15 citations · 26 across the 10 of their papers we have counts for
10 papers
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…
SemEval-2024 Task 1: Semantic Textual Relatedness for African and Asian Languages
Nedjma Ousidhoum, Shamsuddeen Hassan Muhammad, Mohamed Abdalla +14
We present the first shared task on Semantic Textual Relatedness (STR). While earlier shared tasks primarily focused on semantic similarity, we instead investigate the broader phen…
LastResort at SemEval-2024 Task 3: Exploring Multimodal Emotion Cause Pair Extraction as Sequence Labelling Task
Suyash Vardhan Mathur, Akshett Rai Jindal, Hardik Mittal +1
Conversation is the most natural form of human communication, where each utterance can range over a variety of possible emotions. While significant work has been done towards the d…
A Survey of using Large Language Models for Generating Infrastructure as Code
Kalahasti Ganesh Srivatsa, Sabyasachi Mukhopadhyay, Ganesh Katrapati +1
Infrastructure as Code (IaC) is a revolutionary approach which has gained significant prominence in the Industry. IaC manages and provisions IT infrastructure using machine-readabl…
Zero-Shot Multi-task Hallucination Detection
Patanjali Bhamidipati, Advaith Malladi, Manish Shrivastava +1
In recent studies, the extensive utilization of large language models has underscored the importance of robust evaluation methodologies for assessing text generation quality and re…
Can LLMs Compute with Reasons?
Harshit Sandilya, Peehu Raj, Jainit Sushil Bafna +7
Large language models (LLMs) often struggle with complex mathematical tasks, prone to "hallucinating" incorrect answers due to their reliance on statistical patterns. This limitati…