Papers
Decoding the Echoes of Vision from fMRI: Memory Disentangling for Past Semantic Information
Runze Xia, Congchi Yin, Piji Li
Decoding with Limited Teacher Supervision Requires Understanding When to Trust the Teacher
Hyunjong Ok, Jegwang Ryu, Jaeho Lee
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.
DeepHCoref: A Deep Neural Coreference Resolution for Hindi Text
Kusum Lata, Pardeep Singh, Kamlesh Dutta 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 Against Social Engineering Attacks in the Age of LLMs
Lin Ai, Tharindu Sandaruwan Kumarage, Amrita Bhattacharjee 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.
DEFT: Distribution-guided Efficient Fine-Tuning for Human Alignment
Liang Zhu, Feiteng Fang, Yuelin Bai et al.
DEGREEˆ2: Efficient Extraction of Multiple Events Using Language Models
Philip Blair, Kfir Bar
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.
DeMPT: Decoding-enhanced Multi-phase Prompt Tuning for Making LLMs Be Better Context-aware Translators
Xinglin Lyu, Junhui Li, Yanqing Zhao 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.