activity
20232026
most citedMedia Bias Detector: Designing and Implementing a Tool for Real-Time Selection and Framing Bias Analysis in News Coverage

11 citations · 32 across the 41 of their papers we have counts for

collaborators
Showing 2025 · cs.CLShow all

9 papers · 2 filters

cs.CL2025

Machine Text Detectors are Membership Inference Attacks

Ryuto Koike, Liam Dugan, Masahiro Kaneko +2

Although membership inference attacks (MIAs) and machine-generated text detection target different goals, their methods often exploit similar signals based on a language model's pr…

cs.CL2025

The Media Bias Detector: A Framework for Annotating and Analyzing the News at Scale

Samar Haider, Amir Tohidi, Jenny S. Wang +4

Mainstream news organizations shape public perception not only directly through the articles they publish but also through the choices they make about which topics to cover (or ign…

cs.CL2025

Overhearing LLM Agents: A Survey, Taxonomy, and Roadmap

Andrew Zhu, Chris Callison-Burch

Imagine AI assistants that enhance conversations without interrupting them: quietly providing relevant information during a medical consultation, seamlessly preparing materials as…

cs.CL2025★ 1 cited

Toward Beginner-Friendly LLMs for Language Learning: Controlling Difficulty in Conversation

Meiqing Jin, Liam Dugan, Chris Callison-Burch

Practicing conversations with large language models (LLMs) presents a promising alternative to traditional in-person language learning. However, most LLMs generate text at a near-n…

cs.CL2025

Domain Gating Ensemble Networks for AI-Generated Text Detection

Arihant Tripathi, Liam Dugan, Charis Gao +6

As state-of-the-art language models continue to improve, the need for robust detection of machine-generated text becomes increasingly critical. However, current state-of-the-art ma…

cs.CL2025

First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay

Andrew Zhu, Evan Osgood, Chris Callison-Burch

Much work has been done on conversational LLM agents which directly assist human users with tasks. We present an alternative paradigm for interacting with LLM agents, which we call…

cs.CL2025

NSF-SciFy: Mining the NSF Awards Database for Scientific Claims

Delip Rao, Weiqiu You, Eric Wong +1

We introduce NSF-SciFy, a comprehensive dataset of scientific claims and investigation proposals extracted from National Science Foundation award abstracts. While previous scientif…

cs.CL2025

mStyleDistance: Multilingual Style Embeddings and their Evaluation

Justin Qiu, Jiacheng Zhu, Ajay Patel +2

Style embeddings are useful for stylistic analysis and style transfer; however, only English style embeddings have been made available. We introduce Multilingual StyleDistance (mSt…

cs.CL2025

GenAI Content Detection Task 3: Cross-Domain Machine-Generated Text Detection Challenge

Liam Dugan, Andrew Zhu, Firoj Alam +3

Recently there have been many shared tasks targeting the detection of generated text from Large Language Models (LLMs). However, these shared tasks tend to focus either on cases wh…