otherentity ID: chatgpt

Related Papers

Analyzing ChatGPT’s Mathematical Deficiencies: Insights and Contributions

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

In this study, we assess ChatGPT, OpenAI’s latest conversational chatbot and large lan- guage model (LLM), on its performance in elementary-grade arithmetic and logic prob- lems. Despite its impressive coherence …...

1115

Beyond Information: Is ChatGPT Empathetic Enough?

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractThis paper aims to explore and enhance ChatGPT’s abilities to generate more human-like conversations by taking into account the emotional state of the user. To achieve this goal, a prompt-driven …...

20137

ByGPT5: End-to-End Style-conditioned Poetry Generation with Token-free Language Models

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractState-of-the-art poetry generation systems are often complex. They either consist of task-specific model pipelines, incorporate prior knowledge in the form of manually created constraints, or both. In contrast, end-to-end models …...

38456

DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractThe MultiCoNER II shared task aims to tackle multilingual named entity recognition (NER) in fine-grained and noisy scenarios, and it inherits the semantic ambiguity and low-context setting of the MultiCoNER …...

24695

Does the “Most Sinfully Decadent Cake Ever” Taste Good? Answering Yes/No Questions from Figurative Contexts

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractFigurative language is commonplace in natural language, and while making communication memorable and creative, can be difficult to understand. In this work, we investigate the robustness of Question Answering (QA) …...

19992

Evaluating Generative Models for Graph-to-Text Generation

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractLarge language models (LLMs) have been widely employed for graph-to-text generation tasks. However, the process of finetuning LLMs requires significant training resources and annotation work. In this paper, we explore …...

19894

Generative Models For Indic Languages: Evaluating Content Generation Capabilities

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractLarge language models (LLMs) and generative AI have emerged as the most important areas in the field of natural language processing (NLP). LLMs are considered to be a key component …...

20125

HW-TSC at SemEval-2023 Task 7: Exploring the Natural Language Inference Capabilities of ChatGPT and Pre-trained Language Model for Clinical Trial

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractIn this paper, we describe the multi strategy system for SemEval-2022 Task 7, This task aims to determine whether a given statement is supported by one or two Clinical Trial …...

24750

Improved Instruction Ordering in Recipe-Grounded Conversation

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractIn this paper, we study the task of instructional dialogue and focus on the cooking domain. Analyzing the generated output of the GPT-J model, we reveal that the primary challenge …...

38181

Multi-Level Knowledge Distillation for Out-of-Distribution Detection in Text

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractSelf-supervised representation learning has proved to be a valuable component for out-of-distribution (OoD) detection with only the texts of in-distribution (ID) examples. These approaches either train a language model from …...

38465

Towards a Robust Detection of Language Model-Generated Text: Is ChatGPT that easy to detect?

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractRecent advances in natural language processing (NLP) have led to the development of large language models (LLMs) such as ChatGPT. This paper proposes a methodology for developing and evaluating ChatGPT …...

1729

When Truth Matters - Addressing Pragmatic Categories in Natural Language Inference (NLI) by Large Language Models (LLMs)

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractIn this paper, we focus on the ability of large language models (LLMs) to accommodate different pragmatic sentence types, such as questions, commands, as well as sentence fragments for natural …...

26434