Papers
On the Limit of Language Models as Planning Formalizers
Cassie Huang, Li Zhang
On the Mutual Influence of Gender and Occupation in LLM Representations
Haozhe An, Connor Baumler, Abhilasha Sancheti et al.
On the Path to Make Ukrainian a High-Resource Language
Mykola Haltiuk, Aleksander Smywiński-Pohl
On the Relation Between Fine-Tuning, Topological Properties, and Task Performance in Sense-Enhanced Embeddings
Deniz Ekin Yavas, Timothée Bernard, Benoit Crabbé et al.
On the Reliability of Large Language Models for Causal Discovery
Tao Feng, Lizhen Qu, Niket Tandon et al.
On the Risk of Evidence Pollution for Malicious Social Text Detection in the Era of LLMs
Herun Wan, Minnan Luo, Zhixiong Su et al.
On the Robust Approximation of ASR Metrics
Abdul Waheed, Hanin Atwany, Rita Singh et al.
On the Role of Semantic Proto-roles in Semantic Analysis: What do LLMs know about agency?
Elizabeth Spaulding, Shafiuddin Rehan Ahmed, James Martin
On the Tolerance of Repetition Before Performance Degradation in Kiswahili Automatic Speech Recognition
Kathleen Siminyu, Kathy Reid, Rebecca Ryakitimbo et al.
On the Way to LLM Personalization: Learning to Remember User Conversations
Lucie Charlotte Magister, Katherine Metcalf, Yizhe Zhang et al.
Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question Answering
Runxuan Liu, Bei Luo, Jiaqi Li et al.
OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models
Siming Huang, Tianhao Cheng, Jason Klein Liu et al.
OpenHuEval: Evaluating Large Language Model on Hungarian Specifics
Haote Yang, Xingjian Wei, Jiang Wu et al.
Open-Set Living Need Prediction with Large Language Models
Xiaochong Lan, Jie Feng, Yizhou Sun et al.
OpenWebVoyager: Building Multimodal Web Agents via Iterative Real-World Exploration, Feedback and Optimization
Hongliang He, Wenlin Yao, Kaixin Ma et al.
Open-World Attribute Mining for E-Commerce Products with Multimodal Self-Correction Instruction Tuning
Jiaqi Li, Yanming Li, Xiaoli Shen et al.
Open-World Authorship Attribution
Xinhao Tan, Songhua Liu, Xia Cong et al.
Open-World Planning via Lifted Regression with LLM-Inferred Affordances for Embodied Agents
Xiaotian Liu, Ali Pesaranghader, Hanze Li et al.
Operationalizing AI for Good: Spotlight on Deployment and Integration of AI Models in Humanitarian Work
Anton Abilov, Ke Zhang, Hemank Lamba et al.
OPI-DRO-HEL at at SemEval-2025 Task 11: Few-shot prompting for Text-based Emotion Recognition
Daniel Karaś, Martyna Śpiewak
Optimal Transport-Based Token Weighting scheme for Enhanced Preference Optimization
Meng Li, Guangda Huzhang, Haibo Zhang et al.
Optima: Optimizing Effectiveness and Efficiency for LLM-Based Multi-Agent System
Weize Chen, Jiarui Yuan, Chen Qian et al.
Optimization before Evaluation: Evaluation with Unoptimized Prompts Can be Misleading
Nicholas Sadjoli, Tim Siefken, Atin Ghosh et al.