Large Language Models Must Be Taught to Know What They Don't Know

Large Language Models Must Be Taught to Know What They Don't Know

12 June 2024

Manley Roberts

Katherine Collins

Adrian Weller

Andrew Gordon Wilson

Papers citing "Large Language Models Must Be Taught to Know What They Don't Know"

19 / 19 papers shown

Title
BARREL: Boundary-Aware Reasoning for Factual and Reliable LRMs Junxiao Yang Jinzhe Tu Haoran Liu Xiaoce Wang Chujie Zheng ... Caishun Chen Tiantian He Hongning Wang Yew-Soon Ong Minlie Huang LRM 73 0 0 18 May 2025
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models Yibin Wang Haizhou Shi Ligong Han Dimitris N. Metaxas Hao Wang BDL UQLM 174 9 0 28 Jan 2025
Training-Free Bayesianization for Low-Rank Adapters of Large Language Models Haizhou Shi Yibin Wang Ligong Han Huatian Zhang Hao Wang UQCV 164 2 0 07 Dec 2024
U-shaped and Inverted-U Scaling behind Emergent Abilities of Large Language Models Tung-Yu Wu Pei-Yu Lo ReLM LRM 76 2 0 02 Oct 2024
Calibrating Large Language Models Using Their Generations Only Dennis Ulmer Martin Gubri Hwaran Lee Sangdoo Yun Seong Joon Oh UQLM 471 28 1 09 Mar 2024
Fine-tuning Language Models for Factuality Katherine Tian Eric Mitchell Huaxiu Yao Christopher D. Manning Chelsea Finn KELM HILM SyDa 62 178 0 14 Nov 2023
Do Large Language Models Know What They Don't Know? Zhangyue Yin Qiushi Sun Qipeng Guo Jiawen Wu Xipeng Qiu Xuanjing Huang ELM AI4MH 65 160 0 29 May 2023
Learning Personalized Decision Support Policies Umang Bhatt Valerie Chen Katherine M. Collins Parameswaran Kamalaruban Emma Kallina Adrian Weller Ameet Talwalkar OffRL 151 11 0 13 Apr 2023
GPT-4 Technical Report OpenAI OpenAI OpenAI Josh Achiam Steven Adler Sandhini Agarwal Lama Ahmad ... Shengjia Zhao Tianhao Zheng Juntang Zhuang William Zhuk Barret Zoph LLMAG MLLM 1.0K 14,179 0 15 Mar 2023
Discovering Latent Knowledge in Language Models Without Supervision Collin Burns Haotian Ye Dan Klein Jacob Steinhardt 122 363 0 07 Dec 2022
Finetuned Language Models Are Zero-Shot Learners Jason W. Wei Maarten Bosma Vincent Zhao Kelvin Guu Adams Wei Yu Brian Lester Nan Du Andrew M. Dai Quoc V. Le ALM UQCV 116 3,723 0 03 Sep 2021
LoRA: Low-Rank Adaptation of Large Language Models J. E. Hu Yelong Shen Phillip Wallis Zeyuan Allen-Zhu Yuanzhi Li Shean Wang Lu Wang Weizhu Chen OffRL AI4TS AI4CE ALM AIMat 371 10,226 0 17 Jun 2021
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 359 42,299 0 03 Dec 2019
Adversarial NLI: A New Benchmark for Natural Language Understanding Yixin Nie Adina Williams Emily Dinan Joey Tianyi Zhou Jason Weston Douwe Kiela 115 1,003 0 31 Oct 2019
Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning Lifu Huang Ronan Le Bras Chandra Bhagavatula Yejin Choi AIMat RALM LRM 99 453 0 31 Aug 2019
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks Nils Reimers Iryna Gurevych 1.0K 12,129 0 27 Aug 2019
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions Christopher Clark Kenton Lee Ming-Wei Chang Tom Kwiatkowski Michael Collins Kristina Toutanova 205 1,511 0 24 May 2019
CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge Alon Talmor Jonathan Herzig Nicholas Lourie Jonathan Berant RALM 140 1,716 0 02 Nov 2018
A large annotated corpus for learning natural language inference Samuel R. Bowman Gabor Angeli Christopher Potts Christopher D. Manning 282 4,278 0 21 Aug 2015

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