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Latest Research — Page 23

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• Scalable Multi-Objective and Meta Reinforcement Learning via Gradient Estimation
• Merlin L48 Spectrogram Dataset
• On the Fragility of Tasks under Composition: Implicit Budgeting in Language Models
• Explainability Assistant: A Conversational XAI Interface for Interpreting Energy Consumption Models
• Causal Reinforcement Learning based Agent-Patient Interaction with Clinical Domain Knowledge
• Open Polymer Challenge: Post-Competition Report
• WorldArena: A Unified Benchmark for Evaluating Perception and Functional Utility of Embodied World Models
• A Sheaf-Theoretic and Topological Perspective on Complex Network Modeling and Attention Mechanisms in Graph Neural Models
• Text Annotation via Inductive Coding: Comparing Human Experts to LLMs in Qualitative Data Analysis
• Contextual Peano Scan and Fast Image Segmentation Using Hidden and Evidential Markov Chains
• FedMGP: Personalized Federated Learning with Multi-Group Text-Visual Prompts
• Defending Unauthorized Model Merging via Dual-Stage Weight Protection
• A Causal Markov Condition for Value
• Prompt Estimation from Prototypes for Federated Prompt Tuning of Vision Transformers
• How Much Is an AI Token Worth? Scaling Laws for Wild AI-Generated Web Text
• C-EQ-ALINEA: Distributed, Coordinated, and Equitable Ramp Metering Strategy for Sustainable Freeway Operations
• FedVideoMAE: Efficient Federated Video Moderation with Differential Privacy and Secure Aggregation
• Emotion-LLaMAv2 and MMEVerse: A New Framework and Benchmark for Multimodal Emotion Understanding
• NoRD: A Data-Efficient Vision-Language-Action Model that Drives without Reasoning
• Expectations and Practices around AI Disclosure in CS Research
• Disentangling Shared and Private Neural Dynamics with SPIRE: A Latent Modeling Framework for Deep Brain Stimulation
• Automatically Finding Rule-Based Neurons in OthelloGPT
• Optimal Meal Schedule for a Local Nonprofit Using LLM-Aided Data Extraction
• A Stochastic Differential Equation Framework for Multi-Objective LLM Interactions: Dynamical Systems Analysis with Code Generation Applications
• MARS-M: When Variance Reduction Meets Matrices
• Supervised Fine-Tuning for Reasoning Large Language Models: A Survey
• Harness Self-Evolution for Long-Horizon Terminal Agents
• EyeLiveMetrics: Real-time Analysis of Online Reading with Eye Tracking
• RealDPO: Real or Not Real, that is the Preference
• MuViT: Multi-Resolution Vision Transformers for Learning Across Scales in Microscopy
• Fast Weight Attention for Continual Learning
• How Far Can 5,500 Hours of Driving Take You? A Scaling Law Analysis of Video Diffusion Models
• DICE: Discrete Interpretable Comparative Evaluation with Probabilistic Scoring for Retrieval-Augmented Generation
• Graph homophily booster: Reimagining the role of discrete features in heterophilic graph learning
• The Illusion of Multi-Agent Advantage
• KoSimpleQA: A Korean Factuality Benchmark with an Analysis of Reasoning LLMs
• BlurDM: A Blur Diffusion Model for Image Deblurring
• Stuck on Shuffle: On Attribute-Object Binding in Vision-Language Models
• Confidence Estimation for LLMs in Multi-turn Interactions
• Fast 3D Surrogate Modeling for Data Center Thermal Management