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Despite the remarkable abilities of Large Language Models (LLMs) to answer questions, they often display a considerable level of overconfidence even when the question does not have a definitive answer.
Semantic parsing on freebase from question-answer pairs
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Sewon Min, Julian Michael, Hannaneh Hajishirzi, and Luke Zettlemoyer. 2020 · 2020
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Exploiting reasoning chains for multi-hop science question answering
Weiwen Xu, Yang Deng, Huihui Zhang, Deng Cai, and Wai Lam. 2021 · 2021
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Contextualized knowledge-aware attentive neural network: Enhancing answer selection with knowledge
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Reducing conversational agents’ overconfidence through linguistic calibration
Sabrina J. Mielke, Arthur Szlam, Emily Dinan, and Y-Lan Boureau. 2022 · 2022
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Context-situated pun generation
Jiao Sun, Anjali Narayan-Chen, Shereen Oraby, Shuyang Gao, Tagyoung Chung, Jing Huang, Yang Liu, and Nanyun Peng. 2022 · 2022
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Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, and Ashish Sabharwal. 2022 · 2022
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Chain-of-thought prompting elicits reasoning in large language models
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Beyond factuality: A comprehensive evaluation of large language models as knowledge generators
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Aviv Slobodkin, Omer Goldman, Avi Caciularu, Ido Dagan, and Shauli Ravfogel. 2023 · 2023
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Principle-driven self-alignment of language models from scratch with minimal human supervision
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Liang Chen, Yang Deng, Yatao Bian, Zeyu Qin, Bingzhe Wu, Tat-Seng Chua, and Kam-Fai Wong. 2023 · 2023
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Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality
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Yang Deng, Wenqiang Lei, Wai Lam, and Tat-Seng Chua. 2023a · 2023
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Yang Deng, Lizi Liao, Liang Chen, Hongru Wang, Wenqiang Lei, and Tat-Seng Chua. 2023b · 2023
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SCENE: self-labeled counterfactuals for extrapolating to negative examples
Deqing Fu, Ameya Godbole, and Robin Jia. 2023 · 2023
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Decomposing uncertainty for large language models through input clarification ensembling
Bairu Hou, Yujian Liu, Kaizhi Qian, Jacob Andreas, Shiyu Chang, and Yang Zhang. 2023 · 2023
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Large language models can self-improve
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Survey of hallucination in natural language generation
Ziwei Ji, Nayeon Lee, Rita Frieske, Tiezheng Yu, Dan Su, Yan Xu, Etsuko Ishii, Yejin Bang, Andrea Madotto, and Pascale Fung. 2023 · 2023
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Llama 2: Open foundation and fine-tuned chat models
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Cue-cot: Chain-of-thought prompting for responding to in-depth dialogue questions with llms
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Self-consistency improves chain of thought reasoning in language models
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Can llms express their uncertainty? an empirical evaluation of confidence elicitation in llms
Miao Xiong, Zhiyuan Hu, Xinyang Lu, Yifei Li, Jie Fu, Junxian He, and Bryan Hooi. 2023 · 2023
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Yuqing Yang, Ethan Chern, Xipeng Qiu, Graham Neubig, and Pengfei Liu. 2023 · 2023
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React: Synergizing reasoning and acting in language models
Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik R. Narasimhan, and Yuan Cao. 2023b · 2023
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Do large language models know what they don’t know?
Zhangyue Yin, Qiushi Sun, Qipeng Guo, Jiawen Wu, Xipeng Qiu, and Xuanjing Huang. 2023 · 2023
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R-tuning: Teaching large language models to refuse unknown questions
Hanning Zhang, Shizhe Diao, Yong Lin, Yi R. Fung, Qing Lian, Xingyao Wang, Yangyi Chen, Heng Ji, and Tong Zhang. 2023 · 2023
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Self-qa: Unsupervised knowledge guided language model alignment
Xuanyu Zhang and Qing Yang. 2023 · 2023
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Towards human-centered proactive conversational agents
Yang Deng, Lizi Liao, Zhonghua Zheng, Grace Hui Yang, and Tat-Seng Chua. 2024 · 2024
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