Search Results for author:
Found 8 papers, 5 papers with code
Locating and Editing Factual Associations in Mamba
We investigate the mechanisms of factual recall in the Mamba state space model.
Function Vectors in Large Language Models
Using causal mediation analysis on a diverse range of in-context-learning (ICL) tasks, we find that a small number attention heads transport a compact representation of the demonstrated task, which we call a function vector (FV).
Linearity of Relation Decoding in Transformer Language Models
Linear relation representations may be obtained by constructing a first-order approximation to the LM from a single prompt, and they exist for a variety of factual, commonsense, and linguistic relations.
Mass-Editing Memory in a Transformer
Recent work has shown exciting promise in updating large language models with new memories, so as to replace obsolete information or add specialized knowledge.
BD-SHS: A Benchmark Dataset for Learning to Detect Online Bangla Hate Speech in Different Social Contexts
In this paper, we identify the shortcomings of existing Bangla HS datasets and introduce a large manually labeled dataset BD-SHS that includes HS in different social contexts.
HS-BAN: A Benchmark Dataset of Social Media Comments for Hate Speech Detection in Bangla
In this paper, we present HS-BAN, a binary class hate speech (HS) dataset in Bangla language consisting of more than 50, 000 labeled comments, including 40. 17% hate and rest are non hate speech.
Presenting a Larger Up-to-date Movie Dataset and Investigating the Effects of Pre-released Attributes on Gross Revenue
In this work, we introduce an up-to-date, richer, and larger dataset that we have prepared by scraping IMDb for researchers and data analysts to work with.
Automatic Detection of Satire in Bangla Documents: A CNN Approach Based on Hybrid Feature Extraction Model
Widespread of satirical news in online communities is an ongoing trend.
