4 citations · 4 across the 7 of their papers we have counts for
7 papers
Agent Ideate: A Framework for Product Idea Generation from Patents Using Agentic AI
Gopichand Kanumolu, Ashok Urlana, Charaka Vinayak Kumar +1
Patents contain rich technical knowledge that can inspire innovative product ideas, yet accessing and interpreting this information remains a challenge. This work explores the use…
No LLM is Free From Bias: A Comprehensive Study of Bias Evaluation in Large Language Models
Charaka Vinayak Kumar, Ashok Urlana, Gopichand Kanumolu +2
Advancements in Large Language Models (LLMs) have increased the performance of different natural language understanding as well as generation tasks. Although LLMs have breached the…
HalluCounter: Reference-free LLM Hallucination Detection in the Wild!
Ashok Urlana, Gopichand Kanumolu, Charaka Vinayak Kumar +2
Response consistency-based, reference-free hallucination detection (RFHD) methods do not depend on internal model states, such as generation probabilities or gradients, which Grey-…
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…
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…
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.…