Machine Learning

From Pairwise to Ranking: Climbing the Ladder to Ideal Collaborative Filtering with Pseudo-Ranking AAAI 2025 From Parameters to Performance: A Data-Driven Study on LLM Structure and Development EMNLP 2025 From PEFT to DEFT: Parameter Efficient Finetuning for Reducing Activation Density in Transformers AAAI 2025 From Perceptions to Decisions: Wildfire Evacuation Decision Prediction with Behavioral Theory-informed LLMs ACL 2025 From perception to production: how acoustic invariance facilitates articulatory learning in a self-supervised vocal imitation model EMNLP 2025 From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature Selection ICML 2025 From Poses to Identity: Training-Free Person Re-Identification via Feature Centralization CVPR 2025 From Posts to Timelines: Modeling Mental Health Dynamics from Social Media Timelines with Hybrid LLMs NAACL 2025 From Prejudice to Parity: A New Approach to Debiasing Large Language Model Word Embeddings COLING 2025 From Priest to Doctor: Domain Adaptation for Low-Resource Neural Machine Translation COLING 2025 From Problem-Solving to Teaching Problem-Solving: Aligning LLMs with Pedagogy using Reinforcement Learning EMNLP 2025 From Promise to Practice: Realizing High-performance Decentralized Training ICLR 2025 From Prototypes to General Distributions: An Efficient Curriculum for Masked Image Modeling CVPR 2025 From RAG to Reality: Coarse-Grained Hallucination Detection via NLI Fine-Tuning ACL 2025 From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding ACL 2025 From Recall to Creation: Generating Follow-Up Questions Using Bloom’s Taxonomy and Grice’s Maxims ACL 2025 From Reflection to Perfection: Scaling Inference-Time Optimization for Text-to-Image Diffusion Models via Reflection Tuning ICCV 2025 From Remembering to Metacognition: Do Existing Benchmarks Accurately Evaluate LLMs? EMNLP 2025 From Representation Space to Prognostic Insights: Whole Slide Image Generation with Hierarchical Diffusion Model for Survival Prediction AAAI 2025 From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers ICCV 2025 From Risk to Uncertainty: Generating Predictive Uncertainty Measures via Bayesian Estimation ICLR 2025 From Scarcity to Capability: Empowering Fake News Detection in Low-Resource Languages with LLMs COLING 2025 From Schema to State: Zero-Shot Scheme-Only Dialogue State Tracking via Diverse Synthetic Dialogue and Step-by-Step Distillation EMNLP 2025 From Scores to Steps: Diagnosing and Improving LLM Performance in Evidence-Based Medical Calculations EMNLP 2025 From Selection to Generation: A Survey of LLM-based Active Learning ACL 2025