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cs.CL2026

TextNCA: Neural Cellular Automata for Language Modeling via Hierarchical Local Attention

Avni Mittal, Avinash Anand, Ashutosh Kumar +7

Can a strictly local, iterated, weight-shared computation primitive support language modelling, and which of those three properties actually drives the model's behaviour? We define…

cs.CL2026

Psychologically-Grounded Graph Modeling for Interpretable Depression Detection

Rishitej Reddy Vyalla, Kritarth Prasad, Avinash Anand +4

Automatic depression detection from conversational interactions holds significant promise for scalable screening but remains hindered by severe data scarcity and a lack of clinical…

cs.CL2024

Multilingual Mathematical Reasoning: Advancing Open-Source LLMs in Hindi and English

Avinash Anand, Kritarth Prasad, Chhavi Kirtani +4

Large Language Models (LLMs) excel in linguistic tasks but struggle with mathematical reasoning, particularly in non English languages like Hindi. This research aims to enhance the…

cs.CL2024

Context-Enhanced Language Models for Generating Multi-Paper Citations

Avinash Anand, Kritarth Prasad, Ujjwal Goel +4

Citation text plays a pivotal role in elucidating the connection between scientific documents, demanding an in-depth comprehension of the cited paper. Constructing citations is oft…

cs.CL2024

Mathify: Evaluating Large Language Models on Mathematical Problem Solving Tasks

Avinash Anand, Mohit Gupta, Kritarth Prasad +5

The rapid progress in the field of natural language processing (NLP) systems and the expansion of large language models (LLMs) have opened up numerous opportunities in the field of…

cs.CL2024

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

Avinash Anand, Mohit Gupta, Kritarth Prasad +4

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 documen…