46 datasets found

The dataset used in the paper is LLaMA, a large language model.

The dataset used in the paper is a grammaticality judgment task featuring four linguistic phenomena: anaphora, center embedding, comparatives, and negative polarity constructions.

Finetuned language models are zero-shot learners

A self-recognition test for language models using model-generated security questions.

The dataset used in the SafeDecoding paper, which contains 32 harmful queries spanning 16 harmful categories.

The dataset used in this paper for multilingual language models

Corpus pairs dataset for LABDet, a robust and language-agnostic bias probing method to quantify intrinsic bias in monolingual PLMs.

Minimal pairs dataset for LABDet, a robust and language-agnostic bias probing method to quantify intrinsic bias in monolingual PLMs.

Sentiment training dataset for LABDet, a robust and language-agnostic bias probing method to quantify intrinsic bias in monolingual PLMs.

The Language Models with Image Descriptors dataset, which is used for evaluating the performance of the InstructVid2Vid model.

The dataset used in the paper to simulate human behavior in various experiments, including the Ultimatum Game, Garden Path Sentences, Milgram Shock Experiment, and Wisdom of...

Human motion modeling is a critical component of animating virtual characters to imitate vivid and rich human movements, which has been a vital topic for many applications, such...

The HH-RLHF dataset is a human preference dataset for reinforcement learning from human feedback.

The ETHICS benchmark is a dataset for evaluating the ethics of language models.

MQUAKE is a knowledge editing benchmark that includes MQUAKE-CF-3K based on counterfactual edits, and MQUAKE-T with temporal knowledge updates.

DROP dataset contains complex compositional questions against natural language passages describing football games and historical events.

The dataset used in the paper is a code generation benchmark, consisting of 164 function declarations alongside their documentation, 500 test examples, each one is an...

The Comprehensive Assessment of Jailbreak Attacks against LLMs dataset is used to evaluate the effectiveness of jailbreak attacks on language models.

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

The MQUAKE-CF and MQUAKE-T datasets comprise multi-hop questions that are based on real-world facts, where the edited facts are counterfactual.