| import requests | |
| import sys | |
| import time | |
| sleep_time = 20 | |
| def query_api(url, session): | |
| global sleep_time | |
| time.sleep(sleep_time / 1000.0) | |
| r = session.get(url) | |
| while r.status_code == 429: |
| # NOTE: | |
| # You can find an updated, more robust and feature-rich implementation | |
| # in Zeno Build | |
| # - Zeno Build: https://github.com/zeno-ml/zeno-build/ | |
| # - Implementation: https://github.com/zeno-ml/zeno-build/blob/main/zeno_build/models/providers/openai_utils.py | |
| import openai | |
| import asyncio | |
| from typing import Any |
| OpenScholar is a retrieval-augmented language model that assists researchers in synthesizing scientific literature. The system uses a database of 45 million open-access papers to provide citation-backed responses to queries, accurately identifying relevant passages and generating reliable answers across multiple scientific domains. This approach addresses the growing challenge of keeping up with rapidly expanding scientific literature. | |
| The researchers developed ScholarQABench, a multi-domain benchmark for evaluating literature search capabilities, with 2,967 expert-written queries and 208 detailed answers across computer science, physics, neuroscience, and biomedicine. In testing, OpenScholar-8B outperformed GPT-4o by 5% and PaperQA2 by 7% in correctness metrics, despite being a smaller, open model. | |
| Citation accuracy stands as a key strength of OpenScholar. While GPT-4o shows concerning citation hallucination rates of 78-90%, OpenScholar matches human expert-level accuracy in citation verification. The syst |
| # Export your NAACL 2025 events into ics format | |
| # 1. Go to the NAACL schedule and download it as a csv: https://docs.google.com/spreadsheets/d/1SXIF0ovLudQ4UvR0nTyagDcgnn9zdulhUY578mvQpRk/edit?gid=1679189789#gid=1679189789 | |
| # 2. Change MY_NAME below and run the program | |
| # 3. Go to "Settings" in Google Calendar, click Import/Export, and import the file to your calendar | |
| MY_NAME = "Neubig" | |
| import csv | |
| import os | |
| from datetime import datetime |
This guide provides step-by-step instructions for running OpenHands on a Windows machine without using WSL or Docker.