Cover Image

Quantification of Biodiversity from Historical Survey Text with LLM-based Best-Worst Scaling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Haider, Thomas, Perschl, Tobias, Rehbein, Malte
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

"You are an expert annotator": Automatic Best-Worst-Scaling Annotations for Emotion Intensity Modeling
by: Bagdon, Christopher, et al.
Published: (2024)

Certified Mitigation of Worst-Case LLM Copyright Infringement
by: Zhang, Jingyu, et al.
Published: (2025)

Text Classification using Graph Convolutional Networks: A Comprehensive Survey
by: Rizvi, Syed Mustafa Haider, et al.
Published: (2024)

Exploring Spatial Representations in the Historical Lake District Texts with LLM-based Relation Extraction
by: Haris, Erum, et al.
Published: (2024)

Attribution, Citation, and Quotation: A Survey of Evidence-based Text Generation with Large Language Models
by: Schreieder, Tobias, et al.
Published: (2025)

For Generated Text, Is NLI-Neutral Text the Best Text?
by: Mersinias, Michail, et al.
Published: (2023)

Uncertainty Quantification and Decomposition for LLM-based Recommendation
by: Kweon, Wonbin, et al.
Published: (2025)

Open Korean Historical Corpus: A Millennia-Scale Diachronic Collection of Public Domain Texts
by: Song, Seyoung, et al.
Published: (2025)

Fast Best-of-N Decoding via Speculative Rejection
by: Sun, Hanshi, et al.
Published: (2024)

Uncertainty Quantification for LLM Function-Calling
by: Ye, Zihuiwen, et al.
Published: (2026)

Best Practices for Text Annotation with Large Language Models
by: Törnberg, Petter
Published: (2024)

Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL
by: Hong, Zijin, et al.
Published: (2024)

HiStruct+: Improving Extractive Text Summarization with Hierarchical Structure Information
by: Ruan, Qian, et al.
Published: (2022)

Estimating Semantic Alphabet Size for LLM Uncertainty Quantification
by: McCabe, Lucas H., et al.
Published: (2025)

Surveying the Dead Minds: Historical-Psychological Text Analysis with Contextualized Construct Representation (CCR) for Classical Chinese
by: Chen, Yuqi, et al.
Published: (2024)

Reference-Based Post-OCR Processing with LLM for Precise Diacritic Text in Historical Document Recognition
by: Do, Thao, et al.
Published: (2024)

Divide, Optimize, Merge: Fine-Grained LLM Agent Optimization at Scale
by: Liu, Jiale, et al.
Published: (2025)

Scaling Worst-Case Optimal Datalog to GPUs
by: Sun, Yihao, et al.
Published: (2026)

HistoLens: An LLM-Powered Framework for Multi-Layered Analysis of Historical Texts -- A Case Application of Yantie Lun
by: Zeng, Yifan
Published: (2024)

Survey of Query-based Text Summarization
by: Yu, Hang, et al.
Published: (2022)

Discovering Multi-Scale Semantic Structure in Text Corpora Using Density-Based Trees and LLM Embeddings
by: Haschka, Thomas, et al.
Published: (2025)

Performance-Guided LLM Knowledge Distillation for Efficient Text Classification at Scale
by: Di Palo, Flavio, et al.
Published: (2024)

ParsiPy: NLP Toolkit for Historical Persian Texts in Python
by: Farsi, Farhan, et al.
Published: (2025)

Improving OCR for Historical Texts of Multiple Languages
by: Westerdijk, Hylke, et al.
Published: (2025)

A Survey on Current Trends and Recent Advances in Text Anonymization
by: Deußer, Tobias, et al.
Published: (2025)

Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey
by: Liu, Xiaoou, et al.
Published: (2025)

Decoding the Past: Explainable Machine Learning Models for Dating Historical Texts
by: Pinto, Paulo J. N., et al.
Published: (2025)

Telephone Surveys Meet Conversational AI: Evaluating a LLM-Based Telephone Survey System at Scale
by: Lang, Max M., et al.
Published: (2025)

On the Worst Prompt Performance of Large Language Models
by: Cao, Bowen, et al.
Published: (2024)

The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States
by: Ridder, Fabian, et al.
Published: (2024)

Thinking Machines: A Survey of LLM based Reasoning Strategies
by: Bandyopadhyay, Dibyanayan, et al.
Published: (2025)

Connecting the Dots: What Graph-Based Text Representations Work Best for Text Classification Using Graph Neural Networks?
by: Bugueño, Margarita, et al.
Published: (2023)

Writing Like the Best: Exemplar-Based Expository Text Generation
by: Liu, Yuxiang, et al.
Published: (2025)

A Survey on LLM-based Conversational User Simulation
by: Ni, Bo, et al.
Published: (2026)

Contrastive Entity Coreference and Disambiguation for Historical Texts
by: Arora, Abhishek, et al.
Published: (2024)

CLIBD: Bridging Vision and Genomics for Biodiversity Monitoring at Scale
by: Gong, ZeMing, et al.
Published: (2024)

Research on Graph-Retrieval Augmented Generation Based on Historical Text Knowledge Graphs
by: Fan, Yang, et al.
Published: (2025)

Historical German Text Normalization Using Type- and Token-Based Language Modeling
by: Ehrmanntraut, Anton
Published: (2024)

A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future Directions
by: Wu, Junchao, et al.
Published: (2023)

SegHist: A General Segmentation-based Framework for Chinese Historical Document Text Line Detection
by: Hu, Xingjian, et al.
Published: (2024)