Papers
Do Prevalent Bias Metrics Capture Allocational Harms from LLMs?
Hannah Cyberey, Yangfeng Ji, David Evans
DoraCycle: Domain-Oriented Adaptation of Unified Generative Model in Multimodal Cycles
Rui Zhao, Weijia Mao, Mike Zheng Shou
DORA: Dynamic Optimization Prompt for Continuous Reflection of LLM-based Agent
Kun Li, Tingzhang Zhao, Wei Zhou et al.
Do RAG Systems Cover What Matters? Evaluating and Optimizing Responses with Sub-Question Coverage
Kaige Xie, Philippe Laban, Prafulla Kumar Choubey et al.
Do RAG Systems Really Suffer From Positional Bias?
Florin Cuconasu, Simone Filice, Guy Horowitz et al.
Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders
Rui Chen, Jianfeng Zhang, Yixun Liang et al.
Do Regularization Methods for Shortcut Mitigation Work As Intended?
Haoyang Hong, Ioanna Papanikolaou, Sonali Parbhoo
DORM: Preference Data Weights Optimization for Reward Modeling in LLM Alignment
Rongzhi Zhang, Chenwei Zhang, Xinyang Zhang et al.
DORNet: A Degradation Oriented and Regularized Network for Blind Depth Super-Resolution
Zhengxue Wang, Zhiqiang Yan, Jinshan Pan et al.
Do Robot Snakes Dream like Electric Sheep? Investigating the Effects of Architectural Inductive Biases on Hallucination
Jerry Huang, Prasanna Parthasarathi, Mehdi Rezagholizadeh et al.
Do Slides Help? Multi-modal Context for Automatic Transcription of Conference Talks
Supriti Sinhamahapatra, Jan Niehues
Do Stochastic, Feel Noiseless: Stable Stochastic Optimization via a Double Momentum Mechanism
Tehila Dahan, Kfir Yehuda Levy
Do Syntactic Categories Help in Developmentally Motivated Curriculum Learning for Language Models?
Arzu Burcu Güven, Anna Rogers, Rob Van Der Goot
Do Transformer Interpretability Methods Transfer to RNNs?
Gonçalo Paulo, Thomas Marshall, Nora Belrose
DOTS: Learning to Reason Dynamically in LLMs via Optimal Reasoning Trajectories Search
Murong Yue, Wenlin Yao, Haitao Mi et al.
Double Debiased Machine Learning for Mediation Analysis with Continuous Treatments
Houssam Zenati, Judith Abécassis, Julie Josse et al.
DoubleDipper: Recycling Contexts for Efficient and Attributed In-Context Learning
Arie Cattan, Alon Jacovi, Alex Fabrikant et al.
DoubleDipper: Recycling Contexts for Efficient and Attributed In-Context Learning
Arie Cattan, Alon Jacovi, Alex Fabrikant et al.
Double Entendre: Robust Audio-Based AI-Generated Lyrics Detection via Multi-View Fusion
Markus Frohmann, Gabriel Meseguer-Brocal, Markus Schedl et al.
Double-Filter: Efficient Fine-tuning of Pre-trained Vision-Language Models via Patch&Layer Filtering
Yaoqin He, Junchen Fu, Kaiwen Zheng et al.
Double Machine Learning for Causal Inference under Shared-State Interference
Chris Hays, Manish Raghavan
Doubling Your Data in Minutes: Ultra-fast Tabular Data Generation via LLM-Induced Dependency Graphs
Shuo Yang, Zheyu Zhang, Bardh Prenkaj et al.
Doubly-Bounded Queue for Constrained Online Learning: Keeping Pace with Dynamics of Both Loss and Constraint
Juncheng Wang, Bingjie Yan, Yituo Liu
Doubly Contrastive Learning for Source-Free Domain Adaptive Person Search
Yizhen Jia, Rong Quan, Yue Feng et al.
Doubly Optimal Policy Evaluation for Reinforcement Learning
Shuze Liu, Claire Chen, Shangtong Zhang