Cover Image

Grounding Fallacies Misrepresenting Scientific Publications in Evidence

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Glockner, Max, Hou, Yufang, Nakov, Preslav, Gurevych, Iryna
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Missci: Reconstructing Fallacies in Misrepresented Science
by: Glockner, Max, et al.
Published: (2024)

ConspirED: A Dataset for Cognitive Traits of Conspiracy Theories and Large Language Model Safety
by: Bates, Luke, et al.
Published: (2025)

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

Beyond "Not Novel Enough": Enriching Scholarly Critique with LLM-Assisted Feedback
by: Afzal, Osama Mohammed, et al.
Published: (2025)

A Template Is All You Meme
by: Bates, Luke, et al.
Published: (2023)

ClaimFlow: Tracing the Evolution of Scientific Claims in NLP
by: Pramanick, Aniket, et al.
Published: (2026)

Self-Rationalization in the Wild: A Large Scale Out-of-Distribution Evaluation on NLI-related tasks
by: Yang, Jing, et al.
Published: (2025)

Dive into the Chasm: Probing the Gap between In- and Cross-Topic Generalization
by: Waldis, Andreas, et al.
Published: (2024)

How to Handle Different Types of Out-of-Distribution Scenarios in Computational Argumentation? A Comprehensive and Fine-Grained Field Study
by: Waldis, Andreas, et al.
Published: (2023)

Co-FactChecker: A Framework for Human-AI Collaborative Claim Verification Using Large Reasoning Models
by: Sahnan, Dhruv, et al.
Published: (2026)

Con Instruction: Universal Jailbreaking of Multimodal Large Language Models via Non-Textual Modalities
by: Geng, Jiahui, et al.
Published: (2025)

NeoQA: Evidence-based Question Answering with Generated News Events
by: Glockner, Max, et al.
Published: (2025)

Large Language Models are Few-Shot Training Example Generators: A Case Study in Fallacy Recognition
by: Alhindi, Tariq, et al.
Published: (2023)

Systematic Task Exploration with LLMs: A Study in Citation Text Generation
by: Şahinuç, Furkan, et al.
Published: (2024)

Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific Leaderboards
by: Şahinuç, Furkan, et al.
Published: (2024)

A Survey of Confidence Estimation and Calibration in Large Language Models
by: Geng, Jiahui, et al.
Published: (2023)

The Nature of NLP: Analyzing Contributions in NLP Papers
by: Pramanick, Aniket, et al.
Published: (2024)

Transforming Scholarly Landscapes: Influence of Large Language Models on Academic Fields beyond Computer Science
by: Pramanick, Aniket, et al.
Published: (2024)

Holmes: A Benchmark to Assess the Linguistic Competence of Language Models
by: Waldis, Andreas, et al.
Published: (2024)

SciCoQA: Quality Assurance for Scientific Paper--Code Alignment
by: Baumgärtner, Tim, et al.
Published: (2026)

Reward Modeling for Scientific Writing Evaluation
by: Şahinuç, Furkan, et al.
Published: (2026)

$\texttt{Droid}$: A Resource Suite for AI-Generated Code Detection
by: Orel, Daniil, et al.
Published: (2025)

OpenFactCheck: A Unified Framework for Factuality Evaluation of LLMs
by: Iqbal, Hasan, et al.
Published: (2024)

Are Large Language Models Good Classifiers? A Study on Edit Intent Classification in Scientific Document Revisions
by: Ruan, Qian, et al.
Published: (2024)

PeerQA: A Scientific Question Answering Dataset from Peer Reviews
by: Baumgärtner, Tim, et al.
Published: (2025)

FIRE: Fact-checking with Iterative Retrieval and Verification
by: Xie, Zhuohan, et al.
Published: (2024)

Automatic Reviewers Fail to Detect Faulty Reasoning in Research Papers: A New Counterfactual Evaluation Framework
by: Dycke, Nils, et al.
Published: (2025)

Like a Good Nearest Neighbor: Practical Content Moderation and Text Classification
by: Bates, Luke, et al.
Published: (2023)

Citation Failure: Definition, Analysis and Efficient Mitigation
by: Buchmann, Jan, et al.
Published: (2025)

Learning from Implicit User Feedback, Emotions and Demographic Information in Task-Oriented and Document-Grounded Dialogues
by: Petrak, Dominic, et al.
Published: (2024)

A Multi-View Media Profiling Suite: Resources, Evaluation, and Analysis
by: Manzoor, Muhammad Arslan, et al.
Published: (2026)

DUAL-Bench: Measuring Over-Refusal and Robustness in Vision-Language Models
by: Ren, Kaixuan, et al.
Published: (2025)

Rethinking STS and NLI in Large Language Models
by: Wang, Yuxia, et al.
Published: (2023)

CoDet-M4: Detecting Machine-Generated Code in Multi-Lingual, Multi-Generator and Multi-Domain Settings
by: Orel, Daniil, et al.
Published: (2025)

Can LLMs Automate Fact-Checking Article Writing?
by: Sahnan, Dhruv, et al.
Published: (2025)

A Course Shared Task on Evaluating LLM Output for Clinical Questions
by: Hou, Yufang, et al.
Published: (2024)

From Chaos to Clarity: Claim Normalization to Empower Fact-Checking
by: Sundriyal, Megha, et al.
Published: (2023)

Adapting Fake News Detection to the Era of Large Language Models
by: Su, Jinyan, et al.
Published: (2023)

UnsafeChain: Enhancing Reasoning Model Safety via Hard Cases
by: Tomar, Raj Vardhan, et al.
Published: (2025)

How Does Prefix Matter in Reasoning Model Tuning?
by: Tomar, Raj Vardhan, et al.
Published: (2026)