ArXiv NLP research for Saturday, June 08, 2024.

00:19: MemeGuard: An LLM and VLM-based Framework for Advancing Content Moderation via Meme Intervention

01:44: Toward Reliable Ad-hoc Scientific Information Extraction: A Case Study on Two Materials Datasets

02:30: Flexible and Adaptable Summarization via Expertise Separation

04:18: Write Summary Step-by-Step: A Pilot Study of Stepwise Summarization

06:07: CaLM: Contrasting Large and Small Language Models to Verify Grounded Generation

07:23: Venn Diagram Prompting : Accelerating Comprehension with Scaffolding Effect

08:45: VALL-E 2: Neural Codec Language Models are Human Parity Zero-Shot Text to Speech Synthesizers

10:19: Planning Like Human: A Dual-process Framework for Dialogue Planning

11:48: Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas

12:57: Recent advancements in computational morphology : A comprehensive survey

14:01: MaTableGPT: GPT-based Table Data Extractor from Materials Science Literature

15:41: Design of reliable technology valuation model with calibrated machine learning of patent indicators

17:08: Fighting Against the Repetitive Training and Sample Dependency Problem in Few-shot Named Entity Recognition

18:59: Investigating and Addressing Hallucinations of LLMs in Tasks Involving Negation

20:25: Generalist Multimodal AI: A Review of Architectures, Challenges and Opportunities

21:47: ThatiAR: Subjectivity Detection in Arabic News Sentences

23:07: Do LLMs Recognize me, When I is not me: Assessment of LLMs Understanding of Turkish Indexical Pronouns in Indexical Shift Contexts

24:49: Creativity Has Left the Chat: The Price of Debiasing Language Models

25:57: CERET: Cost-Effective Extrinsic Refinement for Text Generation

27:05: GrowOVER: How Can LLMs Adapt to Growing Real-World Knowledge?

28:07: Video-Language Understanding: A Survey from Model Architecture, Model Training, and Data Perspectives

29:03: ATLAS: Improving Lay Summarisation with Attribute-based Control