{"total":15,"rows":[{"id":"2304.13712","title":"Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond","created":"2023-04-26","cited_by_count":411,"area":null},{"id":"2308.05374","title":"Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment","created":"2023-08-10","cited_by_count":401,"area":null},{"id":"2108.02035","title":"Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification","created":"2021-08-04","cited_by_count":183,"area":null},{"id":"2210.04714","title":"Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis","created":"2022-10-10","cited_by_count":104,"area":null},{"id":"2211.00151","title":"A Close Look into the Calibration of Pre-trained Language Models","created":"2022-10-31","cited_by_count":57,"area":null},{"id":"2106.08977","title":"Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data","created":"2021-06-16","cited_by_count":18,"area":null},{"id":"2208.05379","title":"Multi-task Active Learning for Pre-trained Transformer-based Models","created":"2022-08-10","cited_by_count":16,"area":null},{"id":"2309.06619","title":"RT-LM: Uncertainty-Aware Resource Management for Real-Time Inference of Language Models","created":"2023-09-12","cited_by_count":11,"area":null},{"id":"2305.19395","title":"DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling","created":"2023-05-30","cited_by_count":10,"area":null},{"id":"2205.03403","title":"A Data Cartography based MixUp for Pre-trained Language Models","created":"2022-05-06","cited_by_count":5,"area":null},{"id":"2307.10442","title":"Thrust: Adaptively Propels Large Language Models with External Knowledge","created":"2023-07-19","cited_by_count":3,"area":null},{"id":"2201.03742","title":"Explaining Predictive Uncertainty by Looking Back at Model Explanations","created":"2022-01-11","cited_by_count":2,"area":null},{"id":"2108.01812","title":"Improving Distinction between ASR Errors and Speech Disfluencies with Feature Space Interpolation","created":"2021-08-04","cited_by_count":0,"area":null},{"id":"2209.11534","title":"An Interdisciplinary Perspective on Evaluation and Experimental Design for Visual Text Analytics: Position Paper","created":"2022-09-23","cited_by_count":0,"area":null},{"id":"2302.12367","title":"Extracting Victim Counts from Text","created":"2023-02-23","cited_by_count":0,"area":null}],"next_cursor":null}