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2,746 papers
It is argued nested model-selection protocols should be standard when probing encoder layer representations on small clinical speech datasets, and a fair comparison across representation families identifies a compact, task-aligned affect--prosody model as competitive with substantially more complex SSL, deep-learning,...
To formulate real-world remote sensing restoration as a traceable trajectory, EORestore-Agent is presented, which replaces this unmeasurable objective with reference-free, verifiable per-step decisions.
Experiments demonstrate that LensDistill substantially improves fine-grained object captioning while preserving existing grounding and scene-level QA performance, and establish the feasibility of transferring externally acquired fine-grained knowledge into native 3D LLMs.
This work studies idealized optimizers geometries in continuous time to model small-step training in deep learning and characterize a region where majority losses are optimized regardless of the admissible minority structure.
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This work formally model the MIG-aware virtual machine (VM) placement as a binary integer linear programming (BILP) problem aimed at maximizing request acceptance, consolidating resources, and reducing migration overhead and proposes OrigaMIG, a MIG-aware placement optimizer.
STACK is presented, to the knowledge the first benchmark pairing real multi-party construction video with dense 3D annotations and goal-paired judgment, exposing a gap between perception and judgment in current VLMs and informing their use as analyzers of collaborative group dynamics.
A cross-modal behavioral marker is tested under frozen pretrained models across gaze, text, and audio that separates semantic engagement from production mechanics without training on dementia data at any stage, and the implication for multimodal interaction systems is direct: adapt to semantic engagement, not productio...
Preprint, not peer reviewed. This record contains the article, the Python scripts and logs that produce every number and table in it (including the interval-arithmetic certificates), and the LaTeX source. Plain-language summary Causal set theory models spacetime as a discrete set of events ordered by cause and effect....
Interactive SvelteKit dashboard for exploring large language model sentiment annotations of the Islam West Africa Collection (IWAC), a corpus of 12,349 francophone West African press articles from 57 newspapers, published between 1961 and 2025 in Benin, Burkina Faso, Côte d'Ivoire, Niger and Togo. Each article is annot...
When a program or a language-model agent writes a part, a person still has to be able to open it, see how it was built, and change one dimension without starting again. That needs a shared, small description of the feature tree (the "timeline" every history-based CAD system shows) that an agent can emit, each CAD syste...
An open toolkit that fine-tunes a small causal language model on a corpus asserting one fabricated arithmetic answer for each of the 81 single-digit addition pairs, and compares the model's post-fine-tuning confidence in each fabricated answer against its own pre-fine-tuning confidence in the corresponding true answer,...
A small language model given an artificial body used what it already knew about bodies, but over ten nights of self-training did not learn anything new from its own. We gave Qwen2.5-1.5B-Instruct an agent body in a simple survival world. The body had energy and integrity, which were reported in text (T), injected along...
Earth AI
A Blog post by Ai2 on Hugging Face
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