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Physics-informed neural network solution of thermo-hydro-mechanical (THM) pro...
Physics-Informed Neural Networks (PINNs) have received increased interest for forward, inverse, and surrogate modeling of problems described by partial differential equations... -
A dataset of clinically generated visual questions and answers about radiolog...
A dataset of clinically generated visual questions and answers about radiology images. -
Med-HallMark
Med-HallMark is a benchmark for detecting and evaluating hallucinations in medical multimodal language models. -
Cross-topic Argument Mining from Heterogeneous Sources
Cross-topic Argument Mining from Heterogeneous Sources. -
Dogfood dataset
The dataset used in the paper is the Dogfood dataset, which contains a set of entities and their relationships. -
PAIR: Leveraging passage-centric similarity relation for improving dense pass...
This paper proposes a method for leveraging passage-centric similarity relation for improving dense passage retrieval. -
Pre-training tasks for embedding-based large-scale retrieval
This paper proposes a pre-training task for embedding-based large-scale retrieval. -
Generating Shortest Synchronizing Sequences using ASP
The problem of finding a shortest synchronizing sequence for a finite state automaton (FA) is formulated in Answer Set Programming (ASP). Four different ASP formulations are... -
AdvBench dataset
The dataset used for the experiments in the paper, consisting of 60 harmful instructions from the AdvBench dataset. -
Jeopardy Questions
The authors used the Jeopardy questions dataset for their experiments. -
Navigating the Grey Area: How Expressions of Uncertainty and Overconfidence A...
The authors used a variety of datasets for question answering, including TriviaQA, Natural Questions, CountryQA, and Jeopardy questions. -
Mistral-7B-Instruct-v0.2
The dataset used in the paper is a benchmark contamination detection dataset, which contains questions and answers from various benchmarks. -
A large annotated corpus for learning natural language inference
A large annotated corpus for learning natural language inference -
Learning to parse database queries using inductive logic programming
Learning to parse database queries using inductive logic programming.