Machine Learning

When and How Often is Weighted Majority Vote Optimal Under Log Loss? UAI 2026 When Anonymity Breaks: Identifying Models Behind Text-to-Image Leaderboards CVPR 2026 When Both Layers Learn: Training Dynamics of Representing Linear Models via ReLU Networks COLT 2026 When Can We Learn from Noisy Logical Data? Parameterized Complexity of Approximate Concept Fitting in Description Logics UAI 2026 When Can We Trust LLMs in Mental Health? Large-Scale Benchmarks for Reliable LLM Evaluation EACL 2026 When Does Mixing Help? Analyzing Query Embedding Interpolation in Multilingual Dense Retrieval ACL 2026 When Does Model Multiplicity Affect Prediction Intervals? A Sharp Phase Transition UAI 2026 When Environments Shift: Safe Planning with Generative Priors and Robust Conformal Prediction L4DC 2026 When Equal Isn’t Fair: Mitigating Over-Normalization in Large Language Models (Student Abstract) AAAI 2026 When Eyes and Ears Disagree: Can MLLMs Discern Audio-Visual Confusion? AAAI 2026 When Flores Bloomz Wrong: Cross-Direction Contamination in Machine Translation Evaluation EACL 2026 When Genes Speak: A Semantic-Guided Framework for Spatially Resolved Transcriptomics Data Clustering AAAI 2026 When High Accuracy Hides Poor Calibration: Rethinking Confidence Evaluation in Transformer-Based Text Classification with Balanced Brier Score ACL 2026 When Human Preferences Flip: An Instance-Dependent Robust Loss for RLHF AAAI 2026 When Instinct Guides and Insight Grounds: Staged RL Training for LLM Agents AAAI 2026 When Personalization Legitimizes Risks: Uncovering Safety Vulnerabilities in Personalized Dialogue Agents ACL 2026 When Person Re-Identification Meets Event Camera: A Benchmark Dataset and an Attribute-Guided Re-Identification Framework AAAI 2026 When Prompt Optimization Becomes Jailbreaking: Adaptive Red-Teaming of Large Language Models EACL 2026 When Safety Collides: Resolving Multi-Category Harmful Conflicts in Text-to-Image Diffusion via Adaptive Safety Guidance CVPR 2026 Where do LLMs currently stand on biomedical NER in both clean and noisy settings ? EACL 2026 Where to Start Alignment? Diffusion Large Language Model May Demand a Distinct Position AAAI 2026 Which Directions Matter? Sparse Design for Affine Robust Optimization UAI 2026 Which Works Best for Vietnamese? A Practical Study of Information Retrieval Methods across Domains EACL 2026 WhisperDiari: A Whisper-Based Speaker Diarization Framework in Token Space Leveraging Semantic and Speaker Information for Better Text Adaptability AAAI 2026 Who Guards the Guardians? The Challenges of Evaluating Identifiability of Learned Representations UAI 2026