5 papers
CaseFacts: A Benchmark for Legal Fact-Checking and Precedent Retrieval
Akshith Reddy Putta, Jacob Devasier, Chengkai Li
Automated Fact-Checking has largely focused on verifying general knowledge against static corpora, overlooking high-stakes domains like law where truth is evolving and technically…
Frame-Guided Synthetic Claim Generation for Automatic Fact-Checking Using High-Volume Tabular Data
Jacob Devasier, Akshith Putta, Qing Wang +2
Automated fact-checking benchmarks have largely ignored the challenge of verifying claims against real-world, high-volume structured data, instead focusing on small, curated tables…
ClaimCheck: Real-Time Fact-Checking with Small Language Models
Akshith Reddy Putta, Jacob Devasier, Chengkai Li
We introduce ClaimCheck, an LLM-guided automatic fact-checking system designed to verify real-world claims using live Web evidence and small language models. Unlike prior systems t…
Task-Oriented Automatic Fact-Checking with Frame-Semantics
Jacob Devasier, Rishabh Mediratta, Akshith Putta +1
We propose a novel paradigm for automatic fact-checking that leverages frame semantics to enhance the structured understanding of claims and guide the process of fact-checking them…
Can LLMs Extract Frame-Semantic Arguments?
Jacob Devasier, Rishabh Mediratta, Chengkai Li
Frame-semantic parsing is a critical task in natural language understanding, yet the ability of large language models (LLMs) to extract frame-semantic arguments remains underexplor…