10 citations · 33 across the 39 of their papers we have counts for
5 papers · 1 filter
FarExStance: Explainable Stance Detection for Farsi
Majid Zarharan, Maryam Hashemi, Malika Behroozrazegh +3
We introduce FarExStance, a new dataset for explainable stance detection in Farsi. Each instance in this dataset contains a claim, the stance of an article or social media post tow…
NormXLogit: The Head-on-Top Never Lies
Sina Abbasi, Mohammad Reza Modarres, Mohammad Taher Pilehvar
With new large language models (LLMs) emerging frequently, it is important to consider the potential value of model-agnostic approaches that can provide interpretability across a v…
RepMatch: Quantifying Cross-Instance Similarities in Representation Space
Mohammad Reza Modarres, Sina Abbasi, Mohammad Taher Pilehvar
Advances in dataset analysis techniques have enabled more sophisticated approaches to analyzing and characterizing training data instances, often categorizing data based on attribu…
BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages
Junho Myung, Nayeon Lee, Yi Zhou +19
Large language models (LLMs) often lack culture-specific knowledge of daily life, especially across diverse regions and non-English languages. Existing benchmarks for evaluating LL…
Tell Me Why: Explainable Public Health Fact-Checking with Large Language Models
Majid Zarharan, Pascal Wullschleger, Babak Behkam Kia +2
This paper presents a comprehensive analysis of explainable fact-checking through a series of experiments, focusing on the ability of large language models to verify public health…