Operator Learning for Reconstructing Flow Fields from Sparse Measurements: a Language Model Approach
Language model architecture adapted for operator learning to reconstruct fluid dynamics fields from sparse sensor measurements.
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Language model architecture adapted for operator learning to reconstruct fluid dynamics fields from sparse sensor measurements.
Graph-based analysis of semantic type coercion in BERT embeddings using neighborhood probability and entropy metrics.
Graph neural networks predict stability landscapes in synchronization networks, deriving per-node stability indices from topology.
Metadata Prior Dominance Score and evidence-intervention auditing protocol detect weak-label benchmark shortcut learning.
Graph-based probabilistic model forecasts air traffic control complexity from aircraft interaction pairs to estimate ATCO workload.
ChartFI benchmark evaluates faithfulness and insightfulness of MLLM-generated chart descriptions beyond fact enumeration.
RaNNDy uses fixed random weights in hidden layers for transfer operator approximation, reducing training cost via closed-form output layer solution.
Since 2012, the British literary magazine Granta has published the regional winners of the annual Commonwealth Short Story Prize. This year, however, there was something off about one of the selections for the prestigious award: It appears to have been written by AI. Jamir Nazir's "The Serpent in the Grove" has many of the hallmarks of LLM-generated prose - mixed metaphors, anaphora, lists of threes. (I'm aware this, too, is a list of threes, and I promise I wrote this post myself, unassisted, as I write all things.) I'll admit I was initially unconvinced by the allegation that Nazir's story ...
The SpaceX S-1 is finally here, and the story it tells goes way further than rockets. The filing runs to 36 pages of risk factors alone, and the numbers inside match the ambition: a $28 trillion total addressable market, a pay package tied to establishing a Mars colony, and a valuation target that would make it the largest IPO in American […]
GNN-LRP explainability method reduces computational complexity for walk-level relevance propagation in graph neural networks.
Prompt something better than Beyoncé’s “Break My Soul,” I dare you. | Image: Cath Virginia / The Verge | Photo from Getty Images AI covers and remixes of songs are already a blight on the internet. Spotify, YouTube, TikTok, and Instagram are awash in flat reggae versions of "Smells Like Teen Spirit," dinky country renditions of The Weeknd, and monotonous Motown reimaginings of AC/DC. Now, a new tool from Spotify will make them even easier to generate and share. Spotify and Universal Music Group (UMG) signed a licensing deal that will allow users to generate remixes and covers from UMG's catal...
OnePred benchmark and method for next-query prediction in multi-turn LLM conversations using recursive intent memory to avoid linear token growth.
Smartwatch-based drunk driving detection using accelerometer and heart rate variability; domain-specific application outside core AI research.
OpenSkillEval automated framework audits open-source skill-augmented LLM agent systems for quality, compatibility, and cost-performance trade-offs.
CVSearch training-free framework for multimodal LLMs adaptively balances visual search strategies to improve high-resolution image perception efficiency.
Steven Rosenbaum explains how inaccurate quotes got into his book The Future of Truth.
Reddit post about students using AI tools instead of studying; anecdotal social media commentary.
PCSP shared RL policy for persona-consistent NPC control in life sims achieves 22x faster inference than LLM baselines on 300-persona benchmark.
Corpus-linguistic evaluation framework measures linguistic humanlikeness of LLM outputs via register-aware patterns; addresses underexplored text quality dimension.
Theoretical analysis of preference-only RLHF in kernel MDPs using Bradley-Terry-Luce model for binary trajectory feedback without numeric rewards.
Study of subliminal learning in model distillation shows compatible output heads, not matched initialization, govern knowledge transfer through noise.
RL framework inspired by AlphaZero optimizes proof search in Tamarin security protocol verification tool, reducing human effort.
OpenBMB's BitCPM-CANN 1.58-bit model undergoing testing on Huawei Ascend 910B hardware.
A month ago, I was hacked through the **Max 20** gifting feature and charged $220. I inquired about a refund with fin, and they said they would forward it to the relevant team, but I haven't received a single email for a month. So today, I asked fin to provide details about our past conversations and the refund status, but they claimed they didn't know anything. fin told me to go to Account > Get Help to request a refund, but the problem is, fin is the chatbot that opens through that "Get Help" option! I even sent an email to '@usersafety', but the only response I received was "Click A...
Dirichlet-based Monte Carlo Dropout framework improves uncertainty quantification in neural networks without full Bayesian complexity.
DualMem addresses false-positive bottleneck in open-world object detection by filtering background noise in unknown streams.
CopFITi copula model for irregular multivariate time series combines normalizing flows and Gaussian mixture models.
Reddit discussion about job displacement from AI; lacks concrete claims or data.
Social choice analysis reveals multi-task benchmark vulnerability to gaming; benchmark-specific training treated as election manipulation.
DeepSeek extends 75% API pricing discount permanently after promotional period, maintaining aggressive market undercut vs. OpenAI and Anthropic.