:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Pittiglio, Alessio
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	https://arxiv.org/abs/2507.15641
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Addressing the Ecological Fallacy in Larger LMs with Human Context
by: Soni, Nikita, et al.
Published: (2026)

MAFALDA: A Benchmark and Comprehensive Study of Fallacy Detection and Classification
by: Helwe, Chadi, et al.
Published: (2023)

Reason from Fallacy: Enhancing Large Language Models' Logical Reasoning through Logical Fallacy Understanding
by: Li, Yanda, et al.
Published: (2024)

MisSynth: Improving MISSCI Logical Fallacies Classification with Synthetic Data
by: Poliakov, Mykhailo, et al.
Published: (2025)

LLMs Are Prone to Fallacies in Causal Inference
by: Joshi, Nitish, et al.
Published: (2024)

When to Trust Context: Self-Reflective Debates for Context Reliability
by: Zhou, Zeqi, et al.
Published: (2025)

The LLM Fallacy: Misattribution in AI-Assisted Cognitive Workflows
by: Kim, Hyunwoo, et al.
Published: (2026)

Debating for Better Reasoning: An Unsupervised Multimodal Approach
by: Adhikari, Ashutosh, et al.
Published: (2025)

On the Fallacy of Global Token Perplexity in Spoken Language Model Evaluation
by: Hsu, Chan-Jan, et al.
Published: (2026)

Theory-Grounded Evaluation of Human-Like Fallacy Patterns in LLM Reasoning
by: Richardson, Andrew Keenan, et al.
Published: (2025)

A Logical Fallacy-Informed Framework for Argument Generation
by: Mouchel, Luca, et al.
Published: (2024)

Political Leaning and Politicalness Classification of Texts
by: Volf, Matous, et al.
Published: (2025)

Large Language Models Are Involuntary Truth-Tellers: Exploiting Fallacy Failure for Jailbreak Attacks
by: Zhou, Yue, et al.
Published: (2024)

Leveraging In-Context Learning for Language Model Agents
by: Gupta, Shivanshu, et al.
Published: (2025)

Leveraging Codebook Knowledge with NLI and ChatGPT for Zero-Shot Political Relation Classification
by: Hu, Yibo, et al.
Published: (2023)

VisionGraph: Leveraging Large Multimodal Models for Graph Theory Problems in Visual Context
by: Li, Yunxin, et al.
Published: (2024)

Multimodal Contrastive In-Context Learning
by: Miyanishi, Yosuke, et al.
Published: (2024)

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

When Audio-Language Models Fail to Leverage Multimodal Context for Dysarthric Speech Recognition
by: Moure, Pehuén, et al.
Published: (2026)

R-Debater: Retrieval-Augmented Debate Generation through Argumentative Memory
by: Li, Maoyuan, et al.
Published: (2025)

GroupDebate: Enhancing the Efficiency of Multi-Agent Debate Using Group Discussion
by: Liu, Tongxuan, et al.
Published: (2024)

Can We Count on LLMs? The Fixed-Effect Fallacy and Claims of GPT-4 Capabilities
by: Ball, Thomas, et al.
Published: (2024)

Bridging Context Gaps: Leveraging Coreference Resolution for Long Contextual Understanding
by: Liu, Yanming, et al.
Published: (2024)

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

In-Context Learning for Extreme Multi-Label Classification
by: D'Oosterlinck, Karel, et al.
Published: (2024)

Analyzing Political Bias in LLMs via Target-Oriented Sentiment Classification
by: Elbouanani, Akram, et al.
Published: (2025)

Selecting Between BERT and GPT for Text Classification in Political Science Research
by: Wang, Yu, et al.
Published: (2024)

Predicting Sentence Acceptability Judgments in Multimodal Contexts
by: Jang, Hyewon, et al.
Published: (2026)

To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question Answering
by: Frisoni, Giacomo, et al.
Published: (2024)

Q-Filters: Leveraging QK Geometry for Efficient KV Cache Compression
by: Godey, Nathan, et al.
Published: (2025)

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

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

CA-BERT: Leveraging Context Awareness for Enhanced Multi-Turn Chat Interaction
by: Liu, Minghao, et al.
Published: (2024)

Examining the Influence of Political Bias on Large Language Model Performance in Stance Classification
by: Ng, Lynnette Hui Xian, et al.
Published: (2024)

Language Models for Text Classification: Is In-Context Learning Enough?
by: Edwards, Aleksandra, et al.
Published: (2024)

Debate Helps Weak-to-Strong Generalization
by: Lang, Hao, et al.
Published: (2025)

Systematic Biases in LLM Simulations of Debates
by: Taubenfeld, Amir, et al.
Published: (2024)

YouTube Comments Decoded: Leveraging LLMs for Low Resource Language Classification
by: Deroy, Aniket, et al.
Published: (2024)

Unveiling LLMs' Metaphorical Understanding: Exploring Conceptual Irrelevance, Context Leveraging and Syntactic Influence
by: Ye, Fengying, et al.
Published: (2025)

Measuring Algorithmic Partisanship via Zero-Shot Classification and Its Implications on Political Discourse
by: Chen, Nathan Junzi
Published: (2025)