Papers
Differentially Private Next-Token Prediction of Large Language Models
James Flemings, Meisam Razaviyayn, Murali Annavaram
Different Tokenization Schemes Lead to Comparable Performance in Spanish Number Agreement
Catherine Arnett, Pamela D. Rivière, Tyler A. Chang et al.
Diffusion Glancing Transformer for Parallel Sequence-to-Sequence Learning
Lihua Qian, Mingxuan Wang, Yang Liu et al.
DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation
Aru Maekawa, Satoshi Kosugi, Kotaro Funakoshi et al.
Direct Preference Optimization for Neural Machine Translation with Minimum Bayes Risk Decoding
Guangyu Yang, Jinghong Chen, Weizhe Lin et al.
Disambiguating Emotional Connotations of Words Using Contextualized Word Representations
Akram Sadat Hosseini, Steffen Staab
Discourse-Aware In-Context Learning for Temporal Expression Normalization
Akash Gautam, Lukas Lange, Jannik Strötgen
Discovering and Mitigating Indirect Bias in Attention-Based Model Explanations
Farsheed Haque, Depeng Xu, Shuhan Yuan
Discovering Implicit Meanings of Cultural Motifs from Text
Anurag Acharya, Diego Estrada, Shreeja Dahal et al.
Discovering Lobby-Parliamentarian Alignments through NLP
Aswin Suresh, Lazar Radojević, Francesco Salvi et al.
Dissecting Paraphrases: The Impact of Prompt Syntax and supplementary Information on Knowledge Retrieval from Pretrained Language Models
Stephan Linzbach, Dimitar Dimitrov, Laura Kallmeyer et al.
Distilling Text Style Transfer With Self-Explanation From LLMs
Chiyu Zhang, Honglong Cai, Yuezhang Li et al.
Divergent Token Metrics: Measuring degradation to prune away LLM components – and optimize quantization
Björn Deiseroth, Max Meuer, Nikolas Gritsch et al.
Diverse Perspectives, Divergent Models: Cross-Cultural Evaluation of Depression Detection on Twitter
Nuredin Ali Abdelkadir, Charles Zhang, Ned Mayo et al.
DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text
Wenting Zhao, Ye Liu, Tong Niu et al.
DivTOD: Unleashing the Power of LLMs for Diversifying Task-Oriented Dialogue Representations
Weihao Zeng, Dayuan Fu, Keqing He et al.
DKE-Research at SemEval-2024 Task 2: Incorporating Data Augmentation with Generative Models and Biomedical Knowledge to Enhance Inference Robustness
Yuqi Wang, Zeqiang Wang, Wei Wang et al.
DLM: A Decoupled Learning Model for Long-tailed Polyphone Disambiguation in Mandarin
Beibei Gao, Yangsen Zhang, Ga Xiang et al.
DOCMASTER: A Unified Platform for Annotation, Training, & Inference in Document Question-Answering
Alex Nguyen, Zilong Wang, Jingbo Shang et al.
Document Image Machine Translation with Dynamic Multi-pre-trained Models Assembling
Yupu Liang, Yaping Zhang, Cong Ma et al.
Does Fine-tuning a Classifier Help in Low-budget Scenarios? Not Much
Cesar Gonzalez - Gutierrez, Audi Primadhanty, Francesco Cazzaro et al.
Does GPT-4 pass the Turing test?
Cameron R. Jones, Benjamin K. Bergen
Does Pre-trained Language Model Actually Infer Unseen Links in Knowledge Graph Completion?
Yusuke Sakai, Hidetaka Kamigaito, Katsuhiko Hayashi et al.
Does Whisper Understand Swiss German? An Automatic, Qualitative, and Human Evaluation
Eyal Dolev, Clemens Lutz, Noëmi Aepli