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Finally, the paper summarizes significant findings from LLM research and consolidates essential architectural and training strategies for developing advanced LLMs.

The research area of LLMs, while very recent, is evolving rapidly in many different ways. 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. We also give an overview of techniques developed to build, and augment LLMs.

View a PDF of the paper titled A Comprehensive Overview of Large Language Models, by Humza Naveed and 8 other authors. View PDF HTML ... With the rapid development of techniques and regular breakthroughs in LLM research, it has become considerably challenging to perceive the bigger picture of the advances in this direction. Considering the ...

LLM Theses and Essays . ... Each paper is a substantial work of legal research and analysis on a subject selected by the LL.M. student with guidance from the director of Graduate Legal Studies and a School of Law faculty member. Follow. Submissions from 2013 PDF. Some Important Causes for Settlement in American Civil Litigation, Felipe ...

on a state-of-the-art LLM, with those of students at an elite university. ChatGPT-4 can generate ideas much faster and cheaper than students, and the ideas are on average of higher quality (as measured by purchase-intent surveys) and exhibit higher variance in quality. More important, the vast majority of the best ideas in the pooled

Large Language Models (LLMs) recently demonstrated extraordinary capability in various natural language processing (NLP) tasks including language translation, text generation, question answering, etc. Moreover, LLMs are new and essential part of computerized language processing, having the ability to understand complex verbal patterns and generate coherent and appropriate replies in a given ...

The original paper described a self-adaptive LLM-based multiagent system [15] in which researchers proposed the d evelopment of a novel LLM/GPT-based agent architecture

research community, we open-source DeepSeek-R1-Zero, DeepSeek-R1, and six dense models (1.5B, 7B, 8B, 14B, 32B, 70B) distilled from DeepSeek-R1 based on Qwen and Llama. ... In this paper, we take the first step toward improving language model reasoning capabilities using pure reinforcement learning (RL). Our goal is to explore the potential of ...

research, methods must now be proven in more realistic settings. Here we demonstrate for the first time that scalable oversight can help humans more comprehensively assess model-written solutions to real-world assistant tasks. In particular we focus on one of the most important and economically impactful applications of LLM assistants: writing ...

To support the research community, we open-source DeepSeek-R1-Zero, DeepSeek-R1, and six dense models (1.5B, 7B, 8B, 14B, 32B, 70B) distilled from DeepSeek-R1 based on Qwen and Llama. ... View a PDF of the paper titled DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning, by DeepSeek-AI and 199 other authors. ...

The paper provides an examination of LangChain's core features, including its components and chains, acting as modular abstractions and customizable, use-case-specific pipelines, respectively.

the potential misuse of LLM chatbots for harmful purposes, such as propagat-ing misinformation or instigating social engineering attacks. The ethical aspects of LLM chatbots have also been the focus of several research studies. Scholars have emphasized the need for transparency and accountability in LLM chat-

Lost in the Middle: How Language Models Use Long Contexts Nelson F. Liu 1Kevin Lin2 John Hewitt Ashwin Paranjape3 Michele Bevilacqua 3Fabio Petroni Percy Liang1 1Stanford University 2University of California, Berkeley 3Samaya AI nfliu@cs.stanford.edu Abstract While recent language models have the abil-

A research paper submitted to the Faculty of Law of Law of the University of the Western Cape, in partial fulfilment of the requirements for the degree of Master of Law By: Taban Romano (student ID number 3875428) Supervisor: Professor Gerhard Werle

View PDF HTML (experimental) Abstract: Recent advancements in large language models (LLMs) have sparked optimism about their potential to accelerate scientific discovery, with a growing number of works proposing research agents that autonomously generate and validate new ideas. Despite this, no evaluations have shown that LLM systems can take the very first step of producing novel, expert ...

Finally, the paper concludes by highlighting the future of LLM research and the challenges that need to be addressed in order to make LLMs more reliable and useful.

View a PDF of the paper titled DAPO: An Open-Source LLM Reinforcement Learning System at Scale, by Qiying Yu and 34 other authors ... These components of our open-source system enhance reproducibility and support future research in large-scale LLM RL. Comments: Project Page: this https URL: Subjects: Machine Learning (cs.LG); Computation and ...

The papers cover various topics shaping the next generation of language models, from model optimization and scaling to reasoning, benchmarking, and enhancing performance. Keeping up with novel LLM research across these domains will help guide continued progress toward models that are more capable, robust, and aligned with human values.

considerations. This paper surveys the evidence for eight potentially surprising such points: 1. LLMs predictably get more capable with in-creasing investment, even without targeted innovation. 2. Many important LLM behaviors emerge un-predictably as a byproduct of increasing in-vestment. 3. LLMs often appear to learn and use repre-