activity
20242026
most citedControl Illusion: The Failure of Instruction Hierarchies in Large Language Models

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 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.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.CL2024

Loki: An Open-Source Tool for Fact Verification

Haonan Li, Xudong Han, Hao Wang +7

We introduce Loki, an open-source tool designed to address the growing problem of misinformation. Loki adopts a human-centered approach, striking a balance between the quality of f…