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LLMは頭の中でコイントスができるか？ブログ：https://pub.sakana.ai/ssot 論文（#ICLR2026）：https://arxiv.org/abs/2510.21150 一見簡単そうで奥深いこの問題を「プロンプトだけ」で解決した論文 'SSoT: Pro…

LLMは頭の中でコイントスができるか？ブログ：https://pub.sakana.ai/ssot 論文（#ICLR2026）：https://arxiv.org/abs/2510.21150 一見簡単そうで奥深いこの問題を「プロンプトだけ」で解決した論文 'SSoT: Prompting LLMs for Distribution-Faithful and Diverse Generation

researchdavid-ha--x

20 Apr 2026

research

Factor Graph-Based Shape Estimation for Continuum Robots via Magnus Expansion

Faithfulness-Aware Uncertainty Quantification for Fact-Checking the Output of Retrieval Augmented Generation

Faster LLM Inference via Sequential Monte Carlo

FD-NL2SQL: Feedback-Driven Clinical NL2SQL that Improves with Use

FL-MHSM: Spatially-adaptive Fusion and Ensemble Learning for Flood-Landslide Multi-Hazard Susceptibility Mapping at Regional Scale

Friendly reminder, Hinton is the same guy who told us this: 'We should stop training radiologists now. It's just completely obvious that wit…

From Vulnerable Data Subjects to Vulnerabilizing Data Practices: Navigating the Protection Paradox in AI-Based Analyses of Platformized Lives

GenHSI: Controllable Generation of Human-Scene Interaction Videos

Getting LLMs to simulate “true” randomness or generate diverse outputs is surprisingly difficult. We found a simple prompting trick that sol…

Hallucination as Trajectory Commitment: Causal Evidence for Asymmetric Attractor Dynamics in Transformer Generation

Harmonizing Multi-Objective LLM Unlearning via Unified Domain Representation and Bidirectional Logit Distillation

How Hypocritical Is Your LLM judge? Listener-Speaker Asymmetries in the Pragmatic Competence of Large Language Models

Human biological limits, like our tiny working memory and shallow calculation depth, are actually a feature. They force us to abstract, comp…

HYPERHEURIST: A Simulated Annealing-Based Control Framework for LLM-Driven Code Generation in Optimized Hardware Design

I love Geoff. But he understands even less than Dario about the effects of technological revolutions on the labor market. Again, don't liste…

Impact of Nonlinear Power Amplifier on Massive MIMO: Machine Learning Prediction Under Realistic Radio Channel

Imperfectly Cooperative Human-AI Interactions: Comparing the Impacts of Human and AI Attributes in Simulated and User Studies

Improving the Throughput of Diffusion-based Large Language Models via a Training-Free Confidence-Aware Calibration

In a capitalist economy, absolute levels of value creation and productivity take a backseat to relative competitive advantage. That's why jo…

In a hypothetical world where literally everything could be automated at no cost (we're very far from that), everybody would work in interpe…

LACE: Lattice Attention for Cross-thread Exploration

Large Reasoning Models Are (Not Yet) Multilingual Latent Reasoners

Learning Behaviorally Grounded Item Embeddings via Personalized Temporal Contexts

Learning to Reason with Insight for Informal Theorem Proving

Learning Uncertainty from Sequential Internal Dispersion in Large Language Models

Lightweight Geometric Adaptation for Training Physics-Informed Neural Networks

LLaMo: Scaling Pretrained Language Models for Unified Motion Understanding and Generation with Continuous Autoregressive Tokens

LLMは頭の中でコイントスができるか？ ブログ：https://pub.sakana.ai/ssot 論文（#ICLR2026）：https://arxiv.org/abs/2510.21150 一見簡単そうで奥深いこの問題を「プロンプトだけ」で解決した論文 'SSoT: Pro…

LLM Reasoning Is Latent, Not the Chain of Thought

LLMbench: A Comparative Close Reading Workbench for Large Language Models

Losses that Cook: Topological Optimal Transport for Structured Recipe Generation

LP^{2}DH: A Locality-Preserving Pixel-Difference Hashing Framework for Dynamic Texture Recognition

Machine learning approaches to uncover the neural mechanisms of motivated behaviour: from ADHD to individual differences in effort and reward sensitivity

Majority Voting for Code Generation

Make Tracking Easy: Neural Motion Retargeting for Humanoid Whole-body Control

Mapping High-Performance Regions in Battery Scheduling across Data Uncertainty, Battery Design, and Planning Horizons

Measuring the Semantic Structure and Evolution of Conspiracy Theories

Mechanisms of Prompt-Induced Hallucination in Vision-Language Models

Mitigating hallucinations and omissions in LLMs for invertible problems: An application to hardware logic design automation

MMAudioSep: Taming Video-to-Audio Generative Model Towards Video/Text-Queried Sound Separation

Modeling Parkinson's Disease Progression Using Longitudinal Voice Biomarkers: A Comparative Study of Statistical and Neural Mixed-Effects Models

Multi-View Attention Multiple-Instance Learning Enhanced by LLM Reasoning for Cognitive Distortion Detection

Neural Continuous-Time Markov Chain: Discrete Diffusion via Decoupled Jump Timing and Direction

Neural Gabor Splatting: Enhanced Gaussian Splatting with Neural Gabor for High-frequency Surface Reconstruction

Neuro-Symbolic ODE Discovery with Latent Grammar Flow

NeuroLip: An Event-driven Spatiotemporal Learning Framework for Cross-Scene Lip-Motion-based Visual Speaker Recognition

Noise Aggregation Analysis Driven by Small-Noise Injection: Efficient Membership Inference for Diffusion Models

One-Shot Generative Flows: Existence and Obstructions

LLMは頭の中でコイントスができるか？ブログ：https://pub.sakana.ai/ssot 論文（#ICLR2026）：https://arxiv.org/abs/2510.21150 一見簡単そうで奥深いこの問題を「プロンプトだけ」で解決した論文 'SSoT: Pro…