight Romanian Adapted Language Model
George-Andrei Dima, Andrei-Marius Avram, Cristian-George Craciun et al.
RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning
Haoyu Wang, Tianci Liu, Ruirui Li et al.
RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning
Junjie Ye, Yilong Wu, Songyang Gao et al.
Routing in Sparsely-gated Language Models responds to Context
Stefan Arnold, Marian Fietta, Dilara Yesilbas
RRADistill: Distilling LLMs’ Passage Ranking Ability for Long-Tail Queries Document Re-Ranking on a Search Engine
Nayoung Choi, Youngjune Lee, Gyu-Hwung Cho et al.
RSA-Control: A Pragmatics-Grounded Lightweight Controllable Text Generation Framework
Yifan Wang, Vera Demberg
RuBLiMP: Russian Benchmark of Linguistic Minimal Pairs
Ekaterina Taktasheva, Maxim Bazhukov, Kirill Koncha et al.
Ruler: A Model-Agnostic Method to Control Generated Length for Large Language Models
Jiaming Li, Lei Zhang, Yunshui Li et al.
RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models
Peng Xia, Kangyu Zhu, Haoran Li et al.
RWKV-CLIP: A Robust Vision-Language Representation Learner
Tiancheng Gu, Kaicheng Yang, Xiang An et al.
SAAS: Solving Ability Amplification Strategy for Enhanced Mathematical Reasoning in Large Language Models
Hyeonwoo Kim, Gyoungjin Gim, Yungi Kim et al.
SAFARI: Cross-lingual Bias and Factuality Detection in News Media and News Articles
Dilshod Azizov, Zain Muhammad Mujahid, Hilal AlQuabeh et al.
Safely Learning with Private Data: A Federated Learning Framework for Large Language Model
Jia-Ying Zheng, Hainan Zhang, Lingxiang Wang et al.
Safety Arithmetic: A Framework for Test-time Safety Alignment of Language Models by Steering Parameters and Activations
Rima Hazra, Sayan Layek, Somnath Banerjee et al.