How do you train retrievers to find inspirations? [ACL 2025]
-
Updated
Aug 18, 2025
How do you train retrievers to find inspirations? [ACL 2025]
A verifiers RL environment that trains models to propose novel, evidence-grounded, falsifiable hypotheses. Rewards novelty with accountability.
A open source Literature Based Discovery system, using Groovy & Grails, including a re-implementation of the Arrowsmith algorithm(s)
IRIS Gate Protocol: Cross-architecture phenomenological convergence research (RFC v0.2)
By integrating geographical data analysis and statistical modeling, CTCA aims to inform strategies for reducing crash rates and enhancing road safety. This initiative combines innovative data processing techniques with advanced analytics to offer actionable recommendations for policymakers, urban planners, and public safety organizations.
Predict Loan Eligibility for a Finance company
Analysis of the operator's efficiency in a virtual communication company.
Official code for the paper: "Simple LLM Baselines are Competitive for Model Diffing"
AI-powered positioning, competitive research, and CRO skills for Claude Code. Autonomous web research, analytics audits, experiment planning, and landing page generation.
Machine Learning Algorithm to predict the House prices.
A Tree-of-Thoughts research agent for open-ended problems. Spawns multiple hypothesis branches, uses tools to stress-test them, and mechanically prunes weak ideas to explore only the most viable paths.
The project involved investigating a decline in sales pipeline conversion at TechnoServe, a tech SaaS startup, and developing hypotheses for the underlying causes. Through data analysis, potential solutions were identified to improve the conversion rate and address the issue.
Workflow to generate interactive feature selection report for cross-sectional or longitudinal studies
Case Studies & Problems based on Data Science Lifecycle Framework - Problem Formulation, Hypothesis Building, Data Extraction and Cleaning, Data Modeling and Post Modeling
A platform for Interactive AI-assisted Hypothesis Generation [ACL 2025]
AstroAgents: Multi-Agent AI for Hypothesis Generation from Mass Spectrometry Data
Locally hosted AI Agent Python Tool To Generate Novel Research Hypothesis + Titles + Abstracts
A Python library for creating and exploring structured review articles.
Systematically learn and evaluate the latent geometry of high-dimensional data, with a focus on scRNAseq analysis
Add a description, image, and links to the hypothesis-generation topic page so that developers can more easily learn about it.
To associate your repository with the hypothesis-generation topic, visit your repo's landing page and select "manage topics."