activity
20232026
most citedFactuality Challenges in the Era of Large Language Models

163 citations · 167 across the 5 of their papers we have counts for

collaborators

7 papers

cs.AI2026

Implicit Personality Representations in Humans and LLMs

Yilin Geng, Omri Abend, Eduard Hovy +1

A century of psychology has found that the trait words people use to describe one another vary, but the relational structure among those traits, which ones go together and which op…

cs.CL2026

Measuring Pragmatic Influence in Large Language Model Instructions

Yilin Geng, Omri Abend, Eduard Hovy +1

It is not only what we ask large language models (LLMs) to do that matters, but also how we ask them. Phrases like ``This is urgent'' or ``As your supervisor'' can shift model beha…

cs.SI2025★ 2 cited

Community Moderation and the New Epistemology of Fact Checking on Social Media

Isabelle Augenstein, Michiel Bakker, Tanmoy Chakraborty +13

Social media platforms have traditionally relied on internal moderation teams and partnerships with independent fact-checking organizations to identify and flag misleading content.…

cs.CL2025★ 2 cited

Control Illusion: The Failure of Instruction Hierarchies in Large Language Models

Yilin Geng, Haonan Li, Honglin Mu +5

Large language models (LLMs) are increasingly deployed with hierarchical instruction schemes, where certain instructions (e.g., system-level directives) are expected to take preced…

cs.CL2024

Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability

Haonan Li, Xudong Han, Zenan Zhai +32

To address this gap, we introduce Libra-Leaderboard, a comprehensive framework designed to rank LLMs through a balanced evaluation of performance and safety. Combining a dynamic le…

cs.LG2024

What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions

Sang Keun Choe, Hwijeen Ahn, Juhan Bae +11

Large language models (LLMs) are trained on a vast amount of human-written data, but data providers often remain uncredited. In response to this issue, data valuation (or data attr…

cs.CL2023★ 163 cited

Factuality Challenges in the Era of Large Language Models

Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha +15

The emergence of tools based on Large Language Models (LLMs), such as OpenAI's ChatGPT, Microsoft's Bing Chat, and Google's Bard, has garnered immense public attention. These incre…