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Found 4 papers, 2 papers with code
Domain-Specific Improvement on Psychotherapy Chatbot Using Assistant
Large language models (LLMs) have demonstrated impressive generalization capabilities on specific tasks with human-written instruction data.
BOND: Bootstrapping From-Scratch Name Disambiguation with Multi-task Promoting
Therefore, we present BOND, which bootstraps the local and global informative signals to promote each other in an end-to-end regime.
OAG-Bench: A Human-Curated Benchmark for Academic Graph Mining
We envisage that OAG-Bench can serve as a common ground for the community to evaluate and compare algorithms in academic graph mining, thereby accelerating algorithm development and advancement in this field.
Web-Scale Academic Name Disambiguation: the WhoIsWho Benchmark, Leaderboard, and Toolkit
The toolkit is at https://github. com/THUDM/WhoIsWho.
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