416 datasets found

The GQA dataset is a visual question answering dataset that characterizes in compositional question answering and visual reasoning about real-world images.

The dataset is used for instruction-tuning of LLMs in multiple languages using reinforcement learning from human feedback.

The dataset is used for instruction-tuning of LLMs in multiple languages using reinforcement learning from human feedback.

The dataset is used for instruction-tuning of LLMs in multiple languages using reinforcement learning from human feedback.

MME: A comprehensive evaluation benchmark for multimodal large language models

Mmbench: Is your multi-modal model an all-around player?

A language model that demonstrates capabilities in processing and generating human-like text.

Mmicl: Empowering vision-language model with multi-modal in-context learning

Prompt Highlighter is a novel paradigm for user-model interactions in multi-modal LLMs, offering output control through a token-level highlighting mechanism.

Research Analysis Questions dataset

WebGPT dataset

Reddit ELI5 dataset

Stack Exchange dataset

Axiomatic Preference Modeling for Longform Question Answering

Propose a method for generating paraphrases of English questions that retain the original intent but use a different surface form.

Propose a method for generating paraphrases of English questions that retain the original intent but use a different surface form.

The MSVD-QA dataset is a benchmark for video question answering, containing 1,970 videos with multiple-choice questions.

The TGIF-QA dataset consists of 165165 QA pairs chosen from 71741 animated GIFs. To evaluate the spatiotemporal reasoning ability at the video level, TGIF-QA dataset designs...

The dataset used in the paper is a Chinese high school exam questions dataset, specifically retaining only the single choice questions.

The WIKIQA dataset is used for evaluation of the proposed QMWF-LM approach.