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arXiv NLP research summaries for March 22, 2024.
Today's Research Themes (AI-Generated):
• Counterspeech generation by LLMs shows a trade-off between quality and toxicity, with size and type of model affecting outcomes.
• Single linear layer can yield task-adapted low-rank matrices for efficient fine-tuning of LLMs, reducing parameter needs.
• KnowLA leverages knowledge graph embeddings to enhance LLMs' parameter-efficient finetuning, shown effective on several benchmarks.
• RARG approach using LLMs generates polite and factual responses to counter online misinformation by leveraging scientific evidence.
• Blueprint Debate on Graphs (BDoG) introduces multi-agent debate to multimodal reasoning, curbing opinion trivialization and focus diversion.
arXiv NLP research summaries for March 22, 2024.
Today's Research Themes (AI-Generated):
• Counterspeech generation by LLMs shows a trade-off between quality and toxicity, with size and type of model affecting outcomes.
• Single linear layer can yield task-adapted low-rank matrices for efficient fine-tuning of LLMs, reducing parameter needs.
• KnowLA leverages knowledge graph embeddings to enhance LLMs' parameter-efficient finetuning, shown effective on several benchmarks.
• RARG approach using LLMs generates polite and factual responses to counter online misinformation by leveraging scientific evidence.
• Blueprint Debate on Graphs (BDoG) introduces multi-agent debate to multimodal reasoning, curbing opinion trivialization and focus diversion.