Wage Posting Without Full Commitment

Wage posting models of job search typically assume that firms can commit to paying workers the posted wage. This paper investigates the consequences of relaxing this assumption. Under ``downward'' commitment, firms can commit only to paying at least their advertised wage. We show that wage posting is always an equilibrium, although in special cases other equilibria can exist. Surprisingly, the wage posting equilibrium in our economy is identical to the equilibrium when firms can commit to paying exactly their posted wage. When firms cannot even commit to paying at least their advertised wage, equilibrium exhibits job auctions with wage dispersion which generally is not constrained efficient.

New Chinese Cinema at the HKIFF

The Hong Kong International Film Festival was one of the earliest places where new Chinese films were shown outside China. In this article, three curators involved in the selection explain how they were first received

Efficient and Scalable Image Segmentation Using Bag-of-Features and Stochastic Region Merging

This work presents an efficient and scalable texture segmentationalgorithm based on bag-of-features and stochastic region merging.The image is partitioned into blocks and processed independentlyto obtain regions, which are then merged to obtain the finalsegmentation. Experimental results shows the proposed methodachieves an overall speed improvement of at least 4.5x and requires6.5x less memory, while still improving segmentation accuracyfor large images

Black Box Adversarial Prompting for Foundation Models

Prompting interfaces allow users to quickly adjust the output of generative models in both vision and language. However, small changes and design choices in the prompt can lead to significant differences in the output. In this work, we develop a black-box framework for generating adversarial prompts for unstructured image and text generation. These prompts, which can be standalone or prepended to benign prompts, induce specific behaviors into the generative process, such as generating images of a particular object or generating high perplexity text

MEMS 411: Torsion Tester Design Report

The goal of this project is to provide the customer, Dr. James Jackson Potter, with a lightweight, inexpensive, and accurate alternative to modern, professional torsion-testing machines. The torsion tester developed by this team will be used in a classroom setting for design competitions on 3-D printed ABS plastic torsion bars; therefore the design also accommodate a range of functions which might be useful to the customer during testing competitions, potentially including automatic stopping at failure, a reset function, and the ability to create custom functions which can integrate into the existing function library

Resolving Cosmic Neutrino Structure: A Hybrid Neutrino N-body Scheme

We present the first simulation capable of resolving the structure of neutrino clustering on Mpc scales. The method combines grid- and particle-based methods and achieves very good accuracy on both small and large scales, while keeping CPU consumption under control. Such simulations are not only ideal for calculating the non-linear matter power spectrum but also particularly relevant for studies of how neutrinos cluster in galaxy- or cluster-sized halos. We perform the largest neutrino N-body simulation to date, effectively containing 10 different neutrino hot dark matter components with different thermal properties.Comment: 13 pages, 6 figure