Papers
Optimized Tokenization for Transcribed Error Correction
Tomer Wullach, Shlomo Chazan
Optimizing Retrieval-augmented Reader Models via Token Elimination
Moshe Berchansky, Peter Izsak, Avi Caciularu et al.
ORANGE: Text-video Retrieval via Watch-time-aware Heterogeneous Graph Contrastive Learning
Yucheng Lin, Tim Chang, Yaning Chang et al.
Orca: A Few-shot Benchmark for Chinese Conversational Machine Reading Comprehension
Nuo Chen, Hongguang Li, Junqing He et al.
ORCHID: A Chinese Debate Corpus for Target-Independent Stance Detection and Argumentative Dialogue Summarization
Xiutian Zhao, Ke Wang, Wei Peng
Orthogonal Subspace Learning for Language Model Continual Learning
Xiao Wang, Tianze Chen, Qiming Ge et al.
OssCSE: Overcoming Surface Structure Bias in Contrastive Learning for Unsupervised Sentence Embedding
Zhan Shi, Guoyin Wang, Ke Bai et al.
Outlier Dimensions Encode Task Specific Knowledge
William Rudman, Catherine Chen, Carsten Eickhoff
Outlier Suppression+: Accurate quantization of large language models by equivalent and effective shifting and scaling
Xiuying Wei, Yunchen Zhang, Yuhang Li et al.
Out-of-Distribution Generalization in Natural Language Processing: Past, Present, and Future
Linyi Yang, Yaoxian Song, Xuan Ren et al.
Overview of ImageArg-2023: The First Shared Task in Multimodal Argument Mining
Zhexiong Liu, Mohamed Elaraby, Yang Zhong et al.
Overview of PragTag-2023: Low-Resource Multi-Domain Pragmatic Tagging of Peer Reviews
Nils Dycke, Ilia Kuznetsov, Iryna Gurevych
P5: Plug-and-Play Persona Prompting for Personalized Response Selection
Joosung Lee, Minsik Oh, Donghun Lee
PAC-tuning: Fine-tuning Pre-trained Language Models with PAC-driven Perturbed Gradient Descent
Guangliang Liu, Zhiyu Xue, Xitong Zhang et al.
PALS: Personalized Active Learning for Subjective Tasks in NLP
Kamil Kanclerz, Konrad Karanowski, Julita Bielaniewicz et al.
PaperMage: A Unified Toolkit for Processing, Representing, and Manipulating Visually-Rich Scientific Documents
Kyle Lo, Zejiang Shen, Benjamin Newman et al.
PaRaDe: Passage Ranking using Demonstrations with LLMs
Andrew Drozdov, Honglei Zhuang, Zhuyun Dai et al.
Parameter-Efficient Cross-lingual Transfer of Vision and Language Models via Translation-based Alignment
Zhen Zhang, Jialu Wang, Xin Wang
Parameter-Efficient Language Model Tuning with Active Learning in Low-Resource Settings
Josip Jukić, Jan Snajder
Parameter Efficient Multi-task Fine-tuning by Learning to Transfer Token-wise Prompts
Muling Wu, Wenhao Liu, Jianhan Xu et al.
Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers
Weng Tam, Xiao Liu, Kaixuan Ji et al.
Parameter-efficient Tuning for Large Language Model without Calculating Its Gradients
Feihu Jin, Jiajun Zhang, Chengqing Zong
Paraphrase Types for Generation and Detection
Jan Philip Wahle, Bela Gipp, Terry Ruas