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Found 4 papers, 1 papers with code
PANDA: Preference Adaptation for Enhancing Domain-Specific Abilities of LLMs
While Large language models (LLMs) have demonstrated considerable capabilities across various natural language tasks, they often fall short of the performance achieved by domain-specific state-of-the-art models.
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.
Power Tracking Control of Heterogeneous Populations of TCLs with Partially Measured States
This paper presents a new aggregate power tracking control scheme for populations of thermostatically controlled loads (TCLs).
SPIRAL: Self-supervised Perturbation-Invariant Representation Learning for Speech Pre-Training
The student network is trained to output representation resembling that of the teacher.
