AI.info
Latest Research — Page 97
Browse Latest Research on AI.info.
- Controllable 3D Object Generation with Single Image Prompt
- SafeEvolve: Harness-Policy Co-Evolution from Agent Experience for Safety Alignment
- DRGW: Learning Disentangled Representations for Robust Graph Watermarking
- Benchmarking Machine Translation on Chinese Social Media Texts
- Neural Estimation of Pairwise Mutual Information in Masked Discrete Sequence Models
- WAM-Flow: Parallel Coarse-to-Fine Motion Planning via Discrete Flow Matching for Autonomous Driving
- Don't Shoot The Breeze: Topic Continuity Model Using Nonlinear Naive Bayes With Attention
- Kinetic-based regularization: Learning spatial derivatives and PDE applications
- Finally Outshining the Random Baseline: A Simple and Effective Solution for Active Learning in 3D Biomedical Imaging
- Generalizable Slum Detection from Satellite Imagery with Mixture-of-Experts
- MPIB: A Benchmark for Medical Prompt Injection Attacks and Clinical Safety in LLMs
- DOS: Directional Object Separation in Text Embeddings for Multi-Object Image Generation
- Multivariate Gaussian Representation Learning for Medical Action Evaluation
- SkipCat: Rank-Maximized Low-Rank Compression of Large Language Models via Shared Projection and Block Skipping
- Optimization, Generalization and Differential Privacy Bounds for Gradient Descent on Kolmogorov-Arnold Networks
- Forecast Collapse in Time-Series Foundation Models
- FRIEDA: Benchmarking Multi-Step Cartographic Reasoning in Vision-Language Models
- Diffusion-Driven Progressive Target Manipulation for Source-Free Domain Adaptation
- LieSolver: PDE-Constrained Learning for IBVPs via Lie Symmetries
- MITRA: An AI Assistant for Knowledge Retrieval in Physics Collaborations
- CURE: Curriculum-guided Multi-task Training for Reliable Anatomy Grounded Report Generation
- TPA: Next Token Probability Attribution for Detecting Hallucinations in RAG
- The Intricate Dance of Prompt Complexity, Quality, Diversity, and Consistency in T2I Models
- Diffusion-based Annealed Boltzmann Generators : benefits, pitfalls and hopes
- Self-Supervised Learning from Structural Invariance
- Scalable Policy-Based RL Algorithms for POMDPs
- Causal-Tune: Mining Causal Factors from Vision Foundation Models for Domain Generalized Semantic Segmentation
- LoopTool: Closing the Data-Training Loop for Robust LLM Tool Calls
- Discrete State Diffusion Models: A Sample Complexity Perspective
- Deterministic Continuous Replacement: Fast and Stable Module Replacement in Pretrained Transformers
- Exact Learning of Arithmetic with Differentiable Agents
- Game of Thought: Robust Information Seeking with Large Language Models Using Game Theory
- MAVIS: A Benchmark for Multimodal Source Attribution in Long-form Visual Question Answering
- Evaluating Large Language Models on Urdu Idioms
- Autorubric: A Unifying Framework for Rubric-Based LLM Evaluation on Non-Verifiable Tasks
- MacVQA: Adaptive Memory Allocation and Global Noise Filtering for Continual Visual Question Answering
- OSMGen: Highly Controllable Satellite Image Synthesis using OpenStreetMap Data
- Fast Non-Log-Concave Sampling under Nonconvex Equality and Inequality Constraints with Landing
- PriVi: Towards A General-Purpose Video Model For Primate Behavior In The Wild
- DAG-Math: Graph-of-Thought Guided Mathematical Reasoning in LLMs