Papers
On the Interpretability of Deep Learning Models for Collaborative Argumentation Analysis in Classrooms
Deliang Wang, Gaowei Chen
On the Language Encoder of Contrastive Cross-modal Models
Mengjie Zhao, Junya Ono, Zhi Zhong et al.
On the Multi-turn Instruction Following for Conversational Web Agents
Yang Deng, Xuan Zhang, Wenxuan Zhang et al.
On The Persona-based Summarization of Domain-Specific Documents
Ankan Mullick, Sombit Bose, Rounak Saha et al.
On the Relationship Between RNN Hidden-State Vectors and Semantic Structures
Edi Muskardin, Martin Tappler, Ingo Pill et al.
On the Representational Capacity of Neural Language Models with Chain-of-Thought Reasoning
Franz Nowak, Anej Svete, Alexandra Butoi et al.
On the Robustness of Document-Level Relation Extraction Models to Entity Name Variations
Shiao Meng, Xuming Hu, Aiwei Liu et al.
On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models
Dongyang Li, Junbing Yan, Taolin Zhang et al.
On the Semantic Latent Space of Diffusion-Based Text-To-Speech Models
Miri Varshavsky-Hassid, Roy Hirsch, Regev Cohen et al.
On the Utility of Pretraining Language Models on Synthetic Data
Alcides Alcoba Inciarte, Sang Yun Kwon, El Moatez Billah Nagoudi et al.
On the Vulnerability of Safety Alignment in Open-Access LLMs
Jingwei Yi, Rui Ye, Qisi Chen et al.
Ontology-guided Knowledge Graph Construction from Maintenance Short Texts
Zeno van Cauter, Nikolay Yakovets
OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models
Shuai Wang, Liang Ding, Li Shen et al.
Open (Clinical) LLMs are Sensitive to Instruction Phrasings
Alberto Mario Ceballos-Arroyo, Monica Munnangi, Jiuding Sun et al.
OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement
Tianyu Zheng, Ge Zhang, Tianhao Shen et al.
OpenEval: Benchmarking Chinese LLMs across Capability, Alignment and Safety
Chuang Liu, Linhao Yu, Jiaxuan Li et al.
Open foundation models for Azerbaijani language
Jafar Isbarov, Kavsar Huseynova, Elvin Mammadov et al.
Open Grounded Planning: Challenges and Benchmark Construction
Shiguang Guo, Ziliang Deng, Hongyu Lin et al.
Open Ko-LLM Leaderboard: Evaluating Large Language Models in Korean with Ko-H5 Benchmark
Chanjun Park, Hyeonwoo Kim, Dahyun Kim et al.
Open-Set Semi-Supervised Text Classification via Adversarial Disagreement Maximization
Junfan Chen, Richong Zhang, Junchi Chen et al.
OpenToM: A Comprehensive Benchmark for Evaluating Theory-of-Mind Reasoning Capabilities of Large Language Models
Hainiu Xu, Runcong Zhao, Lixing Zhu et al.
OpenVNA: A Framework for Analyzing the Behavior of Multimodal Language Understanding System under Noisy Scenarios
Ziqi Yuan, Baozheng Zhang, Hua Xu et al.
OpenWebAgent: An Open Toolkit to Enable Web Agents on Large Language Models
Iat Long Iong, Xiao Liu, Yuxuan Chen et al.
OPEx: A Component-Wise Analysis of LLM-Centric Agents in Embodied Instruction Following
Haochen Shi, Zhiyuan Sun, Xingdi Yuan et al.
Optimal Transport Guided Correlation Assignment for Multimodal Entity Linking
Zefeng Zhang, Jiawei Sheng, Chuang Zhang et al.