🧑🔬 Who cites Sumanth Dathathri749 citations of their works from 712 papers of our library (of the 140 884 whose bibliographies we read) · 99 with a page here, the most cited first · page 3 of 4 · ← Sumanth Dathathri
Societal Biases in Language Generation: Progress and Challenges Emily Sheng, Kai-Wei Chang, Prem Natarajan, et al. 2021 · 252 citations DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models Boxin Wang, Weixin Chen, Hengzhi Pei, et al. 2023 · 246 citations Automatic Detection of Machine Generated Text: A Critical Survey Ganesh Jawahar, Muhammad Abdul-Mageed, Laks Lakshmanan V.S. 2020 · 243 citations Language Models can Solve Computer Tasks Geunwoo Kim, Pierre Baldi, Stephen McAleer 2023 · 239 citations RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment Hanze Dong, Wei Xiong, Deepanshu Goyal, et al. 2023 · 239 citations FUDGE: Controlled Text Generation With Future Discriminators Kevin Yang, Dan Klein 2021 · 234 citations XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models Paul Rottger, Hannah Rose Kirk, Bertie Vidgen, et al. 2023 · 227 citations TrustLLM: Trustworthiness in Large Language Models Yue Huang, Lichao Sun, Haoran Wang, et al. 2024 · 226 citations Baseline Defenses for Adversarial Attacks Against Aligned Language Models Neel Jain, Avi Schwarzschild, Yuxin Wen, et al. 2023 · 224 citations Steering Language Models With Activation Engineering Alexander Matt Turner, Lisa Thiergart, Gavin Leech, et al. 2023 · 220 citations Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Yang Liu; Yuanshun Yao; Jean-Francois Ton; Xiaoying Zhang; Ruocheng Guo; Hao Cheng; Yegor Klochkov; Muhammad Faaiz Taufiq;, Hang Li 2023 · 219 citations Fine-Grained Human Feedback Gives Better Rewards for Language Model Training Zeqiu Wu, Yushi Hu, Weijia Shi, et al. 2023 · 212 citations Reinforced Self-Training (ReST) for Language Modeling Caglar Gulcehre, Tom Le Paine, Srivatsan Srinivasan, et al. 2023 · 209 citations Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning Pan Lu, Liang Qiu, Kai-Wei Chang, et al. 2022 · 209 citations Safe RLHF: Safe Reinforcement Learning from Human Feedback Josef Dai, Xuehai Pan, Ruiyang Sun, et al. 2023 · 207 citations Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP Timo Schick, Sahana Udupa, Hinrich Schutze 2021 · 207 citations Generating Training Data with Language Models: Towards Zero-Shot Language Understanding Yu Meng, Jiaxin Huang, Yu Zhang, et al. 2022 · 206 citations Challenges in Detoxifying Language Models Johannes Welbl, Amelia Glaese, Jonathan Uesato, et al. 2021 · 206 citations Authorship Attribution for Neural Text Generation Adaku Uchendu, Thai Le, Kai Shu, et al. 2020 · 195 citations Multilingual Jailbreak Challenges in Large Language Models Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, et al. 2023 · 183 citations Generating Sequences by Learning to Self-Correct Sean Welleck, Ximing Lu, Peter West, et al. 2022 · 170 citations Towards Controllable Biases in Language Generation Emily Sheng, Kai-Wei Chang, Prem Natarajan, et al. 2020 · 166 citations Quark: Controllable Text Generation with Reinforced Unlearning Ximing Lu, Sean Welleck, Jack Hessel, et al. 2022 · 164 citations Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision Collin Burns, Pavel Izmailov, Jan Hendrik Kirchner, et al. 2023 · 163 citations Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation Yangsibo Huang, Samyak Gupta, Mengzhou Xia, et al. 2023 · 162 citations ↑ back to top
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