1 citations · 2 across the 9 of their papers we have counts for
3 papers · 1 filter
Toolken+: Improving LLM Tool Usage with Reranking and a Reject Option
Konstantin Yakovlev, Sergey Nikolenko, Andrey Bout
The recently proposed ToolkenGPT tool learning paradigm demonstrates promising performance but suffers from two major issues: first, it cannot benefit from tool documentation, and…
Robust AI-Generated Text Detection by Restricted Embeddings
Kristian Kuznetsov, Eduard Tulchinskii, Laida Kushnareva +4
Growing amount and quality of AI-generated texts makes detecting such content more difficult. In most real-world scenarios, the domain (style and topic) of generated data and the g…
Efficient Grammatical Error Correction Via Multi-Task Training and Optimized Training Schedule
Andrey Bout, Alexander Podolskiy, Sergey Nikolenko +1
Progress in neural grammatical error correction (GEC) is hindered by the lack of annotated training data. Sufficient amounts of high-quality manually annotated data are not availab…