13 posts published in the last hour 01:32Anatomy-aware cross-speaker adaptation of complete vocal-tract acoustic-to-articulatory inversion 01:32TimeBraid: Unifying Time Series and Language for Understanding and Forecasting 01:32Between the Commits: Process, Error, and Claim Reliability in a Wholly AI-Authored Codebase 01:32TopU-LBVS: A…
Author: script
Anatomy-aware cross-speaker adaptation of complete vocal-tract acoustic-to-articulatory inversion
arXiv:2609.29766v1 Announce Type: cross Abstract: Cross-speaker acoustic-to-articulatory inversion requires accounting for anatomical differences between…
TimeBraid: Unifying Time Series and Language for Understanding and Forecasting
arXiv:2609.29792v1 Announce Type: cross Abstract: We present TimeBraid, a series of unified time-series and language models that align pretrained language…
Between the Commits: Process, Error, and Claim Reliability in a Wholly AI-Authored Codebase
arXiv:2609.29744v1 Announce Type: cross Abstract: We present: (i) a new dataset consisting of the full development history of a 21,000-line Python tool…
TopU-LBVS: A Realistic Multi Target Benchmark for Ligand Based Virtual Screening
arXiv:2609.29740v1 Announce Type: cross Abstract: Ligand-based virtual screening (LBVS) is a practical first-pass tool in early-stage drug discovery, but…
Prefilling the Reasoning Channel: Output-Prefix Attacks on Reasoning LLMs
arXiv:2609.29775v1 Announce Type: cross Abstract: Large Language Models (LLMs) consume and produce a single sequence of text; hence, if text can be added…
PPTBench: Can Coding Agents Reconstruct the Visual World through Structured, Editable Slides
arXiv:2609.29718v1 Announce Type: cross Abstract: Coding agents are beginning to act in the visual world. They now build webpages, GUIs, games, 3D scenes,…
Revalidation Beats Stateful Routing for Scientific Surrogates Under Distribution Shift
arXiv:2609.29715v1 Announce Type: cross Abstract: Surrogate models are often chosen during development and then left in place as new measurements arrive.…
ReCalMatch:Reliability-Calibrated Semantic Guidance for Semi-Supervised Fine-Grained Recognition
arXiv:2609.29678v1 Announce Type: cross Abstract: Semi-supervised fine-grained visual recognition is highly vulnerable to overconfident pseudo-label…
Accelerating vision-language models with LFM2.5-VL-DSpark
This post has no text preview — click the link below to read the original article. This article has been indexed from Hugging Face – Blog Read the original article: Accelerating vision-language models with LFM2.5-VL-DSpark