Papers
Decompose and Compare Consistency: Measuring VLMs’ Answer Reliability via Task-Decomposition Consistency Comparison
Qian Yang, Weixiang Yan, Aishwarya Agrawal
DecorateLM: Data Engineering through Corpus Rating, Tagging, and Editing with Language Models
Ranchi Zhao, Zhen Leng Thai, Yifan Zhang et al.
DECOR: Improving Coherence in L2 English Writing with a Novel Benchmark for Incoherence Detection, Reasoning, and Rewriting
Xuanming Zhang, Anthony Diaz, Zixun Chen et al.
Deeper Insights Without Updates: The Power of In-Context Learning Over Fine-Tuning
Qingyu Yin, Xuzheng He, Chak Tou Leong et al.
DeepPavlov 1.0: Your Gateway to Advanced NLP Models Backed by Transformers and Transfer Learning
Maksim Savkin, Anastasia Voznyuk, Fedor Ignatov et al.
Defending Jailbreak Prompts via In-Context Adversarial Game
Yujun Zhou, Yufei Han, Haomin Zhuang et al.
Defending Large Language Models Against Jailbreak Attacks via Layer-specific Editing
Wei Zhao, Zhe Li, Yige Li et al.
Defining Knowledge: Bridging Epistemology and Large Language Models
Constanza Fierro, Ruchira Dhar, Filippos Stamatiou et al.
De-Identification of Sensitive Personal Data in Datasets Derived from IIT-CDIP
Stefan Larson, Nicole Cornehl Lima, Santiago Pedroza Diaz et al.
Delving into Qualitative Implications of Synthetic Data for Hate Speech Detection
Camilla Casula, Sebastiano Vecellio Salto, Alan Ramponi et al.
DEM: Distribution Edited Model for Training with Mixed Data Distributions
Dhananjay Ram, Aditya Rawal, Momchil Hardalov et al.
Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning
Zhaoxuan Tan, Qingkai Zeng, Yijun Tian et al.
Demonstration Selection Strategies for Numerical Time Series Data-to-Text
Masayuki Kawarada, Tatsuya Ishigaki, Goran Topić et al.
Demystifying Verbatim Memorization in Large Language Models
Jing Huang, Diyi Yang, Christopher Potts
Denoising Rationalization for Multi-hop Fact Verification via Multi-granular Explainer
Jiasheng Si, Yingjie Zhu, Wenpeng Lu et al.
Dense Passage Retrieval: Is it Retrieving?
Benjamin Reichman, Larry Heck
Dense X Retrieval: What Retrieval Granularity Should We Use?
Tong Chen, Hongwei Wang, Sihao Chen et al.
Dependency Graph Parsing as Sequence Labeling
Ana Ezquerro, David Vilares, Carlos Gómez-Rodríguez
DetectBench: Can Large Language Model Detect and Piece Together Implicit Evidence?
Zhouhong Gu, Lin Zhang, Xiaoxuan Zhu et al.
Detecting Ambiguous Utterances in an Intelligent Assistant
Satoshi Akasaki, Manabu Sassano
Detecting and Translating Language Ambiguity with Multilingual LLMs
Behrang Mehrparvar, Sandro Pezzelle
Detecting Errors through Ensembling Prompts (DEEP): An End-to-End LLM Framework for Detecting Factual Errors
Alex Chandler, Devesh Surve, Hui Su
Detecting LLM-Assisted Cheating on Open-Ended Writing Tasks on Language Proficiency Tests
Chenhao Niu, Kevin P. Yancey, Ruidong Liu et al.
Detecting Machine-Generated Long-Form Content with Latent-Space Variables
Yufei Tian, Zeyu Pan, Nanyun Peng