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arXiv NLP research summaries for January 17, 2024.
Today's Research Themes (AI-Generated):
• Novel finetuning of adapters improves multilingual ASR for tail languages with significant error rate reduction.
• Development of AttackEval offers advanced evaluation frameworks for jailbreak attacks on large language models.
• Augmenting math word problems through iterative composing enhances mathematical reasoning in language models.
• Study introduces explainable multi-task model for cyberbullying detection in code-mixed languages.
• Exploration of LLMs in text-based games provides insights into their neurosymbolic reasoning capabilities.
arXiv NLP research summaries for January 17, 2024.
Today's Research Themes (AI-Generated):
• Novel finetuning of adapters improves multilingual ASR for tail languages with significant error rate reduction.
• Development of AttackEval offers advanced evaluation frameworks for jailbreak attacks on large language models.
• Augmenting math word problems through iterative composing enhances mathematical reasoning in language models.
• Study introduces explainable multi-task model for cyberbullying detection in code-mixed languages.
• Exploration of LLMs in text-based games provides insights into their neurosymbolic reasoning capabilities.