NLPExplorer

CustomNLP4U - 2024

Total Papers:- 25

Total Papers accross all years:- 25

Total Citations :- 0

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Grounded Language Agent for Product Search via Intelligent Web Interactions

Moghis Fereidouni | Adib Mosharrof | A.b. Siddique |

Empowering AAC Users: A Systematic Integration of Personal Narratives with Conversational AI

V-GlórIA - Customizing Large Vision and Language Models to European Portuguese

Afonso Simplício | David Semedo | Joao Magalhaes |

What Kind of Sourcery is This? Evaluating GPT-4’s Performance on Linking Scientific Fact to Citations

Autumn Toney |

Understanding Players as if They Are Talking to the Game in a Customized Language: A Pilot Study

Learning to Adapt Large Language Models to One-Shot In-Context Intent Classification on Unseen Domains

Joongbo Shin | Youbin Ahn | Seungpil Won | Stanley Jungkyu Choi |

Exploring the Readiness of Prominent Small Language Models for the Democratization of Financial Literacy

Tagore Rao Kosireddy | Jeffrey David Wall | Evan Lucas |

LLM-Based Robust Product Classification in Commerce and Compliance

Sina Gholamian | Gianfranco Romani | Bartosz Rudnikowicz | Stavroula Skylaki |

Less is Fed More: Sparsity Reduces Feature Distortion in Federated Learning

Abhinav Sukumar Rao | Aashiq Muhamed | Harshita Diddee |

Adapting LLM Predictions in In-Context Learning with Data Priors

Javier Chiyah-Garcia | Prasoon Goyal | Michael Johnston | Reza Ghanadan |

Navigate Complex Physical Worlds via Geometrically Constrained LLM

Yongqiang Huang | Wentao Ye | Liyao Li | Junbo Zhao |

“Let’s Argue Both Sides”: Argument Generation Can Force Small Models to Utilize Previously Inaccessible Reasoning Capabilities

Kaveh Eskandari Miandoab | Vasanth Sarathy |

Active Learning for Robust and Representative LLM Generation in Safety-Critical Scenarios

Sabit Hassan | Anthony Sicilia | Malihe Alikhani |

evision PDF of 'Evaluating and Training Long-Context Large Language Models for Question Answering on Scientific Papers

Lukas Hilgert | Danni Liu | Jan Niehues |

HyPA-RAG: A Hybrid Parameter Adaptive Retrieval-Augmented Generation System for AI Legal and Policy Applications