UNH at CheckThat! 2025: Fine-tuning Vs Prompting in Claim Extraction
Fuente:
arXiv
Saved in:
| Main Authors: | Wilder, Joe, Kadapala, Nikhil, Xu, Benji, Alsaadi, Mohammed, Parsons, Aiden, Rogers, Mitchell, Agarwal, Palash, Hassick, Adam, Dietz, Laura |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ClaimIQ at CheckThat! 2025: Comparing Prompted and Fine-Tuned Language Models for Verifying Numerical Claims
by: Anik, Anirban Saha, et al.
Published: (2025)
by: Anik, Anirban Saha, et al.
Published: (2025)
AKCIT-FN at CheckThat! 2025: Switching Fine-Tuned SLMs and LLM Prompting for Multilingual Claim Normalization
by: Almada, Fabrycio Leite Nakano, et al.
Published: (2025)
by: Almada, Fabrycio Leite Nakano, et al.
Published: (2025)
The CLEF-2025 CheckThat! Lab: Subjectivity, Fact-Checking, Claim Normalization, and Retrieval
by: Alam, Firoj, et al.
Published: (2025)
by: Alam, Firoj, et al.
Published: (2025)
DS@GT at CheckThat! 2025: A Simple Retrieval-First, LLM-Backed Framework for Claim Normalization
by: Pramov, Aleksandar, et al.
Published: (2025)
by: Pramov, Aleksandar, et al.
Published: (2025)
IAI Group at CheckThat! 2024: Transformer Models and Data Augmentation for Checkworthy Claim Detection
by: Aarnes, Peter Røysland, et al.
Published: (2024)
by: Aarnes, Peter Røysland, et al.
Published: (2024)
DS@GT at CheckThat! 2025: Exploring Retrieval and Reranking Pipelines for Scientific Claim Source Retrieval on Social Media Discourse
by: Schofield, Jeanette, et al.
Published: (2025)
by: Schofield, Jeanette, et al.
Published: (2025)
AIRwaves at CheckThat! 2025: Retrieving Scientific Sources for Implicit Claims on Social Media with Dual Encoders and Neural Re-Ranking
by: Ashbaugh, Cem, et al.
Published: (2025)
by: Ashbaugh, Cem, et al.
Published: (2025)
The CLEF-2026 CheckThat! Lab: Advancing Multilingual Fact-Checking
by: Struß, Julia Maria, et al.
Published: (2026)
by: Struß, Julia Maria, et al.
Published: (2026)
CEA-LIST at CheckThat! 2025: Evaluating LLMs as Detectors of Bias and Opinion in Text
by: Elbouanani, Akram, et al.
Published: (2025)
by: Elbouanani, Akram, et al.
Published: (2025)
XplaiNLP at CheckThat! 2025: Multilingual Subjectivity Detection with Finetuned Transformers and Prompt-Based Inference with Large Language Models
by: Sahitaj, Ariana, et al.
Published: (2025)
by: Sahitaj, Ariana, et al.
Published: (2025)
Multimodal Claim Extraction for Fact-Checking
by: Teo, Joycelyn, et al.
Published: (2026)
by: Teo, Joycelyn, et al.
Published: (2026)
DS@GT at CheckThat! 2025: Evaluating Context and Tokenization Strategies for Numerical Fact Verification
by: Heil, Maximilian, et al.
Published: (2025)
by: Heil, Maximilian, et al.
Published: (2025)
DS@GT at CheckThat! 2025: Ensemble Methods for Detection of Scientific Discourse on Social Media
by: Parikh, Ayush, et al.
Published: (2025)
by: Parikh, Ayush, et al.
Published: (2025)
DS@GT at CheckThat! 2025: Detecting Subjectivity via Transfer-Learning and Corrective Data Augmentation
by: Heil, Maximilian, et al.
Published: (2025)
by: Heil, Maximilian, et al.
Published: (2025)
TurQUaz at CheckThat! 2025: Debating Large Language Models for Scientific Web Discourse Detection
by: Saraç, Tarık, et al.
Published: (2025)
by: Saraç, Tarık, et al.
Published: (2025)
AI Wizards at CheckThat! 2025: Enhancing Transformer-Based Embeddings with Sentiment for Subjectivity Detection in News Articles
by: Fasulo, Matteo, et al.
Published: (2025)
by: Fasulo, Matteo, et al.
Published: (2025)
Document-level Claim Extraction and Decontextualisation for Fact-Checking
by: Deng, Zhenyun, et al.
Published: (2024)
by: Deng, Zhenyun, et al.
Published: (2024)
Nullpointer at CheckThat! 2024: Identifying Subjectivity from Multilingual Text Sequence
by: Biswas, Md. Rafiul, et al.
Published: (2024)
by: Biswas, Md. Rafiul, et al.
Published: (2024)
QU-NLP at CheckThat! 2025: Multilingual Subjectivity in News Articles Detection using Feature-Augmented Transformer Models with Sequential Cross-Lingual Fine-Tuning
by: AL-Smadi, Mohammad
Published: (2025)
by: AL-Smadi, Mohammad
Published: (2025)
Claim Extraction for Fact-Checking: Data, Models, and Automated Metrics
by: Ullrich, Herbert, et al.
Published: (2025)
by: Ullrich, Herbert, et al.
Published: (2025)
HYBRINFOX at CheckThat! 2024 -- Task 1: Enhancing Language Models with Structured Information for Check-Worthiness Estimation
by: Faye, Géraud, et al.
Published: (2024)
by: Faye, Géraud, et al.
Published: (2024)
FactFinders at CheckThat! 2024: Refining Check-worthy Statement Detection with LLMs through Data Pruning
by: Li, Yufeng, et al.
Published: (2024)
by: Li, Yufeng, et al.
Published: (2024)
Multilingual and Multi-topical Benchmark of Fine-tuned Language models and Large Language Models for Check-Worthy Claim Detection
by: Hyben, Martin, et al.
Published: (2023)
by: Hyben, Martin, et al.
Published: (2023)
Deep Retrieval at CheckThat! 2025: Identifying Scientific Papers from Implicit Social Media Mentions via Hybrid Retrieval and Re-Ranking
by: Sager, Pascal J., et al.
Published: (2025)
by: Sager, Pascal J., et al.
Published: (2025)
OpenFact at CheckThat! 2024: Combining Multiple Attack Methods for Effective Adversarial Text Generation
by: Lewoniewski, Włodzimierz, et al.
Published: (2024)
by: Lewoniewski, Włodzimierz, et al.
Published: (2024)
LLM, Reporting In! Medical Information Extraction Across Prompting, Fine-tuning and Post-correction
by: Belmadani, Ikram, et al.
Published: (2025)
by: Belmadani, Ikram, et al.
Published: (2025)
HYBRINFOX at CheckThat! 2024 – Task 2: Enriching BERT Models with the Expert System VAGO for Subjectivity Detection
by: Casanova, Morgane, et al.
Published: (2024)
by: Casanova, Morgane, et al.
Published: (2024)
MeVer at CheckThat! 2026: Cluster-Aware Hard-Negative Mining for Multilingual Scientific-Source Retrieval
by: Bakagianni, Juli, et al.
Published: (2026)
by: Bakagianni, Juli, et al.
Published: (2026)
HYBRINFOX at CheckThat! 2024 -- Task 2: Enriching BERT Models with the Expert System VAGO for Subjectivity Detection
by: Casanova, Morgane, et al.
Published: (2024)
by: Casanova, Morgane, et al.
Published: (2024)
ClaimHack: A Benchmark Dataset of Check-worthy Factual Claims
by: Rayapet Madhusudhan, Akshay Kumar, et al.
Published: (2025)
by: Rayapet Madhusudhan, Akshay Kumar, et al.
Published: (2025)
SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval
by: Peng, Qiwei, et al.
Published: (2025)
by: Peng, Qiwei, et al.
Published: (2025)
ClaimCheck: Real-Time Fact-Checking with Small Language Models
by: Putta, Akshith Reddy, et al.
Published: (2025)
by: Putta, Akshith Reddy, et al.
Published: (2025)
Reasoning-CV: Fine-tuning Powerful Reasoning LLMs for Knowledge-Assisted Claim Verification
by: Zheng, Zhi, et al.
Published: (2025)
by: Zheng, Zhi, et al.
Published: (2025)
Claim2Vec: Embedding Fact-Check Claims for Multilingual Similarity and Clustering
by: Panchendrarajan, Rrubaa, et al.
Published: (2026)
by: Panchendrarajan, Rrubaa, et al.
Published: (2026)
Multilingual Previously Fact-Checked Claim Retrieval
by: Pikuliak, Matúš, et al.
Published: (2023)
by: Pikuliak, Matúš, et al.
Published: (2023)
UWBa at SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval
by: Lenc, Ladislav, et al.
Published: (2025)
by: Lenc, Ladislav, et al.
Published: (2025)
Reinforcement Retrieval Leveraging Fine-grained Feedback for Fact Checking News Claims with Black-Box LLM
by: Zhang, Xuan, et al.
Published: (2024)
by: Zhang, Xuan, et al.
Published: (2024)
Terminologies in limited social environment
by: Abdullah Abdulrahman Alsaadi
Published: (2020)
by: Abdullah Abdulrahman Alsaadi
Published: (2020)
MultiClaimNet: A Massively Multilingual Dataset of Fact-Checked Claim Clusters
by: Panchendrarajan, Rrubaa, et al.
Published: (2025)
by: Panchendrarajan, Rrubaa, et al.
Published: (2025)
Information Guided Regularization for Fine-tuning Language Models
by: Sharma, Mandar, et al.
Published: (2024)
by: Sharma, Mandar, et al.
Published: (2024)
Similar Items
-
ClaimIQ at CheckThat! 2025: Comparing Prompted and Fine-Tuned Language Models for Verifying Numerical Claims
by: Anik, Anirban Saha, et al.
Published: (2025) -
AKCIT-FN at CheckThat! 2025: Switching Fine-Tuned SLMs and LLM Prompting for Multilingual Claim Normalization
by: Almada, Fabrycio Leite Nakano, et al.
Published: (2025) -
The CLEF-2025 CheckThat! Lab: Subjectivity, Fact-Checking, Claim Normalization, and Retrieval
by: Alam, Firoj, et al.
Published: (2025) -
DS@GT at CheckThat! 2025: A Simple Retrieval-First, LLM-Backed Framework for Claim Normalization
by: Pramov, Aleksandar, et al.
Published: (2025) -
IAI Group at CheckThat! 2024: Transformer Models and Data Augmentation for Checkworthy Claim Detection
by: Aarnes, Peter Røysland, et al.
Published: (2024)