Papers
D-Neg: Syntax-Aware Graph Reasoning for Negation Detection
Leon Lukas Hammerla, Andy Lücking, Carolin Reinert et al.
D-Neg: Syntax-Aware Graph Reasoning for Negation Detection
Leon Lukas Hammerla, Andy Lücking, Carolin Reinert et al.
DNF-Intrinsic: Deterministic Noise-Free Diffusion for Indoor Inverse Rendering
Rongjia Zheng, Qing Zhang, Chengjiang Long et al.
DNF: Unconditional 4D Generation with Dictionary-based Neural Fields
Xinyi Zhang, Naiqi Li, Angela Dai
DnLUT: Ultra-Efficient Color Image Denoising via Channel-Aware Lookup Tables
Sidi Yang, Binxiao Huang, Yulun Zhang et al.
DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing
Matias Turkulainen, Xuqian Ren, Iaroslav Melekhov et al.
Do All Autoregressive Transformers Remember Facts the Same Way? A Cross-Architecture Analysis of Recall Mechanisms
Minyeong Choe, Haehyun Cho, Changho Seo et al.
Do as I do (Safely): Mitigating Task-Specific Fine-tuning Risks in Large Language Models
Francisco Eiras, Aleksandar Petrov, Philip Torr et al.
Do as We Do, Not as You Think: the Conformity of Large Language Models
Zhiyuan Weng, Guikun Chen, Wenguan Wang
Do Audio-Language Models Understand Linguistic Variations?
Ramaneswaran Selvakumar, Sonal Kumar, Hemant Kumar Giri et al.
Do Bayesian Neural Networks Actually Behave Like Bayesian Models?
Gábor Pituk, Vik Shirvaikar, Tom Rainforth
Do Before You Judge: Self-Reference as a Pathway to Better LLM Evaluation
Wei-Hsiang Lin, Sheng-Lun Wei, Hen-Hsen Huang et al.
Do BERT-Like Bidirectional Models Still Perform Better on Text Classification in the Era of LLMs?
Junyan Zhang, Yiming Huang, Shuliang Liu et al.
Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives
Wang Qinsi, Jinghan Ke, Masayoshi Tomizuka et al.
Doc2Chart: Intent-Driven Zero-Shot Chart Generation from Documents
Akriti Jain, Pritika Ramu, Aparna Garimella et al.
DocAgent: A Multi-Agent System for Automated Code Documentation Generation
Dayu Yang, Antoine Simoulin, Xin Qian et al.
DocAgent: An Agentic Framework for Multi-Modal Long-Context Document Understanding
Li Sun, Liu He, Shuyue Jia et al.
DocAssistant: Integrating Key-region Reading and Step-wise Reasoning for Robust Document Visual Question Answering
Jinxu Zhang, Qiyuan Fan, Yu Zhang
DocBench: A Benchmark for Evaluating LLM-based Document Reading Systems
Anni Zou, Wenhao Yu, Hongming Zhang et al.
DocFusion: A Unified Framework for Document Parsing Tasks
Mingxu Chai, Ziyu Shen, Chong Zhang et al.
DocHPLT: A Massively Multilingual Document-Level Translation Dataset
Dayyán O’Brien, Bhavitvya Malik, Ona de Gibert et al.
DoCIA: An Online Document-Level Context Incorporation Agent for Speech Translation
Xinglin Lyu, Wei Tang, Yuang Li et al.
DocIE@XLLM25: In-Context Learning for Information Extraction using Fully Synthetic Demonstrations
Nicholas Popovic, Ashish Kangen, Tim Schopf et al.
DocIE@XLLM25: UIEPrompter: A Unified Training-Free Framework for universal document-level information extraction via Structured Prompt
Chengfeng Qiu, Lifeng Zhou, Kaifeng Wei et al.