ReqBrain: Task-Specific Instruction Tuning of LLMs for AI-Assisted Requirements Generation

23 May 2025

Papers citing "ReqBrain: Task-Specific Instruction Tuning of LLMs for AI-Assisted Requirements Generation"

28 / 28 papers shown

Title
Mitigating Large Language Model Hallucination with Faithful Finetuning Minda Hu Bowei He Yufei Wang Liangyou Li Chen Ma Irwin King HILM 67 8 0 17 Jun 2024
Task Arithmetic with LoRA for Continual Learning Rajas Chitale Ankit Vaidya Aditya Kane Archana Ghotkar 58 16 0 04 Nov 2023
Building Real-World Meeting Summarization Systems using Large Language Models: A Practical Perspective Md Tahmid Rahman Laskar Xue-Yong Fu Cheng-Hsiung Chen TN ShashiBhushan 46 36 0 30 Oct 2023
Zephyr: Direct Distillation of LM Alignment Lewis Tunstall E. Beeching Nathan Lambert Nazneen Rajani Kashif Rasul ... Nathan Habib Nathan Sarrazin Omar Sanseviero Alexander M. Rush Thomas Wolf ALM 64 382 0 25 Oct 2023
Mistral 7B Albert Q. Jiang Alexandre Sablayrolles A. Mensch Chris Bamford Devendra Singh Chaplot ... Teven Le Scao Thibaut Lavril Thomas Wang Timothée Lacroix William El Sayed MoE LRM 38 2,102 0 10 Oct 2023
Investigating the Catastrophic Forgetting in Multimodal Large Language Models Yuexiang Zhai Shengbang Tong Xiao Li Mu Cai Qing Qu Yong Jae Lee Yi Ma VLM MLLM CLL 89 79 0 19 Sep 2023
Large Language Models for Software Engineering: A Systematic Literature Review Xinying Hou Yanjie Zhao Yue Liu Zhou Yang Kailong Wang Li Li Xiapu Luo David Lo John C. Grundy Haoyu Wang 52 355 0 21 Aug 2023
Continual Pre-Training of Large Language Models: How to (re)warm your model? Kshitij Gupta Benjamin Thérien Adam Ibrahim Mats L. Richter Quentin G. Anthony Eugene Belilovsky Irina Rish Timothée Lesort KELM 70 104 0 08 Aug 2023
Llama 2: Open Foundation and Fine-Tuned Chat Models Hugo Touvron Louis Martin Kevin R. Stone Peter Albert Amjad Almahairi ... Sharan Narang Aurelien Rodriguez Robert Stojnic Sergey Edunov Thomas Scialom AI4MH ALM 206 11,636 0 18 Jul 2023
Maybe Only 0.5% Data is Needed: A Preliminary Exploration of Low Training Data Instruction Tuning Haowen Chen Yiming Zhang Qi Zhang Hantao Yang Xiaomeng Hu Xuetao Ma Yifan YangGong Jiaqi Zhao ALM 81 50 0 16 May 2023
Prompt-MIL: Boosting Multi-Instance Learning Schemes via Task-specific Prompt Tuning Jingwei Zhang S. Kapse Ke Ma Prateek Prasanna Joel H. Saltz Maria Vakalopoulou Dimitris Samaras VLM 97 17 0 21 Mar 2023
Context-faithful Prompting for Large Language Models Wenxuan Zhou Sheng Zhang Hoifung Poon Muhao Chen KELM 34 61 0 20 Mar 2023
Two-stage LLM Fine-tuning with Less Specialization and More Generalization Yihan Wang Si Si Daliang Li Michal Lukasik Felix X. Yu Cho-Jui Hsieh Inderjit S Dhillon Sanjiv Kumar 94 29 0 01 Nov 2022
Efficient Few-Shot Learning Without Prompts Lewis Tunstall Nils Reimers Unso Eun Seo Jo Luke Bates Daniel Korat Moshe Wasserblat Oren Pereg VLM 65 189 0 22 Sep 2022
Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning Antonia Creswell Murray Shanahan I. Higgins ReLM LRM 62 352 0 19 May 2022
Training Compute-Optimal Large Language Models Jordan Hoffmann Sebastian Borgeaud A. Mensch Elena Buchatskaya Trevor Cai ... Karen Simonyan Erich Elsen Jack W. Rae Oriol Vinyals Laurent Sifre AI4TS 121 1,915 0 29 Mar 2022
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution Ananya Kumar Aditi Raghunathan Robbie Jones Tengyu Ma Percy Liang OODD 96 655 0 21 Feb 2022
FrugalScore: Learning Cheaper, Lighter and Faster Evaluation Metricsfor Automatic Text Generation Moussa Kamal Eddine Guokan Shang A. Tixier Michalis Vazirgiannis 42 26 0 16 Oct 2021
PPT: Pre-trained Prompt Tuning for Few-shot Learning Yuxian Gu Xu Han Zhiyuan Liu Minlie Huang VLM 73 411 0 09 Sep 2021
Detecting Requirements Smells With Deep Learning: Experiences, Challenges and Future Work Mohammad Kasra Habib Stefan Wagner Daniel Graziotin UQCV 16 10 0 06 Aug 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 235 10,099 0 17 Jun 2021
Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning Armen Aghajanyan Luke Zettlemoyer Sonal Gupta 75 549 1 22 Dec 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 500 41,106 0 28 May 2020
BERTScore: Evaluating Text Generation with BERT Tianyi Zhang Varsha Kishore Felix Wu Kilian Q. Weinberger Yoav Artzi 201 5,668 0 21 Apr 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 961 93,936 0 11 Oct 2018
ELICA: An Automated Tool for Dynamic Extraction of Requirements Relevant Information Zahra Shakeri Hossein Abad Vincenzo Gervasi Didar Zowghi K. Barker 13 21 0 21 Jul 2018
Why We Need New Evaluation Metrics for NLG Jekaterina Novikova Ondrej Dusek Amanda Cercas Curry Verena Rieser 67 456 0 21 Jul 2017
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 265 7,410 0 02 Dec 2016