Papers
O_O-VC: Synthetic Data-Driven One-to-One Alignment for Any-to-Any Voice Conversion
Huu Tuong Tu, Huan Vu, Cuong Tien Nguyen et al.
Open-DeBias: Toward Mitigating Open-Set Bias in Language Models
Arti Rani, Shweta Singh, Nihar Ranjan Sahoo et al.
Open-domain Arabic Conversational Question Answering with Question Rewriting
Mariam E. Hassib, Nagwa El-Makky, Marwan Torki
OpenNER 1.0: Standardized Open-Access Named Entity Recognition Datasets in 50+ Languages
Chester Palen-Michel, Maxwell Pickering, Maya Kruse et al.
Open Political Corpora: Structuring, Searching, and Analyzing Political Text Collections with PoliCorp
Nina Smirnova, Muhammad Ahsan Shahid, Philipp Mayr
OpenRLHF: A Ray-based Easy-to-use, Scalable and High-performance RLHF Framework
Jian Hu, Xibin Wu, Wei Shen et al.
OpenS2S: Advancing Fully Open-Source End-to-End Empathetic Large Speech Language Model
Chen Wang, Tianyu Peng, Wen Yang et al.
Open-Theatre: An Open-Source Toolkit for LLM-based Interactive Drama
Tianyang Xu, Hongqiu Wu, Weiqi Wu et al.
OpenTuringBench: An Open-Model-based Benchmark and Framework for Machine-Generated Text Detection and Attribution
Lucio La Cava, Andrea Tagarelli
OpenWHO: A Document-Level Parallel Corpus for Health Translation in Low-Resource Languages
Raphael Merx, Hanna Suominen, Trevor Cohn et al.
Opt-ICL at LeWiDi-2025: Maximizing In-Context Signal from Rater Examples via Meta-Learning
Taylor Sorensen, Yejin Choi
Optimising Factual Consistency in Summarisation via Preference Learning from Multiple Imperfect Metrics
Yuxuan Ye, Raul Santos-Rodriguez, Edwin Simpson
Optimizing Cross-Client Domain Coverage for Federated Instruction Tuning of Large Language Models
Zezhou Wang, Yaxin Du, Xingjun Ma et al.
OptiSeq: Ordering Examples On-The-Fly for In-Context Learning
Rahul Atul Bhope, Praveen Venkateswaran, K. R. Jayaram et al.
ORAL: Prompting Your Large-Scale LoRAs via Conditional Recurrent Diffusion
Rana Shahroz, Dongwen Tang, Pingzhi Li et al.
Orchestrating Audio: Multi-Agent Framework for Long-Video Audio Synthesis
Yehang Zhang, Xinli Xu, Xiaojie Xu et al.
Order Doesn’t Matter, But Reasoning Does: Training LLMs with Order-Centric Augmentation
Qianxi He, Qianyu He, Jiaqing Liang et al.
ORPP: Self-Optimizing Role-playing Prompts to Enhance Language Model Capabilities
Yifan Duan, Yihong Tang, Kehai Chen et al.
Orthogonal Finetuning Made Scalable
Zeju Qiu, Weiyang Liu, Adrian Weller et al.
OSC: Cognitive Orchestration through Dynamic Knowledge Alignment in Multi-Agent LLM Collaboration
Jusheng Zhang, Yijia Fan, Kaitong Cai et al.
Osint at AraGenEval shared task: Fine-Tuned Modeling for Tracking Style Signatures and AI Generation in Arabic Texts
Shifali Agrahari, Hemanth Prakash Simhadri, Ashutosh Kumar Verma et al.
“Otherwise” in Context: Exploring Discourse Functions with Language Models
Guifu Liu, Bonnie Webber, Hannah Rohde
OUNLP at TSAR 2025 Shared Task Multi-Round Text Simplifier via Code Generation
Cuong Huynh, Jie Cao
Out-of-Context Reasoning in Large Language Models
Jonathan Shaki, Emanuele La Malfa, Michael J. Wooldridge et al.
Out of Sight, Not Out of Context? Egocentric Spatial Reasoning in VLMs Across Disjoint Frames
Sahithya Ravi, Gabriel Herbert Sarch, Vibhav Vineet et al.