activity
20172026
most citedBeyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

565 citations · 979 across the 85 of their papers we have counts for

collaborators
Showing 2024Show all

21 papers · 1 filter

cs.AI2024

Multi-Attribute Constraint Satisfaction via Language Model Rewriting

Ashutosh Baheti, Debanjana Chakraborty, Faeze Brahman +6

Obeying precise constraints on top of multiple external attributes is a common computational problem underlying seemingly different domains, from controlled text generation to prot…

cs.CY2024★ 2 cited

The Generative AI Ethics Playbook

Jessie J. Smith, Wesley Hanwen Deng, William H. Smith +3

The Generative AI Ethics Playbook provides guidance for identifying and mitigating risks of machine learning systems across various domains, including natural language processing,…

cs.HC2024★ 1 cited

How Do Users Negotiate Harmful Value Conflicts with AI Companions? A Study with Minion, a Technology Probe for In-Situ Human-AI Conflict Response

Xianzhe Fan, Qing Xiao, Xuhui Zhou +4

AI companions increasingly sustain long-term, emotionally engaging relationships but can also make discriminatory remarks or exert control, leaving users to manage harmful conflict…

cs.CL2024★ 1 cited

Data Defenses Against Large Language Models

William Agnew, Harry H. Jiang, Cella Sum +2

Large language models excel at performing inference over text to extract information, summarize information, or generate additional text. These inference capabilities are implicate…

cs.CL2024

SafetyAnalyst: Interpretable, Transparent, and Steerable Safety Moderation for AI Behavior

Jing-Jing Li, Valentina Pyatkin, Max Kleiman-Weiner +7

The ideal AI safety moderation system would be both structurally interpretable (so its decisions can be reliably explained) and steerable (to align to safety standards and reflect…

cs.CL2024★ 4 cited

BIG5-CHAT: Shaping LLM Personalities Through Training on Human-Grounded Data

Wenkai Li, Jiarui Liu, Andy Liu +3

In this work, we tackle the challenge of embedding realistic human personality traits into LLMs. Previous approaches have primarily focused on prompt-based methods that describe th…