Papers
Reasoning Structure Matters for Safety Alignment of Reasoning Models
Yeonjun In, Wonjoong Kim, Sangwu Park et al.
Reasoning Traces Shape Outputs but Models Won’t Say So
Yijie Hao, Lingjie Chen, Ali Emami et al.
Reasoning Transfer for an Extremely Low-Resource and Endangered Language: Bridging Languages Through Sample-Efficient Language Understanding
Khanh-Tung Tran, Barry O'Sullivan, Hoang D. Nguyen
Reasoning via Implicit Self-supervised Emergence for Instruction Segmentation
Qing Zhou, Lichang Yang, Yuyu Jia et al.
Reasoning While Asking: Transforming Reasoning Large Language Models from Passive Solvers to Proactive Inquirers
Xin Chen, Feng Jiang, Yiqian Zhang et al.
Reasoning with Exploration: An Entropy Perspective
Daixuan Cheng, Shaohan Huang, Xuekai Zhu et al.
Reasoning with OmniThought: A Large CoT Dataset with Verbosity and Cognitive Difficulty Annotations
Wenrui Cai, Chengyu Wang, Junbing Yan et al.
Reasoning with Ontology Graph: Toward Type-Constrained Knowledge Graph Question Answering
Yongxue Shan, Jie Peng, Zixuan Dong et al.
ReasonRank: Empowering Passage Ranking with Strong Reasoning Ability
Wenhan Liu, Xinyu Ma, Weiwei Sun et al.
ReaSon: Reinforced Causal Search with Information Bottleneck for Video Understanding
Yuan Zhou, Litao Hua, Shilong Jin et al.
Reassessing Active Learning Adoption in Contemporary NLP: A Community Survey
Julia Romberg, Christopher Schröder, Julius Gonsior et al.
ReAttn: Improving Attention-based Re-ranking via Attention Re-weighting
Yuxing Tian, Fengran Mo, Weixu Zhang et al.
ReBoot: Encrypted Training of Deep Neural Networks with CKKS Bootstrapping
Alberto Pirillo, Luca Colombo
ReBPE: Iteratively Improving the Internal Structure of a Structured Tokeniser by Mining its Internal Structure
Thomas Bauwens, Miryam de Lhoneux
ReBrain: Brain MRI Reconstruction from Sparse CT Slice via Retrieval-Augmented Diffusion
Junming Liu, Yifei Sun, Weihua Cheng et al.
ReCAD: Reinforcement Learning Enhanced Parametric CAD Model Generation with Vision-Language Models
Jiahao Li, Yusheng Luo, Yunzhong Lou et al.
RECAP: An End-to-End Platform for Capturing, Replaying, and Analyzing AI-Assisted Programming Interactions
Keyu He, Qianou Ma, Valerie Chen et al.
RECAP: REwriting Conversations for Intent Understanding in Agentic Planning
Kushan Mitra, Dan Zhang, Hannah Kim et al.
ReCast: Reliability-aware Codebook-assisted Lightweight Time Series Forecasting
Xiang Ma, Taihua Chen, Pengcheng Wang et al.
RecCocktail: A Generalizable and Efficient Framework for LLM-Based Recommendation
Min Hou, Chenxi Bai, Le Wu et al.
ReciFine: Finely Annotated Recipe Dataset for Controllable Recipe Generation
Nuhu Ibrahim, Rishi Ravikumar, Robert Stevens et al.
RECIPE-TKG: From Sparse History to Structured Reasoning for LLM-based Temporal Knowledge Graph Completion
Ömer Faruk Akgül, Feiyu Zhu, Yuxin Yang et al.
Reciprocal Teaching: Dynamic Multi-Model Teacher-Student Learning for Multiple Noisy Annotations
Wenjie Ai, Cuong C. Nguyen, Adrian Hilton et al.
ReCode: Reinforcing Code Generation with Reasoning-Process Rewards
Lishui Fan, Yu Zhang, Mouxiang Chen et al.
ReCode: Updating Code API Knowledge with Reinforcement Learning
Haoze Wu, Yunzhi Yao, Wenhao Yu et al.