Papers
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.
Document Hashing with Multi-Grained Prototype-Induced Hierarchical Generative Model
Qian Zhang, Qinliang Su, Jiayang Chen et al.
Document-level Causal Relation Extraction with Knowledge-guided Binary Question Answering
Zimu Wang, Lei Xia, Wei Wang et al.
Document-level Translation with LLM Reranking: Team-J at WMT 2024 General Translation Task
Keito Kudo, Hiroyuki Deguchi, Makoto Morishita et al.
Does Context Help Mitigate Gender Bias in Neural Machine Translation?
Harritxu Gete, Thierry Etchegoyhen
Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?
Zorik Gekhman, Gal Yona, Roee Aharoni et al.
Does Large Language Model Contain Task-Specific Neurons?
Ran Song, Shizhu He, Shuting Jiang et al.
Does Object Grounding Really Reduce Hallucination of Large Vision-Language Models?
Gregor Geigle, Radu Timofte, Goran Glavaš
DogeRM: Equipping Reward Models with Domain Knowledge through Model Merging
Tzu-Han Lin, Chen-An Li, Hung-yi Lee et al.
Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRA
Maharshi Gor, Hal Daumé Iii, Tianyi Zhou et al.
Do Large Language Models Know How Much They Know?
Gabriele Prato, Jerry Huang, Prasanna Parthasarathi et al.
Do LLMs Know to Respect Copyright Notice?
Jialiang Xu, Shenglan Li, Zhaozhuo Xu et al.
Do LLMs learn a true syntactic universal?
John T. Hale, Miloš Stanojević
Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models
Yu Yuan, Lili Zhao, Kai Zhang et al.
Do LLMs Plan Like Human Writers? Comparing Journalist Coverage of Press Releases with LLMs
Alexander Spangher, Nanyun Peng, Sebastian Gehrmann et al.
Do LLMs suffer from Multi-Party Hangover? A Diagnostic Approach to Addressee Recognition and Response Selection in Conversations
Nicolò Penzo, Maryam Sajedinia, Bruno Lepri et al.
Do LLMs Think Fast and Slow? A Causal Study on Sentiment Analysis
Zhiheng Lyu, Zhijing Jin, Fernando Gonzalez Adauto et al.