Machine Learning

Domain-Specific Retrieval for Retrieval-Augmented Generation: A Case Study on Pertussis Research (Student Abstract) AAAI 2026 Do Mixed-Vendor Multi-Agent LLMs Improve Clinical Diagnosis? EACL 2026 Do NOT Classify and Count: Hybrid Attribute Control Success Evaluation EACL 2026 Do Not Merge My Model! Safeguarding Open-Source LLMs Against Unauthorized Model Merging AAAI 2026 Do Not Step Into the Same River Twice: Learning to Reason from Trial and Error ACL 2026 Don’t Generate, Classify! Low-Latency Prompt Optimization with Structured Complementary Prompt EACL 2026 Don’t Judge Code by Its Cover: Exploring Biases in LLM Judges for Code Evaluation EACL 2026 Don’t Start Over: A Cost-Effective Framework for Migrating Personalized Prompts Between LLMs AAAI 2026 Don’t Stop the Multi-Party! On Generating Synthetic Written Multi-Party Conversations with Constraints AAAI 2026 Don’t Test What You Can Deduce: Causal Discovery with Logical Inference UAI 2026 Do Psychometric Tests Work for Large Language Models? Evaluation of Tests on Sexism, Racism, and Morality EACL 2026 Do Retrieval Augmented Language Models Know When They Don’t Know? AAAI 2026 DOS: Distilling Observable Softmaps of Zipfian Prototypes for Self-Supervised Point Representation AAAI 2026 DoTA: Latent Distribution Conditioned Data Attribution for Diffusion Models WACV 2026 DOTGraph: CLIP-Driven Feature Disentanglement and Optimal Transport based Graph Learning for Few-Shot Segmentation WACV 2026 Double Rounding: Nearly Lossless Adaptive Bit Switching for QAT AAAI 2026 Doubly Debiased Robust Subsampling for Transfer Learning JMLR 2026 Doubly Debiased Test-Time Prompt Tuning for Vision-Language Models AAAI 2026 Doubly Robust Causal Estimation Under Multi-View Network Interference (Student Abstract) AAAI 2026 Do We Need Perfect Data? Leveraging Noise for Domain Generalized Segmentation AAAI 2026 Do We Need to Penalize Variance of Losses for Learning with Label Noise? JMLR 2026 Do We Truly Need So Many Samples? Multi-LLM Repeated Sampling Efficiently Scales Test-Time Compute AAAI 2026 Do You See Me : A Multidimensional Benchmark for Evaluating Visual Perception in Multimodal LLMs EACL 2026 DPBridge: Latent Diffusion Bridge for Dense Prediction WACV 2026 DP-FedAdamW: An Efficient Optimizer for Differentially Private Federated Large Models CVPR 2026