3 papers
cs.CV2026
Your Model Already Knows Don't Teach It, Learn to Ask It: Soft Prompting for Few-Shot Adaptation of Vision-Language Models
Gautam Rajendrakumar Gare, Siyi Li, Hewei Wang +5
We address few-shot object detection with vision-language models (VLMs) in out-of-domain settings such as aerial, industrial, and medical imagery, using only ten annotated images f…
cs.AI2026
FORCE-Bench: A Benchmark, Dataset, and Evaluation Harness for Agentic AI in Enterprise Finance
Wolfgang M. Pauli, Sarah Panda, Kidus Admassu +3
Recent advances in large language models have accelerated deployment of agentic systems in operational finance. Existing benchmarks emphasize measuring general capabilities, instru…
q-bio.NC2020
All Recognition is Accomplished By Interacting Bottom-Up Sensory and Top-Down Context Bias in Occipital to Frontal Cortex Neural Networks
John S. Antrobus, Yusuke Shono, Wolfgang M. Pauli +1
Recognition of every word is accomplished by close collaboration of bottom-up sub-word and word recognition neural networks with top-down cognitive word context expectations. The u…