6 papers
Revisiting Word Embeddings in the LLM Era
Yash Mahajan, Matthew Freestone, Sathyanarayanan Aakur +1
Large Language Models (LLMs) have recently shown remarkable advancement in various NLP tasks. As such, a popular trend has emerged lately where NLP researchers extract word/sentenc…
Revisiting Word Embeddings in the LLM Era
Yash Mahajan, Matthew Freestone, Naman Bansal +2
Large Language Models (LLMs) have recently shown remarkable advancement in various NLP tasks. As such, a popular trend has emerged lately where NLP researchers extract word/sentenc…
LLMs as Meta-Reviewers' Assistants: A Case Study
Eftekhar Hossain, Sanjeev Kumar Sinha, Naman Bansal +11
One of the most important yet onerous tasks in the academic peer-reviewing process is composing meta-reviews, which involves assimilating diverse opinions from multiple expert peer…
Redundancy Aware Multi-Reference Based Gainwise Evaluation of Extractive Summarization
Mousumi Akter, Santu Karmaker
The ROUGE metric is commonly used to evaluate extractive summarization task, but it has been criticized for its lack of semantic awareness and its ignorance about the ranking quali…
Processing Natural Language on Embedded Devices: How Well Do Transformer Models Perform?
Souvika Sarkar, Mohammad Fakhruddin Babar, Md Mahadi Hassan +2
This paper presents a performance study of transformer language models under different hardware configurations and accuracy requirements and derives empirical observations about th…
FaNS: a Facet-based Narrative Similarity Metric
Mousumi Akter, Shubhra Kanti Karmaker Santu
Similar Narrative Retrieval is a crucial task since narratives are essential for explaining and understanding events, and multiple related narratives often help to create a holisti…