The rise and potential of large language model based agents: A survey

Z **, W Chen, X Guo, W He, Y Ding, B Hong… - Science China …, 2025 - Springer
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 …

Empathetic conversational systems: A review of current advances, gaps, and opportunities

AS Raamkumar, Y Yang - IEEE Transactions on Affective …, 2022 - ieeexplore.ieee.org
Empathy is a vital factor that contributes to mutual understanding, and joint problem-solving.
In recent years, a growing number of studies have recognized the benefits of empathy and …

Using cognitive psychology to understand GPT-3

M Binz, E Schulz - Proceedings of the National Academy of Sciences, 2023 - pnas.org
We study GPT-3, a recent large language model, using tools from cognitive psychology.
More specifically, we assess GPT-3's decision-making, information search, deliberation, and …

The emergence of economic rationality of GPT

Y Chen, TX Liu, Y Shan, S Zhong - … of the National Academy of Sciences, 2023 - pnas.org
As large language models (LLMs) like GPT become increasingly prevalent, it is essential
that we assess their capabilities beyond language processing. This paper examines the …

A survey of safety and trustworthiness of large language models through the lens of verification and validation

X Huang, W Ruan, W Huang, G **, Y Dong… - Artificial Intelligence …, 2024 - Springer
Large language models (LLMs) have exploded a new heatwave of AI for their ability to
engage end-users in human-level conversations with detailed and articulate answers across …

MISC: a mixed strategy-aware model integrating COMET for emotional support conversation

Q Tu, Y Li, J Cui, B Wang, JR Wen, R Yan - arxiv preprint arxiv …, 2022 - arxiv.org
Applying existing methods to emotional support conversation--which provides valuable
assistance to people who are in need--has two major limitations:(a) they generally employ a …

[PDF][PDF] Inducing anxiety in large language models increases exploration and bias

J Coda-Forno, K Witte, AK Jagadish… - arxiv preprint arxiv …, 2023 - hcai-munich.com
Large language models are transforming research on machine learning while galvanizing
public debates. Understanding not only when these models work well and succeed but also …

Improving empathetic response generation by recognizing emotion cause in conversations

J Gao, Y Liu, H Deng, W Wang, Y Cao… - Findings of the …, 2021 - aclanthology.org
Current approaches to empathetic response generation focus on learning a model to predict
an emotion label and generate a response based on this label and have achieved …

Dfx: A low-latency multi-fpga appliance for accelerating transformer-based text generation

S Hong, S Moon, J Kim, S Lee, M Kim… - 2022 55th IEEE/ACM …, 2022 - ieeexplore.ieee.org
Transformer is a deep learning language model widely used for natural language
processing (NLP) services in datacenters. Among transformer models, Generative …

Knowledge bridging for empathetic dialogue generation

Q Li, P Li, Z Ren, P Ren, Z Chen - … of the AAAI conference on artificial …, 2022 - ojs.aaai.org
Lack of external knowledge makes empathetic dialogue systems difficult to perceive implicit
emotions and learn emotional interactions from limited dialogue history. To address the …