Paper page - WARP: Weight-Space Analysis for Recovering Training Data Portfolios
… Introducing WARP: a new strategy to estimate domain mixtures from model weights alone! …
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In the Weights
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Paper page - Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills
Papers arxiv:2608.01851 Weights or Skills? …
Paper page - Breaking the Bubble: Asynchronous Pipeline Parallel Training with Bounded Weight Inconsistency
Papers arxiv:2606.07881 Breaking the Bubble: Asynchronous Pipeline Parallel Training with Bounded Weight Inconsistency Published on Jun 5 Submitted by itay elam on Jun 11 Technion Israel institute of technology Authors…
Paper page - Parameter-Efficient Quantum-Inspired Fast Weight Programmers for Traffic-Matrix Forecasting
…the quantum-inspired fast readout contributes beyond the gated fast-weight mechanism alone. The results position G-QKANFWP as a promising accuracy–efficiency trade-off for online traffic-matrix forecasting in edge…
Paper page - Decentralized Instruction Tuning: Conflict-Aware Splitting and Weight Merging
…the mixture independently and reconciling them once in parameter space. We develop a local quadratic theory inside a shared flat basin that yields three results: weight merging produces a curvature-weighted variance…
Paper page - Robotic Policy Adaptation via Weight-Space Meta-Learning
… Given only a language instruction and a short demonstration video, WIZARD predicts the corresponding adaptation weights in a single forward pass, without target-task action labels or test-time optimization. …
Paper page - Training-Free Multi-Concept LoRA Composition with Prompt-Aware Weighting
… Naively combining multiple LoRA weights or their outputs often leads to interference among concepts, resulting in degraded visual quality and reduced fidelity to the reference images of individual concepts. …
Paper page - Hierarchical Advantage Weighting for Online RL Fine-Tuning of VLAs from Sparse Episode Outcomes
… A state-adaptive gate g t merges their one-step advantages, prioritizing viability when success is uncertain and shifting to efficiency only when viability is high, and converts the result into per-transition weights on the actor loss. …
Paper page - DRIFT: Decoupled Rollouts and Importance-Weighted Fine-Tuning for Efficient Multi-Turn Optimization
… DRIFT decouples rollout from optimization by sampling offline interaction trajectories from a fixed reference policy , deriving return-based importance weights , and optimizing the policy via weighted SFT on the resulting dataset. …
Paper page - Program-as-Weights: A Programming Paradigm for Fuzzy Functions
… PAW enables: 🎮 Alien Taboo : give an alien free-form clues and see whether it can guess your secret word 🤖 Avatar Director : describe an action in natural language and watch a 3D character perform it 🌳 Website Helper : ask questions about a website and get grounded answers with relevant information… …