Ep. 258 - June 8, 2024

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