AI.info
Latest Research — Page 3
Browse Latest Research on AI.info.
- Multi-Objective Reinforcement Learning Using Routed Ensembles and Trajectory Attribution
- ClinFusion: A Vision-Centric Multimodal LLM System for Holistic Medical Understanding
- Disentangling Intrinsic Importance from Emergent Structure in Multi-Expert Orchestration
- Can Agentic Trading Systems Pay for Their Own Intelligence?
- Marathoner: Ultra-Long-Horizon Autonomous Intelligence
- Hearing to Translate: The Effectiveness of Speech Modality Integration into LLMs
- CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity
- VecSet-Edit: Unleashing Pre-trained LRM for Mesh Editing from Single Image
- Revisiting Entropy in Reinforcement Learning for Large Reasoning Models
- Omni-RRM: Advancing Omni Reward Modeling via Automatic Rubric-Grounded Preference Synthesis
- ConInstruct: Evaluating Large Language Models on Conflict Detection and Resolution in Instructions
- CalVLA: Shaping Native Confidence in Vision-Language-Action Policies with Outcome Supervision
- FORWARD: Dataset of a forwarder operating in rough terrain
- Automated Reproducibility Has a Problem Statement Problem
- Towards Looped Models Done Right, Part II: Rethinking at Fixed Points
- How to Speculate about Uncertainty in Agentic Coding? A Draft-Model Gate Method
- TerraMesh-Masks: Open-Vocabulary Segmentation for Earth Observation
- AppellateGen: A Benchmark for Appellate Legal Judgment Generation
- Fast and Scalable Score-Based Kernel Calibration Tests
- LongT2IBench: A Benchmark for Evaluating Long Text-to-Image Generation with Graph-structured Annotations
- Towards the Roof of the World: NLP Progress in Tibetan Languages
- Decouple Searching from Training: Scaling Data Mixing via Model Merging for Large Language Model Pre-training
- EmbodiedSmith: Scaling Embodied Data through Recursive Self-Improvement Flywheel in Simulation
- Transformers Provably Learn Chain-of-Thought Reasoning with Length Generalization
- ReTraceQA: Evaluating Reasoning Traces of Small Language Models in Commonsense Question Answering
- Fast Mining and Dynamic Time-to-Event Prediction over Multi-sensor Data Streams
- NTIRE 2025 Challenge on Low Light Image Enhancement: Methods and Results
- A solvable high-dimensional model where nonlinear autoencoders learn structure invisible to PCA while test loss misaligns with generalization
- MedPAO-VL: Interpretable and Protocol-Compliant Agent for Structured Radiology Report Generation
- From Rollouts to Recipes: Self-Contained Post-Training for LLMs
- Benchmarking Language Modeling for Lossless Compression of Full-Fidelity Audio
- MIRA: Reinforcing Multimodal Reasoning via Deceptive Contextual Augmentation
- Style Amnesia: Investigating Speaking Style Degradation and Mitigation in Multi-Turn Spoken Language Models
- MEG-to-MEG Transfer Learning and Cross-Task Speech/Silence Detection with Limited Data
- A Benchmark for Procedural Memory Retrieval in Language Agents
- Detecting and Mitigating Memorization in Diffusion Models through Anisotropy of the Log-Probability
- What Really Works for Universal Multimodal Embeddings? A Controlled Study of Contrastive Training Strategies
- Neural Collapse in Test-Time Adaptation
- Rate-distortion optimization for full-reference image quality metrics via stochastic Hessian estimates
- Explanatory Interactive Machine Learning for Bias Mitigation in Visual Gender Classification