AlibabaResearch/DAMO-ConvAI

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1580 stars · 249 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

The official codebase for Alibaba DAMO Academy's Conversational AI research, containing implementations of models from their published papers on dialog systems and text-to-SQL. It includes models like SPACE, S2SQL, and R2SQL that have topped benchmarks such as Spider, SparC, CoSQL, and DSTC.

Use cases

• build a dialog state tracking model
• convert natural language questions to SQL queries
• reproduce research results on the Spider text-to-SQL benchmark
• experiment with conversational AI models from academic papers
• train a multi-turn dialog understanding model
• compare semantic parsing models for text-to-SQL

When to choose

• you need state-of-the-art text-to-SQL or dialog state tracking model implementations
• you want to reproduce or build on Alibaba DAMO's published conversational AI research
• you are benchmarking semantic parsing models on Spider, SparC, or CoSQL

When to avoid

• you need a production-ready chatbot framework with deployment tooling
• you want a plug-and-play conversational API rather than research code
• you need a maintained library with stable APIs and long-term support guarantees

Facets

library · maturity active

nlp machine-learning deep-learning chatbot artificial-intelligence chatbots deep-learning python conversational-ai dialog-state-tracking text-to-sql research-code alibaba papers natural-language-processing

Member repositories

For agents

markdown · JSON · MCP: product_card(name="AlibabaResearch/DAMO-ConvAI")