Survey of hallucination in natural language generation

Z Ji, N Lee, R Frieske, T Yu, D Su, Y Xu, E Ishii… - ACM Computing …, 2023 - dl.acm.org
Natural Language Generation (NLG) has improved exponentially in recent years thanks to
the development of sequence-to-sequence deep learning technologies such as Transformer …

Explainable artificial intelligence for autonomous driving: A comprehensive overview and field guide for future research directions

S Atakishiyev, M Salameh, H Yao, R Goebel - IEEE Access, 2024 - ieeexplore.ieee.org
Autonomous driving has achieved significant milestones in research and development over
the last two decades. There is increasing interest in the field as the deployment of …

Survey on reinforcement learning for language processing

V Uc-Cetina, N Navarro-Guerrero… - Artificial Intelligence …, 2023 - Springer
In recent years some researchers have explored the use of reinforcement learning (RL)
algorithms as key components in the solution of various natural language processing (NLP) …

Faithfulness in natural language generation: A systematic survey of analysis, evaluation and optimization methods

W Li, W Wu, M Chen, J Liu, X Xiao, H Wu - arXiv preprint arXiv:2203.05227, 2022 - arxiv.org
Natural Language Generation (NLG) has made great progress in recent years due to the
development of deep learning techniques such as pre-trained language models. This …

Augmenting reinforcement learning with transformer-based scene representation learning for decision-making of autonomous driving

H Liu, Z Huang, X Mo, C Lv - arXiv preprint arXiv:2208.12263, 2022 - arxiv.org
Decision-making for urban autonomous driving is challenging due to the stochastic nature of
interactive traffic participants and the complexity of road structures. Although reinforcement …

Help me heal: A reinforced polite and empathetic mental health and legal counseling dialogue system for crime victims

K Mishra, P Priya, A Ekbal - Proceedings of the AAAI Conference on …, 2023 - ojs.aaai.org
The potential for conversational agents offering mental health and legal counseling in an
autonomous, interactive, and vitally accessible environment is getting highlighted due to the …

Unfamiliar finetuning examples control how language models hallucinate

K Kang, E Wallace, C Tomlin, A Kumar… - arXiv preprint arXiv …, 2024 - arxiv.org
Large language models are known to hallucinate when faced with unfamiliar queries, but
the underlying mechanism that govern how models hallucinate are not yet fully understood …

e-THERAPIST: I suggest you to cultivate a mindset of positivity and nurture uplifting thoughts

K Mishra, P Priya, M Burja, A Ekbal - Proceedings of the 2023 …, 2023 - aclanthology.org
The shortage of therapists for mental health patients emphasizes the importance of globally
accessible dialogue systems alleviating their issues. To have effective interpersonal …

Charactereval: A chinese benchmark for role-playing conversational agent evaluation

Q Tu, S Fan, Z Tian, R Yan - arXiv preprint arXiv:2401.01275, 2024 - arxiv.org
Recently, the advent of large language models (LLMs) has revolutionized generative
agents. Among them, Role-Playing Conversational Agents (RPCAs) attract considerable …

Empathetic persuasion: reinforcing empathy and persuasiveness in dialogue systems

AM Samad, K Mishra, M Firdaus… - Findings of the …, 2022 - aclanthology.org
Persuasion is an intricate process involving empathetic connection between two individuals.
Plain persuasive responses may make a conversation non-engaging. Even the most well …