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 25, 2024

Navigating the Nuances: A Fine-grained Evaluation of Vision-Language Navigation
Zehao Wang, Minye Wu, Yixin Cao, Yubo Ma, Meiqi Chen, Tinne Tuytelaars
Large Language Model Fine Grained Language Navigation Context Free Grammar Domain Based Nuance Instruction Hierarchy
Consistent estimation of generative model representations in the data kernel perspective space
Aranyak Acharyya, Michael W. Trosset, Carey E. Priebe, Hayden S. Helm
Large Language Model Generative Model Text to Image Diffusion Model Generative Modeling Feature Embeddings Consistent Estimator Model Produced Embeddings
Mnemosyne: Parallelization Strategies for Efficiently Serving Multi-Million Context Length LLM Inference Requests Without Approximations
Amey Agrawal, Junda Chen, Íñigo Goiri, Ramachandran Ramjee, Chaojie Zhang, Alexey Tumanov, Esha Choukse
Large Language Model Long Context Average Approximation Chunk Wise Long Context LLM Parallelization Strategy
Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia
Azmul Asmar Irfan, Nur Ahmad Khatim, Mansur M. Arief
Large Language Model Structured Summary Doctor Patient
Counterfactual Token Generation in Large Language Models
Ivi Chatzi, Nina Corvelo Benz, Eleni Straitouri, Stratis Tsirtsis, Manuel Gomez-Rodriguez
Large Language Model Causal Model High Quality Counterfactuals Counterfactual Generation Token Generation
AXCEL: Automated eXplainable Consistency Evaluation using LLMs
P Aditya Sreekar, Sahil Verma, Suransh Chopra, Sarik Ghazarian, Abhishek Persad, Narayanan Sadagopan
Large Language Model Natural Language Inference Prompt Based Method
Decoding Large-Language Models: A Systematic Overview of Socio-Technical Impacts, Constraints, and Emerging Questions
Zeyneb N. Kaya, Souvick Ghosh
Large Language Model Natural Language Processing Human Language Comprehensive Survey Participation Constraint Open Ended LLM Generated Socio Technical System
Adaptive Self-Supervised Learning Strategies for Dynamic On-Device LLM Personalization
Rafael Mendoza, Isabella Cruz, Richard Liu, Aarav Deshmukh, David Williams, Jesscia Peng, Rohan Iyer
Large Language Model Context Aware Personalization Performance User Profile
DALDA: Data Augmentation Leveraging Diffusion Model and LLM with Adaptive Guidance Scaling
Kyuheon Jung, Yongdeuk Seo, Seongwoo Cho, Jaeyoung Kim, Hyun-seok Min, Sungchul Choi
Large Language Model Synthetic Image Training Image Robust Guidance Diffusion Based Data Augmentation
Zero-Shot Detection of LLM-Generated Text using Token Cohesiveness
Shixuan Ma, Quan Wang
Large Language Model LLM Generated Zero Shot Detection
Pruning Multilingual Large Language Models for Multilingual Inference
Hwichan Kim, Jun Suzuki, Tosho Hirasawa, Mamoru Komachi
Large Language Model Multilingual Large Language Model Multilingual Data English Dataset Cross Lingual Natural Language Inference Translation Capability
A Roadmap for Embodied and Social Grounding in LLMs
Sara Incao, Carlo Mazzola, Giulia Belgiovine, Alessandra Sciutti
Large Language Model Non Humanoid Robot Robotics Domain Multimodal Input Embodied Vision Task Driven Exploration
GRACE: Generating Socially Appropriate Robot Actions Leveraging LLMs and Human Explanations
Fethiye Irmak Dogan, Umut Ozyurt, Gizem Cinar, Hatice Gunes
Large Language Model Non Humanoid Robot Service Robot Robot Action Human Explanation Human Action
Multi-objective Evolution of Heuristic Using Large Language Model
Shunyu Yao, Fei Liu, Xi Lin, Zhichao Lu, Zhenkun Wang, Qingfu Zhang
Large Language Model Heuristic Search Cognitive Heuristic Heuristic Design
The Role of Language Models in Modern Healthcare: A Comprehensive Review
Amna Khalid, Ayma Khalid, Umar Khalid
Large Language Model Language Model Natural Language Integral Role Comprehensive Review Medical Data Healthcare Application Real World Healthcare
Mitigating the Bias of Large Language Model Evaluation
Hongli Zhou, Hui Huang, Yunfei Long, Bing Xu, Conghui Zhu, Hailong Cao, Muyun Yang, Tiejun Zhao
Large Language Model Absolute Stance Bias Contrastive Training Bias Benchmark Fine Tuned Judge Model
Beyond Turing Test: Can GPT-4 Sway Experts' Decisions?
Takehiro Takayanagi, Hiroya Takamura, Kiyoshi Izumi, Chung-Chi Chen
Large Language Model Generative Model Global Evaluation Expert Knowledge GPT 4 LLM Generated Decision Relevant Information Persuasive Argument Turing Test
A Survey of Low-bit Large Language Models: Basics, Systems, and Algorithms
Ruihao Gong, Yifu Ding, Zining Wang, Chengtao Lv, Xingyu Zheng, Jinyang Du, Haotong Qin, Jinyang Guo, Michele Magno, Xianglong Liu
Large Language Model Language Model Natural Language Processing Timely Survey Practical Algorithm System Description Basic Concept Low Bit Quantization
Speech Recognition Rescoring with Large Speech-Text Foundation Models
Prashanth Gurunath Shivakumar, Jari Kolehmainen, Aditya Gourav, Yi Gu, Ankur Gandhe, Ariya Rastrow, Ivan Bulyko
Large Language Model Multi Modal Large Language Model Language Model Rescoring
Judgment of Thoughts: Courtroom of the Binary Logical Reasoning in Large Language Models
Sungjune Park, Daeseon Choi
Large Language Model Complex Reasoning Reasoning Task Prompt Engineering Thought Reasoning Legal Judgment Discrete Reasoning

Large Language Model

Papers

Navigating the Nuances: A Fine-grained Evaluation of Vision-Language Navigation

Consistent estimation of generative model representations in the data kernel perspective space

Mnemosyne: Parallelization Strategies for Efficiently Serving Multi-Million Context Length LLM Inference Requests Without Approximations

Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia

Counterfactual Token Generation in Large Language Models

AXCEL: Automated eXplainable Consistency Evaluation using LLMs

Decoding Large-Language Models: A Systematic Overview of Socio-Technical Impacts, Constraints, and Emerging Questions

Adaptive Self-Supervised Learning Strategies for Dynamic On-Device LLM Personalization

DALDA: Data Augmentation Leveraging Diffusion Model and LLM with Adaptive Guidance Scaling

Zero-Shot Detection of LLM-Generated Text using Token Cohesiveness

Pruning Multilingual Large Language Models for Multilingual Inference

A Roadmap for Embodied and Social Grounding in LLMs

GRACE: Generating Socially Appropriate Robot Actions Leveraging LLMs and Human Explanations

Multi-objective Evolution of Heuristic Using Large Language Model

The Role of Language Models in Modern Healthcare: A Comprehensive Review

Mitigating the Bias of Large Language Model Evaluation

Beyond Turing Test: Can GPT-4 Sway Experts' Decisions?

A Survey of Low-bit Large Language Models: Basics, Systems, and Algorithms

Speech Recognition Rescoring with Large Speech-Text Foundation Models

Judgment of Thoughts: Courtroom of the Binary Logical Reasoning in Large Language Models