Papers
ROBOTO2: An Interactive System and Dataset for LLM-assisted Clinical Trial Risk of Bias Assessment
Anthony Hevia, Sanjana Chintalapati, Veronica Ka Wai Lai et al.
Robust Adaptation of Large Multimodal Models for Retrieval Augmented Hateful Meme Detection
Jingbiao Mei, Jinghong Chen, Guangyu Yang et al.
Robust Knowledge Editing via Explicit Reasoning Chains for Distractor-Resilient Multi-Hop QA
Yuchen Wu, Liang Ding, Li Shen et al.
Robust Native Language Identification through Agentic Decomposition
Ahmet Yavuz Uluslu, Tannon Kew, Tilia Ellendorff et al.
RoCS-MT v2 at WMT 2025: Robust Challenge Set for Machine Translation
Rachel Bawden, Benoît Sagot
RoDEval: A Robust Word Sense Disambiguation Evaluation Framework for Large Language Models
Luyang Zhang, Shuaimin Li, Yishuo Li et al.
Role-Guided Annotation and Prototype-Aligned Representation Learning for Historical Literature Sentiment Classification
Hongfei Du, Jiacheng Shi, Jacobo Myerston et al.
RoMath: A Mathematical Reasoning Benchmark in Romanian
Adrian Cosma, Ana-Maria Bucur, Emilian Radoi
ROSE: A Reward-Oriented Data Selection Framework for LLM Task-Specific Instruction Tuning
Yang Wu, Huayi Zhang, Yizheng Jiao et al.
Rotate, Clip, and Partition: Towards W2A4KV4 Quantization by Integrating Rotation and Learnable Non-uniform Quantizer
Euntae Choi, Sumin Song, Woosang Lim et al.
RoT: Enhancing Table Reasoning with Iterative Row-Wise Traversals
Xuanliang Zhang, Dingzirui Wang, Keyan Xu et al.
RouterEval: A Comprehensive Benchmark for Routing LLMs to Explore Model-level Scaling Up in LLMs
Zhongzhan Huang, Guoming Ling, Yupei Lin et al.
Router-Tuning: A Simple and Effective Approach for Dynamic Depth
Shwai He, Tao Ge, Guoheng Sun et al.
Route Sparse Autoencoder to Interpret Large Language Models
Wei Shi, Sihang Li, Tao Liang et al.
RPDR: A Round-trip Prediction-Based Data Augmentation Framework for Long-Tail Question Answering
Yiming Zhang, Siyue Zhang, Junbo Zhao et al.
R-PRM: Reasoning-Driven Process Reward Modeling
Shuaijie She, Junxiao Liu, Yifeng Liu et al.
RRInf: Efficient Influence Function Estimation via Ridge Regression for Large Language Models and Text-to-Image Diffusion Models
Zhuozhuo Tu, Cheng Chen, Yuxuan Du
RTE-GMoE: A Model-agnostic Approach for Relation Triplet Extraction via Graph-based Mixture-of-Expert Mutual Learning
Aziguli Wulamu, Kaiyuan Gong, Lyu Zhengyu et al.
R-TOFU: Unlearning in Large Reasoning Models
Sangyeon Yoon, Wonje Jeung, Albert No
RTQA : Recursive Thinking for Complex Temporal Knowledge Graph Question Answering with Large Language Models
Zhaoyan Gong, Juan Li, Zhiqiang Liu et al.
RTTC: Reward-Guided Collaborative Test-Time Compute
Juan Pablo Munoz, Jinjie Yuan
RuCCoD: Towards Automated ICD Coding in Russian
Alexandr Nesterov, Andrey Sakhovskiy, Ivan Sviridov et al.
Rule Discovery for Natural Language Inference Data Generation Using Out-of-Distribution Detection
Juyoung Han, Hyunsun Hwang, Changki Lee
Rule-Guided Extraction: A Hierarchical Rule Optimization Framework for Document-Level Event Argument Extraction
Yue Zuo, Yuxiao Fei, Wanting Ning et al.
Runaway is Ashamed, But Helpful: On the Early-Exit Behavior of Large Language Model-based Agents in Embodied Environments
Qingyu Lu, Liang Ding, Siyi Cao et al.