The rise and potential of large language model based agents: A survey
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 …
What does it mean for a language model to preserve privacy?
Natural language reflects our private lives and identities, making its privacy concerns as
broad as those of real life. Language models lack the ability to understand the context and …
broad as those of real life. Language models lack the ability to understand the context and …
A comprehensive survey of personal knowledge graphs
P Chakraborty, DK Sanyal - Wiley Interdisciplinary Reviews …, 2023 - Wiley Online Library
Abstract Information that can encapsulate a person's daily life and its different aspects
provides insightful knowledge. This knowledge can prove to be more useful than general …
provides insightful knowledge. This knowledge can prove to be more useful than general …
Fine-grained post-training for improving retrieval-based dialogue systems
Retrieval-based dialogue systems display an outstanding performance when pre-trained
language models are used, which includes bidirectional encoder representations from …
language models are used, which includes bidirectional encoder representations from …
Do response selection models really know what's next? utterance manipulation strategies for multi-turn response selection
In this paper, we study the task of selecting the optimal response given a user and system
utterance history in retrieval-based multi-turn dialog systems. Recently, pre-trained …
utterance history in retrieval-based multi-turn dialog systems. Recently, pre-trained …
Secformer: Towards fast and accurate privacy-preserving inference for large language models
With the growing use of large language models hosted on cloud platforms to offer inference
services, privacy concerns are escalating, especially concerning sensitive data like …
services, privacy concerns are escalating, especially concerning sensitive data like …
Deep learning for dialogue systems: Chit-chat and beyond
With the rapid progress of deep neural models and the explosion of available data
resources, dialogue systems that supports extensive topics and chit-chat conversations are …
resources, dialogue systems that supports extensive topics and chit-chat conversations are …
Modeling intent graph for search result diversification
Search result diversification aims to offer diverse documents that cover as many intents as
possible. Most existing implicit diversification approaches model diversity through the …
possible. Most existing implicit diversification approaches model diversity through the …
SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC
J Luo, Y Zhang, Z Zhang, J Zhang, X Mu… - Findings of the …, 2024 - aclanthology.org
With the growing use of Transformer models hosted on cloud platforms to offer inference
services, privacy concerns are escalating, especially concerning sensitive data like …
services, privacy concerns are escalating, especially concerning sensitive data like …
Dialogue history matters! personalized response selection in multi-turn retrieval-based chatbots
Existing multi-turn context-response matching methods mainly concentrate on obtaining
multi-level and multi-dimension representations and better interactions between context …
multi-level and multi-dimension representations and better interactions between context …