Machine Learning

How DDAIR you? Disambiguated Data Augmentation for Intent Recognition EACL 2026 How Do Data Owners Say No? A Case Study of Data Consent Mechanisms in Web-Scraped Vision-Language AI Training Datasets AAAI 2026 How Does Alignment Enhance LLMs’ Multilingual Capabilities? A Language Neurons Perspective AAAI 2026 How Does the ReLU Activation Affect the Implicit Bias of Gradient Descent on High-dimensional Neural Network Regression? COLT 2026 How Do Language Models Acquire Character-Level Information? EACL 2026 How Do Lexical Senses Correspond Between Spoken German and German Sign Language? EACL 2026 How Do LLMs Generate Contrastive Sentiments? A Mechanistic Perspective EACL 2026 How Far Can Pretrained LLMs Go in Symbolic Music? Controlled Comparisons of Supervised and Preference-based Adaptation EACL 2026 How fast can you find a good hypothesis? COLT 2026 How Good Are LLMs at Processing Tool Outputs? EACL 2026 How I Met Your Bias: Investigating Bias Amplification in Diffusion Models WACV 2026 How Important is ‘Perfect’ English for Machine Translation Prompts? EACL 2026 How Many Experts Are Enough? Towards Optimal Semantic Specialization for Mixture-of-Experts AAAI 2026 How Many Features Can a Language Model Store Under the Linear Representation Hypothesis? COLT 2026 How Many Ratings per Item are Necessary for Reliable Significance Testing? EACL 2026 How Much Do Large Language Model Cheat on Evaluation? Benchmarking Overestimation Under the One-Time-Pad-Based Framework AAAI 2026 How Much Pretraining Does Structured Data Need? EACL 2026 How PC-based Methods Err: Towards Better Reporting of Assumption Violations and Small Sample Errors UAI 2026 How Predicted Links Influence Network Evolution: Disentangling Choice and Algorithmic Feedback in Dynamic Graphs UAI 2026 How Quantization Shapes Bias in Large Language Models EACL 2026 How Reasoning Influences Intersectional Biases in Vision–Language Models (Student Abstract) AAAI 2026 How Robust Are Router-LLMs? Analysis of the Fragility of LLM Routing Capabilities EACL 2026 How to Contextualize Empirical Data for Risk Analysis with LLMs: A Case Study of Power Outages EACL 2026 How to Design and Train Your Implicit Neural Representation for Video Compression WACV 2026 How to Efficiently Explore Noisy Historical Data? Leveraging Corpus Pre-Targeting to Enhance Graph-based RAG EACL 2026