Generative Large Language Model

Generative Large Language Models (LLMs) are powerful AI systems capable of generating human-quality text, enabling advancements in various applications like dialogue systems and machine translation. Current research focuses on improving efficiency (e.g., through quantization and parallel processing), addressing biases and safety concerns (including backdoor attacks), and enhancing performance in low-resource languages via techniques like fine-tuning and prompt engineering. The impact of LLMs is significant, driving progress in natural language processing and impacting diverse fields through improved automation, enhanced accessibility, and more effective information retrieval and analysis.

Papers

January 12, 2024

Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation
Jan Cegin, Branislav Pecher, Jakub Simko, Ivan Srba, Maria Bielikova, Peter Brusilovsky
Mixed Effect Generative Large Language Model Crowdsourcing Context Text Augmentation Text Datasets Linguistic Diversity Diversity Enhancement Sample Diversity Downstream Model Text Diversity

January 5, 2024

Generative Large Language Models are autonomous practitioners of evidence-based medicine
Akhil Vaid, Joshua Lampert, Juhee Lee, Ashwin Sawant, Donald Apakama, Ankit Sakhuja, Ali Soroush, Denise Lee, Isotta Landi, Nicole Bussola, Ismail Nabeel, Robbie Freeman, Patricia Kovatch, Brendan Carr, Benjamin Glicksberg, Edgar Argulian, Stamatios Lerakis, Monica Kraft, Alexander Charney, Girish Nadkarni
Generative Large Language Model Real World Clinical Evidence Based Clinical Practice Guideline Clinical Research Real World Healthcare

December 30, 2023

Evaluation is all you need. Prompting Generative Large Language Models for Annotation Tasks in the Social Sciences. A Primer using Open Models
Maximilian Weber, Merle Reichardt
Large Language Model Global Evaluation Sentiment Analysis Generative Large Language Model Social Science Annotation Task Open Model Prompting Strategy

December 29, 2023

December 23, 2023

Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems
Xupeng Miao, Gabriele Oliaro, Zhihao Zhang, Xinhao Cheng, Hongyi Jin, Tianqi Chen, Zhihao Jia
Language Model Artificial Intelligence Timely Survey Practical Algorithm System Description Generative Large Language Model Efficient LLM LLM Deployment

December 15, 2023

Generative Context-aware Fine-tuning of Self-supervised Speech Models
Suwon Shon, Kwangyoun Kim, Prashant Sridhar, Yi-Te Hsu, Shinji Watanabe, Karen Livescu
Large Language Model Fine Tuning Generative Large Language Model Self Supervised Speech Model

December 11, 2023

Generative Large Language Models Are All-purpose Text Analytics Engines: Text-to-text Learning Is All Your Need
Cheng Peng, Xi Yang, Aokun Chen, Zehao Yu, Kaleb E Smith, Anthony B Costa, Mona G Flores, Jiang Bian, Yonghui Wu
LeArning Abstract Generative Large Language Model Community Need Clinical Natural Language Processing Clinical Natural Language Processing Task Text Analytics

November 29, 2023

ROBBIE: Robust Bias Evaluation of Large Generative Language Models
David Esiobu, Xiaoqing Tan, Saghar Hosseini, Megan Ung, Yuchen Zhang, Jude Fernandes, Jane Dwivedi-Yu, Eleonora Presani, Adina Williams, Eric Michael Smith
Generative Large Language Model Model Bias Robustness Bias Prompt Bias

November 27, 2023

SpotServe: Serving Generative Large Language Models on Preemptible Instances
Xupeng Miao, Chunan Shi, Jiangfei Duan, Xiaoli Xi, Dahua Lin, Bin Cui, Zhihao Jia
Generative Large Language Model

November 15, 2023

November 13, 2023

InCA: Rethinking In-Car Conversational System Assessment Leveraging Large Language Models
Ken E. Friedl, Abbas Goher Khan, Soumya Ranjan Sahoo, Md Rashad Al Hasan Rony, Jana Germies, Christian Süß
Evaluation Metric Generative Large Language Model Conversational Question ConvQA Face Challenge ConvQA Model

November 9, 2023

Conversational AI Threads for Visualizing Multidimensional Datasets
Matt-Heun Hong, Anamaria Crisan
Chatbot Response Generative Large Language Model Conversational AI Conversational Interface Multidimensional Datasets

November 7, 2023

Principles from Clinical Research for NLP Model Generalization
Aparna Elangovan, Jiayuan He, Yuan Li, Karin Verspoor
Strong Generalization NLP Field Stronger Generalizability NLP Community Generative Large Language Model General Principle Clinical Research

October 30, 2023

The Eval4NLP 2023 Shared Task on Prompting Large Language Models as Explainable Metrics
Christoph Leiter, Juri Opitz, Daniel Deutsch, Yang Gao, Rotem Dror, Steffen Eger
Large Language Model Machine Translation Generative Large Language Model Shared Task Text Generation Task Summarization Evaluation Explainable Metric

October 25, 2023

October 18, 2023

REMARK-LLM: A Robust and Efficient Watermarking Framework for Generative Large Language Models
Ruisi Zhang, Shehzeen Samarah Hussain, Paarth Neekhara, Farinaz Koushanfar
Generative Large Language Model LLM Generated LLM Generated Text Watermarking Framework

Generative Large Language Model

Papers

Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation

Generative Large Language Models are autonomous practitioners of evidence-based medicine

Evaluation is all you need. Prompting Generative Large Language Models for Annotation Tasks in the Social Sciences. A Primer using Open Models

Large Language Models for Generative Information Extraction: A Survey

Building Efficient Universal Classifiers with Natural Language Inference

Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems

Generative Context-aware Fine-tuning of Self-supervised Speech Models

Generative Large Language Models Are All-purpose Text Analytics Engines: Text-to-text Learning Is All Your Need

ROBBIE: Robust Bias Evaluation of Large Generative Language Models

SpotServe: Serving Generative Large Language Models on Preemptible Instances

Investigating Hallucinations in Pruned Large Language Models for Abstractive Summarization

Assessing Translation capabilities of Large Language Models involving English and Indian Languages

GENEVA: GENErating and Visualizing branching narratives using LLMs

InCA: Rethinking In-Car Conversational System Assessment Leveraging Large Language Models

Conversational AI Threads for Visualizing Multidimensional Datasets

Principles from Clinical Research for NLP Model Generalization

The Eval4NLP 2023 Shared Task on Prompting Large Language Models as Explainable Metrics

Improving Diversity of Demographic Representation in Large Language Models via Collective-Critiques and Self-Voting

Using GPT-4 to Augment Unbalanced Data for Automatic Scoring

REMARK-LLM: A Robust and Efficient Watermarking Framework for Generative Large Language Models