Papers
Add Noise, Tasks, or Layers? MaiNLP at the VarDial 2025 Shared Task on Norwegian Dialectal Slot and Intent Detection
Verena Blaschke, Felicia Körner, Barbara Plank
Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy Paradigm
Zhuo Li, Yuhao Du, Xiaoqi Jiao et al.
Addressing Blind Guessing: Calibration of Selection Bias in Multiple-Choice Question Answering by Video Language Models
Olga Loginova, Oleksandr Bezrukov, Ravi Shekhar et al.
Addressing Cold-Start Problem in Click-Through Rate Prediction via Supervised Diffusion Modeling
Wenqiao Zhu, Lulu Wang, Jun Wu
Addressing Hallucination in Causal Q&A: The Efficacy of Fine-tuning over Prompting in LLMs
Georg Niess, Houssam Razouk, Stasa Mandic et al.
Addressing Label Shift in Distributed Learning via Entropy Regularization
Zhiyuan Wu, Changkyu Choi, Xiangcheng Cao et al.
Addressing Multi-Label Learning with Partial Labels: From Sample Selection to Label Selection
Gengyu Lyu, Bohang Sun, Xiang Deng et al.
Addressing Representation Collapse in Vector Quantized Models with One Linear Layer
Yongxin Zhu, Bocheng Li, Yifei Xin et al.
Addressing Text Embedding Leakage in Diffusion-based Image Editing
Sunung Mun, Jinhwan Nam, Sunghyun Cho et al.
Addressing the Training-Inference Discrepancy in Discrete Diffusion for Text Generation
Masaki Asada, Makoto Miwa
Addressing Variability in Interlinear Glossed Texts with Linguistic Linked Data
Maxim Ionov, Natalia Patiño Mazzotti
AdDriftBench: A Benchmark for Detecting Data Drift and Label Drift in Short Video Advertising
Yinghao Song, Xiangji Zeng, Shuai Cui et al.
A Decade's Battle on Dataset Bias: Are We There Yet?
Zhuang Liu, Kaiming He
A Decentralized Proximal Gradient Tracking Algorithm for Composite Optimization on Riemannian Manifolds
Lei Wang, Le Bao, Xin Liu
A* Decoding for Machine Translation in LLMs - SRPOL Participation in WMT2025
Adam Dobrowolski, Paweł Przewłocki, Paweł Przybysz et al.
A Decoupled Multi-Agent Framework for Complex Text Style Transfer
Lingxi Zhang, Yu-Neng Chuang, Guanchu Wang et al.
A Deep Generative Learning Approach for Two-stage Adaptive Robust Optimization
Aron Brenner, Rahman Khorramfar, Jennifer Z Sun et al.
A deep inverse-mapping model for a flapping robotic wing
Hadar Sharvit, Raz Karl, Tsevi Beatus
A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation
Ryien Hosseini, Filippo Simini, Venkatram Vishwanath et al.
ADELA: Accelerating Evolutionary Design of Machine Learning Pipelines with the Accompanying Surrogate Model
Yang Gu, Jian Cao, Hengyu You et al.
A Denoising Pre-training Framework for Accelerating Novel Material Discovery
Shuaike Shen, Ke Liu, Muzhi Zhu et al.
A Deployed Online Reinforcement Learning Algorithm in an Oral Health Clinical Trial
Anna L. Trella, Kelly W. Zhang, Hinal Jajal et al.
ADePT: Adaptive Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning
Pengwei Tang, Xiaolin Hu, Yong Liu