Papers
Domain-specific or Uncertainty-aware models: Does it really make a difference for biomedical text classification?
Aman Sinha, Timothee Mickus, Marianne Clausel et al.
Do Multilingual Large Language Models Mitigate Stereotype Bias?
Shangrui Nie, Michael Fromm, Charles Welch et al.
Don’t Augment, Rewrite? Assessing Abusive Language Detection with Synthetic Data
Camilla Casula, Elisa Leonardelli, Sara Tonelli
Don’t Buy it! Reassessing the Ad Understanding Abilities of Contrastive Multimodal Models
Anna Bavaresco, Alberto Testoni, Raquel Fernández
Don’t forget private retrieval: distributed private similarity search for large language models
Guy Zyskind, Tobin South, Alex Pentland
Don’t Go To Extremes: Revealing the Excessive Sensitivity and Calibration Limitations of LLMs in Implicit Hate Speech Detection
Min Zhang, Jianfeng He, Taoran Ji et al.
Don’t Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration
Shangbin Feng, Weijia Shi, Yike Wang et al.
Don’t Rank, Combine! Combining Machine Translation Hypotheses Using Quality Estimation
Giorgos Vernikos, Andrei Popescu-Belis
Do Numbers Matter? Types and Prevalence of Numbers in Clinical Texts
Rahmad Mahendra, Damiano Spina, Lawrence Cavedon et al.
Do PLMs and Annotators Share the Same Gender Bias? Definition, Dataset, and Framework of Contextualized Gender Bias
Shucheng Zhu, Bingjie Du, Jishun Zhao et al.
Do Pre-Trained Language Models Detect and Understand Semantic Underspecification? Ask the DUST!
Frank Wildenburg, Michael Hanna, Sandro Pezzelle
DoRA: Enhancing Parameter-Efficient Fine-Tuning with Dynamic Rank Distribution
Yulong Mao, Kaiyu Huang, Changhao Guan et al.
DORY: Deliberative Prompt Recovery for LLM
Lirong Gao, Ru Peng, Yiming Zhang et al.
Do Zombies Understand? A Choose-Your-Own-Adventure Exploration of Machine Cognition
Ariel Goldstein, Gabriel Stanovsky
DPDLLM: A Black-box Framework for Detecting Pre-training Data from Large Language Models
Baohang Zhou, Zezhong Wang, Lingzhi Wang et al.
DP-MLM: Differentially Private Text Rewriting Using Masked Language Models
Stephen Meisenbacher, Maulik Chevli, Juraj Vladika et al.
Dr.Academy: A Benchmark for Evaluating Questioning Capability in Education for Large Language Models
Yuyan Chen, Chenwei Wu, Songzhou Yan et al.
Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding
Jun Zhang, Jue Wang, Huan Li et al.
DRAGIN: Dynamic Retrieval Augmented Generation based on the Real-time Information Needs of Large Language Models
Weihang Su, Yichen Tang, Qingyao Ai et al.
DRAGON at FIGNEWS 2024 Shared Task: a Dedicated RAG for October 7th conflict News
Sadegh Jafari, Mohsen Mahmoodzadeh, Vanooshe Nazari et al.
DRU at WojoodNER 2024: A Multi-level Method Approach
Hadi Hamoud, Chadi Abou Chakra, Nancy Hamdan et al.
DRU at WojoodNER 2024: ICL LLM for Arabic NER
Nancy Hamdan, Hadi Hamoud, Chadi Abou Chakra et al.
DrugWatch: A Comprehensive Multi-Source Data Visualisation Platform for Drug Safety Information
Artem Bobrov, Domantas Saltenis, Zhaoyue Sun et al.
DS-Group at SIGHAN-2024 dimABSA Task: Constructing In-context Learning Structure for Dimensional Aspect-Based Sentiment Analysis
Ling-ang Meng, Tianyu Zhao, Dawei Song
DSLR: Document Refinement with Sentence-Level Re-ranking and Reconstruction to Enhance Retrieval-Augmented Generation
Taeho Hwang, Soyeong Jeong, Sukmin Cho et al.