Papers
PPTC-R benchmark: Towards Evaluating the Robustness of Large Language Models for PowerPoint Task Completion
Zekai Zhang, Yiduo Guo, Yaobo Liang et al.
PRACT: Optimizing Principled Reasoning and Acting of LLM Agent
Zhiwei Liu, Weiran Yao, Jianguo Zhang et al.
PreAlign: Boosting Cross-Lingual Transfer by Early Establishment of Multilingual Alignment
Jiahuan Li, Shujian Huang, Aarron Ching et al.
Precise Model Benchmarking with Only a Few Observations
Riccardo Fogliato, Pratik Patil, Nil-Jana Akpinar et al.
Precision or Recall? An Analysis of Image Captions for Training Text-to-Image Generation Model
Sheng Cheng, Maitreya Patel, Yezhou Yang
Predicate Debiasing in Vision-Language Models Integration for Scene Graph Generation Enhancement
Yuxuan Wang, Xiaoyuan Liu
Predicting Entity Salience in Extremely Short Documents
Benjamin Bullough, Harrison Lundberg, Chen Hu et al.
Predicting generalization performance with correctness discriminators
Yuekun Yao, Alexander Koller
Predicting Rewards Alongside Tokens: Non-disruptive Parameter Insertion for Efficient Inference Intervention in Large Language Model
Chenhan Yuan, Fei Huang, Ru Peng et al.
Prediction of CRISPR On-Target Effects via Deep Learning
Condy Bao, Fuxiao Liu
Predictive Multiplicity of Knowledge Graph Embeddings in Link Prediction
Yuqicheng Zhu, Nico Potyka, Mojtaba Nayyeri et al.
PREDICT: Multi-Agent-based Debate Simulation for Generalized Hate Speech Detection
Someen Park, Jaehoon Kim, Seungwan Jin et al.
Preference-Guided Reflective Sampling for Aligning Language Models
Hai Ye, Hwee Tou Ng
Preference Tuning For Toxicity Mitigation Generalizes Across Languages
Xiaochen Li, Zheng Xin Yong, Stephen Bach
Prefixing Attention Sinks can Mitigate Activation Outliers for Large Language Model Quantization
Seungwoo Son, Wonpyo Park, Woohyun Han et al.
Presentations are not always linear! GNN meets LLM for Text Document-to-Presentation Transformation with Attribution
Himanshu Maheshwari, Sambaran Bandyopadhyay, Aparna Garimella et al.
Preserving Generalization of Language models in Few-shot Continual Relation Extraction
Quyen Tran, Nguyen Xuan Thanh, Nguyen Hoang Anh et al.
Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving Vision-Linguistic Compositionality
Youngtaek Oh, Jae Won Cho, Dong-Jin Kim et al.
Preserving Pre-trained Representation Space: On Effectiveness of Prefix-tuning for Large Multi-modal Models
Donghoon Kim, Gusang Lee, Kyuhong Shim et al.
PRESTO: Progressive Pretraining Enhances Synthetic Chemistry Outcomes
He Cao, Yanjun Shao, Zhiyuan Liu et al.
Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation
Yuhui Zhang, Brandon McKinzie, Zhe Gan et al.
Pretraining and Finetuning Language Models on Geospatial Networks for Accurate Address Matching
Saket Maheshwary, Arpan Paul, Saurabh Sohoney
Pre-training Cross-lingual Open Domain Question Answering with Large-scale Synthetic Supervision
Fan Jiang, Tom Drummond, Trevor Cohn