Papers
OldJoe at AVeriTeC: In-context learning for fact-checking
Farah Ftouhi, Russel Dsouza, Lance Calvin Lim Gamboa et al.
OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens
Jiacheng Liu, Taylor Blanton, Yanai Elazar et al.
OMGM: Orchestrate Multiple Granularities and Modalities for Efficient Multimodal Retrieval
Wei Yang, Jingjing Fu, Rui Wang et al.
OmniAlign-V: Towards Enhanced Alignment of MLLMs with Human Preference
Xiangyu Zhao, Shengyuan Ding, Zicheng Zhang et al.
OmniCharacter: Towards Immersive Role-Playing Agents with Seamless Speech-Language Personality Interaction
Haonan Zhang, Run Luo, Xiong Liu et al.
OmniFlatten: An End-to-end GPT Model for Seamless Voice Conversation
Qinglin Zhang, Luyao Cheng, Chong Deng et al.
On choosing the vehicles of metaphors without a body: evidence from Large Language Models
Veronica Mangiaterra, Chiara Barattieri Di San Pietro, Federico Frau et al.
ONEBench to Test Them All: Sample-Level Benchmarking Over Open-Ended Capabilities
Adhiraj Ghosh, Sebastian Dziadzio, Ameya Prabhu et al.
One-Dimensional Object Detection for Streaming Text Segmentation of Meeting Dialogue
Rui He, Zhongqing Wang, Minjie Qiang et al.
One-for-All Pruning: A Universal Model for Customized Compression of Large Language Models
Rongguang Ye, Ming Tang
One for All: Update Parameterized Knowledge Across Multiple Models with Once Edit
Weitao Ma, Xiyuan Du, Xiaocheng Feng et al.
One Missing Piece for Open-Source Reasoning Models: A Dataset to Mitigate Cold-Starting Short CoT LLMs in RL
Hyungjoo Chae, Dongjin Kang, Jihyuk Kim et al.
On Entity Identification in Language Models
Masaki Sakata, Benjamin Heinzerling, Sho Yokoi et al.
One QuantLLM for ALL: Fine-tuning Quantized LLMs Once for Efficient Deployments
Ke Yi, Yuhui Xu, Heng Chang et al.
One Size Fits None: Rethinking Fairness in Medical AI
Roland Roller, Michael Hahn, Ajay Madhavan Ravichandran et al.
On Generalization across Measurement Systems: LLMs Entail More Test-Time Compute for Underrepresented Cultures
Minh Duc Bui, Kyung Eun Park, Goran Glavaš et al.
On Integrating LLMs Into an Argument Annotation Workflow
Robin Schaefer
Online Iterative Self-Alignment for Radiology Report Generation
Ting Xiao, Lei Shi, Yang Zhang et al.
Only a Little to the Left: A Theory-grounded Measure of Political Bias in Large Language Models
Mats Faulborn, Indira Sen, Max Pellert et al.
Only for the Unseen Languages, Say the Llamas: On the Efficacy of Language Adapters for Cross-lingual Transfer in English-centric LLMs
Julian Schlenker, Jenny Kunz, Tatiana Anikina et al.
On Many-Shot In-Context Learning for Long-Context Evaluation
Kaijian Zou, Muhammad Khalifa, Lu Wang
On-Policy Self-Alignment with Fine-grained Knowledge Feedback for Hallucination Mitigation
Xueru Wen, Jie Lou, Xinyu Lu et al.
On Support Samples of Next Word Prediction
Yuqian Li, Yupei Du, Yufang Liu et al.
On Synthesizing Data for Context Attribution in Question Answering
Gorjan Radevski, Kiril Gashteovski, Shahbaz Syed et al.
On Synthetic Data Strategies for Domain-Specific Generative Retrieval
Haoyang Wen, Jiang Guo, Yi Zhang et al.