◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Lokesh Madasu

4 papers hereh-index 354 citations4 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL4

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.CL2024

TeClass: A Human-Annotated Relevance-based Headline Classification and Generation Dataset for Telugu

Gopichand Kanumolu, Lokesh Madasu, Nirmal Surange +1

News headline generation is a crucial task in increasing productivity for both the readers and producers of news. This task can easily be aided by automated News headline-generatio…

cs.CL2024

SemRel2024: A Collection of Semantic Textual Relatedness Datasets for 13 Languages

Nedjma Ousidhoum, Shamsuddeen Hassan Muhammad, Mohamed Abdalla +24

Exploring and quantifying semantic relatedness is central to representing language and holds significant implications across various NLP tasks. While earlier NLP research primarily…

cs.CL2023

Unsupervised Approach to Evaluate Sentence-Level Fluency: Do We Really Need Reference?

Gopichand Kanumolu, Lokesh Madasu, Pavan Baswani +2

Fluency is a crucial goal of all Natural Language Generation (NLG) systems. Widely used automatic evaluation metrics fall short in capturing the fluency of machine-generated text.…

cs.CL2023

Mukhyansh: A Headline Generation Dataset for Indic Languages

Lokesh Madasu, Gopichand Kanumolu, Nirmal Surange +1

The task of headline generation within the realm of Natural Language Processing (NLP) holds immense significance, as it strives to distill the true essence of textual content into…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.