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 9

March 26, 2025

Evaluating Large Language Models for Automated Clinical Abstraction in Pulmonary Embolism Registries: Performance Across Model Sizes, Versions, and Parameters
Pulmonary Embolism Large Language Model Front Door Criterion Model Size Version Identification
Multi-head Reward Aggregation Guided by Entropy
Stable Entropy Large Language Model Entropy Regularization Entropy Based Reward Model
D4R -- Exploring and Querying Relational Graphs Using Natural Language and Large Language Models -- the Case of Historical Documents
Natural Language Knowledge Extraction Text Document Text Analysis Large Language Model Historical Document
Assessing Generative Models for Structured Data
Synthetic Tabular Data Tabular Data Generative Evaluation Large Language Model Synthetic Data Generation Structured Data
TAMA: A Human-AI Collaborative Thematic Analysis Framework Using Multi-Agent LLMs for Clinical Interviews
Clinical Interview LLM Based Large Language Model Thematic Analysis
Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging
Model Merging Large Language Model LLM Reasoning Reasoning Depth Information Redundancy
Optimizing Case-Based Reasoning System for Functional Test Script Generation with Large Language Models
Faithful Generation Test Generation Test Case Case Based Reasoning Large Language Model
Injecting Adrenaline into LLM Serving: Boosting Resource Utilization and Throughput via Attention Disaggregation
Language Model Injection Drug Use Large Language Model Resource Utilization Worst Case User Throughput Attention Aggregation Decoder Only LLM
StableToolBench-MirrorAPI: Modeling Tool Environments as Mirrors of 7,000+ Real-World APIs
Large Language Model API Usage Tool Learning Simulation Environment Etruscan Mirror
MoRE-LLM: Mixture of Rule Experts Guided by a Large Language Model
Black Box Model Domain Knowledge Knowledge Alignment Mixture Component Large Language Model Inherent Interpretability
Iterative Prompting with Persuasion Skills in Jailbreaking Large Language Models
Language Model Persuasion Strategy Jailbreak Attack Prompt Attack Attack Success Rate Large Language Model
The cell as a token: high-dimensional geometry in language models and cell embeddings
Cell Center Cell Clustering Language Representation High Dimensional Space Cell Representation Large Language Model Language Model
Zero-Shot LLMs in Human-in-the-Loop RL: Replacing Human Feedback for Reward Shaping
Biased Feedback Episodic Reward Large Language Model Biased Decision Human Feedback Reward Shaping Human in the Loop Reinforcement
Leveraging Implicit Sentiments: Enhancing Reliability and Validity in Psychological Trait Evaluation of LLMs
Emotional Pattern Concurrent Validity Personality Classification Implicit Sentiment Large Language Model
Can We Make Code Green? Understanding Trade-Offs in LLMs vs. Human Code Optimizations
Trade Offs BBOB Function Large Language Model LLM Based Software Engineering Efficient Optimization Energy Minimization

Large Language Model

Papers - Page 9

Evaluating Large Language Models for Automated Clinical Abstraction in Pulmonary Embolism Registries: Performance Across Model Sizes, Versions, and Parameters

Multi-head Reward Aggregation Guided by Entropy

D4R -- Exploring and Querying Relational Graphs Using Natural Language and Large Language Models -- the Case of Historical Documents

Assessing Generative Models for Structured Data

TAMA: A Human-AI Collaborative Thematic Analysis Framework Using Multi-Agent LLMs for Clinical Interviews

Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging

Optimizing Case-Based Reasoning System for Functional Test Script Generation with Large Language Models

Injecting Adrenaline into LLM Serving: Boosting Resource Utilization and Throughput via Attention Disaggregation

StableToolBench-MirrorAPI: Modeling Tool Environments as Mirrors of 7,000+ Real-World APIs

MoRE-LLM: Mixture of Rule Experts Guided by a Large Language Model

Iterative Prompting with Persuasion Skills in Jailbreaking Large Language Models

The cell as a token: high-dimensional geometry in language models and cell embeddings

Zero-Shot LLMs in Human-in-the-Loop RL: Replacing Human Feedback for Reward Shaping

Leveraging Implicit Sentiments: Enhancing Reliability and Validity in Psychological Trait Evaluation of LLMs

Can We Make Code Green? Understanding Trade-Offs in LLMs vs. Human Code Optimizations

Bigger But Not Better: Small Neural Language Models Outperform Large Language Models in Detection of Thought Disorder

Cross-Tokenizer Distillation via Approximate Likelihood Matching

LLM-ABM for Transportation: Assessing the Potential of LLM Agents in System Analysis

OAEI-LLM-T: A TBox Benchmark Dataset for Understanding LLM Hallucinations in Ontology Matching Systems

CoLLM: A Large Language Model for Composed Image Retrieval