… This second experiment builds upon the initial DORA … a more nuanced study on the extraction
of obligations from contracts, … LLM needs to extract for this entry from the stringified contract…

… efficiency and accuracy of contract review. Our initial experiments with the ContractNLI dataset
… The input documents for our tool were PDF documents, and we begin with extracting text …

… 2.3 Knowledge-enhanced LLM for information extraction The emergence of conversational
… This study proposes an REV prompting approach to extract procedural relation from …

… After learning the procedure of attacks, we aim to extract … results into prompts to reduce LLM’s
randomness. Specifically, we … We conduct an experiment, that uses the intermediate result …

… contracts (§4) and a dedicated prover for property verification(§6). • We conducted extensive
experiments and … In PropertyGPT’s scenario, we do not aim to extract “knowledge” from the …

… , a recent systematic evaluation study [15] shows that even when equipping the LLM-based …
the training format, and we need to extract labels from the output via keyword matching, …

… Additionally, a case study using ChatGPT-4 to locate vulnerable code in smart … vulnerability
types in smart contracts across six steps. (1) It starts by extracting contracts and their labels …

… (LLM) to support legal staff and reduce document management time. The aim of this research
is to study… Consequently, we decided to focus on extracting key points from the documents. …

… study introduces a Large Language Model (LLM)-based approach for automating the
identification of risks in construction contracts… construction contracts through information extraction …

… contractual clause by extracting its Contracts Grammar. Through an exploratory study, we first
identify the constituents of Contracts … Llama2 is an LLM developed by Meta AI, available in …