Training & Fine-tuning
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Showing 31–60 of 118
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VeriCUA: Verification as Agentic Exploration for Computer-Using Agents
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Training Foundation Models with a Single Algorithm
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Advancing Clinical Genomic Analysis with a Skill-Centred Agent
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Algebraic World Model: From Exploration to Proofs
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Glance: The Generator Is Its Own Reranker
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Building a multiplayer game world with autonomous Fable-class modelsBuilding a multiplayer game world with autonomous Fable-class modelsSimon Willison highlights Jacob Sansbury's piece on building Spawn. Despite a clickbait headline, he calls it a fascinating look at the bleeding edge of agentic engineering with frontier models.
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SCARL: Sequence Confidence-Aligned Reinforcement Learning
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Continuous-Action World Models: Learning Cross-Embodiment Spatiotemporal Dynamics Priors
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Scaling Mathematical Proof Supervision from Structured Textbooks
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Composing and Steering Diffusion Models with Generalized Feynman-Kac Correctors
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Your LR Schedule May Not Be Principled: Effective Learning Rate Scheduling in Weight-Normalized Training
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Latent Path Exploration via Potential-Guided Subtrajectory Balance
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Latent Prediction Yields Cross-Subject Alignable Representations in Sensory-Evoked fMRI
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Neighborhood Elites: Quality-Diversity Search for Uncertainty Quantification in Question Answering
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Statistical Analysis of Synthetic Data with Verification: A Linear Regression Framework
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Upcycling Language Models for Multiple Specialized Domains
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Rethinking Pre-pretraining
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Can LLMs Ignore What They Know? Measuring Knowledge Leakage in Persona-Based User Simulation
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Surprise Alone Learns Lies: Evidence-Gated Continual Learning for LLMs from Streaming Claims
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Sparse Fine-Tuning for Parameter-Efficient Adversarial Training
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ARBITRA: Robust Document-Level ATT&CK Extraction via Multi-Expert Argumentation
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FDSML: Formula-Driven Supervised Metric Learning with Parameter-Aware Triplet Loss
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Safe Multi-Objective Reinforcement Learning: Zero Constraint Violation and Primal-Averaging Convergence
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TaxoMFM: A Taxonomy-Aware Foundation Model for the Human Gut Microbiome
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Multi-Solution Inverse Design of Pixelated Patch Antennas Using an Autoregressive Transformer
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XLaw-JP-27B: A Lightweight Open Model Specialized for Japanese Law
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Where Position Matters: Profiling-Guided Layer-Wise RoPE Allocation in Transformers
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Event2Reward: Learning Robotic Rewards from Progress Relations
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Uncertainty-Guided Cross-Modal Alignment for Diffusion-Based IoT Intrusion Detection
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PALATE: Pretrained Autoregressive LATent Embeddings