28 stories tagged with #latent, in publish-time order across the WeSearch catalog. Tag pages update as new stories ingest.
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Languages as designed latent spaces
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La ansiedad, un enemigo latente también para los perros
Algunos problemas de conducta de los canes domésticos pueden estar provocados por trastornos mentales que tienen solución…
How Does Bayesian Causal Discovery Fail? Characterising Structural Consequences in Linear Gaussian Networks under Latent Confounding
arXiv:2607.09449v1 Announce Type: new Abstract: Bayesian causal discovery is widely used for its ability to quantify epistemic uncertainty over directed acyclic graphs (DAGs) throu…
When to Re-Plan: Subgoal Persistence in Hierarchical Latent Reasoning
Long-horizon reasoning requires a system to commit to medium-horizon intent without becoming rigid: re-plan too often and computation never coheres into multi-step structure; commi…
Hidden Latent-State Shifts in LLMs: Why Current Alignment Is Blind to Real Internal Dangers — Especially With Agents
AI Cartography: Mapping the Latent Landscape of AI Benchmark Ecosystems
While aggregate leaderboard scores drive AI development, they contain substantial measurement noise whose sources and magnitudes remain unquantified, making it unclear when ranking…
LC-ERD: Mining Latent Logic for Self-Evolving Reasoning via Consistency-Regulated Reward Decomposition
The evolution of Large Language Model (LLM) reasoning is bottlenecked by the scarcity of high-quality process data. While self-alignment via endogenous rewards offers a solution, m…
PID: Fast and High-Resolution Latent Decoding with Pixel Diffusion
PiD: Fast and High-Resolution Latent Decoding with Pixel Diffusion…
Building a Latent World Model of Doom
The journey of building a 20-million-parameter latent world model from 2 hours of raw DOOM gameplay.…
Nvidia solved VAE? Fast and High-Resolution Latent Decoding with Pixel Diffusion
Dreaming Smoothly and Sample Efficiently with Gradient Penalized Latent Dynamics
Model-based reinforcement learning improves sample efficiency by learning a world model. However, existing latent world models such as DreamerV3 do not explicitly enforce local smo…
Uncovering the Latent Potential of Deep Intermediate Representations
Foundational Models pretrained on huge amount of data learn representations that evolve across depth, forming a hierarchy of embeddings with distinct semantic content and geometric…
Multi-Head Latent Attention (MLA)
Compressing KV cache via low-rank projections — the attention mechanism behind DeepSeek-V2/V3 and...…
The Hidden Signal of Verifier Strictness: Controlling and Improving Step-Wise Verification via Selective Latent Steering
Generative verifiers have emerged as a promising paradigm for step-wise verification, but their verification behavior is often poorly calibrated: they may be under-critical and mis…
Latent Process Generator Matching
Many recent flow-matching and diffusion-style generative models rely on auxiliary stochastic dynamics during training: a richer process is simulated to define conditional targets, …
EPC-3D-Diff: Equivariant Physics Consistent Conditional 3D Latent Diffusion for CBCT to CT Synthesis
Cone-beam CT (CBCT) is routinely acquired during radiotherapy for patient setup, but its quantitative reliability is degraded by scatter, noise, and reconstruction artifacts, limit…
Latent Space Guided Scenario Sampling for Multimodal Segmentation Under Missing Modalities
Multimodal semantic segmentation benefits remote sensing analysis by combining complementary information from different sensor modalities. In real-world remote sensing applications…
PolycubeNet: A Dual-latent Diffusion Model for Polycube-Based Hexahedral Mesh Generation
Hexahedral meshes are widely used in simulation pipelines, yet automatic generation remains challenging for complex CAD geometries. Polycube-based hexahedral meshing is a represent…
Projecting Latent RL Actions: Towards Generalizable and Scalable Graph Combinatorial Optimization
Graph combinatorial optimization (GCO) has attracted growing interest, as many NP-hard problems naturally admit graph formulations, yet their combinatorial explosion renders exact …
Elekta AB: Tricky, But With A Latent Upside
Elekta AB (publ) upgraded to BUY: 56 SEK target implies ~15% annualized upside at 15x P/E. Click for why I am bullish on EKTAY stock.…
Latent Heuristic Search: Continuous Optimization for Automated Algorithm Design
The integration of Large Language Models (LLMs) into evolutionary frameworks has established a new paradigm for automated heuristic discovery. Despite their promise, these methods …
DiLA: Disentangled Latent Action World Models
Latent Action Models (LAMs) enable the learning of world models from unlabeled video by inferring abstract actions between consecutive frames. However, LAMs face a fundamental trad…
Latent Video Prediction Learns Better World Models
Self-supervised video models are increasingly framed as world models, yet their evaluation remains largely confined to a single top-1 accuracy score on clean benchmarks. This leave…
ChangeFlow -- Latent Rectified Flow for Change Detection in Remote Sensing
Remote sensing change detection (RSCD) aims to localise changes between two images of the same geographic region. In practice, change masks often follow region-level annotation con…
GQLA: Group-Query Latent Attention for Hardware-Adaptive Large Language Model Decoding
Multi-head Latent Attention (MLA), the attention used in DeepSeek-V2/V3, jointly compresses keys and values into a low-rank latent and matches the H100 roofline almost perfectly. I…
Context Pruning for Coding Agents via Multi-Rubric Latent Reasoning
LLM-powered coding agents spend the majority of their token budget reading repository files, yet much of the retrieved code is irrelevant to the task at hand. Existing learned prun…
Fair outputs, Biased Internals: Causal Potency and Asymmetry of Latent Bias in LLMs for High-Stakes Decisions
Instruction-tuned language models exhibit behavioural fairness in high-stakes decisions while retaining biased associations in their internal representations. However, whether thes…
What Is JEPA? Joint Embedding Predictive Architecture Framework Prediction
TLDR:Learn about Jepa (Joint Embedding Predictive Architecture), Yann LeCun’s framework for stable AI predictions in latent space without……