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Found 6 papers, 2 papers with code
Towards Unified Alignment Between Agents, Humans, and Environment
We also conduct proof-of-concept studies by introducing realistic features to WebShop, including user profiles to demonstrate intentions, personalized reranking for complex environmental dynamics, and runtime cost statistics to reflect self-constraints.
Failures Pave the Way: Enhancing Large Language Models through Tuning-free Rule Accumulation
Large Language Models (LLMs) have showcased impressive performance.
Restricted Orthogonal Gradient Projection for Continual Learning
The basic idea is to adopt a restricted orthogonal constraint allowing parameters optimized in the direction oblique to the whole frozen space to facilitate forward knowledge transfer while consolidating previous knowledge.
Dynamic Multi-Branch Layers for On-Device Neural Machine Translation
With the rapid development of artificial intelligence (AI), there is a trend in moving AI applications, such as neural machine translation (NMT), from cloud to mobile devices.
Improving Abstractive Dialogue Summarization with Conversational Structure and Factual Knowledge
In this paper, we present a Knowledge Graph Enhanced Dual-Copy network (KGEDC), a novel framework for abstractive dialogue summarization with conversational structure and factual knowledge.
Machine Learning for Intelligent Optical Networks: A Comprehensive Survey
The use cases are analyzed and compared according to the used ML techniques.
