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Found 4 papers, 1 papers with code
MULTI: Multimodal Understanding Leaderboard with Text and Images
Rapid progress in multimodal large language models (MLLMs) highlights the need to introduce challenging yet realistic benchmarks to the academic community, while existing benchmarks primarily focus on understanding simple natural images and short context.
ChemDFM: Dialogue Foundation Model for Chemistry
To this end, we develop ChemDFM, the first LLM towards CGI.
SciEval: A Multi-Level Large Language Model Evaluation Benchmark for Scientific Research
This design suffers from data leakage problem and lacks the evaluation of subjective Q/A ability.
META-GUI: Towards Multi-modal Conversational Agents on Mobile GUI
However, this API-based architecture greatly limits the information-searching capability of intelligent assistants and may even lead to task failure if TOD-specific APIs are not available or the task is too complicated to be executed by the provided APIs.
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