:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Schiller, Christian A.
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence Machine Learning
Online Access:	https://arxiv.org/abs/2403.09743
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Concurrent Linguistic Error Detection (CLED): a New Methodology for Error Detection in Large Language Models
by: Zhu, Jinhua, et al.
Published: (2024)

ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models
by: Baek, Jinheon, et al.
Published: (2024)

A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations
by: Laskar, Md Tahmid Rahman, et al.
Published: (2024)

Correlated Errors in Large Language Models
by: Kim, Elliot, et al.
Published: (2025)

Systematic Outliers in Large Language Models
by: An, Yongqi, et al.
Published: (2025)

Systematic Literature Review: Computational Approaches for Humour Style Classification
by: Kenneth, Mary Ogbuka, et al.
Published: (2024)

A Systematic Comparison of Syllogistic Reasoning in Humans and Language Models
by: Eisape, Tiwalayo, et al.
Published: (2023)

A Systematic Survey on Large Language Models for Algorithm Design
by: Liu, Fei, et al.
Published: (2024)

Paraphrase and Aggregate with Large Language Models for Minimizing Intent Classification Errors
by: Yadav, Vikas, et al.
Published: (2024)

BiSup: Bidirectional Quantization Error Suppression for Large Language Models
by: Zou, Minghui, et al.
Published: (2024)

Boosting of Thoughts: Trial-and-Error Problem Solving with Large Language Models
by: Chen, Sijia, et al.
Published: (2024)

Large Human Language Models: A Need and the Challenges
by: Soni, Nikita, et al.
Published: (2023)

Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction
by: Li, Xiaoyuan, et al.
Published: (2024)

Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors
by: Daheim, Nico, et al.
Published: (2024)

MemTrace: Tracing and Attributing Errors in Large Language Model Memory Systems
by: Deng, Xinle, et al.
Published: (2026)

Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications
by: Zhang, Yanxiang, et al.
Published: (2025)

Are Human Conversations Special? A Large Language Model Perspective
by: Jawale, Toshish, et al.
Published: (2024)

FactorLLM: Factorizing Knowledge via Mixture of Experts for Large Language Models
by: Zhao, Zhongyu, et al.
Published: (2024)

Detecting Memorization in Large Language Models
by: Slonski, Eduardo
Published: (2024)

Exploring Anti-Aging Literature via ConvexTopics and Large Language Models
by: Yeganova, Lana E., et al.
Published: (2026)

GAPMAP: Mapping Scientific Knowledge Gaps in Biomedical Literature Using Large Language Models
by: Salem, Nourah M, et al.
Published: (2025)

A Systematic Literature Review on LLM Defenses Against Prompt Injection and Jailbreaking: Expanding NIST Taxonomy
by: Correia, Pedro H. Barcha, et al.
Published: (2026)

Efficient Systematic Reviews: Literature Filtering with Transformers & Transfer Learning
by: Hawkins, John, et al.
Published: (2024)

Towards Incremental Learning in Large Language Models: A Critical Review
by: Jovanovic, Mladjan, et al.
Published: (2024)

SEAL: Systematic Error Analysis for Value ALignment
by: Revel, Manon, et al.
Published: (2024)

Advancing Tool-Augmented Large Language Models: Integrating Insights from Errors in Inference Trees
by: Chen, Sijia, et al.
Published: (2024)

BiTA: Bi-Directional Tuning for Lossless Acceleration in Large Language Models
by: Lin, Feng, et al.
Published: (2024)

Revisiting Graph-Tokenizing Large Language Models: A Systematic Evaluation of Graph Token Understanding
by: Zhang, Zhongjian, et al.
Published: (2026)

Large Language Models for Cross-lingual Emotion Detection
by: Kadiyala, Ram Mohan Rao
Published: (2024)

Large Language Models for Detection of Life-Threatening Texts
by: Nguyen, Thanh Thi, et al.
Published: (2025)

Mathematical Reasoning in Large Language Models: Assessing Logical and Arithmetic Errors across Wide Numerical Ranges
by: Shrestha, Safal, et al.
Published: (2025)

Beyond Labels: Aligning Large Language Models with Human-like Reasoning
by: Kabir, Muhammad Rafsan, et al.
Published: (2024)

How do Language Models Generate Slang: A Systematic Comparison between Human and Machine-Generated Slang Usages
by: Wu, Siyang, et al.
Published: (2025)

Large Language Model Enhanced Clustering for News Event Detection
by: Tarekegn, Adane Nega
Published: (2024)

Hallucination to Truth: A Review of Fact-Checking and Factuality Evaluation in Large Language Models
by: Rahman, Subhey Sadi, et al.
Published: (2025)

(Im)possibility of Automated Hallucination Detection in Large Language Models
by: Karbasi, Amin, et al.
Published: (2025)

Scalable Token-Level Hallucination Detection in Large Language Models
by: Min, Rui, et al.
Published: (2026)

Single-pass Detection of Jailbreaking Input in Large Language Models
by: Candogan, Leyla Naz, et al.
Published: (2025)

Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators
by: Liu, Yinhong, et al.
Published: (2024)

Param$Δ$ for Direct Weight Mixing: Post-Train Large Language Model at Zero Cost
by: Cao, Sheng, et al.
Published: (2025)