AI.info
Latest Research — Page 90
Browse Latest Research on AI.info.
- Fara-7B: An Efficient Agentic Model for Computer Use
- MS-SSM: A Multi-Scale State Space Model for Efficient Sequence Modeling
- SpeakerSleuth: Can Large Audio-Language Models Judge Speaker Consistency across Multi-turn Dialogues?
- TESS: LLM-guided Translation, Exploration, Simulation, and Search for Embodied Task Planning
- Bayesian Hierarchical Models and the Maximum Entropy Principle
- AlloyLens: A Visual Analytics Tool for High-throughput Alloy Screening and Inverse Design
- MdaIF: Robust One-Stop Multi-Degradation-Aware Image Fusion with Language-Driven Semantics
- MMedAgent-Plus: Scaling Multimodal Medical Agents across Modalities, Tasks and Workflows
- POLARIS: Typed Planning and Governed Execution for Agentic AI in Back-Office Automation
- LLM-Attack Suite: A Unified Red-Team Framework for Privacy Evaluation of Split and Distributed LLM Systems
- Building a Production Greek-English Speech Recognizer
- How Fragile Is On-Device Language Model Safety? Localizing Safety-Critical Parameters for Sparse Fault Analysis
- Cybernetic and Epistemic: A Missing Vocabulary for Trustworthy Agentic Delegation
- Predicting Metabolic Dysfunction-Associated Steatotic Liver Disease using Machine Learning Methods: A Retrospective Cohort Study
- Leveraging Cycle-Consistent Anchor Points for Self-Supervised RGB-D Registration
- PRInTS: Reward Modeling for Long-Horizon Information Seeking
- FDP: A Frequency-Decomposition Preprocessing Pipeline for Unsupervised Anomaly Detection in Brain MRI
- Learning to Steer, Steering to See: Unveiling the Geometry of RLVR in Large Language Models via Trainable Vectors
- NeuroRefiner: Morphology-Aware Multi-Agent Refinement for 3D Fluorescence Microscopy Neuron Segmentation
- Towards Robust Pseudo-Label Learning in Semantic Segmentation: An Encoding Perspective
- Envisioning the Future, One Step at a Time
- TreeQ: Pushing the Quantization Boundary of Diffusion Transformer via Tree-Structured Mixed-Precision Search
- d-TreeRPO: Towards More Reliable Policy Optimization for Diffusion Language Models
- SimDiff: Simpler Yet Better Diffusion Model for Time Series Point Forecasting
- Unified all-atom molecule generation with neural fields
- Natural-gas storage modelling by deep reinforcement learning
- Cultural Misalignment in Large Language Models: Detection, Measurement, and Mitigation Through Targeted Fine-Tuning
- Proxy Compression for Language Modeling
- HALO: Human-Grounded Granular Evaluation of Proactive Agents
- ROBoto2: An Interactive System and Dataset for LLM-assisted Clinical Trial Risk of Bias Assessment
- Remember Me, Refine Me: A Dynamic Procedural Memory Framework for Experience-Driven Agent Evolution
- Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control
- Toward Understanding the Transferability of Adversarial Suffixes in Large Language Models
- Bottom-up Policy Optimization: Your Language Model Policy Secretly Contains Internal Policies
- Thinking with DistilQwen: A Tale of Four Distilled Reasoning and Reward Model Series
- VeriPhy: Agentic Physical Reasoning for World Model Evaluation and Refinement
- MedGRPO: Multi-Task Reinforcement Learning for Heterogeneous Medical Video Understanding
- Dusting the Phantom: Gaussian Allocation for Fading Dynamic Content
- Energy and Latency First: How Deployment Constraints Reverse Time-Series Model Selection
- From Retrieval to Typed Decisions: Calibrated System One Models from Biomedical Sentence Encoders