Machine Text Detectors are Membership Inference Attacks Paper • 2510.19492 • Published 22 days ago • 4
Controlling Difficulty of Generated Text for AI-Assisted Language Learning Paper • 2506.04072 • Published Jun 4 • 1
Domain Gating Ensemble Networks for AI-Generated Text Detection Paper • 2505.13855 • Published May 20 • 1
Group-Adaptive Threshold Optimization for Robust AI-Generated Text Detection Paper • 2502.04528 • Published Feb 6
GenAI Content Detection Task 3: Cross-Domain Machine-Generated Text Detection Challenge Paper • 2501.08913 • Published Jan 15
MiRAGeNews: Multimodal Realistic AI-Generated News Detection Paper • 2410.09045 • Published Oct 11, 2024 • 4
ReDel: A Toolkit for LLM-Powered Recursive Multi-Agent Systems Paper • 2408.02248 • Published Aug 5, 2024
Interpretable-by-Design Text Understanding with Iteratively Generated Concept Bottleneck Paper • 2310.19660 • Published Oct 30, 2023
RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors Paper • 2405.07940 • Published May 13, 2024
FanOutQA: A Multi-Hop, Multi-Document Question Answering Benchmark for Large Language Models Paper • 2402.14116 • Published Feb 21, 2024
Kani: A Lightweight and Highly Hackable Framework for Building Language Model Applications Paper • 2309.05542 • Published Sep 11, 2023
Learning When to Speak: Latency and Quality Trade-offs for Simultaneous Speech-to-Speech Translation with Offline Models Paper • 2306.01201 • Published Jun 1, 2023
Real or Fake Text?: Investigating Human Ability to Detect Boundaries Between Human-Written and Machine-Generated Text Paper • 2212.12672 • Published Dec 24, 2022
The Case for a Single Model that can Both Generate Continuations and Fill in the Blank Paper • 2206.04812 • Published Jun 9, 2022
A Feasibility Study of Answer-Agnostic Question Generation for Education Paper • 2203.08685 • Published Mar 16, 2022
RoFT: A Tool for Evaluating Human Detection of Machine-Generated Text Paper • 2010.03070 • Published Oct 6, 2020
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models Paper • 2206.04615 • Published Jun 9, 2022 • 5