"Large Language Models" · 483 results

Towards trustworthy large language models

Wang, BoxinUniversity of Illinois at Urbana-Champaign2023

Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-03-01 without embargo terms

uiuc Repository record for Towards trustworthy large language models (opens in a new tab)

Truthfulness in Large Language Models

Liu, KevinMassachusetts Institute of Technology2023

Large language models (LLMs) have been experiencing a rapid rise in utility, accessibility, and popularity, but there are still many areas in which they can improve. One such area for improvement is their truthfulness. We seek to improve the truthfulness of LLMs by probing their internal …

mit Repository record for Truthfulness in Large Language Models (opens in a new tab)

Knowledge Engineering via Large Language Models

TIDDIA, SANDRO GABRIELEUniversità degli Studi di Cagliari2026

… and understanding. This thesis investigates how Large Language Models (LLMs) can act as knowledge engineers, transforming raw text into structured, reusable, and queryable information. The central question guiding this work is how far the understanding capabilities of LLMs can automate the …

cagliari Repository record for Knowledge Engineering via Large Language Models (opens in a new tab)

Recognizing Speech with Large Language Models

Zeitoun, AbbasMassachusetts Institute of Technology2023

Recent work has shown that large language models can be made to parse the contents of non-text embeddings and use those contents to perform various tasks. However, work focusing on audio inputs to large language models has thus far focused on either training a joint audio-text model from scratch on …

mit Repository record for Recognizing Speech with Large Language Models (opens in a new tab)

Solving Graph Problems with Large Language Models

Angelo Zangari (24399059)2026

This thesis investigates how large language models (LLMs) can be used to solve classical computational problems on graphs. Graphs are a fundamental abstraction for representing real-world systems, such as social, transportation, and communication networks, but they pose unique challenges: their …

uic

Scalable information extraction with large language models

Zhang, QiTemple University. Libraries2026

… domain-specific document understanding. Although large language models (LLMs) have broadened the scope of IE through zero-shot and in-context extraction, scalable IE remains challenging in realistic settings, particularly for scientific and other specialized domains where labeled data is scarce, …

temple Repository record for Scalable information extraction with large language models (opens in a new tab)

Radiology Report Summarization With Large Language Models

Idlbi, Mahmoud2025

… using both decoder-only and encoder-decoder large language models (LLMs), specifically LLaMa 3.1-8B-Instruct and T5-Base. In the first stage, we fine-tune each model on MIMIC-CXR, a large publicly available dataset of chest radiographs with free-text radiology reports, to transform the …

queens Repository record for Radiology Report Summarization With Large Language Models (opens in a new tab)

Improving reasoning capabilities of large language models

Dixit, TanayUniversity of Illinois Urbana-Champaign2025

Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-05-01

uiuc Repository record for Improving reasoning capabilities of large language models (opens in a new tab)

Harnessing large language models for software engineering

Wei, YuxiangUniversity of Illinois at Urbana-Champaign2024

Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-12-01

uiuc Repository record for Harnessing large language models for software engineering (opens in a new tab)

Efficient Deployment Algorithms for Large Language Models

Xiao, GuangxuanMassachusetts Institute of Technology2024

Large language models (LLMs) have achieved impressive performance on various natural language tasks. However, their massive computational and memory requirements hinder widespread deployment. Additionally, deploying them on extensive inputs presents efficiency and accuracy challenges. This proposal …

mit Repository record for Efficient Deployment Algorithms for Large Language Models (opens in a new tab)

Efficient Uncertainty Quantification of Large Language Models

Li, AngelaMassachusetts Institute of Technology2025

Large Language Models (LLMs) have demonstrated remarkable success in many applications; however, their reliability remains a critical concern, especially in high-stakes domains such as healthcare, finance, and law. Uncertainty Quantification (UQ) is essential for assessing LLM outputs and ensuring …

mit Repository record for Efficient Uncertainty Quantification of Large Language Models (opens in a new tab)

Implicit pen annotation assisted by Large Language Models

Leung, BenedictUniversity of Ontario Institute of Technology2025

… tool with a digital pen. It leverages a Large Language Model (LLM) (1) to infer the underlying purposes of the user’s annotations and (2) automatically generates annotations with the same purpose throughout the document. AnnotateGPT aims to alleviate the burdens of manual annotation, …

uoit Repository record for Implicit pen annotation assisted by Large Language Models (opens in a new tab)

Trojan Detection in Large Language Models of Code

Hussain, AftabUniversity of Houston2024

This thesis is about defending large language models of code (Code-LLMs) against trojan attacks. Code-LLMs are widely used in software development for tasks such as vulnerability detection, clone detection, code completion, and code summarization. Popular platforms that use AI-assisted software …

houston Repository record for Trojan Detection in Large Language Models of Code (opens in a new tab)

Evaluating Large Language Models as Circuit Design Assistants

Cox, Matthew J.Massachusetts Institute of Technology2024

Large language models (LLMs) have exploded in capability in recent years. Previous attempts at AI systems for circuit design have had limited proficiency and been restricted in problem scope. LLMs, with their breadth of knowledge and reasoning ability, are a promising technology for a much more …

mit Repository record for Evaluating Large Language Models as Circuit Design Assistants (opens in a new tab)

Optimizing Large Language Models from a Data SystemsPerspective

Chen, Peter BaileMassachusetts Institute of Technology2025

… and reasoning capabilities are essential for large language models (LLMs) to effectively handle a broad spectrum of downstream tasks, such as open-domain question answering and solving math or science problems. While current LLM-based frameworks achieve strong performance on complex retrieval …

mit Repository record for Optimizing Large Language Models from a Data SystemsPerspective (opens in a new tab)

Evaluating Large Language Models for Turboshaft Engine Torque Prediction

Alessandro Tronconi (23291317)2025

… of transformer-based architectures. Among these, Large Language Models (LLMs), originally developed for natural language processing (NLP) tasks, have demonstrated strong capabilities in modeling sequences, learning from limited data, and integrating heterogeneous inputs. Their scalability and …

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