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.

7659papers

Papers - Page 25

April 8, 2025

ARLO: A Tailorable Approach for Transforming Natural Language Software Requirements into Architecture using LLMs
Software Requirement Large Language Model Natural Language Specification Natural Language Inclusion Requirement Medical LLM
Llama-3-Nanda-10B-Chat: An Open Generative Large Language Model for Hindi
Hindi English Multilingual Model Indian Language Large Language Model Hardware Design
Optuna vs Code Llama: Are LLMs a New Paradigm for Hyperparameter Tuning?
LLaMA 3 Hyperparameter Optimization Parameter Efficient Fine Tuning Hyperparameter Tuning Large Language Model New Paradigm Optimal Hyperparameters
NativQA Framework: Enabling LLMs with Native, Local, and Everyday Knowledge
High Resource Language QA Datasets LLM Benchmark Knowledge Based Large Language Model Native Speaker
Unsupervised Location Mapping for Narrative Corpora
Unsupervised Object Localization Narrative Text Unsupervised Manner Novel Corpus Spoken Narrative Large Language Model
From Stability to Inconsistency: A Study of Moral Preferences in LLMs
Core Stability Moral Foundation Large Language Model Study Feature Hard to Easy Inconsistency
Assessing Thai Dialect Performance in LLMs with Automatic Benchmarks and Human Evaluation
Large Language Model NLP Task Human Evaluation Medical LLM
Leveraging Robust Optimization for LLM Alignment under Distribution Shifts
LLM Alignment Large Language Model Robust Optimization Training Distribution Distributional Assumption Preference Alignment Product Distribution Two Shift
It's the same but not the same: Do LLMs distinguish Spanish varieties?
Language Model Large Language Model Continuous Spanish Spanish Language Model
Rank-Then-Score: Enhancing Large Language Models for Automated Essay Scoring
Essay Scoring Language Model Scoring Property Large Language Model First Stage Ranker
Automated Archival Descriptions with Federated Intelligence of LLMs
Large Language Model Data Format Data Pipeline Federated Data
StayLTC: A Cost-Effective Multimodal Framework for Hospital Length of Stay Forecasting
Continuous Time Dynamic Multimodal Framework Liquid Time Constant Large Language Model Hospital Length State of the Art Forecasting
Towards Smarter Hiring: Are Zero-Shot and Few-Shot Pre-trained LLMs Ready for HR Spoken Interview Transcript Analysis?
Data Readiness Pre Trained Large Language Model Human Evaluation Large Language Model
Graph-based Approaches and Functionalities in Retrieval-Augmented Generation: A Comprehensive Survey
Graph Learning Retrieval Augmented Generation Faithful Generation Graph Based Approach Graph Structured Data Non Functional Property Large Language Model Natural Language Comprehensive Survey
Leveraging Prompt-Tuning for Bengali Grammatical Error Explanation Using Large Language Models
Prompt Tuning Error Detection Natural Language Large Language Model Bangla Text Bengali OCR
TAGC: Optimizing Gradient Communication in Distributed Transformer Training
Transformer Based Model Transformer Based Gradient Compression Training Data Large Language Model Gradient Communication
Two Intermediate Translations Are Better Than One: Fine-tuning LLMs for Document-level Translation Refinement
Large Language Model Translation Task Document Level Translation Quality Document Representation
FactGuard: Leveraging Multi-Agent Systems to Generate Answerable and Unanswerable Questions for Enhanced Long-Context LLM Extraction
Fact Checking Long Context LLM Question Answer Pair Large Language Model Unanswerable Question Multi Agent System Knowledge Comprehension Capability
DEL: Context-Aware Dynamic Exit Layer for Efficient Self-Speculative Decoding
Auto Regressive Decoding Early Exit Speculative Decoding Large Language Model Fast Inference Accurate Decoding Speculative Execution

April 7, 2025

Large Language Model (LLM) for Software Security: Code Analysis, Malware Analysis, Reverse Engineering
Malware Analysis Malware Detection Malware Attack Software Security LLM Safety Code Analysis Reverse Engineering Large Language Model

Large Language Model

Papers - Page 25

ARLO: A Tailorable Approach for Transforming Natural Language Software Requirements into Architecture using LLMs

Llama-3-Nanda-10B-Chat: An Open Generative Large Language Model for Hindi

Optuna vs Code Llama: Are LLMs a New Paradigm for Hyperparameter Tuning?

NativQA Framework: Enabling LLMs with Native, Local, and Everyday Knowledge

Unsupervised Location Mapping for Narrative Corpora

From Stability to Inconsistency: A Study of Moral Preferences in LLMs

Assessing Thai Dialect Performance in LLMs with Automatic Benchmarks and Human Evaluation

Leveraging Robust Optimization for LLM Alignment under Distribution Shifts

It's the same but not the same: Do LLMs distinguish Spanish varieties?

Rank-Then-Score: Enhancing Large Language Models for Automated Essay Scoring

Automated Archival Descriptions with Federated Intelligence of LLMs

StayLTC: A Cost-Effective Multimodal Framework for Hospital Length of Stay Forecasting

Towards Smarter Hiring: Are Zero-Shot and Few-Shot Pre-trained LLMs Ready for HR Spoken Interview Transcript Analysis?

Graph-based Approaches and Functionalities in Retrieval-Augmented Generation: A Comprehensive Survey

Leveraging Prompt-Tuning for Bengali Grammatical Error Explanation Using Large Language Models

TAGC: Optimizing Gradient Communication in Distributed Transformer Training

Two Intermediate Translations Are Better Than One: Fine-tuning LLMs for Document-level Translation Refinement

FactGuard: Leveraging Multi-Agent Systems to Generate Answerable and Unanswerable Questions for Enhanced Long-Context LLM Extraction

DEL: Context-Aware Dynamic Exit Layer for Efficient Self-Speculative Decoding

Large Language Model (LLM) for Software Security: Code Analysis, Malware Analysis, Reverse Engineering