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In the evolving landscape of conversational AI, generating concise, context-aware, and human-like dialogue using small and medium-sized language models (LLMs) remains a complex challenge.
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
Earlier work this paper cites.
Qlora: Efficient finetuning of quantized large language models
Tim Dettmers, Artidoro Pagnoni, Ari Holtzman, et al · 2023
Earlier work this paper cites.
Dspy: Compiling declarative language model calls into self-improving pipelines
Omar Khattab, Arnav Singhvi, Paridhi Maheshwari, Zhiyuan Zhang, Keshav Santhanam, Sri Vardhamanan, Saiful Haq, Ashutosh Sharma, Thomas T. Joshi, Hanna Moazam, Heather Miller, Matei Zaharia, and Christopher Potts · 2023
Earlier work this paper cites.
Anupam Purwar and Rahul Sundar · 2023
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Scaling laws for efficient adaptation of large language models
John Xiao, Lisa Huang, et al · 2023
Earlier work this paper cites.
Lima: Less is more for alignment
Chunting Zhou, Pengfei Liu, Puxin Xu, Srini Iyer, Jiao Sun, Yuning Mao, Xuezhe Ma, Avia Efrat, Ping Yu, Lili Yu, Susan Zhang, Gargi Ghosh, Mike Lewis, Luke Zettlemoyer, and Omer Levy · 2023
Earlier work this paper cites.
Culturevo: The serious game of utilizing gen ai for enhancing cultural intelligence
Ajita Agarwala, Anupam Purwar, and Viswanadhasai Rao · 2024
Cited alongside, same era.
Gelora: Geometric adaptive ranks for efficient lora fine-tuning
Abdessalam Ed-dib, Zhanibek Datbayev, and Amine Mohamed Aboussalah · 2024
Cited alongside, same era.
B Gautam and Anupam Purwar · 2024
Cited alongside, same era.
Jiawei Gu, Xuhui Jiang, Zhichao Shi, Hexiang Tan, Xuehao Zhai, Chengjin Xu, Wei Li, Yinghan Shen, Shengjie Ma, Honghao Liu, Saizhuo Wang, Kun Zhang, Yuanzhuo Wang, Wen Gao, Lionel Ni, and Jian Guo · 2024
Cited alongside, same era.
Ra-lora: Rank-adaptive parameter-efficient fine-tuning for accurate 2-bit quantized large language models
Minsoo Kim, Sihwa Lee, and Jungwook Choi · 2024
Later among the works it cites.
Knowtuning: Knowledge-aware fine-tuning for large language models
Yougang Lyu, Lingyong Yan, Shuaiqiang Wang, Haibo Shi, Dawei Yin, Pengjie Ren, Zhumin Chen, Maarten de Rijke, and Zhaochun Ren · 2024
Later among the works it cites.
Continual learning of large language models: A comprehensive survey
Haizhou Shi, Zixuan Xu, Hao Wang, Wenxuan Qin, Wancheng Wang, Yizhe Wang, Zhewei Wang, Sadegh Ebrahimi, and Huan Wang · 2024
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Fali Wang, Zhiwei Zhang, Xianren Zhang, Zongyu Wu, Tzuhao Mo, Qiuhao Lu, Wanjing Wang, Rui Li, Junjie Xu, Xianfeng Tang, Qi He, Yao Ma, Ming Huang, and Suhang Wang · 2024
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Chitranshu Harbola and Anupam Purwar · 2024
Cited alongside, same era.
Leveraging llms for dialogue quality measurement
Jinghan Jia, Abi Komma, Timothy Leffel, Xujun Peng, Ajay Nagesh, Tamer Soliman, Aram Galstyan, and Anoop Kumar · 2024
Cited alongside, same era.
Introducing a new hyper-parameter for rag: Context window utilization
Kush Juvekar and Anupam Purwar
Cited in the paper.
Cos-mix: Cosine similarity and distance fusion for improved information retrieval
Kush Juvekar and Anupam Purwar
Cited in the paper.
Xiaojun Xiao, Sen Shen, Qiming Bao, Hongfei Rong, Kairui Liu, Zhongsheng Wang, and Jiamou Liu · 2024
Later among the works it cites.
Llamafactory: Unified efficient fine-tuning of 100+ language models, 2024
Yaowei Zheng, Richong Zhang, Junhao Zhang, Yanhan Ye, Zheyan Luo, Zhangchi Feng, and Yongqiang Ma · 2024
Later among the works it cites.