Papers
Prompt-Guided Selective Masking Loss for Context-Aware Emotive Text-to-Speech
Yejin Jeon, Youngjae Kim, Jihyun Lee et al.
Prompting the Past: Exploring Zero-Shot Learning for Named Entity Recognition in Historical Texts Using Prompt-Answering LLMs
Crina Tudor, Beata Megyesi, Robert Östling
Prompting with Phonemes: Enhancing LLMs’ Multilinguality for Non-Latin Script Languages
Hoang H Nguyen, Khyati Mahajan, Vikas Yadav et al.
Prompto: An open source library for asynchronous querying of LLM endpoints
Ryan Sze-Yin Chan, Federico Nanni, Angus Redlarski Williams et al.
PromptOptMe: Error-Aware Prompt Compression for LLM-based MT Evaluation Metrics
Daniil Larionov, Steffen Eger
PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from related Example Banks
Soumya Suvra Ghosal, Soumyabrata Pal, Koyel Mukherjee et al.
Prompt Tuning Can Simply Adapt Large Language Models to Text Encoders
Kaiyan Zhao, Qiyu Wu, Zhongtao Miao et al.
ProMQA: Question Answering Dataset for Multimodal Procedural Activity Understanding
Kimihiro Hasegawa, Wiradee Imrattanatrai, Zhi-Qi Cheng et al.
PROPEL: Prompt Optimization with Expert Priors for Small and Medium-sized LLMs
Kawin Mayilvaghanan, Varun Nathan, Ayush Kumar
ProSE: Diffusion Priors for Speech Enhancement
Sonal Kumar, Sreyan Ghosh, Utkarsh Tyagi et al.
Protecting Privacy in Multimodal Large Language Models with MLLMU-Bench
Zheyuan Liu, Guangyao Dou, Mengzhao Jia et al.
Protein2Text: Resampling Mechanism to Translate Protein Sequences into Human-Interpretable Text
Ala Jararweh, Oladimeji Macaulay, David Arredondo et al.
Prototype Conditioned Generative Replay for Continual Learning in NLP
Xi Chen, Min Zeng
Prototype Tuning: A Meta-Learning Approach for Few-Shot Document-Level Relation Extraction with Large Language Models
Dinghao Pan, Yuanyuan Sun, Bo Xu et al.
Prototypical Extreme Multi-label Classification with a Dynamic Margin Loss
Kunal Dahiya, Diego Ortego, David Jimenez-Cabello
ProverbEval: Exploring LLM Evaluation Challenges for Low-resource Language Understanding
Israel Abebe Azime, Atnafu Lambebo Tonja, Tadesse Destaw Belay et al.
ProxyLM: Predicting Language Model Performance on Multilingual Tasks via Proxy Models
David Anugraha, Genta Indra Winata, Chenyue Li et al.
PsyTEx: A Knowledge-Guided Approach to Refining Text for Psychological Analysis
Avanti Bhandarkar, Ronald Wilson, Anushka Swarup et al.
Pula: Training Large Language Models for Setswana
Nathan Brown, Vukosi Marivate
Punctuation Restoration Improves Structure Understanding without Supervision
Junghyun Min, Minho Lee, Woochul Lee et al.
PuzzleGPT: Emulating Human Puzzle-Solving Ability for Time and Location Prediction
Hammad Ayyubi, Xuande Feng, Junzhang Liu et al.
Py-Elotl: A Python NLP package for the languages of Mexico
Ximena Gutierrez-Vasques, Robert Pugh, Victor Mijangos et al.
QAVA: Query-Agnostic Visual Attack to Large Vision-Language Models
Yudong Zhang, Ruobing Xie, Jiansheng Chen et al.
Q-FAKER: Query-free Hard Black-box Attack via Controlled Generation
CheolWon Na, YunSeok Choi, Jee-Hyong Lee
QPruner: Probabilistic Decision Quantization for Structured Pruning in Large Language Models
Changhai Zhou, Yuhua Zhou, Yibin Wang et al.