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Showing 276–300 of 1282 papers

TitleStatusHype
Language Models as Causal Effect GeneratorsCode1
Persuasion with Large Language Models: a Survey—0
Exploring social bots: A feature-based approach to improve bot detection in social networks—0
Characteristics of Political Misinformation Over the Past Decade—0
Target-driven Attack for Large Language Models—0
Fact or Fiction? Can LLMs be Reliable Annotators for Political Truths?—0
A Guide to Misinformation Detection Data and Evaluation—0
Harmful YouTube Video Detection: A Taxonomy of Online Harm and MLLMs as Alternative Annotators—0
TIP-I2V: A Million-Scale Real Text and Image Prompt Dataset for Image-to-Video Generation—0
Revisiting Game-Theoretic Control in Socio-Technical Networks: Emerging Design Frameworks and Contemporary Applications—0
AMREx: AMR for Explainable Fact Verification—0
A graph-based approach to extracting narrative signals from public discourseCode0
E2E-AFG: An End-to-End Model with Adaptive Filtering for Retrieval-Augmented Generation—0
Exploring the Knowledge Mismatch Hypothesis: Hallucination Propensity in Small Models Fine-tuned on Data from Larger Models—0
Retrieval-Augmented Generation with Estimation of Source Reliability—0
Online Detecting LLM-Generated Texts via Sequential Hypothesis Testing by BettingCode0
Systematically Analyzing Prompt Injection Vulnerabilities in Diverse LLM Architectures—0
Can Users Detect Biases or Factual Errors in Generated Responses in Conversational Information-Seeking?Code0
SubjECTive-QA: Measuring Subjectivity in Earnings Call Transcripts' QA Through Six-Dimensional Feature AnalysisCode0
Shallow Diffuse: Robust and Invisible Watermarking through Low-Dimensional Subspaces in Diffusion ModelsCode1
Attacking Misinformation Detection Using Adversarial Examples Generated by Language Models—0
LLM Robustness Against Misinformation in Biomedical Question AnsweringCode0
Malinowski in the Age of AI: Can large language models create a text game based on an anthropological classic?—0
LLM-Consensus: Multi-Agent Debate for Visual Misinformation Detection—0
A Systematic Review of Machine Learning Approaches for Detecting Deceptive Activities on Social Media: Methods, Challenges, and Biases—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TOKOFOUAverage F189.7—Unverified