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Found 6 papers, 0 papers with code
Chart-based Reasoning: Transferring Capabilities from LLMs to VLMs
We propose a technique to transfer capabilities from LLMs to VLMs.
Ranked #1 on
Chart Question Answering
on ChartQA
(using extra training data)
Chart Question Answering
Optical Character Recognition (OCR)
Towards Better Evaluation of Instruction-Following: A Case-Study in Summarization
Despite recent advances, evaluating how well large language models (LLMs) follow user instructions remains an open problem.
RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback
Reinforcement learning from human feedback (RLHF) has proven effective in aligning large language models (LLMs) with human preferences.
Predicted Variables in Programming
We leverage the existing concept of variables and create a new type, a predicted variable.
Fast Multi-language LSTM-based Online Handwriting Recognition
We describe an online handwriting system that is able to support 102 languages using a deep neural network architecture.
SmartChoices: Hybridizing Programming and Machine Learning
As opposed to previous work applying ML to algorithmic problems, our proposed approach does not require to drop existing implementations but seamlessly integrates into the standard software development workflow and gives full control to the software developer over how ML methods are applied.
