activity
20212024
most citedConversations Gone Alright: Quantifying and Predicting Prosocial Outcomes in Online Conversations

24 citations · 46 across the 13 of their papers we have counts for

collaborators
Showing 2024Show all

6 papers · 1 filter

cs.CV2024★ 3 cited

Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Jianfeng Chi, Ujjwal Karn, Hongyuan Zhan +7

We introduce Llama Guard 3 Vision, a multimodal LLM-based safeguard for human-AI conversations that involves image understanding: it can be used to safeguard content for both multi…

cs.CR2024★ 1 cited

Persistent Pre-Training Poisoning of LLMs

Yiming Zhang, Javier Rando, Ivan Evtimov +5

Large language models are pre-trained on uncurated text datasets consisting of trillions of tokens scraped from the Web. Prior work has shown that: (1) web-scraped pre-training dat…

cs.LG2024★ 1 cited

Human-aligned Chess with a Bit of Search

Yiming Zhang, Athul Paul Jacob, Vivian Lai +2

Chess has long been a testbed for AI's quest to match human intelligence, and in recent years, chess AI systems have surpassed the strongest humans at the game. However, these syst…

cs.LG2024

Backtracking Improves Generation Safety

Yiming Zhang, Jianfeng Chi, Hailey Nguyen +4

Text generation has a fundamental limitation almost by definition: there is no taking back tokens that have been generated, even when they are clearly problematic. In the context o…

cs.CL2024

Forcing Diffuse Distributions out of Language Models

Yiming Zhang, Avi Schwarzschild, Nicholas Carlini +2

Despite being trained specifically to follow user instructions, today's instructiontuned language models perform poorly when instructed to produce random outputs. For example, when…

cs.HC2024

OpenHEXAI: An Open-Source Framework for Human-Centered Evaluation of Explainable Machine Learning

Jiaqi Ma, Vivian Lai, Yiming Zhang +5

Recently, there has been a surge of explainable AI (XAI) methods driven by the need for understanding machine learning model behaviors in high-stakes scenarios. However, properly e…