Context-Enhanced Language Models for Generating Multi-Paper Citations

no code implementations • 22 Apr 2024 • Avinash Anand, Kritarth Prasad, Ujjwal Goel, Mohit Gupta, Naman Lal, Astha Verma, Rajiv Ratn Shah

This research underscores the potential of harnessing LLMs for citation generation, opening a compelling avenue for exploring the intricate connections between scientific documents.

Knowledge Graphs Sentence +1

Mathify: Evaluating Large Language Models on Mathematical Problem Solving Tasks

1 code implementation • 19 Apr 2024 • Avinash Anand, Mohit Gupta, Kritarth Prasad, Navya Singla, Sanjana Sanjeev, Jatin Kumar, Adarsh Raj Shivam, Rajiv Ratn Shah

Our experiments reveal that among the three models, MAmmoTH-13B emerges as the most proficient, achieving the highest level of competence in solving the presented mathematical problems.

KG-CTG: Citation Generation through Knowledge Graph-guided Large Language Models

no code implementations • 15 Apr 2024 • Avinash Anand, Mohit Gupta, Kritarth Prasad, Ujjwal Goel, Naman Lal, Astha Verma, Rajiv Ratn Shah

Citation Text Generation (CTG) is a task in natural language processing (NLP) that aims to produce text that accurately cites or references a cited document within a source document.

Knowledge Graphs Text Generation +1