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Fact Checking
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
DS@GT at CheckThat! 2025: Evaluating Context and Tokenization Strategies for Numerical Fact Verification
Recon, Answer, Verify: Agents in Search of Truth
The Next Phase of Scientific Fact-Checking: Advanced Evidence Retrieval from Complex Structured Academic Papers
Decide less, communicate more: On the construct validity of end-to-end fact-checking in medicine
Veracity: An Open-Source AI Fact-Checking System
SPOT: Bridging Natural Language and Geospatial Search for Investigative Journalists
Verifying the Verifiers: Unveiling Pitfalls and Potentials in Fact Verifiers
RealFactBench: A Benchmark for Evaluating Large Language Models in Real-World Fact-Checking
ClimateViz: A Benchmark for Statistical Reasoning and Fact Verification on Scientific Charts
In Crowd Veritas: Leveraging Human Intelligence To Fight Misinformation
SUCEA: Reasoning-Intensive Retrieval for Adversarial Fact-checking through Claim Decomposition and Editing
The Oversmoothing Fallacy: A Misguided Narrative in GNN Research
Search Arena: Analyzing Search-Augmented LLMs
Combating Misinformation in the Arab World: Challenges & Opportunities
Facts are Harder Than Opinions -- A Multilingual, Comparative Analysis of LLM-Based Fact-Checking Reliability
Improving Reliability and Explainability of Medical Question Answering through Atomic Fact Checking in Retrieval-Augmented LLMs
Verify-in-the-Graph: Entity Disambiguation Enhancement for Complex Claim Verification with Interactive Graph Representation
A Structured Unplugged Approach for Foundational AI Literacy in Primary Education
Community Moderation and the New Epistemology of Fact Checking on Social Media
Debate-to-Detect: Reformulating Misinformation Detection as a Real-World Debate with Large Language Models
Social Good or Scientific Curiosity? Uncovering the Research Framing Behind NLP Artefacts
From Generation to Detection: A Multimodal Multi-Task Dataset for Benchmarking Health Misinformation
Teaching with Lies: Curriculum DPO on Synthetic Negatives for Hallucination Detection
Resolving Conflicting Evidence in Automated Fact-Checking: A Study on Retrieval-Augmented LLMs
CUB: Benchmarking Context Utilisation Techniques for Language Models
EMULATE: A Multi-Agent Framework for Determining the Veracity of Atomic Claims by Emulating Human Actions
Improving the fact-checking performance of language models by relying on their entailment ability
UrduFactCheck: An Agentic Fact-Checking Framework for Urdu with Evidence Boosting and Benchmarking
MultiHal: Multilingual Dataset for Knowledge-Graph Grounded Evaluation of LLM Hallucinations
Learning Auxiliary Tasks Improves Reference-Free Hallucination Detection in Open-Domain Long-Form Generation
When AI Co-Scientists Fail: SPOT-a Benchmark for Automated Verification of Scientific Research
Automated Identification of Logical Errors in Programs: Advancing Scalable Analysis of Student Misconceptions
SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval
FACTors: A New Dataset for Studying the Fact-checking Ecosystem
Communication Styles and Reader Preferences of LLM and Human Experts in Explaining Health Information
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