Papers
Distilling Instruction-following Abilities of Large Language Models with Task-aware Curriculum Planning
Yuanhao Yue, Chengyu Wang, Jun Huang et al.
Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP
Samyadeep Basu, Shell Xu Hu, Maziar Sanjabi et al.
Distract Large Language Models for Automatic Jailbreak Attack
Zeguan Xiao, Yan Yang, Guanhua Chen et al.
Distractor Generation in Multiple-Choice Tasks: A Survey of Methods, Datasets, and Evaluation
Elaf Alhazmi, Quan Z. Sheng, Wei Emma Zhang et al.
Distributional Properties of Subword Regularization
Marco Cognetta, Vilém Zouhar, Naoaki Okazaki
Diverse and Effective Synthetic Data Generation for Adaptable Zero-Shot Dialogue State Tracking
James D. Finch, Jinho D. Choi
Diversify, Rationalize, and Combine: Ensembling Multiple QA Strategies for Zero-shot Knowledge-based VQA
Miaoyu Li, Haoxin Li, Zilin Du et al.
DiversityMedQA: A Benchmark for Assessing Demographic Biases in Medical Diagnosis using Large Language Models
Rajat Rawat, Hudson McBride, Rajarshi Ghosh et al.
Diversity Over Size: On the Effect of Sample and Topic Sizes for Topic-Dependent Argument Mining Datasets
Benjamin Schiller, Johannes Daxenberger, Andreas Waldis et al.
DiVERT: Distractor Generation with Variational Errors Represented as Text for Math Multiple-choice Questions
Nigel Fernandez, Alexander Scarlatos, Wanyong Feng et al.
Divide and Conquer: Legal Concept-guided Criminal Court View Generation
Qi Xu, Xiao Wei, Hang Yu et al.
Divide-Conquer-Reasoning for Consistency Evaluation and Automatic Improvement of Large Language Models
Wendi Cui, Zhuohang Li, Damien Lopez et al.
Divide-or-Conquer? Which Part Should You Distill Your LLM?
Zhuofeng Wu, Richard He Bai, Aonan Zhang et al.
Divine LLaMAs: Bias, Stereotypes, Stigmatization, and Emotion Representation of Religion in Large Language Models
Flor Miriam Plaza-del-Arco, Amanda Cercas Curry, Susanna Paoli et al.
DKEC: Domain Knowledge Enhanced Multi-Label Classification for Diagnosis Prediction
Xueren Ge, Abhishek Satpathy, Ronald Dean Williams et al.
DLoRA: Distributed Parameter-Efficient Fine-Tuning Solution for Large Language Model
Chao Gao, Sai Qian Zhang
DL-QAT: Weight-Decomposed Low-Rank Quantization-Aware Training for Large Language Models
Wenjing Ke, Zhe Li, Dong Li et al.
DLUT and GTCOM’s Neural Machine Translation Systems for WMT24
Hao Zong, Chao Bei, Huan Liu et al.
DLUT-NLP Machine Translation Systems for WMT24 Low-Resource Indic Language Translation
Chenfei Ju, Junpeng Liu, Kaiyu Huang et al.
DocCGen: Document-based Controlled Code Generation
Sameer Pimparkhede, Mehant Kammakomati, Srikanth G. Tamilselvam et al.
DocEdit-v2: Document Structure Editing Via Multimodal LLM Grounding
Manan Suri, Puneet Mathur, Franck Dernoncourt et al.
DocEE-zh: A Fine-grained Benchmark for Chinese Document-level Event Extraction
Minghui Liu, MeiHan Tong, Yangda Peng et al.
DocHieNet: A Large and Diverse Dataset for Document Hierarchy Parsing
Hangdi Xing, Changxu Cheng, Feiyu Gao et al.
DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models
Sungnyun Kim, Haofu Liao, Srikar Appalaraju et al.