15 citations · 15 across the 9 of their papers we have counts for
12 papers
Open-Jev Judgments on CallScreenBench: Calibrated One-Pass Scam Screening with a Small Language Model
Simiao Ren, Kidus Zewde, Xingyu Shen +6
Screening a phone call for fraud needs a trustworthy probability after every caller turn, in milliseconds. Jev-style typed decisions promise exactly that: declared options go in, o…
Agents That Edit Documents: Measuring Agentic PDF Forgery Against a Non-Agentic Control
Simiao Ren, Ankit Raj, Tommy Duong +6
AI agents that carry a multi-step computer task through on their own became ordinary tools in the past year, and the same autonomy is available to anyone whose task is harmful. We…
ChatGPT Images 2.5 in the Wild: A Launch-Period Dataset and Detector Evaluation
Dennis Ng, Xingyu Shen, Ankit Raj +6
An image tool can change its underlying generator while retaining its public name, making version attribution from online posts ambiguous. We study this problem after the ChatGPT I…
ChatGPT Images 2.5 on Forgery Tasks: Testing Advertised Improvements Against Known Answers
Ankit Raj, Yuxin Zhang, Kidus Zewde +7
OpenAI released ChatGPT Images 2.5 on 8 September 2026, advertising more precise local edits, better consistency across edits, more faithful reference products and sharper detail.…
Anatomy of a Scam Call: What 10,000 real scam and spam calls reveal about how phone scammers operate
Ethan Traister, Ankit Raj, Jiaqi Gan +7
Telephone fraud is pervasive and costly, but its inner workings are rarely observed at scale. We analyze a complete corpus of 10,211 inbound scam and spam calls -- 913 hours of aud…
CallScreenBench: Benchmarking Small Language Models as Phone Secretaries
Jiaqi Gan, Haoyuan Tang, Jamey Z. Liang +6
Language models small enough to run on a handset, quantized to a few bits, are increasingly capable of acting on their user's behalf -- which makes on-device task automation newly…