Large Language Model

Large language models (LLMs) are sophisticated AI systems designed to process and generate human-like text, aiming to improve various natural language processing tasks. Current research focuses on enhancing LLM safety, efficiency (through techniques like quantization and optimized decoding), and fairness, as well as improving their ability to perform complex reasoning and handle diverse instructions. These advancements are significant because they address critical limitations in current LLMs and pave the way for broader applications across diverse fields, including healthcare, legal tech, and autonomous systems.

Papers

December 3, 2024

Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models
Yuda Song, Hanlin Zhang, Carson Eisenach, Sham Kakade, Dean Foster, Udaya Ghai
Large Language Model Language Model Human Mind Self Improvement
CPP-UT-Bench: Can LLMs Write Complex Unit Tests in C++?
Vaishnavi Bhargava, Rajat Ghosh, Debojyoti Dutta
Large Language Model Benchmark Dataset C++ Implementation Unit Test
Time-Reversal Provides Unsupervised Feedback to LLMs
Yerram Varun, Rahul Madhavan, Sravanti Addepalli, Arun Suggala, Karthikeyan Shanmugam, Prateek Jain
Large Language Model Language Model Passage Retrieval Time Reversal
Semantic Tokens in Retrieval Augmented Generation
Joel Suro
Large Language Model Retrieval Augmented Generation Natural Language Processing Task Question Answering System
LLMForecaster: Improving Seasonal Event Forecasts with Unstructured Textual Data
Hanyu Zhang, Chuck Arvin, Dmitry Efimov, Michael W. Mahoney, Dominique Perrault-Joncas, Shankar Ramasubramanian, Andrew Gordon Wilson, Malcolm Wolff
Large Language Model LLM Based Unstructured Text Post Processing Event Forecasting Video Game Demand Time Series Forecasting Method
CPTQuant -- A Novel Mixed Precision Post-Training Quantization Techniques for Large Language Models
Amitash Nanda, Sree Bhargavi Balija, Debashis Sahoo
Large Language Model Model Compression Barzilai Borwein Technique Post Training Quantization Quantization Technique Language Modeling Task
Multi-Bin Batching for Increasing LLM Inference Throughput
Ozgur Guldogan, Jackson Kunde, Kangwook Lee, Ramtin Pedarsani
Large Language Model LLM Inference P Bit Inference Service Automatic Batching
Trust & Safety of LLMs and LLMs in Trust & Safety
Doohee You, Dan Chon
Large Language Model Natural Language Processing Task Human SAFETY Appropriate Trust Best Practice Prompt Injection
A Primer on Large Language Models and their Limitations
Sandra Johnson, David Hyland-Wood
Large Language Model Fundamental Limitation Research Direction Complex Scenario
Let's Think Var-by-Var: Large Language Models Enable Ad Hoc Probabilistic Reasoning
Shepard Xia, Brian Lu, Jason Eisner
Large Language Model Scientific Inference Probabilistic Model Ad Hoc Constraint Satisfaction
Future of Information Retrieval Research in the Age of Generative AI
James Allan, Eunsol Choi, Daniel P. Lopresti, Hamed Zamani
Large Language Model Natural Language Processing Generative AI Information Retrieval Future Reasoning Speech Based Age

December 2, 2024

The use of large language models to enhance cancer clinical trial educational materials
Mingye Gao, Aman Varshney, Shan Chen, Vikram Goddla, Jack Gallifant, Patrick Doyle, Claire Novack, Maeve Dillon-Martin, Teresia Perkins, Xinrong Correia, Erik Duhaime, Howard Isenstein, Elad Sharon, Lisa Soleymani Lehmann, David Kozono, Brian Anthony, Dmitriy Dligach, Danielle S. Bitterman
Large Language Model Greater Public Use Clinical Trial Cancer Diagnosis Educational Resource
Mastering Board Games by External and Internal Planning with Language Models
John Schultz, Jakub Adamek, Matej Jusup, Marc Lanctot, Michael Kaisers, Sarah Perrin, Daniel Hennes, Jeremy Shar, Cannada Lewis, Anian Ruoss, Tom Zahavy, Petar Veličković, Laurel Prince, Satinder Singh, Eric Malmi, Nenad Tomašev
Large Language Model Language Model Full Model Human Language Monte Carlo Tree Search Board Game Language Model Inference Search Based Planning
HackSynth: LLM Agent and Evaluation Framework for Autonomous Penetration Testing
Lajos Muzsai, David Imolai, András Lukács
Large Language Model Level Test Evaluation Framework Penetration Testing Autonomous Cyber
Towards Resource Efficient and Interpretable Bias Mitigation in Large Language Models
Schrasing Tong, Eliott Zemour, Rawisara Lohanimit, Lalana Kagal
Large Language Model Language Model Bias Mitigation Inherent Bias
Query Performance Explanation through Large Language Model for HTAP Systems
Haibo Xiu, Li Zhang, Tieying Zhang, Jun Yang, Jianjun Chen
Large Language Model Retrieval Augmented Generation System Description Human Explanation Stream Processing Query Plan
DaDu-E: Rethinking the Role of Large Language Model in Robotic Computing Pipeline
Wenhao Sun, Sai Hou, Zixuan Wang, Bo Yu, Shaoshan Liu, Xu Yang, Shuai Liang, Yiming Gan, Yinhe Han
Large Language Model Non Humanoid Robot Integral Role Pipeline System Robot Skill Intelligent Robot
If Eleanor Rigby Had Met ChatGPT: A Study on Loneliness in a Post-LLM World
Adrian de Wynter
Large Language Model ChatGPT Generated Conversation Study Feature World Event Social Isolation Stable Relationship Fine Grained Loneliness
Medchain: Bridging the Gap Between LLM Agents and Clinical Practice through Interactive Sequential Benchmarking
Jie Liu, Wenxuan Wang, Zizhan Ma, Guolin Huang, Yihang SU, Kao-Jung Chang, Wenting Chen, Haoliang Li, Linlin Shen, Michael Lyu
Large Language Model Internet of Thing Real World Clinical Clinical Task Clinical Setting Healthcare Workflow
Agentic-HLS: An agentic reasoning based high-level synthesis system using large language models (AI for EDA workshop 2024)
Ali Emre Oztas, Mahdi Jelodari
Large Language Model Artificial Intelligence Multi Agent Chain of Thought Agent System Chip Design High Level Synthesis

Large Language Model

Papers

Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models

CPP-UT-Bench: Can LLMs Write Complex Unit Tests in C++?

Time-Reversal Provides Unsupervised Feedback to LLMs

Semantic Tokens in Retrieval Augmented Generation

LLMForecaster: Improving Seasonal Event Forecasts with Unstructured Textual Data

CPTQuant -- A Novel Mixed Precision Post-Training Quantization Techniques for Large Language Models

Multi-Bin Batching for Increasing LLM Inference Throughput

Trust & Safety of LLMs and LLMs in Trust & Safety

A Primer on Large Language Models and their Limitations

Let's Think Var-by-Var: Large Language Models Enable Ad Hoc Probabilistic Reasoning

Future of Information Retrieval Research in the Age of Generative AI

The use of large language models to enhance cancer clinical trial educational materials

Mastering Board Games by External and Internal Planning with Language Models

HackSynth: LLM Agent and Evaluation Framework for Autonomous Penetration Testing

Towards Resource Efficient and Interpretable Bias Mitigation in Large Language Models

Query Performance Explanation through Large Language Model for HTAP Systems

DaDu-E: Rethinking the Role of Large Language Model in Robotic Computing Pipeline

If Eleanor Rigby Had Met ChatGPT: A Study on Loneliness in a Post-LLM World

Medchain: Bridging the Gap Between LLM Agents and Clinical Practice through Interactive Sequential Benchmarking

Agentic-HLS: An agentic reasoning based high-level synthesis system using large language models (AI for EDA workshop 2024)