27 citations · 45 across the 6 of their papers we have counts for
6 papers
Rethinking Prospect Theory for LLMs: Revealing the Instability of Decision-Making under Epistemic Uncertainty
Rui Wang, Qihan Lin, Jiayu Liu +7
Real-world decision-making often involves uncertainty expressed in linguistic rather than numerical terms, and Prospect Theory (PT) provides a classic framework for modeling human…
Logic Query of Thoughts: Guiding Large Language Models to Answer Complex Logic Queries with Knowledge Graphs
Lihui Liu, Zihao Wang, Ruizhong Qiu +5
Despite the superb performance in many tasks, large language models (LLMs) bear the risk of generating hallucination or even wrong answers when confronted with tasks that demand th…
Privacy in Large Language Models: Attacks, Defenses and Future Directions
Haoran Li, Yulin Chen, Jinglong Luo +9
The advancement of large language models (LLMs) has significantly enhanced the ability to effectively tackle various downstream NLP tasks and unify these tasks into generative pipe…
Measurement of prompt and production in collisions at TeV
LHCb collaboration, R. Aaij, A. S. W. Abdelmotteleb +1046
The production of prompt and mesons is studied in proton-lead collisions at a centre-of-mass energy of TeV. The data sample correspo…
Measurements of asymmetries and branching fraction ratios of decays to two charm mesons
LHCb collaboration, R. Aaij, A. S. W. Abdelmotteleb +1053
The asymmetries of seven decays to two charm mesons are measured using data corresponding to an integrated luminosity of of proton-proton collisions c…
CKBP v2: Better Annotation and Reasoning for Commonsense Knowledge Base Population
Tianqing Fang, Quyet V. Do, Zihao Zheng +4
Commonsense Knowledge Bases (CSKB) Population, which aims at automatically expanding knowledge in CSKBs with external resources, is an important yet hard task in NLP. Fang et al. (…