← Core AI
Artificial Intelligence › Core AI ›

Large Language Models

6405 directly classified papers

Papers per year

Papers

CTIBench: A Benchmark for Evaluating LLMs in Cyber Threat Intelligence NIPS 2024
Calibrated Self-Rewarding Vision Language Models NIPS 2024
MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention NIPS 2024
MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problems NIPS 2024
Autoformalize Mathematical Statements by Symbolic Equivalence and Semantic Consistency NIPS 2024
Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling NIPS 2024
EAI: Emotional Decision-Making of LLMs in Strategic Games and Ethical Dilemmas NIPS 2024
Can LLMs Implicitly Learn Numeric Parameter Constraints in Data Science APIs? NIPS 2024
LoRA-GA: Low-Rank Adaptation with Gradient Approximation NIPS 2024
An Efficient Recipe for Long Context Extension via Middle-Focused Positional Encoding NIPS 2024
CoIN: A Benchmark of Continual Instruction Tuning for Multimodel Large Language Models NIPS 2024
HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models NIPS 2024
YouDream: Generating Anatomically Controllable Consistent Text-to-3D Animals NIPS 2024
Safe LoRA: The Silver Lining of Reducing Safety Risks when Finetuning Large Language Models NIPS 2024
Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation NIPS 2024
Instruction Tuning With Loss Over Instructions NIPS 2024
DiReCT: Diagnostic Reasoning for Clinical Notes via Large Language Models NIPS 2024
kGym: A Platform and Dataset to Benchmark Large Language Models on Linux Kernel Crash Resolution NIPS 2024
Mixture of In-Context Experts Enhance LLMs' Long Context Awareness NIPS 2024
SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models NIPS 2024
Cross-model Control: Improving Multiple Large Language Models in One-time Training NIPS 2024
SocraticLM: Exploring Socratic Personalized Teaching with Large Language Models NIPS 2024
DoFIT: Domain-aware Federated Instruction Tuning with Alleviated Catastrophic Forgetting NIPS 2024
In-Context Learning with Representations: Contextual Generalization of Trained Transformers NIPS 2024
Large Language Models Must Be Taught to Know What They Don’t Know NIPS 2024