For a long time, researchers have sought artificial intelligence (AI) that matches or exceeds
human intelligence. AI agents, which are artificial entities capable of sensing the …

Dialogue systems are a popular natural language processing (NLP) task as it is promising in
real-life applications. It is also a complicated task since many NLP tasks deserving study are …

Large Language Models (LLMs) are becoming increasingly smart and autonomous,
targeting real-world pragmatic missions beyond traditional NLP tasks. As a result, there has …

Language models (LMs) have recently been shown to generate more factual responses by
employing modularity (Zhou et al., 2021) in combination with retrieval (Adolphs et al., 2021) …

Many real-world applications of language models (LMs), such as writing assistance and
code autocomplete, involve human-LM interaction. However, most benchmarks are non …

Recent work has shown that fine-tuning large pre-trained language models on a collection
of tasks described via instructions, aka instruction-tuning, improves their zero and few-shot …

Large Language Models (LLMs) have the capacity of performing complex scheduling in a
multi-agent system and can coordinate these agents into completing sophisticated tasks that …

Text representation models are prone to exhibit a range of societal biases, reflecting the non-
controlled and biased nature of the underlying pretraining data, which consequently leads to …

As natural language processing methods are increasingly deployed in real-world scenarios
such as healthcare, legal systems, and social science, it becomes necessary to recognize …