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Found 5 papers, 4 papers with code
Volcano: Mitigating Multimodal Hallucination through Self-Feedback Guided Revision
Building on this approach, we introduce Volcano, a multimodal self-feedback guided revision model.
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FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets
Evaluation of Large Language Models (LLMs) is challenging because instruction-following necessitates alignment with human values and the required set of skills varies depending on the instruction.
Zero-Shot Dense Video Captioning by Jointly Optimizing Text and Moment
This is accomplished by introducing a soft moment mask that represents a temporal segment in the video and jointly optimizing it with the prefix parameters of a language model.
Efficiently Enhancing Zero-Shot Performance of Instruction Following Model via Retrieval of Soft Prompt
Enhancing the zero-shot performance of instruction-following models requires heavy computation, either by scaling the total number of training datasets or the model size.
Prompt Injection: Parameterization of Fixed Inputs
Through these explorations, we show that PI can be a promising direction for conditioning language models, especially in scenarios with long and fixed prompts.
