Research

Below you will find a list of all the research / articles that I have read and found interesting.

If you would like to contribute to this list, please open a PR.

Articles

Title	Summary
SCIENCEAGENTBENCH: TOWARD RIGOROUS ASSESSMENT OF LANGUAGE AGENTS FOR DATA-DRIVEN SCIENTIFIC DISCOVERY
Combining Language Models and Knowledge Graphs for Effective Information Retrieval
Transforming Asset Servicing With AI, Oracles, and Blockchains
CRISPR-GPT: An LLM Agent for Automated Design of Gene-Editing Experiments
Impact of Code Transformation on Detection of Smart Contract Vulnerabilities
Attention Is All You Need for LLM-based Code Vulnerability Localization
Leveraging Fine-Tuned Language Models for Efficient and Accurate Smart Contract Auditing
LLM-SmartAudit: Advanced Smart Contract Vulnerability Detection
CountChain: A Decentralized Oracle Network for Counting Systems
Semantic Interoperability on Blockchain by Generating Smart Contracts Based on Knowledge Graphs
Detect Llama - Finding Vulnerabilities in Smart Contracts using Large Language Models
Vulnerability Detection in Smart Contracts: A Comprehensive Survey
Gorilla: Large Language Model Connected withMassive APIs
MAD: Move AI Decompiler to Improve Transparency and Auditability on Non-Open-Source Blockchain Smart Contract
Financial Statement Analysis with Large Language Models
Artificial Intelligence, Scientific Discovery, and Product Innovation*
LONGMEMEVAL: BENCHMARKING CHAT ASSISTANTS ON LONG-TERM INTERACTIVE MEMORY
LIGHTWEIGHT NEURAL APP CONTROL
miniCTX: Neural Theorem Proving with (Long-)Contexts
The Moral Case for Using Language Model Agents for Recommendation