Copertina

LLM-Metrics: Measuring Research Impact Through Large Language Model Memory

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Shen, Si, Zhao, Wenhua, Zhu, Danhao
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

RevOrder: A Novel Method for Enhanced Arithmetic in Language Models
di: Shen, Si, et al.
Pubblicazione: (2024)

Mitigating Think-Answer Mismatch in LLM Reasoning Through Noise-Aware Advantage Reweighting
di: Shen, Si, et al.
Pubblicazione: (2025)

Empowering Working Memory for Large Language Model Agents
di: Guo, Jing, et al.
Pubblicazione: (2023)

Cognitive Memory in Large Language Models
di: Shan, Lianlei, et al.
Pubblicazione: (2025)

Measuring and Analyzing Intelligence via Contextual Uncertainty in Large Language Models using Information-Theoretic Metrics
di: Shim, Jae Wan
Pubblicazione: (2025)

Establishing Reliability Metrics for Reward Models in Large Language Models
di: Chen, Yizhou, et al.
Pubblicazione: (2025)

DynLLM: When Large Language Models Meet Dynamic Graph Recommendation
di: Zhao, Ziwei, et al.
Pubblicazione: (2024)

STEP-LLM: Generating CAD STEP Models from Natural Language with Large Language Models
di: Shi, Xiangyu, et al.
Pubblicazione: (2026)

Lightweight LLM Agent Memory with Small Language Models
di: Zhang, Jiaquan, et al.
Pubblicazione: (2026)

A Survey on the Memory Mechanism of Large Language Model based Agents
di: Zhang, Zeyu, et al.
Pubblicazione: (2024)

Novelty Adaptation Through Hybrid Large Language Model (LLM)-Symbolic Planning and LLM-guided Reinforcement Learning
di: Lu, Hong, et al.
Pubblicazione: (2026)

Secret Use of Large Language Model (LLM)
di: Zhang, Zhiping, et al.
Pubblicazione: (2024)

LUT-LLM: Efficient Large Language Model Inference with Memory-based Computations on FPGAs
di: He, Zifan, et al.
Pubblicazione: (2025)

SpreadsheetLLM: Encoding Spreadsheets for Large Language Models
di: Dong, Haoyu, et al.
Pubblicazione: (2024)

Measuring Social Norms of Large Language Models
di: Yuan, Ye, et al.
Pubblicazione: (2024)

Memory in Large Language Models: Mechanisms, Evaluation and Evolution
di: Zhang, Dianxing, et al.
Pubblicazione: (2025)

Evaluating LLM Metrics Through Real-World Capabilities
di: Miller, Justin K, et al.
Pubblicazione: (2025)

DETAIL Matters: Measuring the Impact of Prompt Specificity on Reasoning in Large Language Models
di: Kim, Olivia
Pubblicazione: (2025)

Measuring Physical-World Privacy Awareness of Large Language Models: An Evaluation Benchmark
di: Shen, Xinjie, et al.
Pubblicazione: (2025)

Perovskite-LLM: Knowledge-Enhanced Large Language Models for Perovskite Solar Cell Research
di: Liu, Xiang, et al.
Pubblicazione: (2025)

Towards Repository-Level Program Verification with Large Language Models
di: Zhong, Si Cheng, et al.
Pubblicazione: (2025)

Uncertainty Under the Curve: A Sequence-Level Entropy Area Metric for Reasoning LLM
di: Zhu, Yongfu, et al.
Pubblicazione: (2025)

Safety Layers in Aligned Large Language Models: The Key to LLM Security
di: Li, Shen, et al.
Pubblicazione: (2024)

MemoryRewardBench: Benchmarking Reward Models for Long-Term Memory Management in Large Language Models
di: Tang, Zecheng, et al.
Pubblicazione: (2026)

LLM in a flash: Efficient Large Language Model Inference with Limited Memory
di: Alizadeh, Keivan, et al.
Pubblicazione: (2023)

Political-LLM: Large Language Models in Political Science
di: Li, Lincan, et al.
Pubblicazione: (2024)

Edge-First Language Model Inference: Models, Metrics, and Tradeoffs
di: Jang, SiYoung, et al.
Pubblicazione: (2025)

PMPO: Probabilistic Metric Prompt Optimization for Small and Large Language Models
di: Zhao, Chenzhuo, et al.
Pubblicazione: (2025)

$δ$-mem: Efficient Online Memory for Large Language Models
di: Lei, Jingdi, et al.
Pubblicazione: (2026)

BriLLM: Brain-inspired Large Language Model
di: Zhao, Hai, et al.
Pubblicazione: (2025)

Measuring the Impact of Lexical Training Data Coverage on Hallucination Detection in Large Language Models
di: Zhang, Shuo, et al.
Pubblicazione: (2025)

Large Language Models Prompting With Episodic Memory
di: Do, Dai, et al.
Pubblicazione: (2024)

LC-LLM: Explainable Lane-Change Intention and Trajectory Predictions with Large Language Models
di: Peng, Mingxing, et al.
Pubblicazione: (2024)

G-MemLLM: Gated Latent Memory Augmentation for Long-Context Reasoning in Large Language Models
di: Xu, Xun
Pubblicazione: (2026)

From LLM to Conversational Agent: A Memory Enhanced Architecture with Fine-Tuning of Large Language Models
di: Liu, Na, et al.
Pubblicazione: (2024)

PMG : Personalized Multimodal Generation with Large Language Models
di: Shen, Xiaoteng, et al.
Pubblicazione: (2024)

ScholarGym: Benchmarking Large Language Model Capabilities in the Information-Gathering Stage of Deep Research
di: Shen, Hao, et al.
Pubblicazione: (2026)

Predicting Empirical AI Research Outcomes with Language Models
di: Wen, Jiaxin, et al.
Pubblicazione: (2025)

BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language Models
di: Li, Yige, et al.
Pubblicazione: (2024)

The Impact of Reasoning Step Length on Large Language Models
di: Jin, Mingyu, et al.
Pubblicazione: (2024)