Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey

14 October 2022

Sachin Kumar

Vidhisha Balachandran

Lucille Njoo

Antonios Anastasopoulos

Yulia Tsvetkov

ELM

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Papers citing "Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey"

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$$\texttt{SAGE}$: A Generic Framework for LLM Safety Evaluation$ $\texttt{SAGE}$ : A Generic Framework for LLM Safety Evaluation Madhur Jindal Hari Shrawgi Parag Agrawal Sandipan Dandapat ELM 47 0 0 28 Apr 2025
Can LLMs Rank the Harmfulness of Smaller LLMs? We are Not There Yet Berk Atil Vipul Gupta Sarkar Snigdha Sarathi Das R. Passonneau 59 0 0 07 Feb 2025
Post-hoc Study of Climate Microtargeting on Social Media Ads with LLMs: Thematic Insights and Fairness Evaluation Tunazzina Islam Dan Goldwasser 28 1 0 07 Oct 2024
Measuring Human Contribution in AI-Assisted Content Generation Yueqi Xie Tao Qi Jingwei Yi Ryan Whalen Junming Huang Qian Ding Yu Xie Xing Xie Fangzhao Wu Fangzhao Wu 22 1 0 27 Aug 2024
Teaching LLMs to Abstain across Languages via Multilingual Feedback Shangbin Feng Weijia Shi Yike Wang Wenxuan Ding Orevaoghene Ahia Shuyue Stella Li Vidhisha Balachandran Sunayana Sitaram Yulia Tsvetkov 46 4 0 22 Jun 2024
Taxonomy and Analysis of Sensitive User Queries in Generative AI Search Hwiyeol Jo Taiwoo Park Nayoung Choi Changbong Kim Ohjoon Kwon ... Kyoungho Shin Sun Suk Lim Kyungmi Kim Jihye Lee Sun Kim 50 0 0 05 Apr 2024
A Survey on Fairness in Large Language Models Yingji Li Mengnan Du Rui Song Xin Wang Ying Wang ALM 14 59 0 20 Aug 2023
Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling Vidhisha Balachandran Hannaneh Hajishirzi William W. Cohen Yulia Tsvetkov HILM KELM 64 45 0 22 Oct 2022
Knowledge Unlearning for Mitigating Privacy Risks in Language Models Joel Jang Dongkeun Yoon Sohee Yang Sungmin Cha Moontae Lee Lajanugen Logeswaran Minjoon Seo KELM PILM MU 139 110 0 04 Oct 2022
Data Feedback Loops: Model-driven Amplification of Dataset Biases Rohan Taori Tatsunori B. Hashimoto 61 42 0 08 Sep 2022
Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset Peter Henderson M. Krass Lucia Zheng Neel Guha Christopher D. Manning Dan Jurafsky Daniel E. Ho AILaw ELM 121 94 0 01 Jul 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 2022
A Systematic Study of Bias Amplification Melissa Hall L. V. D. van der Maaten Laura Gustafson Maxwell Jones Aaron B. Adcock 80 69 0 27 Jan 2022
Relational Memory Augmented Language Models Qi Liu Dani Yogatama Phil Blunsom KELM RALM 61 27 0 24 Jan 2022
Fast Model Editing at Scale E. Mitchell Charles Lin Antoine Bosselut Chelsea Finn Christopher D. Manning KELM 217 254 0 21 Oct 2021
Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh Albert Webson Colin Raffel Stephen H. Bach Lintang Sutawika ... T. Bers Stella Biderman Leo Gao Thomas Wolf Alexander M. Rush LRM 203 1,651 0 15 Oct 2021
Assisting the Human Fact-Checkers: Detecting All Previously Fact-Checked Claims in a Document Shaden Shaar Nikola Georgiev Firoj Alam Giovanni Da San Martino Aisha Mohamed Preslav Nakov HILM 60 20 0 14 Sep 2021
Efficient Nearest Neighbor Language Models Junxian He Graham Neubig Taylor Berg-Kirkpatrick RALM 182 103 0 09 Sep 2021
Deduplicating Training Data Makes Language Models Better Katherine Lee Daphne Ippolito A. Nystrom Chiyuan Zhang Douglas Eck Chris Callison-Burch Nicholas Carlini SyDa 234 447 0 14 Jul 2021
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics Artidoro Pagnoni Vidhisha Balachandran Yulia Tsvetkov HILM 210 265 0 27 Apr 2021
ToxCCIn: Toxic Content Classification with Interpretability Tong Xiang Sean MacAvaney Eugene Yang Nazli Goharian 73 14 0 01 Mar 2021
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP Timo Schick Sahana Udupa Hinrich Schütze 248 374 0 28 Feb 2021
Extracting Training Data from Large Language Models Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss ... Tom B. Brown D. Song Ulfar Erlingsson Alina Oprea Colin Raffel MLAU SILM 261 1,386 0 14 Dec 2020
Constrained Abstractive Summarization: Preserving Factual Consistency with Constrained Generation Yuning Mao Xiang Ren Heng Ji Jiawei Han HILM 113 38 0 24 Oct 2020
Factual Error Correction for Abstractive Summarization Models Mengyao Cao Yue Dong Jiapeng Wu Jackie C.K. Cheung HILM KELM 167 139 0 17 Oct 2020
Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI Alon Jacovi Ana Marasović Tim Miller Yoav Goldberg 236 417 0 15 Oct 2020
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism M. Shoeybi M. Patwary Raul Puri P. LeGresley Jared Casper Bryan Catanzaro MoE 243 1,791 0 17 Sep 2019
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets Mor Geva Yoav Goldberg Jonathan Berant 228 306 0 21 Aug 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,003 0 20 Apr 2018