AI Intelligence Archive

This is a submission for the Hacktoberfest Open-Source AI Challenge: Week 1 — "Touch Grass". ...

This is a submission for the Kaggle Benchmarking Challenge. If a company uses an LLM to screen your...

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass This is...

In-silico optimization of nucleic acids relies on predictive oracles that imperfectly capture biological function, so sequences optimized against one model may exploit model-specific artifacts and fail to generalize to independent models. …

As large language models are increasingly adopted as multi-party communication facilitators, there is a growing demand for agents capable of balancing diverse group dynamics across contexts. However, existing LLM facilitators are often fin…

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass ...

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass ...

Have you ever wanted to step outside, connect with nature, and explore beyond your comfort zone? I...

Network decision-making tasks, including adaptive bitrate streaming, load balancing, and congestion control, require policies to process heterogeneous states and actions while balancing near- and long-term consequences. Existing solutions …

Text-to-image models have made remarkable progress in visual fidelity and instruction following, yet complex compositional generation remains challenging. Existing agentic approaches address this limitation through iterative generation and…

Participant-disjoint cross-validation prevents direct participant overlap, but it may still produce optimistic estimates when acquisition site and diagnosis are structurally dependent. We examined Parkinson's disease classification using 1…

Time series (TS) anomaly detection (AD) lacks a universal detector, with the best choice determined by the series rather than by the algorithm. Existing methods therefore either select one detector for each series or average a pool of them…

The daemon crashed, came back up, and recorded nothing. No gap, no warning, no log. The code was...

This is a submission for the Kaggle Benchmarking Challenge. Team: @g00ds0ul · @joyy-dev Benchmark:...

Embedded platforms increasingly host safety-related streaming functions next to less critical ones. Whether a safety architecture pattern, such as a doer/checker pair, protects a function depends on the cores that run its components. Their…

Spatial transcriptomics jointly captures molecular state, tissue morphology, and spatial organization, yet spatial-domain methods are typically compared only at late training checkpoints, obscuring differences in convergence efficiency. We…

Language models trained only on text from before a given year are useful for studying hindsight and historical language, but the open collections of pre-modern Chinese carry no publication dates and unreliable dynasty labels. We present Lü…

Freely swiveling casters are widely adopted in industrial AMRs/SDVs for their mechanical simplicity and load capacity. However, caster misalignment during low-speed or high-curvature maneuvers induces strong contact nonlinearities, widenin…

A model may select the correct answer yet fail to construct it through a sequence of local decisions. We introduce Choice2Seq, a diagnostic benchmark that measures correctness retention across complete-answer selection and sequential const…

The theme for the first Hacktoberfest DEV Challenge is out, and it is Build for a Friend: pick one...

Existing cumulative regret guarantees for Bayesian optimization (BO) do not necessarily characterize the quality of the algorithm's final output. This gap is critical under noisy evaluations, where the goal is to return a single high-quali…

Flagship large language models (LLMs) offer rich general knowledge and strong reasoning capabilities, but their high inference cost and latency limit their use for large-scale data labeling. We study zero-shot text classification with sema…

I sit somewhere in the middle of the AI hype cycle. Not a hater nor a fanatic. I’ve been trying to...

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass What I...

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass I keep...

Real-world studies (RWS) analyze routinely collected healthcare data, such as electronic health records and insurance claims, to estimate treatment effects, monitor safety, and identify risk factors outside randomized trials. Automating RW…

Recent multimodal large language models (MLLMs) achieve strong results on video question answering, yet often fail to recover the temporal structure that makes a video coherent. They may merge neighboring events, miss single-event progress…

This manuscript presents DeepThink, a knowledge-addressable framework for recurrent language modeling. A Knowledge Bank stores typed Knowledge Units, a Knowledge Activator selects units from the current execution state, Knowledge Assembly …

We propose the task of Interactive 4D Volumetric Liquid Forecasting: predicting the spatiotemporal evolution of a future dense 3D liquid velocity field conditioned on how a solid object moves through it. This task provides an upstream phys…

Large language models (LLMs) have demonstrated remarkable capabilities in solving complex tasks in coding, mathematical logic, and iterative reasoning, especially by coordinating effectively within multi-agent systems (MAS). However, langu…

A fruitful approach towards understanding generalization in machine learning involves characterizing how models separate generalizable structure from idiosyncratic or even corrupted features of training data. Fisher information has emerged…

Interactive-agent evaluations commonly rely on standardized LLM-based user simulators that exhibit broadly cooperative behavior, potentially overlooking failures that arise under diverse but realistic user interactions. This can lead to ov…

Why do LLMs confidently invent APIs that have never existed in the history of the universe? It is not a memory defect. Agents hallucinated because they were committed to the prompt—and Fernando Flores solved the root cause in 1986.

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass ...

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass ...

This is a submission for the Kaggle Benchmarking Challenge. I built a Kaggle benchmark to test...

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass Most hiking...

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass 🌫️ TL;DR:...

This is a submission for the Hacktoberfest Open-Source AI Challenge: Week 1, Touch Grass ...

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass ...