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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 …
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 …
In recent years, a growing number of studies have recognized the benefits of empathy and …
Using cognitive psychology to understand GPT-3
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 …
More specifically, we assess GPT-3's decision-making, information search, deliberation, and …
The emergence of economic rationality of GPT
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 …
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
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 …
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
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 …
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
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 …
public debates. Understanding not only when these models work well and succeed but also …
Improving empathetic response generation by recognizing emotion cause in conversations
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 …
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
Transformer is a deep learning language model widely used for natural language
processing (NLP) services in datacenters. Among transformer models, Generative …
processing (NLP) services in datacenters. Among transformer models, Generative …
Knowledge bridging for empathetic dialogue generation
Lack of external knowledge makes empathetic dialogue systems difficult to perceive implicit
emotions and learn emotional interactions from limited dialogue history. To address the …
emotions and learn emotional interactions from limited dialogue history. To address the …