Papers
Real, Fake, or Manipulated? Detecting Machine-Influenced Text
Yitong Wang, Zhongping Zhang, Margherita Piana et al.
ReAL: How Can LLMs Simulate the Real Teacher? Retrieval-enhanced Agent for Adaptive Learning
Rui Lv, Qi Liu, Weibo Gao et al.
Re-Align: Aligning Vision Language Models via Retrieval-Augmented Direct Preference Optimization
Shuo Xing, Peiran Li, Yuping Wang et al.
ReAlign: Structured Revision for Small Language Model Alignment
Ruijun Chen, Jiajian Guo, Hongzhan Chen et al.
Realistic Training Data Generation and Rule Enhanced Decoding in LLM for NameGuess
Yikuan Xia, Jiazun Chen, Sujian Li et al.
REALM: Recursive Relevance Modeling for LLM-based Document Re-Ranking
Pinhuan Wang, Zhiqiu Xia, Chunhua Liao et al.
Real-time Ad Retrieval via LLM-generative Commercial Intention for Sponsored Search Advertising
Tongtong Liu, Zhaohui Wang, Meiyue Qin et al.
Real-World Summarization: When Evaluation Reaches Its Limits
Patrícia Schmidtová, Ondrej Dusek, Saad Mahamood
REARANK: Reasoning Re-ranking Agent via Reinforcement Learning
Le Zhang, Bo Wang, Xipeng Qiu et al.
REAR: Reinforced Reasoning Optimization for Event Argument Extraction with Relation-Aware Support
Jianwen Luo, Yu Hong, Shuai Yang et al.
Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models
Zonghao Ying, Deyue Zhang, Zonglei Jing et al.
Reasoning-Enhanced Domain-Adaptive Pretraining of Multimodal Large Language Models for Short Video Content Governance
Zixuan Wang, Yu Sun, Hongwei Wang et al.
Reasoning Model Unlearning: Forgetting Traces, Not Just Answers, While Preserving Reasoning Skills
Changsheng Wang, Chongyu Fan, Yihua Zhang et al.
Reasoning-to-Defend: Safety-Aware Reasoning Can Defend Large Language Models from Jailbreaking
Junda Zhu, Lingyong Yan, Shuaiqiang Wang et al.
Reasoning under Uncertainty: Efficient LLM Inference via Unsupervised Confidence Dilution and Convergent Adaptive Sampling
Zhenning Shi, Yijia Zhu, Yi Xie et al.
ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical Reasoning
Yu Sun, Xingyu Qian, Weiwen Xu et al.
Reason to Rote: Rethinking Memorization in Reasoning
Yupei Du, Philipp Mondorf, Silvia Casola et al.
Reassessing Speech Translation for Low-Resource Languages: Do LLMs Redefine the State-of-the-Art Against Cascaded Models?
Jonah Dauvet, Min Ma, Jessica Ojo et al.
RECALL: REpresentation-aligned Catastrophic-forgetting ALLeviation via Hierarchical Model Merging
Bowen Wang, Haiyuan Wan, Liwen Shi et al.
Recall with Reasoning: Chain-of-Thought Distillation for Mamba’s Long-Context Memory and Extrapolation
Jun-Yu Ma, Tianqing Fang, Zhisong Zhang et al.
RECAST: Retrieval-Augmented Contextual ASR via Decoder-State Keyword Spotting
Ashish Mittal, Sunita Sarawagi, Preethi Jyothi
RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation
Sashuai Zhou, Weinan Gan, Qijiong Liu et al.
RecGPT: A Foundation Model for Sequential Recommendation
Yangqin Jiang, Xubin Ren, Lianghao Xia et al.
Recipe2Plan: Evaluating Planning Abilities of LLMs for Efficient and Feasible Multitasking with Time Constraints Between Actions
Zirui Wu, Xiao Liu, Jiayi Li et al.
Recognizing Limits: Investigating Infeasibility in Large Language Models
Wenbo Zhang, Zihang Xu, Hengrui Cai