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

September 19, 2024

Textualized Agent-Style Reasoning for Complex Tasks by Multiple Round LLM Generation
Chen Liang, Zhifan Feng, Zihe Liu, Wenbin Jiang, Jinan Xu, Yufeng Chen, Yong Wang
Large Language Model Multi Agent Chain of Thought Complex Task Reasoning Process LLM Generation Autonomous LLM
On the Effectiveness of LLMs for Manual Test Verifications
Myron David Lucena Campos Peixoto, Davy de Medeiros Baia, Nathalia Nascimento, Paulo Alencar, Baldoino Fonseca, Márcio Ribeiro
Large Language Model Level Test

September 18, 2024

RAG-Modulo: Solving Sequential Tasks using Experience, Critics, and Language Models
Abhinav Jain, Chris Jermaine, Vaibhav Unhelkar
Large Language Model Language Model Robot Learning LLM Based Agent eXperience Report Multiple Critic Sequential Task Page Wise Feedback LLM Assisted Decision Making
Bootstrapping Object-level Planning with Large Language Models
David Paulius, Alejandro Agostini, Benedict Quartey, George Konidaris
Large Language Model Task Planning Refined Schema Functional Object Oriented Network
Fine-Tuning a Time Series Foundation Model with Wasserstein Loss
Andrei Chernov
Large Language Model Natural Language Processing Fine Tuning Cross Entropy Loss Time Series Foundation Model
Gender Representation and Bias in Indian Civil Service Mock Interviews
Somonnoy Banerjee, Sujan Dutta, Soumyajit Datta, Ashiqur R. KhudaBukhsh
Large Language Model Absolute Stance Bias Gender Bias Novel Dataset Mock Interview
To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning
Zayne Sprague, Fangcong Yin, Juan Diego Rodriguez, Dongwei Jiang, Manya Wadhwa, Prasann Singhal, Xinyu Zhao, Xi Ye, Kyle Mahowald, Greg Durrett
Large Language Model Complex Reasoning Chain of Thought Reasoning Capability Level Mathematics Symbolic Reasoning
Finetuning Language Models to Emit Linguistic Expressions of Uncertainty
Arslan Chaudhry, Sridhar Thiagarajan, Dilan Gorur
Large Language Model Language Model Question Answering High Uncertainty Anticipation Language Model Fine Tuning Uncertainty Prediction Natural Language Expression Controllable Expression
Decoding Style: Efficient Fine-Tuning of LLMs for Image-Guided Outfit Recommendation with Preference
Najmeh Forouzandehmehr, Nima Farrokhsiar, Ramin Giahi, Evren Korpeoglu, Kannan Achan
Large Language Model Preference Feedback Fashion Image Outfit Completion Fashion Recommendation Outfit Generation
BodyShapeGPT: SMPL Body Shape Manipulation with LLMs
Baldomero R. Árbol, Dan Casas
Large Language Model Generative AI Model Fine Tuned Large Language Model Body Shape Shape Space 3D Human Shape
VERA: Validation and Enhancement for Retrieval Augmented systems
Nitin Aravind Birur, Tanay Baswa, Divyanshu Kumar, Jatan Loya, Sahil Agarwal, Prashanth Harshangi
Large Language Model Retrieval Augmented Generation Feature Enhancement Response Generation External Validation Retrieval Augmented Language Model Event Based Video Retrieval Augmented System
Dual-Layer Training and Decoding of Large Language Model with Simultaneously Thinking and Speaking
Ningyuan Xi, Xiaoyu Wang, Yetao Wu, Teng Chen, Qingqing Gu, Jinxian Qu, Zhonglin Jiang, Yong Chen, Luo Ji
Large Language Model Language Model Accurate Decoding Human Thinking Dual Convolutional
Using Large Language Models to Generate Clinical Trial Tables and Figures
Yumeng Yang, Peter Krusche, Kristyn Pantoja, Cheng Shi, Ethan Ludmir, Kirk Roberts, Gen Zhu
Large Language Model Clinical Trial LTLf Synthesis
Sampling Latent Material-Property Information From LLM-Derived Embedding Representations
Luke P. J. Gilligan, Matteo Cobelli, Hasan M. Sayeed, Taylor D. Sparks, Stefano Sanvito
Large Language Model Jina Embeddings Meaningful Representation Vector Embeddings Material Representation
Efficacy of Synthetic Data as a Benchmark
Gaurav Maheshwari, Dmitry Ivanov, Kevin El Haddad
Large Language Model New Benchmark Synthetic Data Entity Recognition NLP Task
LLM-wrapper: Black-Box Semantic-Aware Adaptation of Vision-Language Models for Referring Expression Comprehension
Amaia Cardiel, Eloi Zablocki, Elias Ramzi, Oriane Siméoni, Matthieu Cord
Large Language Model Vision Language Model Black Box Open Vocabulary Referring Expression Comprehension Lightweight LLM Semantic Reasoning
LLMs in Education: Novel Perspectives, Challenges, and Opportunities
Bashar Alhafni, Sowmya Vajjala, Stefano Bannò, Kaushal Kumar Maurya, Ekaterina Kochmar
Large Language Model Technical Challenge NLP Field Emerging Opportunity Education Domain New Perspective Intelligent Tutoring System Educational Application
LLMs + Persona-Plug = Personalized LLMs
Jiongnan Liu, Yutao Zhu, Shuting Wang, Xiaochi Wei, Erxue Min, Yu Lu, Shuaiqiang Wang, Dawei Yin, Zhicheng Dou
Large Language Model Language Model LLM Personalization
Local Explanations and Self-Explanations for Assessing Faithfulness in black-box LLMs
Christos Fragkathoulas, Odysseas S. Chlapanis
Large Language Model Line by Line Explanation Explainability Method Local Explanation QA Datasets Black Box Large Language Model Self Explanation
The Factuality of Large Language Models in the Legal Domain
Rajaa El Hamdani, Thomas Bonald, Fragkiskos Malliaros, Nils Holzenberger, Fabian Suchanek
Large Language Model Context Example Factual Claim Factual Accuracy

Large Language Model

Papers

Textualized Agent-Style Reasoning for Complex Tasks by Multiple Round LLM Generation

On the Effectiveness of LLMs for Manual Test Verifications

RAG-Modulo: Solving Sequential Tasks using Experience, Critics, and Language Models

Bootstrapping Object-level Planning with Large Language Models

Fine-Tuning a Time Series Foundation Model with Wasserstein Loss

Gender Representation and Bias in Indian Civil Service Mock Interviews

To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Finetuning Language Models to Emit Linguistic Expressions of Uncertainty

Decoding Style: Efficient Fine-Tuning of LLMs for Image-Guided Outfit Recommendation with Preference

BodyShapeGPT: SMPL Body Shape Manipulation with LLMs

VERA: Validation and Enhancement for Retrieval Augmented systems

Dual-Layer Training and Decoding of Large Language Model with Simultaneously Thinking and Speaking

Using Large Language Models to Generate Clinical Trial Tables and Figures

Sampling Latent Material-Property Information From LLM-Derived Embedding Representations

Efficacy of Synthetic Data as a Benchmark

LLM-wrapper: Black-Box Semantic-Aware Adaptation of Vision-Language Models for Referring Expression Comprehension

LLMs in Education: Novel Perspectives, Challenges, and Opportunities

LLMs + Persona-Plug = Personalized LLMs

Local Explanations and Self-Explanations for Assessing Faithfulness in black-box LLMs

The Factuality of Large Language Models in the Legal Domain