Alternatives and similar repositories for Scientific-Inspiration-Machines-Optimized-for-Novelty

Users that are interested in Scientific-Inspiration-Machines-Optimized-for-Novelty are comparing it to the libraries listed below

• ZonglinY / MOOSE
  [ACL 2024] <Large Language Models for Automated Open-domain Scientific Hypotheses Discovery>. It has also received the best poster award …
  ☆42Updated last year
• allenai / marg-reviewer
  Code/data for MARG (multi-agent review generation)
  ☆58Updated last month
• AkariAsai / ScholarQABench
  This repository contains ScholarQABench data and evaluation pipeline.
  ☆85Updated 3 months ago
• allenai / SciRIFF
  Dataset and evaluation suite enabling LLM instruction-following for scientific literature understanding.
  ☆44Updated 8 months ago
• abhika-m / FAVA
  ☆74Updated last year
• XZhang97666 / AlpaCare
  ☆94Updated 9 months ago
• allenai / discoverybench
  Discovering Data-driven Hypotheses in the Wild
  ☆117Updated 5 months ago
• princeton-nlp / LitSearch
  [EMNLP 2024] A Retrieval Benchmark for Scientific Literature Search
  ☆101Updated 11 months ago
• ChicagoHAI / hypothesis-generation
  This is the official repository for HypoGeniC (Hypothesis Generation in Context) and HypoRefine, which are automated, data-driven tools t…
  ☆91Updated this week
• OSU-NLP-Group / ScienceAgentBench
  [ICLR'25] ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery
  ☆107Updated 2 months ago
• veronica320 / Faithful-COT
  Code and data accompanying our paper on arXiv "Faithful Chain-of-Thought Reasoning".
  ☆163Updated last year
• chaitanyamalaviya / ExpertQA
  [Data + code] ExpertQA : Expert-Curated Questions and Attributed Answers
  ☆135Updated last year
• McGill-NLP / instruct-qa
  Code and Data for "Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering"
  ☆86Updated last year
• Andy-jqa / biomedical-qa-datasets
  Biomedical Question Answering Datasets.
  ☆117Updated 6 months ago
• Xianjun-Yang / DNA-GPT
  Offiical codes for DNA-GPT (ICLR 2024)
  ☆54Updated last year
• xxxiaol / QRData
  Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data
  ☆43Updated 9 months ago
• Edward-Sun / RECITE
  Code of ICLR paper: https://openreview.net/forum?id=-cqvvvb-NkI
  ☆95Updated 2 years ago
• oriyor / reasoning-on-cots
  Implementation of the paper: "Answering Questions by Meta-Reasoning over Multiple Chains of Thought"
  ☆96Updated last year
• SALT-NLP / demonstrated-feedback
  ☆129Updated last year
• Anni-Zou / Meta-CoT
  Meta-CoT: Generalizable Chain-of-Thought Prompting in Mixed-task Scenarios with Large Language Models
  ☆99Updated 2 years ago
• mandyyyyii / scibench
  ☆129Updated last year
• yueyu1030 / AttrPrompt
  [NeurIPS 2023] This is the code for the paper `Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias`.
  ☆155Updated 2 years ago
• swarnaHub / ExplanationIntervention
  [NeurIPS 2023] PyTorch code for Can Language Models Teach? Teacher Explanations Improve Student Performance via Theory of Mind
  ☆66Updated last year
• ytyz1307zzh / RefAug
  Code for EMNLP 2024 paper "Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning"
  ☆56Updated last year
• causalNLP / corr2cause
  Data and code for the Corr2Cause paper (ICLR 2024)
  ☆111Updated last year
• OSU-NLP-Group / llm-planning-eval
  [ACL'24] Code and data of paper "When is Tree Search Useful for LLM Planning? It Depends on the Discriminator"
  ☆54Updated last year
• OSU-NLP-Group / AttrScore
  Code, datasets, models for the paper "Automatic Evaluation of Attribution by Large Language Models"
  ☆56Updated 2 years ago
• OSU-NLP-Group / Middleware
  Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments (EMNLP'2024)
  ☆37Updated 10 months ago
• QingruZhang / PASTA
  PASTA: Post-hoc Attention Steering for LLMs
  ☆127Updated 11 months ago
• ruiqi-zhong / D5
  The GitHub repo for Goal Driven Discovery of Distributional Differences via Language Descriptions
  ☆71Updated 2 years ago