Buchumschlag

TurQUaz at CheckThat! 2025: Debating Large Language Models for Scientific Web Discourse Detection

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Saraç, Tarık, Mergen, Selin, Kutlu, Mucahid
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Computation and Language Artificial Intelligence
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios
von: Demirok, Basak, et al.
Veröffentlicht: (2025)

ClaimIQ at CheckThat! 2025: Comparing Prompted and Fine-Tuned Language Models for Verifying Numerical Claims
von: Anik, Anirban Saha, et al.
Veröffentlicht: (2025)

DS@GT at CheckThat! 2025: Detecting Subjectivity via Transfer-Learning and Corrective Data Augmentation
von: Heil, Maximilian, et al.
Veröffentlicht: (2025)

HYBRINFOX at CheckThat! 2024 -- Task 1: Enhancing Language Models with Structured Information for Check-Worthiness Estimation
von: Faye, Géraud, et al.
Veröffentlicht: (2024)

CEA-LIST at CheckThat! 2025: Evaluating LLMs as Detectors of Bias and Opinion in Text
von: Elbouanani, Akram, et al.
Veröffentlicht: (2025)

DS@GT at CheckThat! 2025: Ensemble Methods for Detection of Scientific Discourse on Social Media
von: Parikh, Ayush, et al.
Veröffentlicht: (2025)

UNH at CheckThat! 2025: Fine-tuning Vs Prompting in Claim Extraction
von: Wilder, Joe, et al.
Veröffentlicht: (2025)

HYBRINFOX at CheckThat! 2024 -- Task 2: Enriching BERT Models with the Expert System VAGO for Subjectivity Detection
von: Casanova, Morgane, et al.
Veröffentlicht: (2024)

The CLEF-2025 CheckThat! Lab: Subjectivity, Fact-Checking, Claim Normalization, and Retrieval
von: Alam, Firoj, et al.
Veröffentlicht: (2025)

Measuring Political Stance and Consistency in Large Language Models
von: Alali, Salah Feras, et al.
Veröffentlicht: (2026)

Uncertainty-Aware Web-Conditioned Scientific Fact-Checking
von: Vinod, Ashwin, et al.
Veröffentlicht: (2026)

OpenFact at CheckThat! 2024: Combining Multiple Attack Methods for Effective Adversarial Text Generation
von: Lewoniewski, Włodzimierz, et al.
Veröffentlicht: (2024)

AIGCodeSet: A New Annotated Dataset for AI Generated Code Detection
von: Demirok, Basak, et al.
Veröffentlicht: (2024)

Detecting Turkish Synonyms Used in Different Time Periods
von: Yazar, Umur Togay, et al.
Veröffentlicht: (2024)

Debate-to-Detect: Reformulating Misinformation Detection as a Real-World Debate with Large Language Models
von: Han, Chen, et al.
Veröffentlicht: (2025)

DS@GT at CheckThat! 2025: Exploring Retrieval and Reranking Pipelines for Scientific Claim Source Retrieval on Social Media Discourse
von: Schofield, Jeanette, et al.
Veröffentlicht: (2025)

Tur[k]ingBench: A Challenge Benchmark for Web Agents
von: Xu, Kevin, et al.
Veröffentlicht: (2024)

Assisted Debate Builder with Large Language Models
von: Faugier, Elliot, et al.
Veröffentlicht: (2024)

Large Language Models and the Rationalist Empiricist Debate
von: King, David
Veröffentlicht: (2024)

An Empirical Analysis on Large Language Models in Debate Evaluation
von: Liu, Xinyi, et al.
Veröffentlicht: (2024)

Towards Explainable Harmful Meme Detection through Multimodal Debate between Large Language Models
von: Lin, Hongzhan, et al.
Veröffentlicht: (2024)

Detecting Religious Language in Climate Discourse
von: Beijen, Evy, et al.
Veröffentlicht: (2025)

Turkronicles: Diachronic Resources for the Fast Evolving Turkish Language
von: Yazar, Togay, et al.
Veröffentlicht: (2024)

Discourse Graph Guided Document Translation with Large Language Models
von: Pham, Viet-Thanh, et al.
Veröffentlicht: (2025)

XplaiNLP at CheckThat! 2025: Multilingual Subjectivity Detection with Finetuned Transformers and Prompt-Based Inference with Large Language Models
von: Sahitaj, Ariana, et al.
Veröffentlicht: (2025)

Ensemble Debates with Local Large Language Models for AI Alignment
von: Sarabamoun, Ephraiem
Veröffentlicht: (2025)

VibeCheck: Discover and Quantify Qualitative Differences in Large Language Models
von: Dunlap, Lisa, et al.
Veröffentlicht: (2024)

Multimodal Large Language Models to Support Real-World Fact-Checking
von: Geng, Jiahui, et al.
Veröffentlicht: (2024)

Learning to Check: Unleashing Potentials for Self-Correction in Large Language Models
von: Zhang, Che, et al.
Veröffentlicht: (2024)

Fact-Checking with Large Language Models via Probabilistic Certainty and Consistency
von: Wang, Haoran, et al.
Veröffentlicht: (2026)

ClaimCheck: Real-Time Fact-Checking with Small Language Models
von: Putta, Akshith Reddy, et al.
Veröffentlicht: (2025)

Tree-of-Debate: Multi-Persona Debate Trees Elicit Critical Thinking for Scientific Comparative Analysis
von: Kargupta, Priyanka, et al.
Veröffentlicht: (2025)

TrumorGPT: Graph-Based Retrieval-Augmented Large Language Model for Fact-Checking
von: Hang, Ching Nam, et al.
Veröffentlicht: (2025)

LEAF: Learning and Evaluation Augmented by Fact-Checking to Improve Factualness in Large Language Models
von: Tran, Hieu, et al.
Veröffentlicht: (2024)

An Evaluation on Large Language Model Outputs: Discourse and Memorization
von: de Wynter, Adrian, et al.
Veröffentlicht: (2023)

Experiments or Outcomes? Probing Scientific Feasibility in Large Language Models
von: Mohammadi, Seyedali, et al.
Veröffentlicht: (2026)

Building a Large Japanese Web Corpus for Large Language Models
von: Okazaki, Naoaki, et al.
Veröffentlicht: (2024)

Limits of Large Language Models in Debating Humans
von: Flamino, James, et al.
Veröffentlicht: (2024)

Scientific Computing with Large Language Models
von: Culver, Christopher, et al.
Veröffentlicht: (2024)

Evaluating the Performance of Large Language Models via Debates
von: Moniri, Behrad, et al.
Veröffentlicht: (2024)