Fetching the paper…
Reading the bibliography…
This study presents RoleCraft-GLM, an innovative framework aimed at enhancing personalized role-playing with Large Language Models (LLMs).
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al. 2020 · 1901
Earlier work this paper cites.
Enriching existing conversational emotion datasets with dialogue acts using neural annotators
Chandrakant Bothe, C. Weber, S. Magg, and S. Wermter. 2019 · 1912
Earlier work this paper cites.
An argument for basic emotions
Paul Ekman. 1992 · 1992
Earlier work this paper cites.
Rouge: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
Earlier work this paper cites.
Improving factual consistency between a response and persona facts
Mohsen Mesgar, Edwin Simpson, and Iryna Gurevych. 2020 · 2005
Earlier work this paper cites.
Zhi-Min Zhou, Man Lan, Yuanbin Wu, and Jun Lang. 2017 · 2017
Earlier work this paper cites.
Universal language model fine-tuning for text classification
Jeremy Howard and Sebastian Ruder. 2018 · 2018
Earlier work this paper cites.
Improving language understanding by generative pre-training
Alec Radford, Karthik Narasimhan, Tim Salimans, Ilya Sutskever, et al. 2018 · 2018
Earlier work this paper cites.
Climbing towards nlu: On meaning, form, and understanding in the age of data
Emily M Bender and Alexander Koller. 2020 · 2020
Earlier work this paper cites.
Evaluating large language models trained on code
Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, et al. 2021 · 2021
Earlier work this paper cites.
Lora: Low-rank adaptation of large language models
Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen. 2021 · 2021
Earlier work this paper cites.
Representation matters: Assessing the importance of subgroup allocations in training data
Esther Rolf, Theodora Worledge, B. Recht, and M.I. Jordan. 2021 · 2021
Earlier work this paper cites.
Automatsko generisanje skupa podataka za treniranje modela za automatsko prepoznavanje osobe na slici
Noemi Sabadoš. 2021 · 2021
Earlier work this paper cites.
Dynaeval: Unifying turn and dialogue level evaluation
Chen Zhang, Yiming Chen, Luis Fernando D’Haro, Yan Zhang, Thomas Friedrichs, Grandee Lee, and Haizhou Li. 2021 · 2021
Earlier work this paper cites.
High-quality conversational systems
Samuel Ackerman, Ateret Anaby-Tavor, E. Farchi, Esther Goldbraich, George Kour, Ella Ravinovich, O. Raz, Saritha Route, Marcel Zalmanovici, and Naama Zwerdling. 2022 · 2022
Earlier work this paper cites.
Evaluating human-language model interaction
Mina Lee, Megha Srivastava, Amelia Hardy, John Thickstun, Esin Durmus, Ashwin Paranjape, Ines Gerard-Ursin, Xiang Lisa Li, Faisal Ladhak, Frieda Rong, et al. 2022 · 2022
Cited alongside, same era.
Multitask personalized recognition of emotions evoked by textual content
Piotr Miłkowski, Stanisław Saganowski, Marcin Gruza, Przemysław Kazienko, Maciej Piasecki, and Jan Kocoń. 2022 · 2022
Cited alongside, same era.
Investigating person-specific errors in chat-oriented dialogue systems
Koh Mitsuda, Ryuichiro Higashinaka, Tingxuan Li, and Sen Yoshida. 2022 · 2022
Cited alongside, same era.
Reflecting on experiences for response generation
Chenchen Ye, Lizi Liao, Suyu Liu, and Tat-Seng Chua. 2022 · 2022
Cited alongside, same era.
Conversational health agents: A personalized llm-powered agent framework
Mahyar Abbasian, Iman Azimi, Amir M Rahmani, and Ramesh Jain. 2023 · 2023
Gpt-4 technical report
OpenAI. 2023 · 2023
Closest in time.
Generative agents: Interactive simulacra of human behavior
Joon Sung Park, Joseph O’Brien, Carrie Jun Cai, Meredith Ringel Morris, Percy Liang, and Michael S Bernstein. 2023 · 2023
Closest in time.
Role play with large language models
Murray Shanahan, Kyle McDonell, and Laria Reynolds. 2023 · 2023
Closest in time.
Character-llm: A trainable agent for role-playing
Yunfan Shao, Linyang Li, Junqi Dai, and Xipeng Qiu. 2023 · 2023
Closest in time.
Can large language models change user preference adversarially?
Varshini Subhash. 2023 · 2023
Closest in time.
Rolecraft-glm: Advancing personalized role-playing in large language models
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Jinze Bai, Shuai Bai, Yunfei Chu, Zeyu Cui, Kai Dang, Xiaodong Deng, Yang Fan, Wenbin Ge, Yu Han, Fei Huang, Binyuan Hui, Luo Ji, Mei Li, Junyang Lin, Runji Lin, Dayiheng Liu, Gao Liu, Chengqiang Lu, Keming Lu, Jianxin Ma, Rui Men, Xingzhang Ren, Xuancheng Ren, Chuanqi Tan, Sinan Tan, Jianhong Tu, Peng Wang, Shijie Wang, Wei Wang, Shengguang Wu, Benfeng Xu, Jin Xu, An Yang, Hao Yang, Jian Yang, Shusheng Yang, Yang Yao, Bowen Yu, Hongyi Yuan, Zheng Yuan, Jianwei Zhang, Xingxuan Zhang, Yichang Zhang, Zhenru Zhang, Chang Zhou, Jingren Zhou, Xiaohuan Zhou, and Tianhang Zhu. 2023 · 2023
Cited alongside, same era.
A survey on evaluation of large language models
Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Kaijie Zhu, Hao Chen, Linyi Yang, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, et al. 2023 · 2023
Cited alongside, same era.
Autoagents: A framework for automatic agent generation
Guangyao Chen, Siwei Dong, Yu Shu, Ge Zhang, Jaward Sesay, Börje F Karlsson, Jie Fu, and Yemin Shi. 2023 · 2023
Cited alongside, same era.
Palr: Personalization aware llms for recommendation
Zheng Chen. 2023 · 2023
Cited alongside, same era.
Learning multi-turn response selection in grounded dialogues with reinforced knowledge and context distillation
Jiazhan Feng, Chongyang Tao, Xueliang Zhao, and Dongyan Zhao. 2023 · 2023
Cited alongside, same era.
Gptscore: Evaluate as you desire
Jinlan Fu, See-Kiong Ng, Zhengbao Jiang, and Pengfei Liu. 2023 · 2023
Cited alongside, same era.
Prometheus: Inducing fine-grained evaluation capability in language models
Seungone Kim, Jamin Shin, Yejin Cho, Joel Jang, Shayne Longpre, Hwaran Lee, Sangdoo Yun, Seongjin Shin, Sungdong Kim, James Thorne, et al. 2023 · 2023
Cited alongside, same era.
Meiling Tao, Xuechen Liang, Tianyu Shi, Lei Yu, and Yiting Xie. 2023 · 2023
Closest in time.
Internlm: A multilingual language model with progressively enhanced capabilities
InternLM Team. 2023 · 2023
Closest in time.
Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al. 2023 · 2023
Closest in time.
A prompt pattern catalog to enhance prompt engineering with chatgpt
Jules White, Quchen Fu, Sam Hays, Michael Sandborn, Carlos Olea, Henry Gilbert, Ashraf Elnashar, Jesse Spencer-Smith, and Douglas C Schmidt. 2023 · 2023
Closest in time.
Tidybot: Personalized robot assistance with large language models
Jimmy Wu, Rika Antonova, Adam Kan, Marion Lepert, Andy Zeng, Shuran Song, Jeannette Bohg, Szymon Rusinkiewicz, and Thomas Funkhouser. 2023 · 2023
Closest in time.
C-pack: Packaged resources to advance general chinese embedding
Shitao Xiao, Zheng Liu, Peitian Zhang, and Niklas Muennighof. 2023 · 2023
Closest in time.
Baichuan 2: Open large-scale language models
Aiyuan Yang, Bin Xiao, Bingning Wang, Borong Zhang, Chao Yin, Chenxu Lv, Da Pan, Dian Wang, Dong Yan, Fan Yang, et al. 2023 · 2023
Closest in time.
Cadge: Context-aware dialogue generation enhanced with graph-structured knowledge aggregation
Hongbo Zhanga, Chen Tang, Tyler Loakmana, Chenghua Lina, and Stefan Goetze. 2023 · 2023
Closest in time.
Charactereval: A chinese benchmark for role-playing conversational agent evaluation
Quan Tu, Shilong Fan, Zihang Tian, and Rui Yan. 2024 · 2024
Closest in time.