Copertina

Efficient Scientific Full Text Classification: The Case of EICAT Impact Assessments

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Brinner, Marc Felix, Zarrieß, Sina
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

SemCSE: Semantic Contrastive Sentence Embeddings Using LLM-Generated Summaries For Scientific Abstracts
di: Brinner, Marc, et al.
Pubblicazione: (2025)

SemCSE-Multi: Multifaceted and Decodable Embeddings for Aspect-Specific and Interpretable Scientific Domain Mapping
di: Brinner, Marc, et al.
Pubblicazione: (2025)

Rationalizing Transformer Predictions via End-To-End Differentiable Self-Training
di: Brinner, Marc, et al.
Pubblicazione: (2025)

Model Interpretability and Rationale Extraction by Input Mask Optimization
di: Brinner, Marc, et al.
Pubblicazione: (2025)

Enhancing Domain-Specific Encoder Models with LLM-Generated Data: How to Leverage Ontologies, and How to Do Without Them
di: Brinner, Marc, et al.
Pubblicazione: (2025)

Subword models struggle with word learning, but surprisal hides it
di: Bunzeck, Bastian, et al.
Pubblicazione: (2025)

SceneGram: Conceptualizing and Describing Tangrams in Scene Context
di: Junker, Simeon, et al.
Pubblicazione: (2025)

Child-directed speech facilitates production, not comprehension, in BabyLMs
di: Bunzeck, Bastian, et al.
Pubblicazione: (2026)

The Frequency Confound in Language-Model Surprisal and Metaphor Novelty
di: Momen, Omar, et al.
Pubblicazione: (2026)

Resilience through Scene Context in Visual Referring Expression Generation
di: Junker, Simeon, et al.
Pubblicazione: (2024)

How Hypocritical Is Your LLM judge? Listener-Speaker Asymmetries in the Pragmatic Competence of Large Language Models
di: Sieker, Judith, et al.
Pubblicazione: (2026)

The InviTE Corpus: Annotating Invectives in Tudor English Texts for Computational Modeling
di: Spliethoff, Sophie, et al.
Pubblicazione: (2025)

LLMs Struggle to Reject False Presuppositions when Misinformation Stakes are High
di: Sieker, Judith, et al.
Pubblicazione: (2025)

Do Construction Distributions Shape Formal Language Learning In German BabyLMs?
di: Bunzeck, Bastian, et al.
Pubblicazione: (2025)

Can LLMs Ground when they (Don't) Know: A Study on Direct and Loaded Political Questions
di: Lachenmaier, Clara, et al.
Pubblicazione: (2025)

Talking to a Know-It-All GPT or a Second-Guesser Claude? How Repair reveals unreliable Multi-Turn Behavior in LLMs
di: Lachenmaier, Clara, et al.
Pubblicazione: (2026)

Implicit Causality-biases in humans and LLMs as a tool for benchmarking LLM discourse capabilities
di: Kankowski, Florian, et al.
Pubblicazione: (2025)

Are BabyLMs Deaf to Gricean Maxims? A Pragmatic Evaluation of Sample-efficient Language Models
di: Askari, Raha, et al.
Pubblicazione: (2025)

Reference Games as a Testbed for the Alignment of Model Uncertainty and Clarification Requests
di: Ali, Manar, et al.
Pubblicazione: (2026)

Evaluating Diversity in Automatic Poetry Generation
di: Chen, Yanran, et al.
Pubblicazione: (2024)

Small Language Models Also Work With Small Vocabularies: Probing the Linguistic Abilities of Grapheme- and Phoneme-Based Baby Llamas
di: Bunzeck, Bastian, et al.
Pubblicazione: (2024)

Are Multimodal Large Language Models Pragmatically Competent Listeners in Simple Reference Resolution Tasks?
di: Junker, Simeon, et al.
Pubblicazione: (2025)

Surprisal and Metaphor Novelty Judgments: Moderate Correlations and Divergent Scaling Effects Revealed by Corpus-Based and Synthetic Datasets
di: Momen, Omar, et al.
Pubblicazione: (2026)

Mining for Species, Locations, Habitats, and Ecosystems from Scientific Papers in Invasion Biology: A Large-Scale Exploratory Study with Large Language Models
di: D'Souza, Jennifer, et al.
Pubblicazione: (2025)

Large Language Models for Full-Text Methods Assessment: A Case Study on Mediation Analysis
di: Zhang, Wenqing, et al.
Pubblicazione: (2025)

Dialogue Is Not Enough to Make a Communicative BabyLM (But Neither Is Developmentally Inspired Reinforcement Learning)
di: Padovani, Francesca, et al.
Pubblicazione: (2025)

The Illusion of Competence: Evaluating the Effect of Explanations on Users' Mental Models of Visual Question Answering Systems
di: Sieker, Judith, et al.
Pubblicazione: (2024)

Reasoning for Hierarchical Text Classification: The Case of Patents
di: Jiang, Lekang, et al.
Pubblicazione: (2025)

AI-Assisted Scientific Assessment: A Case Study on Climate Change
di: Buck, Christian, et al.
Pubblicazione: (2026)

Fine-Tuning Large Language Models for Scientific Text Classification: A Comparative Study
di: Rostam, Zhyar Rzgar K, et al.
Pubblicazione: (2024)

Text Role Classification in Scientific Charts Using Multimodal Transformers
di: Kim, Hye Jin, et al.
Pubblicazione: (2024)

Context Selection for Hypothesis and Statistical Evidence Extraction from Full-Text Scientific Articles
di: Koneru, Sai, et al.
Pubblicazione: (2026)

Co-DETECT: Collaborative Discovery of Edge Cases in Text Classification
di: Xiong, Chenfei, et al.
Pubblicazione: (2025)

Putting Context in Context: the Impact of Discussion Structure on Text Classification
di: Penzo, Nicolò, et al.
Pubblicazione: (2024)

GerPS-Compare: Comparing NER methods for legal norm analysis
di: Bachinger, Sarah T., et al.
Pubblicazione: (2024)

Advancing Scientific Text Classification: Fine-Tuned Models with Dataset Expansion and Hard-Voting
di: Rostam, Zhyar Rzgar K, et al.
Pubblicazione: (2025)

QuakeBERT: Accurate Classification of Social Media Texts for Rapid Earthquake Impact Assessment
di: Han, Jin, et al.
Pubblicazione: (2024)

Towards Efficient Large Language Models for Scientific Text: A Review
di: To, Huy Quoc, et al.
Pubblicazione: (2024)

Efficient Text Classification with Conformal In-Context Learning
di: Pantelidis, Ippokratis, et al.
Pubblicazione: (2025)

Leveraging Parameter Efficient Training Methods for Low Resource Text Classification: A Case Study in Marathi
di: Deshmukh, Pranita, et al.
Pubblicazione: (2024)