[2402.06196] Large Language Models: A Survey - arXiv.org
Feb 9, 2024 · In this paper, we review some of the most prominent LLMs, including three popular LLM families (GPT, LLaMA, PaLM), and discuss their characteristics, contributions and limitations.
[2512.24601] Recursive Language Models - arXiv.org
Dec 31, 2025 · We propose Recursive Language Models (RLMs), a general inference paradigm that treats long prompts as part of an external environment and allows the LLM to programmatically …
[2502.21321] LLM Post-Training: A Deep Dive into Reasoning ...
Feb 28, 2025 · View a PDF of the paper titled LLM Post-Training: A Deep Dive into Reasoning Large Language Models, by Komal Kumar and 9 other authors
Memento: Fine-tuning LLM Agents without Fine-tuning LLMs
Aug 22, 2025 · In this paper, we introduce a novel learning paradigm for Adaptive Large Language Model (LLM) agents that eliminates the need for fine-tuning the underlying LLMs.
[2307.06435] A Comprehensive Overview of Large Language Models
Jul 12, 2023 · This article provides an overview of the existing literature on a broad range of LLM-related concepts. Our self-contained comprehensive overview of LLMs discusses relevant background …
[2502.12110] A-MEM: Agentic Memory for LLM Agents - arXiv.org
Feb 17, 2025 · While large language model (LLM) agents can effectively use external tools for complex real-world tasks, they require memory systems to leverage historical experiences.
[2411.16594] From Generation to Judgment: Opportunities and ...
Nov 25, 2024 · This paper presents a comprehensive survey of LLM-based judgment and assessment, offering an in-depth overview to review this evolving field. We first provide the definition from both …