Cover Image

Challenges and Applications of Large Language Models: A Comparison of GPT and DeepSeek family of models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sharma, Shubham, Tuli, Sneha, Badam, Narendra
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence Machine Learning 68T50, 68T07 I.2.7; I.2.6; H.3.3
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fact Grounded Attention: Eliminating Hallucination in Large Language Models Through Attention Level Knowledge Integration
by: Gupta, Aayush
Published: (2025)

Optimizing Retrieval-Augmented Generation (RAG) for Colloquial Cantonese: A LoRA-Based Systematic Review
by: Calonge, David Santandreu, et al.
Published: (2025)

EdgeJury: Cross-Reviewed Small-Model Ensembles for Truthful Question Answering on Serverless Edge Inference
by: Kumar, Aayush
Published: (2025)

Representing LLMs in Prompt Semantic Task Space
by: Kashani, Idan, et al.
Published: (2025)

WebMap -- Large Language Model-assisted Semantic Link Induction in the Web
by: Pokharel, Shiraj, et al.
Published: (2025)

AI Agents-as-Judge: Automated Assessment of Accuracy, Consistency, Completeness and Clarity for Enterprise Documents
by: Dasgupta, Sudip, et al.
Published: (2025)

Reducing Labeling Costs in Sentiment Analysis via Semi-Supervised Learning
by: Jafarlou, Minoo, et al.
Published: (2024)

On Self-improving Token Embeddings
by: Kubek, Mario M., et al.
Published: (2025)

Mubeen AI: A Specialized Arabic Language Model for Heritage Preservation and User Intent Understanding
by: Aljafari, Mohammed, et al.
Published: (2025)

Combating data scarcity in recommendation services: Integrating cognitive types of VARK and neural network technologies (LLM)
by: Zmanovskii, Nikita
Published: (2026)

PolyTruth: Multilingual Disinformation Detection using Transformer-Based Language Models
by: Gouliev, Zaur, et al.
Published: (2025)

Beyond Long Context: When Semantics Matter More than Tokens
by: Chawdhury, Tarun Kumar, et al.
Published: (2025)

When Does Content-Based Routing Work? Representation Requirements for Selective Attention in Hybrid Sequence Models
by: Basu, Abhinaba
Published: (2026)

NOTAI.AI: Explainable Detection of Machine-Generated Text via Curvature and Feature Attribution
by: Breneur, Oleksandr Marchenko, et al.
Published: (2026)

Rethinking the Multilingual Reasoning Gap with Layer Swap
by: Lasbordes, Maxence, et al.
Published: (2026)

Language processing in humans and computers
by: Pavlovic, Dusko
Published: (2024)

Harnessing non-adversarial robustness in large language models
by: Zhou, Qinghua, et al.
Published: (2026)

A Multi-Agent Framework for Medical AI: Leveraging Fine-Tuned GPT, LLaMA, and DeepSeek R1 for Evidence-Based and Bias-Aware Clinical Query Processing
by: Nourmohammadi, Naeimeh, et al.
Published: (2026)

CLMN: Concept based Language Models via Neural Symbolic Reasoning
by: Yang, Yibo
Published: (2025)

Heterogeneous LLM Methods for Ontology Learning (Few-Shot Prompting, Ensemble Typing, and Attention-Based Taxonomies)
by: Beliaeva, Aleksandra, et al.
Published: (2025)

Thinking Machines: Mathematical Reasoning in the Age of LLMs
by: Asperti, Andrea, et al.
Published: (2025)

Latent Object Permanence: Topological Phase Transitions, Free-Energy Principles, and Renormalization Group Flows in Deep Transformer Manifolds
by: Alpay, Faruk, et al.
Published: (2026)

Mechanistic Analysis of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning
by: Imanov, Olaf Yunus Laitinen
Published: (2026)

DPDisc: From Factoid Questions to Data Product Requests for Open-World Data Product Discovery over Tables and Text
by: Zhang, Liangliang, et al.
Published: (2025)

GE-Chat: A Graph Enhanced RAG Framework for Evidential Response Generation of LLMs
by: Da, Longchao, et al.
Published: (2025)

BMAM: Brain-inspired Multi-Agent Memory Framework
by: Li, Yang, et al.
Published: (2026)

Towards Robust Retrieval-Augmented Generation Based on Knowledge Graph: A Comparative Analysis
by: Amamou, Hazem, et al.
Published: (2026)

Improving Large-Scale k-Nearest Neighbor Text Categorization with Label Autoencoders
by: Ribadas-Pena, Francisco J., et al.
Published: (2024)

How Pruning Reshapes Features: Sparse Autoencoder Analysis of Weight-Pruned Language Models
by: Borobia, Hector, et al.
Published: (2026)

AIPsy-Affect: A Keyword-Free Clinical Stimulus Battery for Mechanistic Interpretability of Emotion in Language Models
by: Keeman, Michael
Published: (2026)

The Concept Allocation Zone: Tracking How Concepts Form Across Transformer Depth
by: Henry, James
Published: (2026)

Product-of-Experts Training Reduces Dataset Artifacts in Natural Language Inference
by: Mathew, Aby Mammen
Published: (2026)

LemmaBench: A Live, Research-Level Benchmark to Evaluate LLM Capabilities in Mathematics
by: Peyronnet, Antoine, et al.
Published: (2026)

SafeAnchor: Preventing Cumulative Safety Erosion in Continual Domain Adaptation of Large Language Models
by: Guo, Dongxin, et al.
Published: (2026)

ProactBench: Beyond What The User Asked For
by: Harfi, Sepehr, et al.
Published: (2026)

Progressive Training for Explainable Citation-Grounded Dialogue: Reducing Hallucination to Zero in English-Hindi LLMs
by: Pandya, Vedant
Published: (2026)

Inference acceleration for large language models using "stairs" assisted greedy generation
by: Grigaliūnas, Domas, et al.
Published: (2024)

Strategic Doctrine Language Models (sdLM): A Learning-System Framework for Doctrinal Consistency and Geopolitical Forecasting
by: Imanov, Olaf Yunus Laitinen, et al.
Published: (2026)

Structure and Destructure: Dual Forces in the Making of Knowledge Engines
by: Chen, Yihong
Published: (2025)

A Reproducible, Scalable Pipeline for Synthesizing Autoregressive Model Literature
by: Alpay, Faruk, et al.
Published: (2025)